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THE INFLUENCE OF PRODUCT INNOVATION AND
AUTOBIOGHRAPHICAL MEMORY TOWARD PURCHASE
INTENTION THAT IMPACT ON CONVERSE SNEAKERS CUSTOMER
LOYALTY
RENDY BUDI KUSUMA
1113081100004
DEPARTEMENT OF MANAGEMENT INTERNATIONAL
FACULTY OF ECONOMIC AND BUSINESS
SYARIF HIDAYATULLAH STATE ISLAMIC UNIVERSITY
JAKARTA
1440 AH / 2019 A
i
THESIS VALIDATION SHEET
THE INFLUENCE OF PRODUCT INNOVATION AND
AUTOBIOGRAPHICAL MEMORY TOWARD PURCHASE INTENTION
THAT IMPACT ON CONVERSE SNEAKERS CUSTOMER LOYALTY
Submitted to the Faculty of Economics and Business
To Qualify for a Bachelor Degree of Economics
By:
Rendy Budi Kusuma
1113081100004
Under the Supervision of
Cut Erika A.F SE., MBA
NIP: 197410182014112001
DEPARTEMENT OF MANAGEMENT INTERNATIONAL
FACULTY OF ECONOMIC AND BUSINESS
SYARIF HIDAYATULLAH STATE ISLAMIC UNIVERSITY
JAKARTA
1440 AH / 2019 A
ii
THESIS EXAMINATION SHEET
Today is 24 July 2019, has been conducted on the student thesis examination :
1. Name : Rendy Budi Kusuma
2. Student Number : 1113081100004
3. Departement : Management
4. Thesis Title : The Invluence Of Product Innovation and
Autobiographical Memory Toward Purchase Intention That Impact on
Converse Sneakers Customer Loyalty.
After careful observation and attention to appearance and capabilities relevant for
thesis examination process, it was decided that the above student passed and the
thesis was accepted as one of requirements to obtain a Bachelor of Economic in
The Faculty of Economic and Business Syarif Hidayatullah State Islamic
University Jakarta.
Jakarta, 24 July 2019
1. Murdiyah Hayati, S.Kom.,MM
NIP : 197410032003122001 (________________)
Chairman
2. Cut Erika A.F SE., MBA
NIP : 197410182014112001 (________________)
First Advisor
3. Ella Patriana., Ir., MM
NIP:19690528200801201 (________________)
Expert Examiner
iii
COMPREHENSIVE EXAMINATION SHEET
Today Wednesday, November 8, 2017 a comprehensive examination has been
conducted on behalf of students:
1. Nama : Rendy Budi Kusuma
2. NIM : 1113081100004
3. Departement : Management
4. Thesis Title : The Influence of product innovation and autobiographical
memory toward purchase intention that impact on converse sneakers
customer loyalty
After observing and paying attention to the appearance and ability concerned
during the comprehensive examination, it was decided that the above students
were declared to have passed and given the opportunity to proceed to the Thesis
Examination stage as one of the requirements to obtain a Bachelor of Economics
degree at the Faculty of Economics and Business Syarif Hidayatullah State
Islamic University Jakarta.
Jakarta, 08 November 2017
1. Cut Erika AF, SE., MBA ( _______________________ )
NIP: 197410182014112001 Examiner 1
2. Ella Patriana., Ir., MM ( _______________________ )
NIP: 196905282008012010 Examiner 2
iv
STATEMENT OF AUTHENTICITY SCHIENTIFIC WORK
Signature Below :
Name : Rendy Budi Kusuma
Student Number : 1113081100004
Faculty : Economics and Business
Departement : Management (International Program)
Hereby declare that in the writing of this thesis, I :
1. Not use other people‘s ideas without being able to develop and
accountable.
2. Do not plagiarism of other people’s work manuscript.
3. Do not use other people’s work without mentioning the original source or
without the owner’s permission.
4. Do not manipulate and falsify the data.
5. Own work and able to work responsible for this work.
In the future there is a demand from other side of my work, and have been
accountably proved, was indeed found evidence that have violated the above
statement, then im ready to be sanctioned according to rules applicable in the
Faculty of Economic and Business State Islamic University Syarif Hidayatullah
Jakarta.
Thus statement truly made with sincerely.
Jakarta, 25 June 2019
(Rendy Budi Kusuma)
v
CURRICULUM VITAE
PERSONAL INFORMATION
Name : Rendy Budi Kusuma
Place, Date of Birth : Jakarta, 21 January 2019
Gender : Male
Address : Dasana Indah SG 6 no 24 / SG 7 no 8, Kel. Bojong
Nangka, Kec. Kelapa Dua, Tangerang.
Phone : 085771102404 (WA) / 081274494313 (TLP)
Email : [email protected]
EDUCATION
2001 – 2007 SDN Kampung Bambu III
2007 – 2010 SMP Al-fityan School
2010 – 2013 SMKN 7 Kab. Tangerang
2013 – 2019 Jakarta State Isclamic University (UIN Jakarta)
EXPERIENCE
1. PT. SEIJIN MAR – JUN 2012
2. CINEMA 21 JUL – SEP 2014
3. MAP Group DEC – MAR 2015
4. Ciputra Group MAR – SEP 2018
5. Persistence Private SEP – NOW 2019
vi
ABSTRAC
THE INFLUENCE OF PRODUCT INNOVATION AND
AUTOBIOGRAPHICAL MEMORY TOWARD PURCHASE INTENTION
THAT IMPACT ON CONVERSE SNEAKERS CUSTOMER LOYALT
Rendy Budi Kusuma
1113081100004
This study aims to analyze the effect of product innovation and
autobiographical memory on purchase intention and its impact on consumer
loyalty to Converse shoes. This study used 100 respondents and all respondents
were people who had experience buying converse shoes. The method used is path
analysis. The results of the study show that product innovation has a partial effect
on purchase intention. Autobiographical memory has a partial influence on
purchase intention. In the second structural equation shows that product
innovation, autobiographical memory and purchase intention influence
simultaneously on customer loyalty. Product innovation does not partially affect
customer loyalty, but autobiographical memory and purchase intention partially
influence customer loyalty.
Keyword: Product Innovation, Autobiographical Memory, Purchase
Intention, Customer Loyalty
vii
ABSTRAK
THE INFLUENCE OF PRODUCT INNOVATION AND
AUTOBIOGRAPHICAL MEMORY TOWARD PURCHASE INTENTION
THAT IMPACT ON CONVERSE SNEAKERS CUSTOMER LOYALT
Rendy Budi Kusuma
1113081100004
Penelitian ini bertujuan untuk menganalisis pengaruh inovasi produk dan
memory otobiografi terhadap minat beli dan dampaknya terhadap loyalitas
konsumen sepatu converse. Penelitian ini menggunakan 100 responden dan
keseluruhan responden adalah orang yang pernah memiliki pengalaman membeli
sepatu converse. Metode yang digunakan adalah path analysis. Hasil penelitian
menunjukan bahwa inovasi produk memiliki pengaruh secara parsial terhadap
minat beli. Memory otobiografi memiliki pengaruh secara parsial terhadap minat
beli. Pada persamaan struktur kedua menunjukan bahwa inovasi produk, memory
otobiografi dan minat beli berpengaruh secara simultan terhadap loyalitas
pelanggan. Inovasi produk tidak berpengaruh secara parsial terhadap loyalitas
pelanggan, tetapi memory otobiografi dan minat beli berpengaruh secara parsial
terhadap loyalitas pelangan.
Kata kunci: Inovasi Produk, Memory Otobiografi, Minat Beli, Loyalitas
Pelanggan
viii
FOREWORD
Assalamualaikum Wr. Wb
Alhamdulillahhirobil alamin, thanks to ALLAH SWT for all his gift and favor.
Best regards also to prophet Muhammad SAW for being role model to me. So that
author can complete this thesis to attain a Bachelor of Economy Degree in UIN
Syarif Hidayatullah Jakarta.
In the process of drafting and preparation of this thesis author realized that thesis
is far from perfect, because the perfection just only ALLAH SWT, but with effort,
hard work, prayers, and never ending support given by families, friends and
faculty supervisor. Thanks to the people who have helped me in the preparation of
thesis :
1. Allah, who always gives grace and gift to the author and gives ease and
fluency to all matters of the author in completing his thesis.
2. Both beloved parents, who have cared for and raised and gave affection to the
author and also always pray and provide support both morally and materially
so that the writer can complete this thesis.
3. All the lectures who have taught many things patiently. Thank you for all the
knowledge that will lead author to a better future. May your charity and deeds
are always recorded by Allah SWT.
4. Cut Erika AF, SE., MBA, as the thesis supervisor. By advice, direction, and
guidance, author can write this thesis properly. Thank you so much for your
time and kindness to help me in finishing this thesis.
5. Prof. Dr. Amilin, SE., Ak., M.Si., CA, QIA., BKP., CRMP as a Dean of
Faculty of Economics and Business of UIN Syarif Hidayatullah Jakarta and
as a first supervisor, thank you so much for your recommendation and
knowledge during guiding to finish the thesis.
ix
6. Dr. Titi Dewi Warninda, SE., M.Si. as a Vice Dean of Faculty of Economics
and Business of UIN Syarif Hidayatullah Jakarta and as a second supervisor,
thank you for your recommendation, advice, time, and knowledge during
guiding to finish the thesis.
7. All the staffs in Economic and Business Faculty. Especially to Mr. Bonyx
who always helps to provide all the procedures I need in making this thesis.
8. Beloved sister Dewi and Ayu for always entertaining, when author was
exhausted and replaced it with a smile, joke and laughter. Thanks for being
one of the supporters. Love you deeply.
9. Beloved Dina Krisnaningrum who always gave advice and accompanied the
author at the time of thesis guidance. who always gives support in difficult
situation and give the solution of the problem.
10. Amjad, who always support and teach the author until understand how to
using SPSS. Thank you for the treat, every time stay at your house.
everything in this thesis feels easier and the solution in this thesis can be
completed
11. ROTBAK squad, Ilham, Amjad, Sandy, Zailani, Dimas, Rohim, Azeem,
Farhan, Rafly, Mukhlis, Alfian, Thanks for every moment you given. Thanks
to willing to hear all those stories and give support every time, will missed
every moment spent together. We can achieve our dreams and our friendship
will continue forever.
12. MELAS squad, Nugroho, Rizqo, Naufal, Majid. Thanks to willing to hear all
those stories and give support me every time, will missed every moment we
spent together.
13. KKN SEMESTA 207, Khairul, Lina, April, Isma, Rara, Wahyu, Mukhlis,
Azura, Citra, Aida. Who living together in full of month, laught, learning, and
solving the problem together in Munjul village, Tangerang.
14. ENJ Banten 2017, Kiki, Harry, Naufal, Rizky, Eri, Wildan, Putri, Beler,
Sidiq, Vera, Wahid, Saehu, Rama. which gave an unforgettable experience on
an expedition to tunda island located in Banten. 11 days we spent without
x
using electricity, organize with people who are different mind but have clear
goals. Will remember that day when first time and last time we meet guys.
15. Basis Bank Mini thanks for every moment you given to me guys, will never
forget every joke we have. Success for Basis Bank Mini.
16. Dapur Seni, who always give best experience for music organization that
loved so much. And author learn how to organizing with other people in
different perspective.
17. Senior and Junior of International Program 2008, 2009, 2011, and 2012 that
author have missed the moment when we were spent together and all the
memories ever undertaken when it became a class mate.
18. International Management 2013 and Regular Management 2013, will never
forget all the moment when spent together.
Finally, the author expect for any critics and suggestion that could improve
the content of this thesis, the author hopes to that the thought provoking
contributions can give benefit to the reader, hopefully this thesis could be
worthwhile for all of us. Amin
Wassalamualaikum Wr. Wb
Tangerang, 27 Juni 2019
Rendy Budi Kusuma
xi
LIST OF CONTAINS
COVER
THESIS VALIDATION SHEET ................................................................ i
CERTIFICATION OF THESIS EXAMINATION SHEET .................... ii
CERTIFICATION OF COMPREHENSIVE EXAM SHEET .............. iii
STATEMENT OF AUTHENTICITY SCHIENTIFIC WORK ............ iv
CURICULUM VITAE ................................................................................ v
ABSTRAC .................................................................................................... vi
ABSTRAK ................................................................................................. vii
FOREWORD ............................................................................................ viii
LIST OF CONTENT ................................................................................. xi
LIST OF TABLE ..................................................................................... xiv
LIST OF FIGURE ................................................................................... xvi
CHAPTER I INTRODUCTION
A. Background ....................................................................................... 1
B. Problem Formulation ...................................................................... 10
C. Purpose of Research ........................................................................ 11
D. Benevit of Research ........................................................................ 12
CHAPTER II LITERATURE REVIEW
A. Theorical Basis
1. Marketing ................................................................................... 13
a. Understanding of Marketing ............................................... 13
b. Definition of Marketing Management ................................. 13
2. Product Innovation ..................................................................... 14
a. Definition of Innovation ...................................................... 14
b. Types of Innovation ............................................................ 15
c. Measuring Innovation on Innovation Level ........................ 15
xii
d. Product innovativeness from customer’s perspective .......... 16
3. Autobiographical Memory ........................................................ 19
a. Definition of Autobiographical Memory ............................ 19
b. Autobiographical Memory Function ................................... 20
c. Dimensions of Autobiographical Memory .......................... 21
d. Dimensions to Measurement Autobiographical Memory ... 21
4. Purchase Intention
a. Understanding of Purchase Intention .................................. 23
b. The Consumer Decision Making Process ........................... 23
c. Indicator of Purchase Intention ........................................... 24
5. Customer Loyalty
a. Definition of Customer Loyalty .......................................... 26
b. Characteristic of Customer Loyalty .................................... 26
c. Measure Customer Loyalty ................................................. 27
d. Brand Loyalty Level ........................................................... 28
B. Previous Research ........................................................................... 29
C. Conceptual Framework ................................................................... 41
D. Hypothesis ....................................................................................... 43
CHAPTER III RESEARCH METHODOLOGY
A. Qualitative Research ....................................................................... 45
B. Scope of Research ........................................................................... 46
C. Determine of Sample Method ......................................................... 46
D. Data Collection Method .................................................................. 47
1. Primary Data ............................................................................. 48
2. Secondary Data ......................................................................... 49
E. Data Analysis Method ..................................................................... 49
1. Descriptive Analysis ................................................................. 49
2. Validity Test .............................................................................. 49
3. Reliability Test .......................................................................... 49
4. Path Analysis ............................................................................. 50
xiii
5. The Coefficient of Correlation .................................................. 52
6. Coefficient of Determination .................................................... 52
7. Simultanious Test (F Test) ........................................................ 53
8. Partial Test (T Test) .................................................................. 53
F. Operational Fariable ........................................................................ 54
CHAPTER IV RESULT AND ANALYSIS
A. General Overview of Research Project ........................................... 58
B. Analysis and Discusion ................................................................... 60
1. General Description and Respondent Data ............................... 60
2. Validity Test .............................................................................. 63
3. Reliability Test .......................................................................... 66
C. Descriptive Analysis ....................................................................... 68
1. Product Innovation .................................................................... 68
2. Autobiographical Memory ........................................................ 74
3. Purchase Intention ..................................................................... 79
4. Customer Loyalty ...................................................................... 83
D. Analysis Result ............................................................................... 88
1. Analysis Structural I .................................................................. 88
2. Analysis Structural II ................................................................ 93
3. Correlation Analysis .................................................................. 99
4. Influence Calculation .............................................................. 104
CHAPTER V CONCLUSION AND SUGGESTION
A. Conclusions ................................................................................... 106
B. Suggestion ..................................................................................... 107
REFERENCES ........................................................................................ 109
ATTACHMENT ...................................................................................... 112
xiv
LIST OF TABLE
NUMBER DESCRIPTION
Table 1.1 Top Brand Index of Sneakers School ................................ 8
Table 1.2 Top Brand Index of Casual Sneakers Year ........................ 9
Table 2.1 Result of Structural Model Relationship on Journal 1 ... 30
Table 2.2 Data Analysis and Result on Journal 2 .......................... 33
Table 2.3 Data Analysis and Result on Journal 4 .......................... 36
Table 2.4 Data Analysis and Result on Journal 5 ........................... 38
Table 3.1 Likert Scale of Levels ..................................................... 48
Table 3.2 The Level of Coefficient Correlation .............................. 52
Table 3.3 Operational Variable ....................................................... 55
Table 4.1 Responden Gender .......................................................... 60
Table 4.2 Responden Age ............................................................... 61
Table 4.3 Responden Occupation ................................................... 62
Table 4.4 Respondent Income per month ....................................... 62
Table 4.5 Validity Test : Product Innovation (X1) ......................... 64
Table 4.6 Validity Test : Autobiographical Memory (X2) ............. 64
Table 4.7 Validity Test : Purchase Intention (Y1) .......................... 65
Table 4.8 Validity Test : Customer Loyalty (Y2) ........................... 65
Table 4.9 Realibility Test of Product Innovation (X1) ................... 66
Table 4.10 Realibility Tesy of Autobiographical Memory (X2) ...... 67
Table 4.11 Reliability Test of Purchase Intention (Y1) .................... 67
Table 4.12 Reliability Test of Customer Loyalty ............................. 68
Table 4.13 Question X1.1 ................................................................. 69
Table 4.14 Question X1.2 ................................................................. 69
Table 4.15 Question X1.3 ................................................................. 70
Table 4.16 Questionere X1.4 ............................................................ 71
Table 4.17 Questionere X1.5 ............................................................. 71
Table 4.18 Questionare X1.6 ............................................................ 72
xv
Table 4.19 Questionare X1.7 ............................................................ 73
Table 4.20 Questionare X1.8 ............................................................ 73
Table 4.21 Questionare X2.1 ............................................................ 74
Table 4.22 Questionare X2.2 ............................................................ 75
Table 4.23 Questionare X2.3 ............................................................ 75
Table 4.24 Questionare X2.4 ............................................................ 76
Table 4.25 Questionare X2.5 ............................................................ 77
Table 4.26 Questionare X2.6 ............................................................ 77
Table 4.27 Questionare X2.7 ............................................................ 78
Table 4.28 Questionare X2.8 ............................................................ 79
Table 4.29 Questionare Y1.1 ............................................................ 80
Table 4.30 Questionare Y1.2 ............................................................ 80
Table 4.31 Questionare Y1.3 ............................................................ 81
Table 4.32 Questionare Y1.4 ............................................................ 82
Table 4.33 Questionare Y1.5 ............................................................ 82
Table 4.34 Questionare Y2.1 ............................................................ 83
Table 4.35 Questionare Y2.2 ............................................................ 84
Table 4.36 Questionare Y2.3 ............................................................ 84
Table 4.37 Questionare Y2.4 ............................................................ 85
Table 4.38 Questionare Y2.5 ............................................................ 86
Table 4.39 Questionare Y2.6 ............................................................ 86
Table 4.40 Questionare Y2.7 ............................................................ 87
Table 4.41 Questionare Y2.8 ............................................................ 88
Table 4.42 Analysis Structural I : Model Summary ......................... 89
Table 4.43 Analysis Structural I : ANOVA ...................................... 90
Table 4.44 Analysis Structural I : Coefficients ................................. 91
Table 4.45 Analysis Structural II : Model Summary ........................ 94
Table 4.46 Analysis Structural II : ANOVA .................................... 95
Table 4.47 Analysis Structural II : Coefficients ............................... 96
Table 4.48 Correlation ...................................................................... 99
xvi
LIST OF FIGURE
NUMBER DESCRIPTION
Figure 2.1 Influences on Consumer Decision Making ..................... 24
Figure 2.2 Conceptual Framework on Journal 1 ............................. 30
Figure 2.3 Conceptual Framework on Journal 3 ............................. 35
Figure 2.4 Conteptual Framework on Journal 4 .............................. 36
Figure 2.5 Conteptual Framework on Journal 5 .............................. 38
Figure 2.6 Conteptual Framework on Journal 6 .............................. 40
Figure 2.7 Conceptual Framework on Thesis .................................. 42
Figure 3.1 Path Analysis .................................................................. 51
Figure 4.1 Path Analysis model ..................................................... 104
1
CHAPTER I
INTRODUCTION
A. Background
In the era of globalization as it is now the competition between companies
happens so tight. As the current sneakers business industry develops, there are
increasing competition, where manufacturers compete to create a product that can
be attractive, desirable and acceptable to consumers. In understanding consumer
behavior, there are many influences that underlie a person in taking a purchase
decision of a product or specific brands. In most people, consumer buying
behavior is often initiated and influenced by many stimuli from outside
themselves, both in the form of marketing stimuli from other environments. Then
the stimuli processed in a person according to their personal characteristics, before
the purchase decision is finally taken. The personal characteristics of consumers
used to process the stimuli are very complex, and one of them is the consumer's
motivation to buy.
One of customers motivation in buying decision is innovation. The
innovation of a product makes the needs of consumers feel fulfilled, as well as
innovation of technology that if not followed then the consumer will feel
aggrieved with low gadged specs. But there are unique things that researchers
want to research in this study, is whether innovation in the fashion world is able to
influence consumers to buy products ? As we know that in the fashion world from
year to year has not progressed or even just turning around, And the style of
converse sneakers is do not develop by the years.
The second reason consumers to buy Converse is autobiographical
memory. there is something unique in autobiographical memory, that is, a
consumer will usually be interested in purchasing a product if they have previous
experience, whether the experience is the experience of others and the experience
2
of himself. The experience that arises in the childhood that later encountered again
when adults make consumers more trust the product.
In Indonesia there is a very favorable policy for certain companies, one of
which is the policy where elementary or high school students are required to use
black shoes. with the need for fashion by students is very high, then Converse be
alternative solution for black shoes with a design is not too formal. From here
arose the experience of Converse Sneakers that started from elementary school,
from elementary school that arise experience again and finally make repurchase of
Converse Sneakers to High School. From the re-purchase results will arise
customer loyalty that will become a positive value to the brand image.
Which we analyzed from the case is, if there is an innovation to Converse
Sneakers and the person has experience on converse is a superior product, whether
they will buy Converse ? or even innovation of these products will drop buy
interest because consumers are familiar with old products ?. The next solution
may be this innovation is created in a particular product and not replace the old
design.
According to Leon G Schiffman and Leslie Lazar Kanuk (2007: 83 – 84)
states that motivation as a force of encouragement from within the individual self
which forces consumers to take action. If someone has high motivation towards a
particular object, then the consumer will be encouraged to behave in control of the
product. Conversely, if motivation is low, then the consumer will try to avoid the
object in question. The implications for marketers are for the likelihood that the
person is interested or not to buy products that marketers offer. Adult company It
thinks about their business and marketing strategies with more creative and
innovative. It is important for the company to realize that they are moving in a
rapidly changing competition, technological progress, legal regulation and trade
policy and change of customer loyalty. This condition inevitably keeps the
company going continuously innovating products that satisfy consumers to be able
to achieve organizational goals.
3
For an industry with a very rapid growth, capture as much as possible the
existing market opportunity is the greatest desire for each the existing company.
Competition in creating and retaining customers will lead to intense competition
on those companies are in the same industry. With the intense competition
between the companies then what happens is will make the market is filled with
products with a number of very many and mutually compete against one another.
Each company will do its respective each way to win the competition in a market.
Create a new product or innovate on an existing product is one way that
companies do to exist in one a fast-growing market.
According to Donald A. Norman, Roberto Verganti (2014: 82) Innovation
must be an ever-present process and sustainable. In general, researchers divide
innovation into two types, namely Incremental Innovation and Radical
Innovation. Incremental innovation is generally understood as form exploitation
of pre-existing forms or technologies. Innovation this improves the things that
have been there before to serve some new goals. While radical innovation in
contrast is a thing which is completely new to the world. Radical innovation is a
form of discovery of goods, processes and ideas that have never existed at all
previous. This type of innovation is also often discontinuous innovation in another
innovation concept. Innovation is a natural part of the marketing mix and is there
for run. Of course, the term innovation has different interpretations.
The major difference between the two is whether the innovation is
perceived as a continuous modification of previously accepted practices or
whether it is new, unique, and discontinuous. Dahlin and Behrens suggest three
criteria for identifying an innovation as radical:
• Criterion 1: The invention must be novel: It needs to be dissimilar from prior
inventions.
• Criterion 2: The invention must be unique: It needs to be dissimilar from current
inventions.
4
• Criterion 3: The invention must be adopted: It needs to influence the content of
future inventions.
Solomon & Stuart (2015: 254) argue that in context marketing, innovation
is not limited to the creation of a completely new product first time in the world
but also included in it is every product newly introduced by the company. Further
Solomon and Stuart divide innovation into three types: (1) Continuous
innovations refers to modifications to existing products, this is a kind of
innovation most often done by the company. This type of innovation is more
evolutionary rather than revolutionary for merely bringing about change- minor
changes to the importance of product positioning, line or expansion avoid
customer boredom. (2) Dynamically continuous innovations refers to innovations
that can lead to changes in behavior as well a person's way of doing things and (3)
Dicontinuous innovations refers to the first major discoveries and opening up a
whole new market and changing the way people live.
As described before that an innovation often used as a way to deal with a
market that is increasingly selective in the increasingly high competition day. Not
only until there, further innovation is often used to improve consumer buying
interest on products offered by a company. A product is said to be successful in a
business when it is a product it arises and is accepted, it can not be separated from
a power product innovation. The innovation of a product gives an opportunity to
the company to continue creating a new product with its quality better than
previous products that already exist. An innovation on company by creating a new
product different and more quality, then the company has run a good process to
get the consumer's attention until finally buying the product with the new
innovation.
Product innovation is not the only factor that can affect consumer buying
interest. Theoretically can be explained that the buying decision-making process is
preceded by marketing stimuli and other stimuli that can affect a consumer's
buying interest. This matter can be seen from the results of research conducted by
5
Ujianto Abdurachman (2004: 101) indicating that the factors considered by
consumers to buy sarongs are quality, reference, brand and color as well as
packaging, price, discount and reward. Of the overall factors are quality and
reference is the most dominant factor. Associated with product innovation, quality
may be attributed to an innovation. Not a few research results also show that
policy associated with the product can increase the market share of a company.
For example Robinson and Fornell's study in Ferdinand (2000: 129) concluded
that the expansion of the product line is one of the strategies worked out for
increase the company's market share. They found that elasticity product line
policy is very significant to determine the success or failure the company
maintains and increases its market share.
Varadarajan in the Ferdinand (2000: 129) in his study of product diversity
and performance companies find that product differentiation and diversification
are recognized and seriously adopted by most companies as a base marketing
strategy to produce good market performance. Cause on Basically a satisfied
consumer over a product is likely to perform purchase of products from the same
company. Companies that want consumers to buy their products must really pay
attention to what innovation they will spend on potential buyers who will be their
target market. Besides consumers actually also pay attention to various
information about the company or corporation and how his experience on the use
of that product resulting. When consumers have a good experience over use of
various brands of products produced by a company, then the consumer will give a
positive image of the product and company the. That there is good or positive
information about the product and the company can be expected to add customer
trust to the company. In addition, it is expected that the willingness of customers
to buy other new products offered by the company to them.
Nemati et.Al (2010: 83) suggests that innovation is summarized in
business creation, development and implementation of products, processes and
new services with a view to improving efficiency, effectiveness and competitive
advantage. Every customer wants maximization of value and in this case
6
innovation can play a role so as to increase interest buy consumers. When new
products are launched, new features are in the product it must be able to
distinguish the product with other products. This difference will please the
pelaggan. It shows how innovation can play a role in creating buying interest for
consumers. Departing from previous theories that have been there and research-
research that has been done before, many companies are consider it important to
innovate on the product in order creating consumer buying interest.
In addition to providing good innovation, marketers also need to evokes a
positive autobiographical memory formed on the consumer. According to Braun,
Ellis, and Loftus (2002: 3) autobiography memory as the memory of the previous
experience to be stored as long-term memory. The formation of autobiography a
positive memory of the brand will have an impact on the brand image. With a
strong brand image will certainly generate profits alone for the company within
the company's goals. Without a strong and positive brand image, it is difficult for
a company to attract new customers and retain existing ones. According to Kotler
(2007: 346) brand image is the perception and conviction done by consumers, as
reflected in the processes that exist in memory consumer. Brand image is one of
the important sources in creating brand loyalty.
According to Durianto, Sugiarto, and Budiman (2004: 126), brand loyalty
is a measure of customer interconnection to a brand. Brand loyalty is a condition
where consumers have an attitude which are positive to the brand, have a
commitment to the brand, and have a tendency to forward their purchase in the
future come. This can give big rewards for the company especially if this loyalty
is long-term and cumulative. Increasingly Longer a customer's loyalty, the greater
the profit earned the company of the customer.
In this research, the object studied is Converse All Star Sneakers. Where
sneakers have become a product used by everyone to meet the needs and support
activities and daily activities. Along with the development of the era and
technology, the usability of shoes more diverse and tailored to the needs of the
7
wearer, besides that along with the development of lifestyle, now the shoes
become one of the products that show the lifestyle and personality of its users.
The function of sneakers as one of the personality has lasted long in
America, since the advent of Converse branded sneakers. In Indonesia Converse
are commonly used by students and students. Based on information from Frontier
Consulting Group's organization, Converse won the Top Brand Awards award in
the Top Brand for Teen Award category. The TopBrand Awards awards are the
result of a survey from May 2013 to June 2013 simultaneously held in eight major
cities in Indonesia: Jakarta, Bandung, Semarang, Surabaya, Medan, Makassar,
Pekanbaru and Balikpapan. The survey was conducted to measure three
parameters: Top of Mind awareness on a product, Last used or last use of a
product, and Future Intention or interest to use or consume a product in the future.
The Top Brand Index (TBI) survey result that is a reference of a product
can be awarded Top Brand Awards, if the product has a minimum value of 10%
TBI, and the value is in the top third position in the selected product category by
respondents. After see the first data, we already knows about the segmentation of
the Converse is Succesfully reach the target, because the target of their brand is
Teenagers / adults.
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Table 1.1 Top Brand Index of Sneakers School Year 2011 – 2017
BRAND
YEARS
2011 2012 2013 2014 2015 2016 2017
In Percent ( % )
Converse 17.7 15.1 16.7 14.6 35.2 31.6 34.6
New balance 10.5 15.1 - - - - -
Adidas 7.1 8.8 4.8 6.6 4.1 - 6.5
Nike 6.4 6.1 4.1 7.0 6.0 9.0 6.4
Bata 6.1 4.5 11.3 5.2 4.1 7.0 4.9
Tomkins 2.8 4.6 3.4 5.0 3.8 - 6.0
Reebok - 3.2 3.9 3.9 - - -
Vans - - - - - 5.9 -
Source : https://www.topbrand-award.com/top-brand-index/?tbi_find=converse
The table above shows that the Converse brand is at the highest percentage
point in the past three consecutive years, indicating that Converse brand has
become the Top of Mind brand of footwear for school supplies, and the last
products used by respondents are Converse, and the respondents are interested in
using Converse shoes in the future. Converse Sneakers became product preference
selected among the choice of existing brands by consumers, based on the table
shows that there is an interest in buying Converse brand shoes in eight major
cities in Indonesia with the target of juvenile consumers.
Based on the results of structured interviews conducted to Supervisior
Store Converse currently in Paris Van Java Mall Bandung in previous research by
a researcher, obtained information from the target market of Converse are men
and women aged 15 to 24 years, have jobs as high school students (SMA) , Junior
High School students and students who will spend Rp.399.000 to Rp.550.000 to
buy shoes.
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According to resource persons wearing Converse provide a personal
picture of the wearer as a student or student and give self esteem when compared
with other brand shoes with similar models such as other brand shoes, besides
Converse sneakers have a good durability and comfortable for use by students or
students in support daily activities. The interviewer also explained that in junior
high school students, high school and university students found the intention to
buy Converse shoes again and the intention to recommend Converse shoes to
others.
Table 1.2 Top Brand Index of Casual Sneakers Year 2013 – 2017
BRAND
YEARS
2013 2014 2015 2016 2017
In Percent ( % )
Bata 21.7 25.3 27.1 19.2 19.3
Converse 9.4 17.3 17.0 6.4 6.3
Nike 13.8 17.9 18.1 12.4 12.2
Adidas 10.9 4.9 5.4 11.5 11.2
Fladeo - - - 6.1 6.5
Yongki Komaladi - - - 4.9 4.7
Kasogi 3.9 5.8 5.3 - -
Puma 4.0 4.2 - - -
Source : https://www.topbrand-award.com/top-brand-index/?tbi_find=converse
If seen from the second data, there is a difference with the first data. Bata
consumers are superior compare converse, perhaps it is caused by segmentation of
research results is parents until teenagers. As we know that in the era of baby
bloomers, Bata products are very popular in the era, while converse is something
newly known by the teenagers Indonesia in 90s.
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loyalist of casual shoes, more dominated by Bata Sneakers because in the
era of baby bloomers are more often in use, so parents have experience on Bata
products and making repurchase because ther already loyal to Bata . The parents
also took a role in the purchase decision of his children's shoes in school, and that
parents will choose Bata because they loyal to product and have good experience.
As time goes by, young people tend to be critics and have their own
decisions. The influence of alternative rock culture brought by Nirvana bands is
able to influence teenagers minds that Converse is something cool and not as
ancient as Bata. The trend will be switch and replace the Bata market from
Indonesia by Converse with their potential buyer formed in the 90s.
Therefore, the authors are interested to conduct research by analyzing how
consumer behavior on Converse All Star shoe products. The author took the title
of "THE INFLUENCE OF PRODUCT INOVATION AND
AUTOBIOGHRAPHICAL MEMORY TOWARD PURCHASE INTENTION
THAT IMPACT ON CONVERSE SNEAKERS CUSTOMER LOYALTY"
B. Problem Formulation
Based on the background describe above, so the formulation of the problem that
will be explained in this research are :
1. Does Product Innovation have influence Purchase Intention partially?
2. Does Autobioghraphical Memory influence Purchase Intention
partially?
3. Do Product Innovation and Autobioghraphical Memory have influence
Purchase Intention simultaneously?
4. Does Product Innovation have influence Customer Loyalty partially?
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5. Does Autobioghraphical Memory have influence Customer Loyalty
partially?
6. Does Purchase Intention have influence Customer Loyalty partially?
7. Do Product Innovation, Autobiographical Memory, and Purchase
Intention influence Customer Loyalty simultaneously?
C. Purpose of Research
Based on the question above, The purpose of this research are :
1. To analize the influence of Product Innovation on Purchase Intention
partially
2. To analize the influence of Autobioghraphical Memory on Purchase
Intention partially
3. To analize the influence of Product Innovation and Autobioghraphical
Memory on Purchase Intention simultaneously
4. To analize the influence of Product Innovation on Customer Loyalty
partially
5. To analize the influence of Autobioghraphical Memory on Customer
Loyalty partially
6. To analize the influence of Purchase Intention on Customer Loyalty
partially
7. To analize the influence of Product Innovation, Autobiographical
Memory, and Purchase Intention on Customer Loyalty simultaneously
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D. Benevit of Research
Given this research, the researcher hope that the results of this research has
benefits for all parties, while the benefits include :
1. For Author
To get more knowledge and experience in conducting research, train the ability
that have been learned in lecture or class into scientific forms and compare
between the theory obtained by the fact that happen in the field.
2. For Company
Thorough this research, Nestle corporation will see the dominant factors among
Product Innovation, Autobiographical Memory, Purchase Intention and Customer
Loyalty. Therefore, based on these factors can help the cooperative to develop
become better and repair the performance.
3. For Readers
The readers may use this research as the material for comparing the factors that
influence among Product Innovation, Autobiographical Memory, Purchase
Intention and Customer Loyalty. So, the information can be used in future
research and development.
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CHAPTER II
LITERATURE REVIEW
A. Theoritical Basis
1. Marketing
a. Understanding of Marketing
Broadly marketing is defined as a social and managerial process by which
individuals and organizations obtain what they need and want through creating
and exchanging value with others (Armstrong and Kotler, 2009: 38).
Marketing is the process by which companies create value for customers
and build strong customer relationship in order to capture value from customers in
return (Armstrong and Kotler, 2009: 38).
The American Marketing Association defines marketing and marketing is
an organizational function and a set of processes for creating, communicating, and
delivering value to customers and for managing customer relationships in ways
that benefit the organization and its stakeholders (Kotler et al, 2009:5).
This definition of marketing also focused on exchange as a central concept
in marketing and the use of the basic marketing activities is to create and to
sustain relationship with customer (Belch, 2009: 8).
The twofold goal of marketing is to attract new customers by promising
superior value and to keep and grow current customers by delivering satisfaction
(Armstrong and Kotler, 2009: 37).
b. Definition of Marketing Management
Marketing management is divided from two words namely management
and marketing. Basically management consists of design and implementation
plan. In making some plan, need the ability to create strategy and plan. Plan is
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needed for distribute the ideas that have been designed in order to get benefit from
sales result
In this case, definition of marketing management also have different
explanation from several expert, but all of them have a similar understanding
between each other. Here are some definition of marketing management that
author quotes from several expert :
According to Peter and Donnelly (2009:15) marketing management is the
process of planning and executing the conception, pricing, promotion, and
distribution of goods, services, and ideas to create exchanges with target groups
that satisfy customer and organizational objectives.
According to Kotler and Keller (2009: 5) marketing management is the art
and science of choosing target markets and getting, keeping, and growing
customer through creating, delivering, and communicating superior customer
value.
From the definition above marketing management that have been
explained by the expert, author can make a conclusion that marketing
management is a concept or art were designed to attract buyers for buy a product
or service.
2. Product Innovation
a. Definition of Innovation
”New Products or innovations, constantly enter the market. In marketing,
the innovation is a product (a good, service or idea) that is perceive to be new and
different from existing products” (Solomon, Marshal & Stuart, 2015: 253).
That definition is fine from a legal perspective. From a marketing
standpoint, though, a new product or an innovation is anything that customers
perceive as new and different. Innovation has its roots in an even more elemental
concept that is a hot topic in boardrooms of most organization today creativity
(Solomon, Marshal & Stuart, 2015: 253).
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b. Types of Innovation
Innovation is a new thing for prospective adopters this resulted in the
adopted innovation has the ability to change a bit of his adopter behavior. The
more innovative a innovation, the greater the behavioral changes it causes.
solomon, Marshal & Stuart (2015: 253 – 255) divides innovation based on
influence on change behavior into three types of innovation, namely :
1. Continuous Innovation
that refers to modifications to an existing product to differentiate a brand
with its competitors. One implementation of this innovation is expansion lines.
This innovation only affects a little of his adopter behavior.
2. Dynamically Continuous Innovation
which refers to most changes great on existing products. This innovation
has an intermediate effect to the way a person takes consumption of the product.
3. Discontinuous Innovation
which refers to a new product in a manner totals as well as creating major
changes in one's life. Innovation of this type is an innovation that influences a
person's behavior change greatly.
c. Measuring Innovation on Innovation level
Daneels & Kleinscmidt (2001: 14) in his research, measuring innovation
based on product innovation level (product innovativeness). The innovative
product is divided into two dimensions: product innovation from firm perspective
and product innovativeness from customer perspective.
1. Product innovativeness from firm's perspective
Is measured by sub dimensions in the research called familiarity, fit,
technology and marketing. Where innovation is done more viewed from the
perspective of the company to the new product. For example, when companies
want to develop or create a new product, then associated with product
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innovativeness from firm's perspective this company must be able to create a
product that suits their target market by looking at the aspects in accordance with
the standard that the company has, so that innovation created towards the new
product in accordance with the target market and positioning owned by the
company. In this perspective the company is more instrumental in determining the
factors in creating an innovation that will be done on their products.
Usually this perspective is used for products that have a category of
discontinuous innovation where the type of innovation that is done is a new
product in total and create major changes in one's life. Therefore, usually
innovation in this perspective is done by the company by involving people who
are experts on the products to be created. Thus an innovation created by the
company, largely determined and created from the internal perspective of the
company with an effort made to be able to create new innovations and will be
accepted by the target market they specify.
2. product innovativeness from customer's perspective
While product innovativeness from customer's perspective itself is
measured into three sub-dimensions (a). innovation attributes that refer to the
aspects that affect the sooner or later an innovation is adopted, such as relative
advantage, compatibility, complexity, triability and observability that are adapted
from the concept of Rogers innovation attributes. (b) adoption risk which refers to
the risks that are taken into consideration in the adoption of innovation. (c)
behavior change that refers to the large or not changing behavior of adopters
when adopting an innovation.
d. Product innovativeness from customer’s perspective
1. Innovation Atrributes
According to Solomon, Marshal, and Stuart (2015: 266), there are five
aspects to be considered for a person adopter candidates in adopting an innovation
called innovation Atrributes
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1. Relative Advantage :
which refers to the level where an innovation is perceived as better than the idea
being replaced. This level of relative advantage is often measured by economic
size, but social pride, convention and satisfaction as well are important factors in
measuring advantage relatively. In this case, the advantage of an innovation
objectively is not considered too important but the adopter's perception of
innovation is considered to have a more important advantage. The greater the
perception of the relative superiority of an innovation, the more high adoption rate
of the innovation.
2. Compability :
which refers to the levels of which innovation perceived to be consistent with
existing values, past experience and the needs of potential adopters. An idea that
does not relevant with the values and norms of the social system will not be
adopted as easily as innovation with a more appropriate idea.
3. Complexity :
which refers to the level at which innovation it is hard to understand and use.
Maybe there some innovations have been understood by members of the social
system, But there are also more complicated innovations that will be adopted
more slowly than innovations that require adopters to develop new skills and
understanding.
4. Triability :
which refers to the extent of innovation it is possible to try in limited quantities.
New ideas that can be tried in advance will generally be faster to adopt. An
innovation that is likely to be sought for the first time decreases the level of
uncertainty for adopters who are considering innovation. Where they can learn to
consume innovation while doing it (learn by doing).
5. Observability :
which refers to the extent to which the results of these innovations can be
observed by others.. The easier it is for a person to see the results of the
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innovation the easier it will be for them to adopt. This observation will spark a
discussion about innovation where friends or others who adopt innovations
Sometimes ask for evaluation and information about that innovation.
2. Adoption Pyramid
According to Solomon, Mrshal, and Stuart (2015: 262 – 263). Adoption
Pyramid reflect how a person goes from being unware of an innovation through
stages from the bottom up of awareness, interest, evaluation, trial, adoption, and
confirmation. Its step from being unware of an innovation to becoming loyal
adopters.
1. Awareness
Awareness that the innovation exist at all is the first step in adoption process. To
educate consumers about new product, marketers may conduct a massive
advertising campaign
2. Interest
For some of the people who become aware of a new product, a second stage in the
adoption process is interest. In this stage, a prospective adopter begins to see how
a new product might satisfy an existing or newly realized need
3. Evaluation
In the evaluation process, provide information to customers about how the product
can benefit them
4. Trial
Trial is the stage in the adoption process when potential buyers will actually
experience or use the product for the first time
5. Adoption
In the adoption stage, a prospect actually buys the product. Marketers need to
provide follow up contacts and communications with adopters to ensure they are
satisfied and remain loyal to the new product over time.
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6. Confirmation
After adopting an innovation, a customer weight expected versus actual benefits
and cost. Favorable experiences make it more likely that the customer will
become loyal adopter as his of her initially positive option result in confirmation
3. Autobiographical Memory
a. Definition of Autobiographical Memory
Autobiographical memory according to Braun ET.AL, (2002: 3) is defined
as the memory of previous experiences that will be stored as long-term memory.
The existence of this memory will make the consumer less focused on product
information based on rationalization but focusing more on feelings or emotions
based on past memory that can be remembered. A similar definition is expressed
by Friedman (2007) in Haryanto (2008: 75) which defines autobiographical
memory as memory for events and issues related to one's self and includes
memory for specific experiences and for individual facts in one's life. Rubin
(2006) in Haryanto (2008: 381) explains that autobiographical memory occurs
when a particular event is recalled by covering a particular image.
Characteristics of autobiographical memory is the collection of common
events and interpretations of events and sometimes the specific details of a
particular event that will be remembered in the long run. Consumer memory of a
brand or brand experience when he / she is a child will have great consequences in
his subsequent decision on the emotional attachment that has been built before.
In this case, autobiographical memory is perceived as a trusted recording
with powerful visualizations that will create original experiences (Kasali and
Haryanto, 2009: 74). Autobiographical memory is a memory a person has about
his or her past. The focus of an autobiographical memory is someone - you, your
partner, or anyone else. You are an expert on your own autobiographical memory,
because no one else knows your life as well as you. Autobiographical memory can
20
also tell us things about the personality and self-concept of the person (Solso,
Maclin, and Maclin, 2008: 191). According to Solso et al (2008: 206), the
autobiographical memory contains information about emotions, self-description,
special events, and the life history of a person.
b. Autobiographical Memory Function
According to Pillemer (1992, 1998) in (Riegler and Riegler, 2009: 328-
329) autobiographical memory has three important functions, including:
1. Communication function
Autobiographical memory serves the communication function. An
important part of our conversation with others involves talking their personal
stories that are relevant to the topic being discussed. Specific autobiographical
memory is very powerful in this case. Connecting details of events experienced
personally makes our communication seem more honest and trustworthy and
tends to make them more persuasive. Connecting detailed autobiographical
memory also allows us to connect emotionally with others intimately and directly.
For example, a friend of yours said that his parents had divorced when he
was 4 years old, he struggled and overcame cancer when he was 10 years old, and
he was suspended in high school for underage drinks. Finally, telling more
detailed and personal memories can create a greater sense of intimacy and a
stronger relationship with your friends. You may also wring aempati against your
friends.
2. Emotional function
Autobiographical memory also has an important emotional function in helping
us organize, reflect, and think about important life events.
3. Directive function
Keeping in mind the events experienced personally and in detail can help
direct behavior in the future. Example, you experienced a failure in the past. Then
with you recalling such an event can serve to change your behavior in the future.
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c. Dimensions of Autobiographic Memory
According to Ling and Catling (2012: 80), autobiographical memory has
four dimensions, including:
1. Biographical and personal facts
This includes the place and date of birth, the names of family members, and the
school school that followed. This includes information that can not be properly
remembered (such as being born in a particular hospital).
2. Copies or reconstructions of original events
Autobiographical memories can be direct copies of real events, which are very
real and include sensory and emotional information, the reconstruction of an event
that is reinterpreted from a newer perspective of information. Longer memory is
more likely to be reconstructed than newer memory.
3. Specific or generic memories.
A generic autobiographical memory is a memory of recurring events that are
not fixed on a specific case, such as the memory of walking to school. This
contrasts with the specific memory associated with new events, which can form
flash memory.
4. Perspective of observation or field perspective.
Autobiographical memory can be seen from different perspectives. The
observer's perspective is where the memory is depicted from the perspective of
others. The field perspective is where memory is viewed from the point of view of
the individual who has the memory.
d. Dimension to measurement Autobiographical Memory
According Haryanto (2008: 80), Dimensions are used to measure
autobiographical memory, including: unforgettable experience, retrieval
(retirement), and emotional memory.
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1. Unforgettable experience
Experience is defined as something that has been experienced (lived, felt,
borne) (KBBI, 2005). Rubin (2006) in Haryanto (2008: 80) Unforgettable
experience is the capture of an object, thought, or emotion through feeling or mind
that can not be forgotten. According to Rubin (2006) in Haryanto (2008: 80),
unforgettable experience is a dimension which can be used to measure
autobiographical memory because the memory is formed because of the
experience and unforgettable memorable that is very memorable for the
individual.
2. Retrieval
Retrieval (calling) in everyday language, remembering again, is to use the
stored information (Mussen and Rosenzweig, 1973 in Maulana and Gumelar
2013: 53). According to Friedman (2007) in Haryanto (2008: 80), retrieval is the
ability to remember information or experience.
3. Emotional Memory
Memory is a stimulus that has been given meaning, recorded, and then stored
in the human brain (Syam, 2011: 4). According to Schlessinger and Groves (1976)
in Sham (2011: 4), memory is a highly structured system, recording facts about
the world and using his knowledge to guide his behavior. According to Mc Neal
(2003) in Haryanto (2008: 80), emotional memory is a memory or preference
against an object or event from the first which gives rise to certain pleasures.
Dimensions used for measuring autobiographical memory variables using
dimensions used by Haryanto (2008: 80), namely:
1. Unforgettable experience
2. Retrieval
3. Emotional Memory
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4. Purchase Intention
a. Understanding of Purchase Intention
Kotler, Bowen, and Makens (2008: 156) regarding purchase intentions:
purchase intentions arise after an evaluation of alternative process and in the
evaluation process, someone will make a series of choices regarding the product
to be purchased.
Solomon, Marshal, and Stuart (2015: 189), Purchase intention, is a
consumer’s stated willingness to boy or expressed likelihood of certain behavior.
b. The Consumer Decision Making Process
Solomon, Marshal, and Stuart (2015: 176), Consumer behavior is the process
involved when individuals or groups select, purchase, use, and dispose of goods,
services, ideas, or experiences to satisfy their needs and desires. The consumer
decision making process involves a series of steps :
1. Step 1: Problem Recognition
The process that occurs whenever the consumer sees a significant difference
between his current state of affairs and same desired or ideal state, this recognition
initiates the decision making process
2. Step 2: Information Search
The process whereby a consumer searches for appropriate information to make a
reasonable decision.
3. Step 3: Evaluation of Alternatives
The dimensions consumers use to compare competiting product alternative
4. Step 4: Product Choise
The condition when consumers know the information about the product and
evaluate between one product and other product. In this stage, consumers compare
and chose the best product
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5. Step 5: Postpurchase Evaluation
In the last step of the decision making process, the consumer evaluates jus how
good a choise he or she made. Everyone has experienced regret after making a
purchase. The evaluation of the product results in a level of consumer satisfaction/
dissatisfaction.
According to Solomon, Marshal, and Stuart (2015: 182), there are internal,
external, and social influences that affect to Consumer decision making process :
Figure 2.1 : Influences on Consumer Decision Making
c. Indicators of Purchase Intention
Schiffman, LG. & Kanuk L.L, (2007: 470 - 471) defines buying interest is a
behavior that appears in response to an object, or is also a buying interest that
indicates a customer's desire to make a purchase. Indicators of Purchase Intention
are explained by components from Schiffman and Kanuk. These components are
as follows :
Internal Influences :
1. Perception
2. Motivation
3. Learning
4. Attitudes
5. Personality
6. Age groups
7. Lifestyle
Decision
Process
External Influences :
Situational Influences:
1. Physical Environment
2. Time
Social Influence :
1. Culture
2. Subculture
3. Social Class
4. Group Membership
5. Opinion Leaders
6. Gender Roles
25
1. Interested to find information about the product
Given the interest that arises from the prospective consumer will usually
cause potential customers to finally find out more in information about the
products they will consume. With more information received and more posotif
information perceived by potential customers for themselves, the higher interest in
buying consumers of products offered. The information is closely related to how
much consumers buy back interest.
2. Consider to buying
In the process of purchasing a consumer will be faced with various types of
products on the market. Of the various types of products offered will be pursed
into a product that will be decided to be purchased by a consumer. After knowing
the various types of information they get, then consumers are faced with the
consideration to buy a product.
3. Interested to try.
The stage where a consumer is willing to try a new product in the market by
taking into account the advantages and risks posed by the new product. The
advantages that exist in a product offered usually will be an important factor that
can affect consumers to be interested in trying to a new product offered.
4. Want to know the product.
With the existence of a new product that emerged, whether it can affect
consumers to find out more about a product in more detail and depth both the
information about the product and the advantages and disadvantages of the
product.
5. Want to buy the product.
There is a new product, whether the prospective customer is willing to finally
obtain the goods or services by buying products offered by the company.
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5. Customer Loyalty
a. Definition of Customer Loyalty
Customer loyalty is the purpose form organization or company to have a
strong relationship with members, that thing can involve the trust between
company and customer, because the customer has been loyal to its product and
they will not move to other product or brand, at the end the company can get more
revenue.
According to Manish (2001) customer loyalty is winning the confidence of
the customer in favor of an organization such that the relationship becomes a win
and win solution for both the organization as well as the customer. Customer
loyalty is not only the customer incorporated to company. Customer loyalty is
something more of what an enterprise must get from the customer. Different with
the purpose, the customer is not only build loyalty to company, but the company
has to maintain its loyalty to the customer.
According to Lovelock and Wright (2005:133) loyalty is customer
decision to voluntarily always became a member with a particular company in
long term periods.
From the definition above customer loyalty that have been explained by
expert, the author can make conclusion that customer loyalty is some relationship
between company and customer to create trustiness, because the customer feel
satisfied with its product.
b. Characteristic of Customer Loyalty
Customers who are loyal is an important asset for the company, it can be
seen from their characteristics, according to Griffin (2010:130) the characteristic
of customer loyalty such as :
1) Recommending the products or services to other.
2) Buy the product line or services.
27
3) Shows the immunity from attraction similar product of competitors.
4) Making a purchase regularly
c. Measure Customer Loyalty
In order to be a loyal customer, customer has to pass several steps.
According to Lovelock and Wirtz (2004:352) there are four steps to measure
customer loyalty. The steps are as follows :
1. Cognitive Loyalty
The first step in loyalty, the available information about product or service
is become determine factor. Consumers become loyal in a cognitive sense, it can
be perceiving from brand attribute information that one brand is better than other
and the product has a good quality (Tjokroaminoto and Kunto, 2014). This means,
information held by a consumer confidence must point to a brand is considered to
be superior over the competition.
2. Affective Loyalty
In this step of loyalty, the position has a strong influence, either in
behavior or the component that have influence to satisfaction. This condition is
difficult to be eliminated, because the loyalty has been planted in customer mind
not as awareness or expectation. Affective loyalty indicates the preferences and
liking the brand/stores/services.
3. Conative Loyalty
This step has contain the high purchase intention such as keep buy some
product. The desire to do re-purchase or be a loyal are the action can be
anticipated but not realized.
4. Action Loyalty
Action or behavioral loyalty is the stage where behavioral intentions get
converted into actions. Behavioral loyalty has been considered as repeat purchases
frequency or proportion of purchase and possible to recommend.
28
d. Brand Loyalty Level
Aaker in Fajrianthi and Farrah (2005: 279) divides brand loyalty into five
levels, as follows:
1. Switcher
It is the lowest level of brand loyalty. The buyer is not loyal or at all interested
in any brand offered. Characteristic feature of this type of buyer is they buy a
product because the price is cheap.
2. Habitual Buyer
Are buyers who are satisfied with the brand of products they consume or at
least they do not experience dissatisfaction in consuming the product brand. This
buyer buys a brand based on brand habits so far.
3. Satisfied Buyer
At this level, brand buyers fall into the satisfied category when they consume
the brand. Nevertheless, they may move their purchases to other brands with bear
the switching costs associated with time, money, or performance risk inherent in
their actions to switch brands.
4. Liking The Brand
Buyers at this level are buyers who really love the brand. At this level are the
emotional feelings associated with the brand. However, it is often a feeling that is
difficult to identify and trace carefully to be categorized into something specific.
5. Committed Buyer
Buyers at this level are loyal customers. They have a pride as users of a brand
and even the brand becomes very important to them, in terms of functionality as
well as an expression of who they really are. At this level, one of the actualization
of consumer loyalty is demonstrated by the act of recommending and promoting
the brand to others.
29
B. Previous Research
1. “KIDS AS FUTURE MARKET: THE ROLE OF
AUTOBIOGRAPHICAL MEMORY IN BUILDING BRAND
LOYALTY”.
Research By : Sonny Kurniawan and Jony Oktavian Haryanto
Children are unique and potential market. Unique, because they do not
have money to spend but has enormous buying power. Potential, because of the
number of children and amount of expenditures, they constitute a promising
market (Yusuf, 2006). The above statement shows that children have an important
role for marketers. This is because children markets are consist of three markets
(McNeal and Fi, 2003). First, as prime market children have their own purchasing
powers; Second, as a market influencer children can influence their parents in the
purchase decision of a product; and Third, as the future market children are the
consumers when they grow up in the future. The purpose of this research is to
analyze about the relation between variables Autobiographical Memory and Brand
Loyalty, This research is intended to evaluate the level of fit between the data with
the model, the validity and reliability of measurement model and also coefficient
significance of the structural model. SEM shows the relationship between
constructs that have been hypothesized.
Result of this research shows that reference group, advertising, and
product attribute are the antecedent of autobiographical memory. The three factors
above also have an influence either directly or indirectly to the establishment of
brand image, buying habituation, and brand loyalty in children. Because of that
marketers.
30
Figure 2.2 : Conceptual Framework on Journal 1
H11
H3 H10
H4 H7
H2 H8
H1 H6 H9
H5
H12
RESULT OF STRUCTURAL MODEL RELATIONSHIP:
SEM analysis using AMOS 6.0 by means to analyze the value of the
regression shown in Table 3. The tests are performed by analyzing the value of
C.R (Critical ratio) and the value of P (Probability) on the result of regression
weights, compared with the statistical limitations that are required, that the value
of C.R (Critical ratio) ≥ 2.00, and the value of P (Probability) ≤ 0.05 (Ferdinand,
2002). If the results show the value that required, then the proposed research
hypothesis can be accepted.
Table 2.1. Result of Structural Model Relationship on Journal 1
Hypothesis Hypothesis Statement C.R and P
Value
Supported/
not
H1
The stronger the reference group, the
stronger kid’s autobiographical
memory toward brands.
C.R = 2.457
P = 0.014
Supported
Product
Attribute
Advertising
Reference
Groups
Autobiographical
Memory
Brand Image
Buying
Habituation
Brand Loyalty
31
H2
The better the advertising, the stronger
kid’s autobiographical memory toward
brands.
C.R = 4.706
P = 0.000
Supported
H3
The better the product attribute the
stronger kid’s autobiographical
memory toward brands.
C.R = 3.491
P = 0,000
Supported
H4
The stronger autobiographical
memory, the stronger kid’s brand
image toward brands.
C.R = 6.244
P = 0.000
Supported
H5
The stronger the reference group, the
stronger kid’s buying habituation
toward brands.
C.R = 3.008
P = 0,003
Supported
H6
The stronger autobiographical
memory, the stronger kid’s buying
habituation toward brands.
C.R = 2.187
P = 0.29
Supported
H7
The stronger brand image, the stronger
kid’s buying habituation toward
brands.
C.R = 0.560
P = 0.575
No
H8
The stronger autobiographical
memory, the stronger kid’s brand
loyalty toward brands.
C.R = 3.703
P = 0.000
Supported
H9
The stronger buying habituation, the
stronger kid’s brand loyalty toward
brands.
C.R = 3.147
P = 0.002
Supported
H10 The stronger brand image, the stronger
kid’s brand loyalty toward brands.
C.R = 2.384
P = 0.017 Supported
H11 The better the product attribute, the
stronger kid’s brand loyalty toward C.R = 0.763 No
32
brands. P =0.445
H12
The stronger the reference group, the
stronger kid’s brand loyalty toward
brands.
C.R = 3.558
P = 0.000
Supported
2. “A STUDY OF FACTORS AFFECTING ON CUSTOMERS
PURCHASE INTENTION”
Research By : Dr. Vahidreza Mirabi, Hamid Akbariyeh, Hamid Tahmasebifard
The main purpose of this study is to study the factors affecting on the
purchase intention of Bono brand tile. In this study, researchers examine the five
factors of brand name, product quality, price, packaging and advertising as
independent variables on customers’ purchase intention.
This study is considered a descriptive study on the base of data collection
method. Also, since the data are obtained through sampling of population to
examine its distribution parameters, it is a survey study. This research using
Multiple Linear Regresion method. The main data collection tool in this study is
questionnaire. This questionnaire includes 25 researcher-made questions that a
five-point Likert scale (from 1= "completely disagree" to 5= "completely agree")
is used.
33
DATA ANALYSIS AND RESULT
After examining measurement models and assessing their validity using
confirmatory factor analysis, we can study the relationships between variables.
Thus, multiple regressions are used to test the hypotheses.
Table 2.2. Data Analysis and Result on Journal 2
Model
Understandardized
Coefficients
Standardized
Coefficients t- Value Sig.
B Std. Error Beta
(Constant) 0.690 0.116 0.000
Packaging 0.037 0.047 .037 5.920 0.437
Brand Name 0.135 0.052 .138 .778 0.010
Price 0.076 0.041 .099 2.588 0.064
Advertising 0.173 0.049 .215 1.860 0.000
Quality 0.335 0.052 .370 3.514 0.000
H1: Brand Name has a significant impact on consumers’ Purchase Intention.
According to the statistical analysis, beta coefficient between two
variables is 0. 138. The significance coefficient between these two variables
(2.5888) shows that there is a significant and positive relationship between these
two variables.
H2: Product Quality has a significant impact on Consumers’ Purchase Intention.
According to the statistical analysis, beta coefficient between two
variables is 0. 370. The significance coefficient between these two variables
(6.414) shows that there is a significant and positive relationship between these
two variables.
34
H3: Product Packaging has a significant impact on Consumers’ Purchase
Intention.
According to the statistical analysis, beta coefficient between two variables is
0. 037. The significance coefficient between these two variables (6.778) shows
that there isn’t any significant relationship between these two variables.
H4: Product Price has a significant impact on Customers' Purchase Intention.
According to the statistical analysis, beta coefficient between two variables
is 0. 099. The significance coefficient between these two variables (1.860 in the
range of -1.96 to 1.96) shows that there isn’t any significant relationship between
these two variables.
H5: Product Advertising has a significant impact on the Purchase Intention of
Customers.
According to the statistical analysis, beta coefficient between two
variables is 0. 215. The significance coefficient between these two variables
(3.514) shows that there is a significant and positive relationship between these
two variables.
3. “PENGARUH INOVASI PRODUK DAN HARGA TERHADAP
MINAT BELI”
Research By : Bayu Hendrawan Suroso and Sri Setyo Iriyani
Product innovation is closely related to new products and stimulates
people to try this product. Most, innovators (innovating companies) are companies
whose customers have confidence in their products or companies. The most
important thing is to create a new product that can meet the needs and desires of
consumers so there is interest to buy the product, which is expected to be realized
through purchasing decisions (Setiadi, 2003: 398-399).
35
METHODOLOGY
This research uses quantitative description research. This study aims to
obtain evidence of causal relationships between independent variables
(independent variables) consisting of product innovation and price with dependent
variable (variable dependent) that is buying interest Mie Sedaap Cup in Kelurahan
Ketintang, Surabaya. The population in this study are consumers who have
consumed Mie Sedaap Cup packs and consumers who have never consumed
Sedaap Cup Noodles focused on East Ketintang PTT and Ketintang Wiyata with
the number of population taken from the number of private homes and boarding
places.
Figure 2.3 : Conceptual Framework on Journal 3
CONCLUSION
Based on the results of research that has been done shows that the
influence of product innovation and price on buying interest Mie Sedaap Cup in
Kelurahan Ketintang, Surabaya simultaneously equal to 0.659 or 65.9%. While
the rest is influenced by other variables outside the study. While for product
Innovation variables have an Influence on buying interest, while Price variables
have No Influence on buying interest Mie Sedaap Cup in Kelurahan Ketintang,
Surabaya.
H1 : There is influence of Product Innovation and Price to Purchase Intention of
Sedaap Cup Noodle in Kelurahan Ketintang, Surabaya. ( Influence )
H2 : There is influence of Product Innovation to Purchase Intention of Sedaap
Cup Noodle in Kelurahan Ketintang, Surabaya. ( Influence )
H3 : There is influence of Price to Purchase Intention of Sedaap Cup Noodle in
Kelurahan Ketintang, Surabaya. ( Not Influence )
Price
Product Quality
Product Quality
36
4. “PENGARUH INOVASI DAN KUALITAS PRODUK TERHADAP
MINAT BELI”
Research By : Dany Prasetyo and Saino
This research is purpose to analyze about the relation between Innovation
and Quality towards Purchase Intention of Lenovo Tablet.
Figure 2.4 : Conteptual Framework on Journal 4
POPULATION AND SAMPLE
The population in this study is 70 people. The population was obtained
from interviews with employees and SPG shops. characteristics in this study are
as follows:
a. ) Respondents have knowledge of the yoga of Lenovo tablets after visiting from
the smartlone store.
b. ) Respondents are men and women at least 17 years old who plan to purchase
smartphones in the future.
c. ) Respondents who have knowledge and understanding of tablets such as yoga
tablet.
CONCLUSION
Table 2.3. Data Analysis and Result on Journal 4
Model
Unstandardized
Coefficients
Standardized
Coefficients
B
Std.
Error Beta t Sig.
1
(Constant) 1.975 1.684 1.173 .245
X1 .890 .192 .461 4.629 .000
Product Innovation
Product Quality
Purchase Intention
37
(Innovation)
X2
(Product Quality ) .125 .041 .305 3.057 .003
From the table above can be obtained the regression equation as follows:
Y = 1,975 + 0,890 X1 + 0,125 X2
From the form of multiple linear regression equation above, it can be seen
that product innovation variables (X1) and product quality variables (X2) have a
positive influence on buying interest (Y).
1. Product innovation significantly influences interest in buying yoga tablet
lenovo at smartlone shop Plaza Marina Surabaya.
2. The quality of the product significantly influences the interest of buying yoga
tablets lenovo in smartlone shop Plaza Marina Surabaya.
3. Simultaneously, product innovation and product quality significantly
influence the interest of buying yoga tablet lenovo ditoko smartlone Plaza
Marina Surabaya.
5. “THE ROLE OF INTENTION TO CONSUME IN CREATING
AUTOBIOGRAPHICAL MEMORY”
Research by : Jony Oktavian Haryanto
Children are a unique and also potential market. They are unique because
they usually do not spend their own money but they may have high purchasing
power back-up. They are potential because from the number of kids and the
amount they spend, they are big and promising. Markets for kids consist of three
markets: (1) primary market that targets the children itself, (2) influence market
that emphasizes the influence that the children exert on family purchases, and (3)
future market that considers the future market for the children. This research is
porpose to analyze the relationship between intention to consume, impulsive
buying, influence power, and autobiographical memory
38
Figure 2.5 : Conteptual Framework on Journal 5
H2 H5
H4
H3
H1 H6
Table 2.4. Data Analysis and Result on Journal 5
Hyphotesis Hyphotesis Statement t-value Supported/Not
H1 The stronger the intention
to consume for kids, the
higher their possibility to
conduct an impulsive
buying
1.78 Supported
H2 The higher their intention
to consume, the stronger
kids influence parents to
conduct a purchasing
-1.69 Not Supported
H3 The higher kids’ desire to
conduct an impulsive
buying, the stronger they
will influence parents.
7.21 Supported
H4 The stronger the intention
to consume then the
stronger autobiographical
8.56 Supported
Influence Power
Intention to Consume
Impulsive
Buying
Autobiographical
Memory
39
memory which is
developed between the
kids and the product.
H5 The stronger the pester
power, the stronger the
autobiographical memory
which is developed
between the kids and
product.
1.37 Not Supported
H6 The more often an
impulsive buying to
specific products, the
stronger
autobiographical
memory.
0.79 Not Supported
6. Impact of innovation in FMCG products on customer loyalty and
satisfaction: A case study of Confectionary Producer “English Biscuit
Manufacturers” in Pakistan
Research by : Munir Hussain and Amna Munir
The purpose of this quantitative study is to discover the impact of
innovation on customer’s loyalty and satisfaction. Furthermore it is a brief review
of some relevant approaches which have been used for the measurement of
customer satisfaction. It also describes the number of factors which may consider
facilitating customers in Pakistan. The aims and objectives of this research are to
determine the impact of innovation on customer satisfaction, customer loyalty,
new features of product, customer retention, the factors affecting the innovation,
and comparison of existing old and new product in terms of innovation. This
quantitative research was conducted through the responses collected by Pakistani
40
buyers with the help of close ended questionnaire developed on Likert and
dichotomous scale.
Methodology
1. Purpose of Study: Descriptive study best describes the characteristics and
data relation between the cause and effect.
2. Data Collection method: The research framework utilized for this study
was quantitative that best suits with this type of research because we had
to conduct research through surveys by sample elements (working
employees) from diverse population (business industry).
3. Type of Investigation: suitable for this research was correlational that
provides best answer measuring variables and their relationship.
Figure 2.6 : Conteptual Framework on Journal 6
Independent Variable Dependent Variables
HYPOTHESES
4. H1: There is a relationship between the impact of innovation and customer
satisfaction. (Z Test : 10.106)
5. H2: There is a relationship between the impact of innovation and customer
loyalty. (Z Test : 26.482)
Innovation
Customer Satisfaction
Customer Loyalty
Customer Retention
41
6. H3: There is a positive relationship between quality enhancement and
innovation. (Z Test : 19.832)
7. H4: There is a relationship between pricing and the innovation. (Z Test :
6.747)
8. H5: There is a relationship between innovation and existing old and new
product perception. (Z Test : 7.708)
9. H6: Increase in the new features of a product does increase the customer’s
repurchase. (Z Test : 22.465)
10. H7: There is a relationship between innovation and customer retention for
the same product. (Z Test : 13.346)
CONCLUSION
Z-test shows that the test values of all hypotheses (H1, 10.106; H2, 26.482;
H3, 19.832, H4, 6.747, H5, 7.708; H6, 22.465, H7, 13.346) fall outside the non-
critical area (±1.959), moreover that value of sigma is zero in all hypotheses tested
that means all null hypotheses have been rejected.
This analysis demonstrates that Fast-Moving Consumer Good’s (FMCG)
innovation has direct relationship with customer satisfaction, customer loyalty,
quality enhancement, pricing, and customer’s perception about existing old and
new product, new features introduced in a product and customer retention.
C. Conceptual Framework
According to Sugiyono (2009:89) defines that the conceptual framework is
a synthesis about relationship between variables which compiled from a variety of
theories that have been described, next analyzed critically and systematically, so
that creating the synthesis about the relationship between variable that studied.
42
The model of this research shows that product consists of several sub
variables such as (product variety, quality, design, features, brand name,
packaging, size, services, and warranties) and the sub variables of product were
taken from (Kotler et al, 2009: 24). The sub variables of price consist of (list
price, discount, and allowance) and every variable was taken from (Kotler et al,
2009: 24). Promotion consists of several sub variables such as (advertising, public
relation, direct marketing, sales force, and sales promotion) and those were taken
from (Kotler et al, 2009: 24). Place consists of (channels, location, and inventory)
and the sub variables of place were also taken from Kotler et al (2009: 24).
In this conceptual framework, there are five variable exogenous such as
price, place, promotion, product and brand image. five variable endogenous such
as customer satisfaction and customer loyalty. The purpose of this research is to
analyze the influence of service quality and brand image toward consumer
satisfaction that impacts on customer loyalty on Bear Brand Milk. Here for the
picture of conceptual framework.
Figure 2.7 : Conceptual Framework on Thesis
ɛ1
ɛ2
ρX1Y2
ρX1Y1
R1X2 ρY1Y2
ρX2Y1
ρX2Y2
Product
Innovation
(X1)
Autobiographical
Memory
(X2)
(X2)
Purchase
Intention
(Y1)
Customer Loyalty
(Y2)
43
D. Hypothesis
Hypothesis is an unproven statement or proposition about factor or
phenomenon that is interest to the researcher. The hypothesis can also be stated as
a possible answer to the researcher question. A useful hypothesis is a predictable
statement that may include a prediction explanation. (Malhotra, 2009:78).
According to Sugiyono (2009:93) hypothesis is a temporary answer to the
research formulation problems. The author has generated seven hypotheses
associated with the model. These hypotheses focus on the relationship among
Product Innovation, Autobiographical Memory, Purchase Intention, and Customer
Loyalty. The seven hypotheses are as follows :
1. The Relationship of Product Innovation and Purchase Intention
H0 = Product Innovation doesn’t have influence on Purchase Intention
H1 = Product Innovation has influence on Purchase Intention
2. The Relationship of Autobiographical Memory and Customer Satisfaction
H0 = Autobiographical Memory doesn’t have influence on Customer Satisfaction
H1 = Autobiographical Memory has influence Customer Satisfaction
3. The Relationship of Product Innovation and Autobiographical Memory toward
Purchase Intention
H0 = Product Innovation and Autobiographical Memory don’t have influence on
Purchase Intention
44
H1 = Product Innovation and Autobiographical Memory have influence on
Purchase Intention
4. The Relationship of Innovation and Customer Loyalty
H0 = Product Innovation doesn’t have influence on customer loyalty
H1 = Product Innovation has influence on customer loyalty
5. The Relationship of Autobiographical Memory and Customer Loyalty
H0 = Autobiographical Memory doesn’t have influence on customer loyalty
H1 = Autobiographical Memory has influence on customer loyalty
6. The Relationship of Purchase Intention and Customer Loyalty
H0 = Purchase Intention doesn’t have influence on customer loyalty
H1 = Purchase Intention has influence on customer loyalty
7. The Relationship of Product Innovation, Autobiographical Memory, and
Purchase Intention toward Customer Loyalty
H0 = Product Innovation, Autobiographical Memory, and Purchase Intention
don’t have influence on customer loyalty
H1 = Product Innovation, Autobiographical Memory, and Purchase Intention
have influence on customer loyalty
45
CHAPTER III
RESEARCH METHODOLOGY
A. Qualitative Research
Qualitative research theoretically have different format the qualitative
research quantitative research. The difference lies in the difficulty in make a
qualitative research design, because in general studies qualitative is not patterned.
Format qualitative research design consists of three models, the format
descriptive, verification format, and the format grounded research. In this study
used a qualitative descriptive design methods, namely research that carefully
illustrates the individual or certain groups on the circumstances and symptoms
that occur (Koentjaraningrat, 1993: 89).
Further qualitative research by Moleong (2007: 6) is the research aims to
understand the phenomenon of what is experienced by the subject of the study
such behavior, perception, motivation, actions, etc., holistically, and by way of
description in the form of words and language, in a specific context in which the
natural and the utilizing a variety of natural methods.
According to Bogdan and Taylor (1975), quoted by Moleong (2007: 4)
argues that qualitative methodology as a procedure research that produces
descriptive data in the form of words written or oral of people and behaviors that
can be observed. Further illustrated by David Williams (1995) as cited Moleong
(2007: 5) argues that qualitative research is collecting data on a natural
background, using natural methods, and conducted by a person or researcher
interested in natural.
46
B. Scope of Research
This study aims to test hypothesis about variable autobiographical
memory, product innovation, purchase intention, and customer loyalty. Scope of
research for this studies are as follows:
1. The focus of the author in this study is the influence of variables Innovation
and Autobiographical Memory towards Purchase Intention that impacts on
Customer Loyalty.
2. The location and the object to be examined are consumer of Converse Shoes
that located in Tangerang.
3. In this study consisted used two variables are exogenous variables and
endogenous variable. Exogenous variable in this research is Innovation (X1)
and Autobiographical Memory given symbol (X2). Endogenous variable in
this research is Purchase Intention given symbol (Y1) and Customer Loyalty
given the symbol (Y2).
C. Determine of Sample Method
1. Population
A population is the aggregate of all elements that share some common sets
of characteristics that comprise the universe for the purpose of the marketing
research problem Malhotra (204:314). Population is generalization of region that
consists of object and subject which have quality and certain characteristics.
2. Sample
Sample is a subgroup of the elements of the population selected for the
participation in the study Malhotra (2004: 314). Sample is part of amount and
characteristic that is owned by its population. If the population is big and the
researcher is impossible to learn everything relates to the population.
47
The sample technique will be used is convenience sampling. According to
Malhotra (2004:321) convenience sampling is a nonprobability sampling
technique that attempts to obtain a sample of convenient elements. Because, non
probability sampling relies on the personal judgment of the researcher rather than
chance to select the sample elements. The researcher can arbitrarily or consciously
decide what elements to include the sample (Malhotra 2004:320)
The researcher takes 100 samples respondent, because accordingto Sugiyono
(2010:74) guidelines to determining sample are as follows :
a. Sample size should be between 30-500 elements.
b. If the sample is broken down further into sub-sample (Male/Female,
Junior/High School/Collage, etc.) must be a minimum number of sub
until 30.
c. In the multivariate research (multiple linear regressions) the sample
sizeshould be several times larger (10 times) than the number of
variables tobe analyzed.
d. A simple experiment for research, with strict controls, sample
sizebetween 10-20 elements.
D. Data Collection Method
According to Sekaran (2003: 219) data can be obtained from primary
source and secondary source. In getting data, the author uses primary data &
secondary data and those will be explained, as follows:
1. Primary Data
Primary data are original data that are collected by researcher in order to
particularly solve the research's problems (Istijanto, 2009: 44). According to
Malhotra (2004: 102) primary data are originated by a researcher for the spesific
48
purpose of addressing the problem at hand. Primary data in this research can
directly be obtained by using questionnaire. According to Malhotra (2004: 280)
questionnaire is a structured technique for data collection that consists of a series
of questions, written or verbal that a respondent answers. The questionnaire has
two parts, there are:
Part 1: Concerning the respondent data such as name, gender, age, jobs, and
monthly income.
Part 2: There are several questions that will be filled by the respondents.
This study used alikert scale that is consist of five level. Likert scaleis
widely used a rating scale that requires the respondents to indicate agreement and
disagreement with each of a series statement about the stimulus objects. Typically,
each scale item has five response categories, ranging from “strongly disagree” to
“strongly agree” Maholtra (2004:258).
Table 3.1 Likert Scale of Levels (Malhotra, 2004:258)
No Range Weight
1 Strongly Agree (SA) 5
2 Agree (A) 4
3 Neutral (N) 3
4 Disagree (D) 2
5 Strongly Disagree (SD) 1
49
2. Secondary Data
According to Malhotra (2004:37) data is collected for some purpose other
than the problem at hand. Secondary data is source indirectly give the data for
researcher (Sugiyono, 2009:193). In the development of this study research,
technique of taking secondary data will be used are :
a. Library Study, done for collecting the data with information through
reference books, journals, and other information which suitable
according to this study.
b. Notes of Converse, Inc such as history company, organization structure,
total of employee, total member, and product.
E. Data Analysis Method
1. Descriptive Analysis
According to Malhotra (2004:263) descriptive study was conducted where
the research is done to provide wider exposure which has a purpose to change the
raw data become easy to comprehended in the form of short time. The descriptive
analysis used to explain general description about the respondent. This way is
done by distributing the 60 questioners to respondent and then processed with
statistical methods using SPPS 17 and Microsoft Excel.
2. Validity Test
According to Malhotra (2004:269) validity of a scale may be defined as
the extent to which differences in observed scale scores reflect true differences
among objects on the characteristic being measured, rather than systematic or
random error.
3. Reliability
According to Malhotra (2004:267) reliability refers to extent which has a
scale produces consistent results if repeated measurements are made on the
characteristic.
50
According to Sugiyono (2009:456) reliability is often defined as the
consistency and stability of data findings. From a positivistic perspective,
reliability typically is considered to be synonymous with consistency of data
produced by observation made by different researcher at different times.
Reliability test conducted by researcher is to measure the consistency of
the questions that include in the questionnaire on the variables. According to
Malhotra (2004:268) a questionnaire is considered reliable when cronbach's alpha
test reached 0.6 or more. Cronbach’s alpha is the average of all possible split half
coefficients resulting from different ways of splitting the scale items (Malhotra,
2004:268).
4. Path Analysis
According to Riduwan and Engkos (2008:2) path analysis model was used
to analyze the patterns of relationships between variables with the aim to find out
directly or indirectly influence the set of independent variables (exogenous)
against the dependent variable (endogenous). There are some benefits using path
analysis based on Riduwan and Engkos (2008:2) are as follows :
a. Description of the phenomenon studied or researched the problem.
b. The prediction variable (Y) based on the value of the variable (X)
and predictions with path analysis is qualitative.
c. Determination of the determinant factor variable (X) where the
dominant influence of the related variables (Y), can be used to
search for the mechanism (line) the influence of the free variable
(X) against variables bound (Y).
d. Use model theory test trimming good test reliability and test new
concepts of development. Application of method of trimming is
used to correct a structural path analysis model by way of
removing the exogenous variables the coefficient of the coaster is
not significant.
51
Figure 3.1 : Path Analysis
ɛ1
ɛ2
ρX1Y2
ρX1Y1
R1X2 ρY1Y2
ρX2Y1
ρX2Y2
Structural equation can be structured as follows :
Y1 = ρx1y1X1 + ρx2y1X2 + ɛ1
Y2 = ρx1y2X1 + ρx2y2X2 + ρy1y2Y1 + ɛ2
Description :
(a) X1 = Product Innovation
(b) X2 = Autobiographical Memory
(c) Y1 = Purchase Intention
(d) Y2 = Customer Loyalty
(e) ɛ1 = Residual
(f) ɛ2 = Residual
Product
Innovation
(X1)
Autobiographical
Memory
(X2)
(X2)
Purchase
Intention
(Y1)
Customer Loyalty
(Y2)
52
5. The Coeficient of Correlation
According to Sarwono (2007:22) correlation of coefficient is used to see
how strong relationship and direction between one or more variable. Coefficient
of correlation can be shown by the number of pearson correlation. Pearson
correlation ranged from zero until one. If pearson correlation is close to the
number one, it means the relationship is getting strong. Otherwise, if pearson
correlation is close to zero then the relationship is getting weak.
Table 3.2. The Level of Coefficient Correlation (Sarwono, 2007:108)
Internal Coefficient Level of Relationship
0.0 – 0.25 Very Weak
0.25 – 0.50 Weak
0.50 – 0.75 Strong
0.75 – 1 Very Strong
6. Coefficient of Determination (r²)
According to Ghozali(2006:202) the coefficient of determination (r²)
essentially measure how far the ability of models to explain variation in the
dependent variable. The value determination of coefficient is between zero and
one. The small means that the ability of independent variables in explaining
variations in the dependent variable is very limited.
Basic weaknesses use the coefficient of determination is based on the
number of independent variables entered into the model. Each additional one
independent variable, then R² would increase, no matter whether these variables
affect the dependent variable is not. Therefore, in this research used is the R
53
square that have been adapted or adjusted R² as adjusted for the variables used in
this research. Adjusted R² value can rise or fail if an independent variable added
into the model.
7. Simultanious Test (Ftest)
According to Sarwono (2007:29) Ftest is used to see the influence
exogenous variable to endogenous variable simultaneously. According to
Sarwono (2007:30) the criteria for testing the significant level is 5% or 0.05. Step
to examine the hypothesis with Ftest are as follow (Sarwono, 2007:17) :
a. Calculate Ftest by SPSS
b. Calculate the Ftable with the criteria significant level is 0.05
c. Determine the criteria of hypothesis test as follows :
1) If Ftest > Ftable, H0 is rejected and H1 is accepted, it means exogenous
variable has significant influence to endogenous variable simultaneously
2) If Ftest < Ftable , H0 is accepted and H1 is rejected, it means exogenous
variable doesn’t have significant influence to endogenous variable simultaneously.
8. Partial Test (Ttest)
According to Sarwono (2007:31) Ttest is used to see how big influence the
exogenous variable to endogenous variable partially. Step to examine the
hypothesis with Ttest are as follow (Sarwono, 2007:32) :
a. Determine the hypotheses :
H0 : Exogenous variable doesn’t have influence endogenous variable
H1 : Exogenous variable has influence endogenous variable
54
b. Calculate the number of Ttest by SPSS
c. Calculate the number of Ttable with the criteria significant level 0.05 and
degree of freedom (df) = n – k (number of respondent – exogenous variable)
d. Determine the criteria of hypothesis test as follows :
1) If Ttest > Ttable , H0 is rejected and H1 is accepted, it means
exogenous variable has significant influence to endogenous variable
partially.
2) If Ttest < Ttable, H0 is accepted and H1 is rejected, it means exogenous
variable doesn’t have significant influence to endogenous variable
partially.
F. Operational Variable
According to Sugiyono (2009:58) research operational are everything that
shaped whatever things which determined by researcher to learn and get the
information about those things, next make a conclusion. Here are the table of
operational variable :
55
Table 3.3
Operational Variable
Variable Sub Variable Indicator Scale
Product
Innovation (X1)
(Solomon,
Marshall, & Stuart
2015: 266)
Relative Advantage
Variable Concept :
Advantages of
innovation to existing
products
Feel Confident Likert
Social Pride Likert
Unique Design Likert
Compability
Variable Concept :
The appropriateness
of innovation with
the value and
experience of
potential buyers
Product quality suitability
with perceived benefits
after product innovation
Likert
Worth it to buy product
between price and quality
Likert
Triability
Variable Concept :
Innovation can be
tried little by little
Product quality conformity
with usage
Likert
Complexity
Variable Concept :
The difficulty of
innovation to
understand
Need new skills in using
converse sneakers
Likert
Observability
Variable Concept :
The ability of the
results of the use of
Consumers often hear and
know the converse product
Likert
56
innovation can be
observed or
explained to others
Autobiographical
Memory (X2)
Haryanto (2008:
80)
Unforgettable
Experience
Impressed with the product
because others are talking
about
Likert
Impressed with the product
because of the first
experience
Likert
Impressed with the product
because the design is
attractive
Likert
Retrieval Remember the product logo Likert
Emotional Memory Remember from the past
converse is a favorite
sneakers
Likert
Remember from past likes
converse than other
products
Likert
Remember from the past
feel happy when using
converse
Likert
Remember from the past
feel impressed with the
converse design
Likert
Purchase
Intention (Y1)
Schiffman, LG. &
Kanuk L.L, (2007:
Interested to find
information about the
produc
Likert
Consider to buying Likert
Interested to try Likert
57
470 - 471) Want to know the product Likert
Want to buy the product Likert
Customer
Loyalty
(Y2)
Lovelock and
Wirtz
(2004: 352)
Cognitive Loyalty Converse sneakers is better
than other cooperative
Likert
Converse has good quality Likert
Affective Loyalty Commitment to consume
converse
Likert
Feels being yourself when
using converse
Likert
Increase self esteem Likert
Conative Loyalty accustomed to using
converse shoes
Likert
Action Loyalty Repeat purchase frequency Likert
Recommended to other Likert
58
CHAPTER IV
RESULT AND ANALYSIS
A. General Overview of Research Object
1. History of Converse, Inc
a. 1908 – 1920
Converse began in 1908 as a rubber shoe company specialising in galoshes
(rubber based shoes). The company was called 'Converse Rubber Shoe Company',
created by Marquis Mills. Soon after, they adapted and started to use their rubber
to make sneakers, which we have all come to know and love. However, their first
colourway was a natural brown Converse high top with a black sole, which today,
wouldn't be a sell-out at all.
By 1910, Converse was well into daily production, however, it wasn't until
1915 that the athletic shoes we've come to know and love we're in production. The
sales of the shoes were pretty slow as back then, trainers were not viewed as
leisure wear. The canvas shoe style was picked up by mostly sports players, and it
stuck like this for a while.
In 1920, they renamed their canvas Converse basketball shoes the “All-Star".
The name stuck and was quickly followed by the endorsement of a basketball
player by the name of Charles "Chuck" Taylor. This turned things around for
Converse, taking them to a whole new playing field. Keep reading for a little more
on how the relationship came about.
b. 1920 – 2000
Although the Converse All Star was in production from 1917, they didn't get
their iconic name until 1921. When basketball player, player for the Akron
Firestones, Charles 'Chuck' Taylor entered their store complaining of sore feet, he
59
was offered a job as salesman and ambassador for the brand. As they say, the rest
was history.
It was in 1932 that, as a way of appreciated and recognition of his hard work,
they printed Taylor's name on the ankle patch of the shoe, creating the Converse
logo history. This created the Chuck Taylor shoe that took over the footwear
industry forever. In 1936, the white hightop Chuck Taylor was designed for the
Olympics and the signature red and blue stripes were introduced along the sole.
This style was so popular that they stuck with the design, and never looked back.
Throughout the following years, they picked up copious amounts of
sponsorship and licensing deals which only perpetuated the brands' popularity
with sports stars and the general public alike. By 1957, Converse held a huge 80%
of shares of the whole sneaker industry.
c. 2000 - Present
It wasn't all so breezy, though. Their sneaker rivals, Nike, were hot on their
heels for a long time (pardon the pun), and after the death of Chuck Taylor in
1968, the company was passed through different ownership and management. A
series of unfortunate events landed Converse in critical times until, in 2001, they
filed for bankruptcy. This is where Nike stepped in and bought the brand, picking
it up and helping it recover to where they are today.
When Nike bought Converse, the brand climbed again, however, Converse's
predilection of the basketball trainer didn't last. Over time, the brand began to
develop multiple occasion footwear which was no longer exclusively designed to
sink jump shots on the court. Eventually they became synonymous with street
style and everyday life across the world. Did you know, a pair of game-worn
Michael Jordan Converse were sold for $190,373 earlier this year? This just goes
to show the extent of the growth and popularity of the shoe.
60
B. Analysis and Discussion
1. General Description and Respondent Data
The respondents in this study were the customer of Converse. Based on the
data of 100 respondents trough questioner, the characteristic obtained based on
gender, age, occupation, and income per month.
1.1 General Description and Respondent based on Gender
From distributing the questioner to customer of converse, researcher got the
description about gender from respondents as follows :
Table 4.1 Respondent Gender
Gender Frequency Percentage
Male 44 44%
Female 56 56%
Total 100 100%
Source: Primary data Processed 2019
Based on the research results of 100 respondents, visible in the table 4.1, it
can be seen that the percentage of female was larger than male respondents. There
were 44 respondents (44%) male and 56 respondents (56%) female from the
results of gender respondents.
61
1.2 General Description and Respondent based on Age
From distributing the questioner to customer of converse, researcher gets
the description about age from respondents as follows :
Tabble 4.2. Responden age
Age Frequency Percentage
11 – 20 years 12 12%
21 – 30 years 78 78%
31 – 40 years 4 4%
41 – 50 years 6 6%
Total 100 100%
Source: Primary data Processed 2019
Based on the research results of 100 respondents, visible in the table 4.2 there
were 12 respondents (12%) 11-20 years, 78 respondents (78%) 21-30 years, 4
respondents (4%) 31-40 years, 6 respondents (6%) 41-50 years.
1.3 General Description and Respondent based on Occupation
From distributing the questioner to customer of converse, researcher gets
the description about occupation from respondents as follows :
62
Table 4.3. Respondent Occupation
Age Frequency Percentage
Student 56 56%
Civil Servants 6 6%
Employees 28 28%
Entrepreneur 10 10%
Total 100 100%
Source: Primary data Processed 2019
Based on the research results of 100 respondents, visible in the table 4.3
there were 6 respondents (6%) civil servants, 28 respondents (28%) employees, 10
respondents (10%) entrepreneurship, and 56 respondents (56%) student, from the
results of occupations respondents.
1.4 General Description and Respondent based on Income per month
From distributing the questioner to customer of converse, researcher gets
the description about age from respondents as follows :
Table 4.4. Respondent Income per month
Income per month Frequency Percentage
Rp 500.000 – Rp 999.999 52 52%
Rp 1.000.000 – Rp 1.499.999 16 16%
Rp 1.500.000 – Rp 1.999.999 6 6%
> Rp 2.000.000 26 26%
Total 100 100%
Source: Primary data Processed 2019
63
Based on the research results of 100 respondents, visible in the table 4.4
there were 32 respondents (32%) < Rp 499.999, 20 respondents (20%) Rp
500.000 – Rp 999.999, 16 respondents (16%) Rp 1.000.000 – 1.499.999, 6
respondents (6%) Rp 1.500.000 – Rp 1.999.999 and 26 respondent >Rp
2.000.000, from the result of expenditure per month the respondents.
2. Validity Test
The validity of a scale may be defined as the extent to which differences in
observed scale scores reflect true differences among on the objects on the
characteristic being measured, rather than systematic or random error. (Malhotra,
2009:269). Validity is the extent to which observed scale scores reflect true
differences among objects on the characteristics being measured, rather than
systematic or random errors. (Malhotra, 2009: 316) Test validity in determining
the worth or absence of an item to be used, usually performed significance test of
correlation coefficient at 0.30 limitations minimal correlation, meaning that an
item is considered valid if the total score is greater than 0.30 (Priyatno, 2010:90)
The questionnaire is divided into four main factors, namely product
innovation (X1) with eight questions, autobiographical memory (X2) with eight
questions, purchase intention (Y1) with five questions, and customer loyalty (Y2)
with eight questions, so the total number of questions in the questionnaire is 29
questions. The validity of each question can be seen in the table below :
64
Table 4.5. Validity Test : Product Innovation (X1)
No Question Pearson Correlation Sig 2 Tailed Describe
1 Product Innovation .465 0.010 Valid
2 Product Innovation .596 0.001 Valid
3 Product Innovation .562 0.001 Valid
4 Product Innovation .731 0.000 Valid
5 Product Innovation .699 0.000 Valid
6 Product Innovation .649 0.000 Valid
7 Product Innovation .364 0.000 Valid
8 Product Innovation .650 0.000 Valid
Source: Primary data Output SPSS 17
From the table above, there are eight questions to test product innovation. It
can be seen that all of the result of product innovation questions are valid, because
the score of total correlation more than 0.30.
Table 4.6. Validity Test : Autobiographical Memory (X2)
No Question Pearson Correlation Sig 2 Tailed Describe
1 Autobiographical Memory 0.668 0.000 Valid
2 Autobiographical Memory 0.685 0.000 Valid
3 Autobiographical Memory 0.755 0.000 Valid
4 Autobiographical Memory 0.632 0.000 Valid
5 Autobiographical Memory 0.686 0.000 Valid
6 Autobiographical Memory 0.789 0.000 Valid
7 Autobiographical Memory 0.678 0.000 Valid
8 Autobiographical Memory 0.509 0.004 Valid
Source: Primary data Output SPSS 17
From the data above, there are eight questions to test autobiographical
memory. It can be seen that all of the result of autobiographical memory are valid,
because the score of total correlation more than 0.30.
65
Table 4.7. Validity Test : Purchase Intention (Y1)
No Question Pearson Correlation Sig 2 Tailed Describe
1 Purchase Intention .774 0.000 Valid
2 Purchase Intention .561 0.001 Valid
3 Purchase Intention .825 0.000 Valid
4 Purchase Intention .932 0.000 Valid
5 Purchase Intention .862 0.000 Valid
Source: Primary data Output SPSS 17
From the data above, there are five questions to test purchase intention. It can
be seen that all of the result of test purchase intention are valid, because the score
of total correlation more than 0.30
Table 4.8. Validity Test : Customer Loyalty (Y2)
No Question Pearson Correlation Sig 2 Tailed Describe
1 Customer Loyalty .841 0.000 Valid
2 Customer Loyalty .638 0.000 Valid
3 Customer Loyalty .779 0.000 Valid
4 Customer Loyalty .556 0.001 Valid
5 Customer Loyalty .784 0.000 Valid
6 Customer Loyalty .734 0.000 Valid
7 Customer Loyalty .694 0.000 Valid
8 Customer Loyalty .742 0.004 Valid
Source: Primary data Output SPSS 17
From the data above, there are eight questions to test customer loyalty. It can
be seen that all of the result of customer loyalty are valid, because the score of
total correlation more than 0.30.
66
3. Reliability Test
Reliability test conducted by researcher to measures the consistency of
questions that include in the questioner on variables. According to Malhotra
(2004:268) a questioner is considered reliable when cronbach’s alpha test reached
0.60 or more. Cronbach’s alpha is the average of all possible split half coefficients
resulting from different ways of splitting the scale items. The table below shows
the reliability test result as follows:
a. Product Innovation
There are eight questions about Product Innovation that will be
tested with using reliability test. The variable is categorizes reliable if
cronbach’s alpha more than 0.60. Here are the results of reliability test
about Product Innovation as follows:
Table 4.9. Realibility Test of Product Innovation (X1)
Reliability Statistics
Cronbach's
Alpha N of Items
.718 8
Source: Primary data Output SPSS 17
Based on the table above, it can be seen the number of cronbach’s
alpha is 0.718. It means variable of online Product Innovation is reliable
because the cronbach’s alpha shows more than 0.60.
b. Autobiographical Memory
There are eight questions about Autobiographical Memory that will
be tested with using reliability test. The variable is categorizes reliable if
67
cronbach’s alpha more than 0.60. Here are the results of reliability test
about Autobiographical Memory as follows:
Table 4.10. Realibility Tesy of Autobiographical Memory (X2)
Reliability Statistics
Cronbach's
Alpha N of Items
.832 8
Source: Primary data Output SPSS 17
Based on the table above, it can be seen the number of cronbach’s
alpha is 0.832. It means variable of Autobiographical Memory is reliable
because the cronbach’s alpha shows more than 0.60.
c. Purchase Intention
There are five questions about Purchase Intention that will be
tested with using reliability test. The variable is categorizes reliable if
cronbach’s alpha more than 0.60. Here are the results of reliability test
about Purchase Intention as follows:
Table 4.11. Reliability Test of Purchase Intention (Y1)
Reliability Statistics
Cronbach's
Alpha N of Items
.850 5
Source: Primary data Output SPSS 17
Based on the table above, it can be seen the number of cronbach’s
alpha is 0.850. It means variable of Autobiographical Memory is reliable
because the cronbach’s alpha shows more than 0.60.
68
d. Customer Loyalty
There are eight questions about Customer Loyalty that will be
tested with using reliability test. The variable is categorizes reliable if
cronbach’s alpha more than 0.60. Here are the results of reliability test
about Customer Loyalty as follows:
Table 4.12. Reliability Test of Customer Loyalty (Y2)
Reliability Statistics
Cronbach's
Alpha N of Items
.870 8
Source: Primary data Output SPSS 17
Based on the table above, it can be seen the number of cronbach’s
alpha is 0.870. It means variable of Customer Loyalty is reliable because
the cronbach’s alpha shows more than 0.60.
C. Descriptive Analysis
1. Product Innovation
There are eight questions in Product Innovation, every question have different
frequency and percent. The frequency number get from respondent value. Here
are the explanation of each question :
69
Table 4.13. Question X1.1
I think with the Converse Chuck Taylor II with lunarlon soles it can add
comfort when wearing it
X1.1
Frequency Percent Valid Percent
Cumulative
Percent
Valid 1 4 4.0 4.0 4.0
2 8 8.0 8.0 12.0
3 26 26.0 26.0 38.0
4 32 32.0 32.0 70.0
5 30 30.0 30.0 100.0
Total 100 100.0 100.0
Source: Primary data Output SPSS 17
Based on the table 4.13 showed that 4 respondents (4%) strongly disagree ,8
respondent (8%) disagree, 26 respondents (26%) neutral, 32 respondents (32%)
agree and 30 respondents (30%) strongly agree. The table results shown the
majority of respondents agree that Converse Chuck Taylor II with lunarlon soles it
can add comfort when wearing it.
Table 4.14. Question X1.2
I feel there is a sense of pride when using Converse Chuck Taylor II
X1.2
Frequency Percent Valid Percent
Cumulative
Percent
Valid 1 8 8.0 8.0 8.0
2 11 11.0 11.0 19.0
3 40 40.0 40.0 59.0
4 27 27.0 27.0 86.0
5 14 14.0 14.0 100.0
Total 100 100.0 100.0
Source: Primary data Output SPSS 17
70
Based on the table 4.14 showed that 8 respondents (8%) strongly disagree ,11
respondent (11%) disagree, 40 respondents (40%) neutral, 27 respondents (27%)
agree and 14 respondents (14%) strongly agree. The table results shown the
majority of respondents neutral that is a sense of pride when using Converse
Chuck Taylor II.
Table 4.15. Question X1.3
Converse Chuck Taylor II / Chuck Taylor Flyknit has a unique design
compared to previous designs
X1.3
Frequency Percent Valid Percent
Cumulative
Percent
Valid 1 6 6.0 6.0 6.0
2 22 22.0 22.0 28.0
3 30 30.0 30.0 58.0
4 28 28.0 28.0 86.0
5 14 14.0 14.0 100.0
Total 100 100.0 100.0
Source: Primary data Output SPSS 17
Based on the table 4.15 showed that 6 respondents (6%) strongly disagree ,22
respondent (22%) disagree, 30 respondents (30%) neutral, 28 respondents (28%)
agree and 14 respondents (14%) strongly agree. The table results shown the
majority of respondents neutral that Converse Chuck Taylor II / Chuck Taylor
Flyknit has a unique design compared to previous designs.
71
Table 4.16. Questionere X1.4
I think the quality of the latest Converse Chuck Taylor II products is
better than the previous quality
X1.4
Frequency Percent Valid Percent
Cumulative
Percent
Valid 1 10 10.0 10.0 10.0
2 6 6.0 6.0 16.0
3 32 32.0 32.0 48.0
4 36 36.0 36.0 84.0
5 16 16.0 16.0 100.0
Total 100 100.0 100.0
Source: Primary data Output SPSS 17
Based on the table 4.16 showed that 10 respondents (10%) strongly disagree ,6
respondent (6%) disagree, 32 respondents (32%) neutral, 36 respondents (36%)
agree and 16 respondents (16%) strongly agree. The table results shown the
majority of respondents agree that the quality of the latest Converse Chuck Taylor
II products is better than the previous quality.
Table 4.17. Questionere X1.5
The price I spent to buy Converse Chuck Taylor II reliable with quality
of the product
X1.5
Frequency Percent Valid Percent
Cumulative
Percent
Valid 1 12 12.0 12.0 12.0
2 13 13.0 13.0 25.0
3 24 24.0 24.0 49.0
4 28 28.0 28.0 77.0
5 23 23.0 23.0 100.0
Total 100 100.0 100.0
72
Based on the table 4.17 showed that 12 respondents (12%) strongly disagree
,13 respondent (13%) disagree, 24 respondents (24%) neutral, 28 respondents
(28%) agree and 23 respondents (23%) strongly agree. The table results shown the
majority of respondents agree that The price I spent to buy Converse Chuck
Taylor II reliable with quality of the product.
Table 4.18. Questionare X1.6
The possibility of blisters when using Converse Chuck Taylor II is less
because the foamy ingredients and not kanfas
X1.6
Frequency Percent Valid Percent
Cumulative
Percent
Valid 1 4 4.0 4.0 4.0
2 12 12.0 12.0 16.0
3 26 26.0 26.0 42.0
4 41 41.0 41.0 83.0
5 17 17.0 17.0 100.0
Total 100 100.0 100.0
Source: Primary data Output SPSS 17
Based on the table 4.18 showed that 4 respondents (4%) strongly disagree ,12
respondent (12%) disagree, 26 respondents (26%) neutral, 41 respondents (41%)
agree and 17 respondents (17%) strongly agree. The table results shown the
majority of respondents agree that The possibility of blisters when using Converse
Chuck Taylor II is less because the foamy ingredients and not kanfas.
73
Table 4.19. Questionare X1.7
Need new skills to use Converse CT II
X1.7
Frequency Percent Valid Percent
Cumulative
Percent
Valid 1 8 8.0 8.0 8.0
2 17 17.0 17.0 25.0
3 47 47.0 47.0 72.0
4 20 20.0 20.0 92.0
5 8 8.0 8.0 100.0
Total 100 100.0 100.0
Source: Primary data Output SPSS 17
Based on the table 4.19 showed that 8 respondents (8%) strongly disagree ,17
respondent (17%) disagree, 47 respondents (47%) neutral, 20 respondents (20%)
agree and 8 respondents (8%) strongly agree. The table results shown the majority
of respondents neutral that Need new skills to use Converse CT II
Table 4.20. Questionare X1.8
Converse CT II is more famous than other Converse products
X1.8
Frequency Percent Valid Percent
Cumulative
Percent
Valid 1 21 21.0 21.0 21.0
2 6 6.0 6.0 27.0
3 43 43.0 43.0 70.0
4 20 20.0 20.0 90.0
5 10 10.0 10.0 100.0
Total 100 100.0 100.0
Source: Primary data Output SPSS 17
74
Based on the table 4.20 showed that 21 respondents (21%) strongly disagree ,6
respondent (6%) disagree, 43 respondents (43%) neutral, 20 respondents (20%)
agree and 10 respondents (10%) strongly agree. The table results shown the
majority of respondents neutral that Converse CT II is more famous than other
Converse products.
2. Autobiographical Memory
There are eight questions in Autobiographical Memory, every questions has
different frequency and percentage. The frequency number get from respondent
value. Here are the explanation of each question :
Table 4.21. Questionare X2.1
I was impressed with Converse because other people talked about it
X2.1
Frequency Percent Valid Percent
Cumulative
Percent
Valid 1 6 6.0 6.0 6.0
2 16 16.0 16.0 22.0
3 36 36.0 36.0 58.0
4 20 20.0 20.0 78.0
5 22 22.0 22.0 100.0
Total 100 100.0 100.0
Source: Primary data Output SPSS 17
Based on the table 4.21 showed that 6 respondents (6%) strongly disagree ,16
respondent (16%) disagree, 36 respondents (36%) neutral, 20 respondents (20%)
agree and 22 respondents (22%) strongly agree. The table results shown the
majority of respondents neutral that with Converse because other people talked
about it.
75
Table 4.22. Questionare X2.2
I was impressed with Converse at the first time i used
X2.2
Frequency Percent Valid Percent
Cumulative
Percent
Valid 1 8 8.0 8.0 8.0
2 6 6.0 6.0 14.0
3 22 22.0 22.0 36.0
4 38 38.0 38.0 74.0
5 26 26.0 26.0 100.0
Total 100 100.0 100.0
Source: Primary data Output SPSS 17
Based on the table 4.22 showed that 8 respondents (8%) strongly disagree ,6
respondent (6%) disagree, 22 respondents (22%) neutral, 38 respondents (38%)
agree and 26 respondents (26%) strongly agree. The table results shown the
majority of respondents agree that they are impressed with Converse at the first
time they used.
Table 4.23. Questionare X2.3
I've always been impressed with the Converse Chuck Taylor design
X2.3
Frequency Percent Valid Percent
Cumulative
Percent
Valid 1 4 4.0 4.0 4.0
2 18 18.0 18.0 22.0
3 30 30.0 30.0 52.0
4 24 24.0 24.0 76.0
5 24 24.0 24.0 100.0
Total 100 100.0 100.0
Source: Primary data Output SPSS 17
76
Based on the table 4.23 showed that 4 respondents (4%) strongly disagree ,18
respondent (18%) disagree, 30 respondents (30%) neutral, 24 respondents (24%)
agree and 24 respondents (24%) strongly agree. The table results shown the
majority of respondents agree that they always been impressed with the Converse
Chuck Taylor design.
Table 4.24. Questionare X2.4
I am impressed with the logo from Converse
X2.4
Frequency Percent Valid Percent
Cumulative
Percent
Valid 1 4 4.0 4.0 4.0
2 12 12.0 12.0 16.0
3 28 28.0 28.0 44.0
4 28 28.0 28.0 72.0
5 28 28.0 28.0 100.0
Total 100 100.0 100.0
Source: Primary data Output SPSS 17
Based on the table 4.24 showed that 4 respondents (4%) strongly disagree ,12
respondent (12%) disagree, 28 respondents (28%) neutral, 28 respondents (28%)
agree and 28 respondents (28%) strongly agree. The table results shown the
majority of respondents neutral, agree, and strongly agree that they impressed
with the logo from converse.
77
Table 4.25. Questionare X2.5
I remember that Converse was my favorite shoe
X2.5
Frequency Percent Valid Percent
Cumulative
Percent
Valid 1 12 12.0 12.0 12.0
2 12 12.0 12.0 24.0
3 36 36.0 36.0 60.0
4 24 24.0 24.0 84.0
5 16 16.0 16.0 100.0
Total 100 100.0 100.0
Source: Primary data Output SPSS 17
Based on the table 4.25 showed that 12 respondents (12%) strongly disagree
,12 respondent (12%) disagree, 36 respondents (36%) neutral, 24 respondents
(24%) agree and 16 respondents (16%) strongly agree. The table results shown the
majority of respondents neutral that they remember that Converse was a favorite
shoe.
Table 4.26. Questionare X2.6
I like Converse shoes when compared to other shoes
X2.6
Frequency Percent Valid Percent
Cumulative
Percent
Valid 1 10 10.0 10.0 10.0
2 12 12.0 12.0 22.0
3 30 30.0 30.0 52.0
4 30 30.0 30.0 82.0
5 18 18.0 18.0 100.0
Total 100 100.0 100.0
Source: Primary data Output SPSS 17
78
Based on the table 4.26 showed that 10 respondents (10%) strongly disagree
,12 respondent (12%) disagree, 30 respondents (30%) neutral, 30 respondents
(30%) agree and 18 respondents (18%) strongly agree. The table results shown the
majority of respondents neutral, and agree that they like Converse shoes when
compared to other shoes.
Table 4.27 Questionare X2.7
I always felt comfortable when using Converse shoes
X2.7
Frequency Percent Valid Percent
Cumulative
Percent
Valid 1 6 6.0 6.0 6.0
2 6 6.0 6.0 12.0
3 32 32.0 32.0 44.0
4 36 36.0 36.0 80.0
5 20 20.0 20.0 100.0
Total 100 100.0 100.0
Source: Primary data Output SPSS 17
Based on the table 4.27 showed that 6 respondents (6%) strongly disagree ,6
respondent (6%) disagree, 32 respondents (32%) neutral, 36 respondents (36%)
agree and 20 respondents (20%) strongly agree. The table results shown the
majority of respondents agree that they always felt comfortable when using
Converse shoes.
79
Table 4.28. Questionare X2.8
I like Converse Chuck Taylor shoes because of their unique design and
never change from the past
X2.8
Frequency Percent Valid Percent
Cumulative
Percent
Valid 1 4 4.0 4.0 4.0
3 30 30.0 30.0 34.0
4 46 46.0 46.0 80.0
5 20 20.0 20.0 100.0
Total 100 100.0 100.0
Source: Primary data Output SPSS 17
Based on the table 4.28 showed that 4 respondents (4%) strongly disagree ,0
respondent (0%) disagree, 30 respondents (30%) neutral, 46 respondents (46%)
agree and 20 respondents (20%) strongly agree. The table results shown the
majority of respondents agree that they like Converse Chuck Taylor shoes because
of their unique design and never change from the past.
3. Purchase Intention
There are five questions in Purchase Intention, every questions has different
frequency and percentage. The frequency number get from respondent value. Here
are the explanation of each question :
80
Table 4.29. Questionare Y1.1
Interested in finding complete information about Converse Chuck Taylor
II / Chuck Taylor Flyknit
Y1.1
Frequency Percent Valid Percent
Cumulative
Percent
Valid 1 8 8.0 8.0 8.0
2 18 18.0 18.0 26.0
3 28 28.0 28.0 54.0
4 32 32.0 32.0 86.0
5 14 14.0 14.0 100.0
Total 100 100.0 100.0
Source: Primary data Output SPSS 17
Based on the table 4.29 showed that 8 respondents (8%) strongly disagree ,18
respondent (18%) disagree, 28 respondents (28%) neutral, 32 respondents (32%)
agree and 14 respondents (14%) strongly agree. The table results shown the
majority of respondents agree that they Interested in finding complete information
about Converse Chuck Taylor II / Chuck Taylor Flyknit.
Table 4.30. Questionare Y1.2
Price, and the quality of Converse CT II are the reasons for consideration
in buying the product
Y1.2
Frequency Percent Valid Percent
Cumulative
Percent
Valid 1 2 2.0 2.0 2.0
2 8 8.0 8.0 10.0
3 38 38.0 38.0 48.0
4 30 30.0 30.0 78.0
5 22 22.0 22.0 100.0
Total 100 100.0 100.0
81
Based on the table 4.30 showed that 2 respondents (2%) strongly disagree ,8
respondent (8%) disagree, 38 respondents (38%) neutral, 30 respondents (30%)
agree and 22 respondents (2%) strongly agree. The table results shown the
majority of respondents neutral that Price, and the quality of Converse CT II are
the reasons for consideration in buying the product.
Table 4.31. Questionare Y1.3
I am eager to try Converse Chuck Taylor II's latest innovation / Chuck
Taylor Flyknit
Y1.3
Frequency Percent Valid Percent
Cumulative
Percent
Valid 1 6 6.0 6.0 6.0
2 8 8.0 8.0 14.0
3 38 38.0 38.0 52.0
4 36 36.0 36.0 88.0
5 12 12.0 12.0 100.0
Total 100 100.0 100.0
Source: Primary data Output SPSS 17
Based on the table 4.31 showed that 6 respondents (6%) strongly disagree ,8
respondent (8%) disagree, 38 respondents (38%) neutral, 36 respondents (36%)
agree and 12 respondents (12%) strongly agree. The table results shown the
majority of respondents agree that they are eager to try Converse Chuck Taylor
II's latest innovation / Chuck Taylor Flyknit.
82
Table 4.32. Questionare Y1.4
Interested in knowing more about Converse Chuck Taylor II / Chuck
Taylor Flyknit
Y1.4
Frequency Percent Valid Percent
Cumulative
Percent
Valid 1 8 8.0 8.0 8.0
2 12 12.0 12.0 20.0
3 42 42.0 42.0 62.0
4 24 24.0 24.0 86.0
5 14 14.0 14.0 100.0
Total 100 100.0 100.0
Source: Primary data Output SPSS 17
Based on the table 4.32 showed that 8 respondents (8%) strongly disagree ,12
respondent (12%) disagree, 42 respondents (42%) neutral, 24 respondents (24%)
agree and 14 respondents (14%) strongly agree. The table results shown the
majority of respondents neutral that Interested in knowing more about Converse
Chuck Taylor II / Chuck Taylor Flyknit.
Table 4.33. Questionare Y1.5
I am eager to buy the latest Converse Chuck Taylor II / Chuck Taylor
Flyknit innovation
Y1.5
Frequency Percent Valid Percent
Cumulative
Percent
Valid 1 8 8.0 8.0 8.0
2 12 12.0 12.0 20.0
3 40 40.0 40.0 60.0
4 18 18.0 18.0 78.0
5 22 22.0 22.0 100.0
Total 100 100.0 100.0
Source: Primary data Output SPSS 17
83
Based on the table 4.33 showed that 8 respondents (8%) strongly disagree ,12
respondent (12%) disagree, 40 respondents (40%) neutral, 18 respondents (18%)
agree and 22 respondents (22%) strongly agree. The table results shown the
majority of respondents neutral that they are eager to buy the latest Converse
Chuck Taylor II / Chuck Taylor Flyknit innovation.
4. Customer Loyalty
There are eight questions in Customer Loyalty, every questions has different
frequency and percentage. The frequency number get from respondent value. Here
are the explanation of each question :
Table 4.34. Questionare Y2.1
I feel Converse shoes are the best compared to other brands
Y2.1
Frequency Percent Valid Percent
Cumulative
Percent
Valid 1 8 8.0 8.0 8.0
2 10 10.0 10.0 18.0
3 38 38.0 38.0 56.0
4 22 22.0 22.0 78.0
5 22 22.0 22.0 100.0
Total 100 100.0 100.0
Source: Primary data Output SPSS 17
Based on the table 4.34 showed that 8 respondents (8%) strongly disagree ,10
respondent (10%) disagree, 38 respondents (38%) neutral, 22 respondents (22%)
agree and 22 respondents (22%) strongly agree. The table results shown the
majority of respondents neutral that they feel Converse shoes are the best
compared to other brands.
84
Table 4.35. Questionare Y2.2
I feel Converse has very good quality
Y2.2
Frequency Percent Valid Percent
Cumulative
Percent
Valid 3 42 42.0 42.0 42.0
4 24 24.0 24.0 66.0
5 34 34.0 34.0 100.0
Total 100 100.0 100.0
Source: Primary data Output SPSS 17
Based on the table 4.35 showed that 0 respondents (0%) strongly disagree ,0
respondent (0%) disagree, 42 respondents (42%) neutral, 24 respondents (24%)
agree and 34 respondents (34%) strongly agree. The table results shown the
majority of respondents neutral that they feel Converse has very good quality.
Table 4.36. Questionare Y2.3
I am interested in collecting different types of Converse shoes with
different motifs and colors
Y2.3
Frequency Percent Valid Percent
Cumulative
Percent
Valid 1 12 12.0 12.0 12.0
2 6 6.0 6.0 18.0
3 34 34.0 34.0 52.0
4 24 24.0 24.0 76.0
5 24 24.0 24.0 100.0
Total 100 100.0 100.0
Source: Primary data Output SPSS 17
85
Based on the table 4.36 showed that 12 respondents (12%) strongly disagree ,6
respondent (6%) disagree, 34 respondents (34%) neutral, 24 respondents (24%)
agree and 24 respondents (24%) strongly agree. The table results shown the
majority of respondents neutral that they interested in collecting different types of
Converse shoes with different motifs and colors.
Table 4.37. Questionare Y2.4
When using Converse shoes can increase my confidence
Y2.4
Frequency Percent Valid Percent
Cumulative
Percent
Valid 1 4 4.0 4.0 4.0
2 4 4.0 4.0 8.0
3 28 28.0 28.0 36.0
4 54 54.0 54.0 90.0
5 10 10.0 10.0 100.0
Total 100 100.0 100.0
Source: Primary data Output SPSS 17
Based on the table 4.37 showed that 4 respondents (4%) strongly disagree ,4
respondent (4%) disagree, 28 respondents (28%) neutral, 54 respondents (54%)
agree and 10 respondents (10%) strongly agree. The table results shown the
majority of respondents agree that When using Converse shoes can increase my
confidence.
86
Table 4.38. Questionare Y2.5
When using Converse shoes it symbolizes my true identity
Y2.5
Frequency Percent Valid Percent
Cumulative
Percent
Valid 1 10 10.0 10.0 10.0
2 12 12.0 12.0 22.0
3 34 34.0 34.0 56.0
4 22 22.0 22.0 78.0
5 22 22.0 22.0 100.0
Total 100 100.0 100.0
Source: Primary data Output SPSS 17
Based on the table 4.38 showed that 10 respondents (10%) strongly disagree
,12 respondent (12%) disagree, 34 respondents (34%) neutral, 22 respondents
(22%) agree and 22 respondents (22%) strongly agree. The table results shown the
majority of respondents neutral that When using Converse shoes it symbolizes my
true identity
Table 4.39. Questionare Y2.6
I am used to using Converse shoes for a long time
Y2.6
Frequency Percent Valid Percent
Cumulative
Percent
Valid 1 6 6.0 6.0 6.0
2 10 10.0 10.0 16.0
3 44 44.0 44.0 60.0
4 20 20.0 20.0 80.0
5 20 20.0 20.0 100.0
Total 100 100.0 100.0
Source: Primary data Output SPSS 17
87
Based on the table 4.39 showed that 6 respondents (6%) strongly disagree ,10
respondent (10%) disagree, 44 respondents (44%) neutral, 20 respondents (20%)
agree and 20 respondents (20%) strongly agree. The table results shown the
majority of respondents neutral that they using Converse shoes for a long time.
Table 4.40. Questionare Y2.7
I will buy back Converse shoes if the shoes that I have are already broken
Y2.7
Frequency Percent Valid Percent
Cumulative
Percent
Valid 1 8 8.0 8.0 8.0
2 8 8.0 8.0 16.0
3 34 34.0 34.0 50.0
4 34 34.0 34.0 84.0
5 16 16.0 16.0 100.0
Total 100 100.0 100.0
Source: Primary data Output SPSS 17
Based on the table 4.40 showed that 8 respondents (8%) strongly disagree ,8
respondent (8%) disagree, 34 respondents (34%) neutral, 34 respondents (20%)
agree and 16 respondents (16%) strongly agree. The table results shown the
majority of respondents neutral and agree that they will buy back Converse shoes
if the shoes that I have are already broken.
88
Table 4.41. Questionare Y2.8
I would recommend Converse shoes to family, friends or relatives to buy
the product
Y2.8
Frequency Percent Valid Percent
Cumulative
Percent
Valid 1 10 10.0 10.0 10.0
2 2 2.0 2.0 12.0
3 32 32.0 32.0 44.0
4 36 36.0 36.0 80.0
5 20 20.0 20.0 100.0
Total 100 100.0 100.0
Source: Primary data Output SPSS 17
Based on the table 4.41 showed that 10 respondents (10%) strongly disagree ,2
respondent (2%) disagree, 32 respondents (32%) neutral, 36 respondents (36%)
agree and 20 respondents (20%) strongly agree. The table results shown the
majority of respondents agree that they would recommend Converse shoes to
family, friends or relatives to buy the product.
D. Analysis Result
1. Analysis Structural I
Path model analysis is done by Product Innovation (X1) and
Autobiographical Memory (X2) on Purchase Intention (Y1) for model 1. For
model 2, it is done with Product Innovation (X1), Autobiographical Memory (X2)
and Purchase Intention (Y1) for Customer Loyalty (Y2). The equation model
formula is as follows:
Sub-structure 1 : Y = ρ1X1 + ρ2 X2 + є1
Based on the results of calculations using SPSS, the following results are
obtained simultaneously and partially :
89
1.1 Influence of product innovation and autobiographical memory
simultaneously on purchase intention (F Test).
To see the impact of product innovation and autobiographical
memory on purchase intention, seen from the results of calculations in the
summary model, specifically the R square number below:
Table 4.42
Model Summary
Model Summary
Model R R Square
Adjusted R
Square
Std. Error of the
Estimate
1 .600a .360 .347 3.563
a. Predictors: (Constant), Total X2, Total X1
The amount of the R square (r2) is 0.360. This number is used to see
the effect of product innovation and autobiographical memory on
purchase intention by calculating coefficients (KD) using the following
formula:
KD = r2
x 100%
KD = 0,360 x 100%
KD = 36%
This number means that product innovation and autobiographical
memory on purchase intention simultaneously are 36%, while the
remaining 64% (100% - 36%) is influenced by other factors. In other
words, the purchase intention variable can be explained by using product
innovation and autobiographical memory variables of 36% while the
influence of 64% is caused by other variables outside of this model.
Calculates standard error є: √(1-R2) =
90
є1 : √(1-0,360)
: 0.8
Table 4.43
ANOVA
ANOVAb
Model Sum of Squares df Mean Square F Sig.
1 Regression 692.426 2 346.213 27.267 .000a
Residual 1231.614 97 12.697
Total 1924.040 99
a. Predictors: (Constant), Total X2, Total X1
b. Dependent Variable: Total Y1
The hypothesis is as follows:
Ho: There is no direct influence between product innovation (X1) and
autobiographical memory (X2) on purchase intention (Y1).
Ha: There is a direct influence between product innovation (X1) and
autobiographical memory (X2) on purchase intention (Y1).
Testing is done in two ways. First, compare the magnitude of the
number F count with F table. The second way is to compare the numbers
of the significance level (sig) of the calculation results with a significance
level of 0.05 (5%).
Comparing the magnitude of F count on anova model with F table. F
count is obtained 27.267, F table is obtained at 2.70. With the provisions
of degrees of freedom = (k-1) (nk) or df1 = k-1 and df2 = nk where df1 =
4-1 = 3 and df2 = 100-4 = 96. If F count> F table then Ho is rejected and
Ha accepted. If F count <F table, then Ho is accepted and Ha is rejected.
From the calculation, it can be seen that Fcount 27.267> F table 2.70, then
91
Ha is accepted, meaning there is a direct influence between product
innovation and autobiographical memory on purchase intention.
Then compare the magnitude of the significant number (sig) with a
significance of 0.05. If sig count <0.05, then Ho is rejected and Ha is
accepted. If sig count> 0.05, then Ho is accepted and Ha is rejected. Based
on the calculation of the significance number of 0,000 <0,05, Ha is
accepted. It means that there is a direct influence between product
innovation and autobiographical memory on purchase intention.
1.2 Influence of product innovation dan autobiographical memory secara
simultan terhadap purchase intention (T Test).
To see the magnitude of the direct effect of product innovation and
autobiographical memory variables partially on purchase intention, the t
test, meanwhile, is used to see the magnitude of influence, beta numbers or
standardized coefficients are used below:
Table 4.44
Coefficients
Coefficientsa
Model
Unstandardized Coefficients
Standardized
Coefficients
t Sig. B Std. Error Beta
1 (Constant) 2.847 1.931 1.474 .144
Total X1 .218 .061 .313 3.575 .001
Total X2 .294 .063 .409 4.673 .000
a. Dependent Variable: Total Y1
92
a.) The Influence between product innovation (X1) toward purchase
intention (Y1)
Ho: There is no direct influence between product innovation (X1)
on purchase intention (Y1).
Ha: There is a direct influence between product innovation (X1) on
purchase intention (Y1).
The results of the SPSS calculation obtained t count of 3.575.
While the significant level of 0.05 and the degree of freedom (DK)
with the provisions: DK = n-2, or 100-2 = 98 produces a t table of
1.984. With hypothesis test criteria: If t count> t table then Ho is
rejected and Ha is accepted. If t count <t table then Ho is accepted
and Ha is rejected. Based on the results of these studies, obtained
the number t count of 3.575 > t table 1.984 so that Ho is rejected
and Ha is accepted. This means that there is a direct influence
between product innovation (X1) on purchase intention (Y1). The
magnitude of the effect of product innovation on purchase
intention is 0.313 or 31.3%. While the rest (100% - 31.3% =
68.7%) is explained by other variables.
b.) The Influence between autobiographical memory (X2) toward
purchase intention (Y1)
Ho: There is no direct influence between autobiographical memory
(X2) on purchase intention (Y1).
Ha: There is a direct influence between autobiographical memory
(X2) on purchase intention (Y1).
93
The results of the SPSS calculation obtained t count of 4.673.
While the significant level of 0.05 and the degree of freedom (DK)
with the provisions: DK = n-2, or 100-2 = 98 produces a t table of
1.984. With hypothesis test criteria: If t count> t table then Ho is
rejected and Ha is accepted. If t count <t table then Ho is accepted
and Ha is rejected. Based on the results of these studies, obtained
the number t count of 4.673 > t table 1.984 so that Ho is rejected
and Ha is accepted. This means that there is a direct influence
between autobiographical memory (X1) on purchase intention
(Y1). The magnitude of the effect of autobiographical memory on
purchase intention is 0.409 or 40.9%. While the rest (100% -
40.9% = 59.1%) is explained by other variables.
2. Analysis Structural II
Path model analysis is done by Product Innovation (X1) and
Autobiographical Memory (X2) on Purchase Intention (Y1) for model 1. For
model 2, it is done with Product Innovation (X1), Autobiographical Memory (X2)
and Purchase Intention (Y1) for Customer Loyalty (Y2). The equation model
formula is as follows:
Sub-structure 2 : Y2 = ρ1 X1 + ρ2 X2 + ρ3Y1 + є2
Based on the results of calculations using SPSS, the following results are
obtained simultaneously and partially :
2.1 Influence of product innovation, autobiographical memory and
purchase intention simultaneously on customer loyalty (F Test).
To see the impact of product innovation, autobiographical memory
and purchase intention on customer loyalty, seen from the results of
calculations in the summary model, specifically the R square number
below:
94
Table 4.45
Model Summary
Model Summary
Model R R Square
Adjusted R
Square
Std. Error of the
Estimate
1 .740a .548 .534 4.689
a. Predictors: (Constant), Total Y1, Total X1, Total X2
The amount of the R square (r2) is 0.548. This number is used to see
the effect of product innovation, autobiographical memory and purchase
intention on customer loyalty by calculating coefficients (KD) using the
following formula:
KD = r2
x 100%
KD = 0,548 x 100%
KD = 54.8%
This number means that product innovation, autobiographical
memory and purchase intention and customer loyalty simultaneously are
54.8%, while the remaining 45.2% (100% - 54.8%) is influenced by other
factors. In other words, the customer loyalty variable can be explained by
using product innovation, autobiographical memory and purchase
intention variables of 54.8% while the influence of 45.2% is caused by
other variables outside of this model.Calculates standard error є: √(1-R2) =
є2 : √(1-0,548)
: 0.672
95
Table 4.46
ANOVA
ANOVAb
Model Sum of Squares df Mean Square F Sig.
1 Regression 2561.536 3 853.845 38.842 .000a
Residual 2110.304 96 21.982
Total 4671.840 99
a. Predictors: (Constant), Total Y1, Total X1, Total X2
b. Dependent Variable: Total Y2
The hypothesis is as follows:
Ho: There is no direct influence between product innovation (X1),
autobiographical memory (X2) and purchase intention (Y1) on customer
loyalty (Y2).
Ha: There a direct influence between product innovation (X1), autobiographical
memory (X2) and purchase intention (Y1) on customer loyalty (Y2).
Testing is done in two ways. First, compare the magnitude of the
number F count with F table. The second way is to compare the numbers
of the significance level (sig) of the calculation results with a significance
level of 0.05 (5%).
Comparing the magnitude of F count on anova model with F table. F
count is obtained 38.842, F table is obtained at 2.70. With the provisions
of degrees of freedom = (k-1) (nk) or df1 = k-1 and df2 = nk where df1 =
4-1 = 3 and df2 = 100-4 = 96. If F count> F table then Ho is rejected and
Ha accepted. If F count <F table, then Ho is accepted and Ha is rejected.
From the calculation, it can be seen that Fcount 38.842 > F table 2.70, then
Ha is accepted, meaning there is a direct influence between product
innovation, autobiographical memory and purchase intention on customer
loyalty.
96
Then compare the magnitude of the significant number (sig) with a
significance of 0.05. If sig count <0.05, then Ho is rejected and Ha is
accepted. If sig count> 0.05, then Ho is accepted and Ha is rejected. Based
on the calculation of the significance number of 0,000 <0,05, Ha is
accepted. It means that there is a direct influence between product
innovation, autobiographical memory and purchase intention on customer
loyalty.
2.1 Influence of product innovation dan autobiographical memory secara
simultan terhadap purchase intention (T Test).
To see the magnitude of the direct effect of product innovation and
autobiographical memory variables partially on purchase intention, the t
test, meanwhile, is used to see the magnitude of influence, beta numbers or
standardized coefficients are used below:
Table 4.47
Coefficients
Coefficientsa
Model
Unstandardized Coefficients
Standardized
Coefficients
t Sig. B Std. Error Beta
1 (Constant) 8.823 2.570 3.434 .001
Total X1 -.285 .085 -.263 -3.345 .001
Total X2 .789 .091 .705 8.621 .000
Total Y1 .277 .134 .178 2.075 .041
a. Dependent Variable: Total Y2
a.) The Influence between product innovation (X1) toward customer
loyalty (Y2)
97
Ho: There is no direct influence between product innovation (X1)
on customer loyalty (Y2).
Ha: There is a direct influence between product innovation (X1) on
customer loyalty (Y2).
The results of the SPSS calculation obtained t count of -
3.345. While the significant level of 0.05 and the degree of
freedom (DK) with the provisions: DK = n-2, or 100-2 = 98
produces a t table of 1.984. With hypothesis test criteria: If t count
> t table then Ho is rejected and Ha is accepted. If t count <t table
then Ho is accepted and Ha is rejected. Based on the results of
these studies, obtained the number t count of -3.345 < t table 1.984
so that Ho is accepted and Ha is rejected. This means that there is
no a direct influence between product innovation (X1) on customer
loyalty (Y2). The magnitude of the effect of product innovation on
purchase intention is 0.263 or 26.3%. While the rest (100% -
26.3% = 73.7%) is explained by other variables.
b.) The Influence between autobiographical memory (X2) toward
customer loyalty (Y2)
Ho: There is no direct influence between autobiographical memory
(X2) toward customer loyalty (Y2)
Ha: There is a direct influence between autobiographical memory
(X2) toward customer loyalty (Y2)
The results of the SPSS calculation obtained t count of 8.621.
While the significant level of 0.05 and the degree of freedom (DK)
with the provisions: DK = n-2, or 100-2 = 98 produces a t table of
8.621. With hypothesis test criteria: If t count > t table then Ho is
rejected and Ha is accepted. If t count <t table then Ho is accepted
and Ha is rejected. Based on the results of these studies, obtained
98
the number t count of 8.621 > t table 1.984 so that Ho is rejected
and Ha is accepted. This means that there is a direct influence
between autobiographical memory (X2) on customer loyalty (Y2).
The magnitude of the effect of autobiographical memory on
customer loyalty is 0.705 or 70.5%. While the rest (100% - 70.6%
= 29.5%) is explained by other variables.
c.) The Influence between purchase intention (Y1) toward customer
loyalty (Y2)
Ho: There is no direct influence between purchase intention (Y1)
toward customer loyalty (Y2).
Ha: There is a direct influence between purchase intention (Y1)
toward customer loyalty (Y2).
The results of the SPSS calculation obtained t count of 2.075.
While the significant level of 0.05 and the degree of freedom (DK)
with the provisions: DK = n-2, or 100-2 = 98 produces a t table of
1.984. With hypothesis test criteria: If t count> t table then Ho is
rejected and Ha is accepted. If t count <t table then Ho is accepted
and Ha is rejected. Based on the results of these studies, obtained
the number t count of 2.075 > t table 1.984 so that Ho is rejected
and Ha is accepted. This means that there is a direct influence
between purchase intention (Y1) toward customer loyalty (Y2). The
magnitude of the effect of purchase intention on customer loyalty
is 0.178 or 17.8%. While the rest (100% - 17.8% = 82.2%) is
explained by other variables.
99
3. Correlation Analysis
Correlation between service product innovation, autobiographical memory,
purchase intention and customer loyalty can be seen in the table below:
Table 4.48
Correlations
Correlations
Total X1 Total X2 Total Y1 Total Y2
Total X1 Pearson Correlation 1 .371** .465
** .081
Sig. (2-tailed) .000 .000 .420
N 100 100 100 100
Total X2 Pearson Correlation .371** 1 .525
** .701
**
Sig. (2-tailed) .000 .000 .000
N 100 100 100 100
Total Y1 Pearson Correlation .465** .525
** 1 .426
**
Sig. (2-tailed) .000 .000 .000
N 100 100 100 100
Total Y2 Pearson Correlation .081 .701** .426
** 1
Sig. (2-tailed) .420 .000 .000
N 100 100 100 100
**. Correlation is significant at the 0.01 level (2-tailed).
a. Correlation between product innovation (X1) and autobiographical
memory (X2)
Based on the calculation, the correlation number between product
innovation variables and autobiographical memory is 0.371. To
interpret these numbers, the following criteria are used :
0.80 - 1,000: very strong correlation
0.60 - 0.799: strong correlation
0.40 - 0.599: the correlation is quite strong
0.20 - 0.399: low correlation
0,00 - 0,199: very low correlation
100
The correlation of 0.371 has the intention of the relationship
between product innovation variables and autobiographical memory
has a low and unidirectional correlation (because the results are
positive). Unidirectional meaning if high product innovation,
autobiographical memory is high. The correlation of the two variables
is significant because the significant number at 0,000 < 0,05. If the
significant number (sig.) < 0.05, then the relationship between the two
variables is significant, whereas if the significant number (sig.) > 0.05
then the relationship between the two variables is not significant.
b. Correlation between product innovation (X1) and purchase intention
(Y1)
Based on the calculation, the correlation number between product
innovation variables and purchase intention is 0.465. To interpret these
numbers, the following criteria are used :
0.80 - 1,000: very strong correlation
0.60 - 0.799: strong correlation
0.40 - 0.599: the correlation is quite strong
0.20 - 0.399: low correlation
0,00 - 0,199: very low correlation
The correlation of 0.465 has the intention of the relationship
between product innovation variables and purchase intention has a
quite strong and unidirectional correlation (because the results are
positive). Unidirectional meaning if high product innovation, purchase
intention is high. The correlation of the two variables is significant
because the significant number at 0,000 < 0,05. If the significant
number (sig.) < 0.05, then the relationship between the two variables is
significant, whereas if the significant number (sig.) > 0.05 then the
relationship between the two variables is not significant.
101
c. Correlation between product innovation (X1) and customer loyalty
(Y2)
Based on the calculation, the correlation number between product
innovation variables and customer loyalty is 0.081. To interpret these
numbers, the following criteria are used :
0.80 - 1,000: very strong correlation
0.60 - 0.799: strong correlation
0.40 - 0.599: the correlation is quite strong
0.20 - 0.399: low correlation
0,00 - 0,199: very low correlation
The correlation of 0.081 has the intention of the relationship
between product innovation variables and customer loyalty has a very
low and unidirectional correlation (because the results are positive).
Unidirectional meaning if high product innovation, customer loyalty is
high. The correlation of the two variables is’nt significant because the
significant number at 0,420 > 0,05. If the significant number (sig.) <
0.05, then the relationship between the two variables is significant,
whereas if the significant number (sig.) > 0.05 then the relationship
between the two variables is not significant.
d. Correlation between autobiographical memory (X2) and purchase
intention (Y1)
Based on the calculation, the correlation number between
autobiographical memory variables and purchase intention is 0.525.
To interpret these numbers, the following criteria are used :
0.80 - 1,000: very strong correlation
0.60 - 0.799: strong correlation
0.40 - 0.599: the correlation is quite strong
0.20 - 0.399: low correlation
0,00 - 0,199: very low correlation
The correlation of 0.525 has the intention of the relationship
between autobiographical memory variables and purchase intention
102
has a quite strong and unidirectional correlation (because the results
are positive). Unidirectional meaning if high autobiographical
memory, purchase intention is high. The correlation of the two
variables is significant because the significant number at 0,000 < 0,05.
If the significant number (sig.) < 0.05, then the relationship between
the two variables is significant, whereas if the significant number (sig.)
> 0.05 then the relationship between the two variables is not
significant.
e. Correlation between autobiographical memory (X2) and customer
loyalty (Y2)
Based on the calculation, the correlation number between
autobiographical memory variables and customer loyalty is 0.701. To
interpret these numbers, the following criteria are used :
0.80 - 1,000: very strong correlation
0.60 - 0.799: strong correlation
0.40 - 0.599: the correlation is quite strong
0.20 - 0.399: low correlation
0,00 - 0,199: very low correlation
The correlation of 0.701 has the intention of the relationship
between autobiographical memory variables and customer loyalty has
a quite strong and unidirectional correlation (because the results are
positive). Unidirectional meaning if high autobiographical memory,
customer loyalty is high. The correlation of the two variables is
significant because the significant number at 0,000 < 0,05. If the
significant number (sig.) < 0.05, then the relationship between the two
variables is significant, whereas if the significant number (sig.) > 0.05
then the relationship between the two variables is not significant.
103
f. Correlation between purchase intention (Y1) and customer loyalty
(Y2)
Based on the calculation, the correlation number between product
innovation variables and customer loyalty is 0.426. To interpret these
numbers, the following criteria are used :
0.80 - 1,000: very strong correlation
0.60 - 0.799: strong correlation
0.40 - 0.599: the correlation is quite strong
0.20 - 0.399: low correlation
0,00 - 0,199: very low correlation
The correlation of 0.426 has the intention of the relationship
between purchase intention variables and customer loyalty has a quite
strong and unidirectional correlation (because the results are positive).
Unidirectional meaning if high purchase intention, customer loyalty is
high. The correlation of the two variables is significant because the
significant number at 0,000 < 0,05. If the significant number (sig.) <
0.05, then the relationship between the two variables is significant,
whereas if the significant number (sig.) > 0.05 then the relationship
between the two variables is not significant.
104
Figure 4.1 : Path Analysis model
0.80
0.672
0.465 0.081
0.371 0.426
0.525 0.701
Structural equation can be structured as follows :
Y1 = 0.465 + 0.525 + 0.80
Y2 = 0.081 + 0.701 + 0.426 + 0.672
4. Influence Calculation
a. Direct Effect (DE)
To calculate the direct effect, use the following formula:
1. Effect of product innovation variables on purchase intention
X1 → Y = 0.465
2. Effect of autobiographical memory on purchase intention
X2 → Y = 0.525
3. The influence of service quality on customer loyalty
X1 → Z = 0.351
4. The influence between autobiographical memory on customer
loyalty
X2 → Y2 = 0.701
Product
Innovation
(X1)
Autobiographical
Memory
(X2)
(X2)
Purchase
Intention
(Y1)
Customer Loyalty
(Y2)
105
5. The influence of purchase intention on customer loyalty
Y1 → Y2 = 0.426
b. Indirect Effect (IE)
To calculate the direct effect, use the following formula:
1. The invluence of product innovation variables on customer loyalty
through purchase intention X1 → Y1 → Y2 = (0.465 x 0.426) =
0.19809
2. The invluence of autobiographical memory variables on customer
loyalty through purchase intention X2 → Y1 → Y2 = (0.525 x
0.426) = 0.22365
c. Total Effect
To calculate the direct effect, use the following formula:
1. The invluence of product innovation variables on customer loyalty
through purchase intention X1 → Y1 → Y2 = (0.465 + 0.426) =
0.891
2. The invluence of autobiographical memory variables on customer
loyalty through purchase intention X2 → Y1 → Y2 = (0.525 +
0.426) = 0.951
106
CHAPTER V
CONCLUSION AND SUGGESTION
A. Conclusions
Based on the results of analysis and discussion in the previous chapter then
obtained conclusions regarding, the influence of product innovation and
autobiographical memory to purchase intention that impacts to customer
loyalty. These conclusions include are :
1. product innovation (X1) has influence on purchase intention (Y1)
partially.
2. autobiographical memory (X2) has influence on purchase intention
(Y1) partially.
3. product innovation (X1) and autobiographical memory (X2) have
influence on purchase intention (Y1) simultaneously.
4. product innovation (X1) not influence on customer loyalty (Y2)
partially.
5. autobiographical memory (X2) has influence on customer loyalty (Y2)
partially.
6. purchase intention (Y1) has influence on customer loyalty (Y2)
partially.
7. product innovation (X1), autobiographical memory (X2), and
purchase intention (Y1) have influence on variable customer loyalty
(Y2) simultaneously.
107
B. Suggestion
Based on the results of the analysis and the conclusions above, obtained
some of the implications of the results of this research, such as :
1. For Company
a. Product Innovation
Product innovation is the most important thing for companies to
always follow market needs that are increasingly growing. but there
are exceptions in the fashion industry. from data that has been
summarized with 100 respondents, the data shows that there is no
relationship between product innovation and consumer loyalty.
developments in the fashion industry only revolve around things that
have been done before. representation of the product will also be lost if
the product innovates, resulting consumers being disloyal.
b. Autobiographical Memory
autobiographical memory, is long-term memory that occurs
continuously. Our childhood experience with converse resulted in
future memories that the product has the same quality as the past. This
causes us to be interested in buying a product that we have
remembered and being loyal to the product
c. Purchase Intention
factors that influence purchase intention are autobiographical
memory and innovation products. Buying intention can also affect
loyalty, purchasing decisions are the result of a plan, analysis and
evaluation of a product, and the results of these decisions are mostly
derived from the innovation that the product has created as well as
someone's experience with the product.
108
d. Customer Loyalty
Customer loyalty is last factor in measuring product innovation,
autobiographical memory, and purchase intention. In this research,
customer loyalty of converse sneakers gets from autobiographical
memory and purchase intention. It means, customer loyalty of
Converse sneakers can be affected by two factors which is
autobiographical memory and purchase intention. Cognitive loyalty
and affective loyalty are main sector to be repaired, So Converse
company need to keep maintain the product quality and brand of the
product itself.
2. For Reader
This research is expected to produce one reference in providing
new information for students in their writing research. And other
researchers can add more research data, so that it will produce better
data.
109
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112
Attachment I : Research Questioner
THE INFLUENCE OF PRODUCT INNOVATION AND
AUTOBIOGHRAPHICAL MEMORY TOWARD PURCHASE
INTENTION THAT IMPACT ON CONVERSE SNEAKERS CUSTOMER
LOYALTY
Regarding to finish the program of Bachelor Degree Faculty Economics
and Business Syarif Hidayatullah State Islamic University Jakarta, who is writing
this thesis as a requirement to get Bachelor Degree of Economic :
Name : Rendy Budi Kusuma
NIM : 1113081100004
Major : Management
Faculty: Economics and Business
I will do research about “THE INFLUENCE OF PRODUCT INNOVATION
AND AUTOBIOGHRAPHICAL MEMORY TOWARD PURCHASE
INTENTION THAT IMPACT ON CONVERSE SNEAKERS CUSTOMER
LOYALTY”. Therefore, I wish Mr/Mrs/Brother/Sister are willing to fill out this
questioner.
113
Penyaringan Pertanyaan
Sebelum mengisi kuesioner mohon kesediaan Bapak/Ibu/Saudara/
Saudariuntuk melengkapi daftar periksa dengan menandai sebuah tanda silang (√)
di kotak yang sesuai :
1. Apakah anda pernah membeli sepatu Converse ?
Ya Tidak
Jika “Ya”, silahkan lanjutkan ke pernyataan berikutnya.
Jika “Tidak”, tolong berhenti menjawab dan terimakasih atas partisipasi
anda.
Identitas Responden
Gender : Laki – Laki Perempuan
Umur : 11 – 20 Thn 31 – 40 Thn
21 – 30 Thn 41 – 50 Thn
Pekerjaan : 1. Pegawai Negeri 4. Pelajar
2. Karyawan Swasta 5. Lain – Lain
3. Wiraswasta
Pendapatan Per Bulan :
1. Rp 500.000 – Rp 999.999
2. Rp 1.000.000 – Rp 1.499.999
3. Rp 1.500.000 – Rp 1.999.999
4. > Rp 2.000.000
114
Petunjuk Pengisian
Isi dan jawablah pernyataan-pernyataan di bawah ini sesuai dengan
pilihandan pendapat anda, beri tanda ceklis (√) di kolom yang sesuai pada:
1 2 3 4 5
STS TS R S SS
Keterangan :
1. STS : Sangat tidak setuju
2. TS : Tidak setuju
3. R : Ragu – Ragu
4. S : Setuju
5. SS : Sangat Setuju
Product Innovation (X1)
No. Pernyataan STS TS R S SS
1
Saya rasa dengan adanya Converse Chuck
Taylor II dengan sol lunarlon dapat
menambah kenyamanan saat memakainya
2 Saya merasa ada kebangaan tersendiri saat
menggunakan Converse Chuck Taylor II
3
Converse Chuck Taylor II / Chuck Taylor
Flyknit memiliki desain yang unik bila
dibandingkan denga desain terdahulu
4
Saya rasa kualitas dari produk terbaru
Converse Chuck Taylor II lebih baik bila
dibandingkan kualitas terdahulu
5
Saya rasa harga yang saya keluarkan untuk
membeli Converse Chuck Taylor II sesuai
dengan apa yang saya dapatkan
6 Kemungkinan lecet saat menggunakan
115
Converse Chuck Taylor II lebih sedikit
karna bahanya yang berbusa dan bukan
kanfas
7 Butuh ketrampilan baru untuk menggunakan
Converse CT II
8 Converse CT II lebih terkenal disbanding
produk converse lainnya
Autobiographical Memory (X2)
No. Pernyataan STS TS R S SS
1 Saya terkesan dengan Converse karna orang
lain membicarakannya
2 Saya terkesan dengan Converse saat
pengalaman pertama menggunakannya
3 Dari dulu saya terkesan dengan desain
Converse Chuck Taylor
4 Saya terkesan terhadap logo dari Converse
5 Saya ingat dari dulu Converse adalah sepatu
favorit saya
6 Saya menyukai sepatu Converse jika
dibandingkan dengan sepatu yang lainnya
7 Dari dulu saya merasa nyaman saat
menggunakan sepatu Converse
8
Saya menyukai sepatu Converse Chuck
Taylor karna desainnya yang khas dan tidak
pernah berubah dari dulu
116
Purchase Intention (Y1)
No. Pernyataan STS TS R S SS
1
Tertarik untuk mencari informasi lengkap
mengenai Converse Chuck Taylor II / Chuck
Taylor Flyknit
2
Harga, dan kualitas Converse CT II menjadi
alasan pertimbangan dalam membeli produk
tersebut
3
Saya berkeinginan untuk mencoba inovasi
terbaru Converse Chuck Taylor II / Chuck
Taylor Flyknit
4
Tertarik untuk mengetahui lebih lanjut
mengenai Converse Chuck Taylor II / Chuck
Taylor Flyknit
5
Saya berkeinginan untuk membeli inovasi
terbaru Converse Chuck Taylor II / Chuck
Taylor Flyknit
Customer Loyalty (Y2)
No. Pernyataan STS TS R S SS
1 Saya merasa sepatu Converse adalah yang
terbaik disbanding brand lainnya
2 Saya merasa Converse memiliki kualitas
yang sangat baik
3
Saya tertarik untuk mengkoleksi jenis – jenis
sepatu Converse dengan motif dan warna
yang berbeda beda
4 Saat menggunakan sepatu Converse dapat
117
meningkatkan kepercayaan diri saya
5
Saat menggunakan sepatu Converse tersebut
melambangkan jati diri saya yang
sebenarnya
6 Saya sudah terbiasa dari dulu menggunakan
sepatu Converse
7
Saya akan membeli kembali sepatu
Converse apabila sepatu yang saya miliki
sudah mulai rusak
8
Saya akan merekomendasikan sepatu
Converse kepada keluarga, teman atau
kerabat untuk membeli produk tersebut
Attachment II : Result of Output SPSS 17 for windows
118
A. Distribution Answer of Respondents
NO Product Innovation (X1)
Q1 Q2 Q3 Q4 Q5 Q6 Q7 Q8
1 5 2 2 4 2 5 3 1
2 4 4 4 4 5 4 4 3
3 5 5 5 5 5 5 4 5
4 3 3 4 4 5 4 5 4
5 2 3 3 3 3 3 3 2
6 4 3 4 3 4 3 3 3
7 2 3 5 3 1 4 5 5
8 5 2 3 1 4 2 4 1
9 4 4 4 4 4 4 4 2
10 4 4 4 1 1 4 3 3
11 3 3 2 2 2 3 3 1
12 3 3 2 2 2 2 3 1
13 5 4 4 4 5 4 4 4
14 3 4 4 4 3 3 2 3
15 4 3 3 3 3 4 3 3
16 4 3 3 3 4 3 4 3
17 3 3 4 4 3 4 2 4
18 4 4 2 3 4 4 1 5
19 4 4 3 3 5 5 4 4
20 4 4 5 4 4 4 4 4
21 4 4 3 4 4 5 3 1
22 5 3 2 5 4 5 3 3
23 4 5 3 5 4 4 1 5
24 3 3 3 3 3 3 3 3
25 3 3 3 3 3 3 3 3
26 5 5 4 5 4 4 3 3
119
27 5 4 2 4 5 4 2 3
28 5 1 2 4 4 5 3 3
29 3 3 3 3 3 3 3 3
30 3 3 3 3 3 3 3 3
31 4 3 4 4 3 3 2 3
32 5 4 4 4 1 4 5 3
33 5 5 5 5 5 1 1 3
34 4 3 3 4 3 3 3 3
35 2 1 1 1 1 1 1 1
36 1 1 1 1 1 2 2 1
37 1 1 1 1 1 2 2 1
38 3 5 3 3 3 4 3 3
39 5 2 5 5 4 2 3 4
40 5 5 5 5 5 4 2 4
41 3 2 2 2 2 2 2 1
42 4 4 3 3 4 4 3 4
43 3 3 2 3 2 4 3 4
44 5 2 2 4 2 5 3 1
45 4 4 4 4 5 4 4 3
46 5 5 5 5 5 5 4 5
47 3 3 4 4 5 4 5 4
48 2 3 3 3 3 3 3 2
49 4 3 4 3 4 3 3 3
50 5 2 2 4 2 5 3 1
51 5 2 2 4 2 5 3 1
52 4 4 4 4 5 4 4 3
53 5 5 5 5 5 5 4 5
54 3 3 4 4 5 4 5 4
55 2 3 3 3 3 3 3 2
56 4 3 4 3 4 3 3 3
120
57 2 3 5 3 1 4 5 5
58 5 2 3 1 4 2 4 1
59 4 4 4 4 4 4 4 2
60 4 4 4 1 1 4 3 3
61 3 3 2 2 2 3 3 1
62 3 3 2 2 2 2 3 1
63 5 4 4 4 5 4 4 4
64 3 4 4 4 3 3 2 3
65 4 3 3 3 3 4 3 3
66 4 3 3 3 4 3 4 3
67 3 3 4 4 3 4 2 4
68 4 4 2 3 4 4 1 5
69 4 4 3 3 5 5 4 4
70 4 4 5 4 4 4 4 4
71 4 4 3 4 4 5 3 1
72 5 3 2 5 4 5 3 3
73 4 5 3 5 4 4 1 5
74 3 3 3 3 3 3 3 3
75 3 3 3 3 3 3 3 3
76 5 5 4 5 4 4 3 3
77 5 4 2 4 5 4 2 3
78 5 1 2 4 4 5 3 3
79 3 3 3 3 3 3 3 3
80 3 3 3 3 3 3 3 3
81 4 3 4 4 3 3 2 3
82 5 4 4 4 1 4 5 3
83 5 5 5 5 5 1 1 3
84 4 3 3 4 3 3 3 3
85 2 1 1 1 1 1 1 1
86 1 1 1 1 1 2 2 1
121
87 1 1 1 1 1 2 2 1
88 3 5 3 3 3 4 3 3
89 5 2 5 5 4 2 3 4
90 5 5 5 5 5 4 2 4
91 3 2 2 2 2 2 2 1
92 4 4 3 3 4 4 3 4
93 3 3 2 3 2 4 3 4
94 5 2 2 4 2 5 3 1
95 4 4 4 4 5 4 4 3
96 5 5 5 5 5 5 4 5
97 3 3 4 4 5 4 5 4
98 2 3 3 3 3 3 3 2
99 4 3 4 3 4 3 3 3
100 5 4 2 4 5 4 2 3
NO
Autobiographical Memory (X2)
Q1 Q2 Q3 Q4 Q5 Q6 Q7 Q8
1 5 5 5 5 5 5 5 5
2 3 4 5 5 3 4 3 4
3 5 5 4 5 4 5 5 4
4 4 5 4 4 3 5 4 3
5 5 5 5 4 4 4 5 5
6 4 3 3 4 5 5 4 4
7 5 4 2 3 1 1 5 5
8 5 1 4 1 5 3 3 4
9 2 4 4 4 3 3 4 4
10 3 4 4 3 2 2 4 4
11 2 4 2 2 2 1 4 4
122
12 3 4 4 4 3 3 4 4
13 3 5 3 2 4 3 3 3
14 3 4 3 5 4 4 3 3
15 3 3 3 3 3 3 3 4
16 4 2 2 4 4 4 4 3
17 1 1 3 2 1 1 3 3
18 4 1 2 5 1 4 1 4
19 2 4 3 3 2 3 5 5
20 3 4 4 4 3 3 4 4
21 5 4 2 4 2 2 5 3
22 4 4 5 5 4 4 4 4
23 3 2 5 5 2 4 5 5
24 3 3 3 3 3 3 3 3
25 3 3 3 3 3 3 3 3
26 4 4 4 4 4 4 4 4
27 3 4 5 5 4 4 4 4
28 1 1 1 3 1 1 1 3
29 3 3 3 3 3 3 3 3
30 3 3 3 3 3 3 3 3
31 3 3 4 4 3 2 3 4
32 5 5 1 1 1 4 2 5
33 3 4 4 4 5 4 4 4
34 2 3 3 3 3 3 3 3
35 2 2 2 2 2 3 1 4
36 2 4 2 2 5 2 2 1
37 2 4 2 2 5 2 2 1
38 3 3 3 3 3 3 3 3
39 2 3 2 3 1 1 3 4
40 5 5 3 3 3 4 3 3
41 1 5 5 5 3 2 4 5
123
42 4 4 5 5 4 5 4 5
43 4 5 3 3 3 3 4 4
44 5 5 5 5 5 5 5 5
45 3 4 5 5 3 4 3 4
46 5 5 4 5 4 5 5 4
47 4 5 4 4 3 5 4 3
48 5 5 5 4 4 4 5 5
49 4 3 3 4 5 5 4 4
50 3 4 5 5 4 4 4 4
51 5 5 5 5 5 5 5 5
52 3 4 5 5 3 4 3 4
53 5 5 4 5 4 5 5 4
54 4 5 4 4 3 5 4 3
55 5 5 5 4 4 4 5 5
56 4 3 3 4 5 5 4 4
57 5 4 2 3 1 1 5 5
58 5 1 4 1 5 3 3 4
59 2 4 4 4 3 3 4 4
60 3 4 4 3 2 2 4 4
61 2 4 2 2 2 1 4 4
62 3 4 4 4 3 3 4 4
63 3 5 3 2 4 3 3 3
64 3 4 3 5 4 4 3 3
65 3 3 3 3 3 3 3 4
66 4 2 2 4 4 4 4 3
67 1 1 3 2 1 1 3 3
68 4 1 2 5 1 4 1 4
69 2 4 3 3 2 3 5 5
70 3 4 4 4 3 3 4 4
71 5 4 2 4 2 2 5 3
124
72 4 4 5 5 4 4 4 4
73 3 2 5 5 2 4 5 5
74 3 3 3 3 3 3 3 3
75 3 3 3 3 3 3 3 3
76 4 4 4 4 4 4 4 4
77 3 4 5 5 4 4 4 4
78 1 1 1 3 1 1 1 3
79 3 3 3 3 3 3 3 3
80 3 3 3 3 3 3 3 3
81 3 3 4 4 3 2 3 4
82 5 5 1 1 1 4 2 5
83 3 4 4 4 5 4 4 4
84 2 3 3 3 3 3 3 3
85 2 2 2 2 2 3 1 4
86 2 4 2 2 5 2 2 1
87 2 4 2 2 5 2 2 1
88 3 3 3 3 3 3 3 3
89 2 3 2 3 1 1 3 4
90 5 5 3 3 3 4 3 3
91 1 5 5 5 3 2 4 5
92 4 4 5 5 4 5 4 5
93 4 5 3 3 3 3 4 4
94 5 5 5 5 5 5 5 5
95 3 4 5 5 3 4 3 4
96 5 5 4 5 4 5 5 4
97 4 5 4 4 3 5 4 3
98 5 5 5 4 4 4 5 5
99 4 3 3 4 5 5 4 4
100 3 4 5 5 4 4 4 4
125
NO
Purchase Intention (Y1)
Q1 Q2 Q3 Q4 Q5
1 2 2 3 2 2
2 4 3 5 4 5
3 5 5 4 5 5
4 4 3 4 3 5
5 4 4 5 5 5
6 4 3 4 4 5
7 4 1 2 3 3
8 3 5 3 3 2
9 2 4 4 3 3
10 4 5 2 3 2
11 3 4 4 3 3
12 2 4 2 2 2
13 3 4 4 4 4
14 4 5 3 4 3
15 3 3 3 3 3
16 4 4 4 3 4
17 1 2 2 1 1
18 2 5 4 4 3
126
19 3 3 3 3 3
20 4 4 3 3 3
21 3 4 4 4 4
22 3 4 4 2 2
23 2 4 4 3 5
24 3 3 3 3 3
25 3 3 3 3 3
26 4 5 4 5 4
27 5 4 4 4 4
28 1 3 1 1 1
29 3 3 3 3 3
30 3 3 3 3 3
31 2 3 3 3 3
32 5 5 5 5 4
33 4 5 5 5 4
34 2 4 3 2 3
35 1 2 1 1 1
36 5 3 3 3 3
37 5 3 3 3 3
38 2 3 3 3 3
127
39 3 3 3 2 3
40 3 5 3 3 3
41 1 5 1 1 1
42 4 4 4 4 4
43 3 3 3 4 3
44 2 2 3 2 2
45 4 3 5 4 5
46 5 5 4 5 5
47 4 3 4 3 5
48 4 4 5 5 5
49 4 3 4 4 5
50 5 4 4 4 4
51 2 2 3 2 2
52 4 3 5 4 5
53 5 5 4 5 5
54 4 3 4 3 5
55 4 4 5 5 5
56 4 3 4 4 5
57 4 1 2 3 3
58 3 5 3 3 2
128
59 2 4 4 3 3
60 4 5 2 3 2
61 3 4 4 3 3
62 2 4 2 2 2
63 3 4 4 4 4
64 4 5 3 4 3
65 3 3 3 3 3
66 4 4 4 3 4
67 1 2 2 1 1
68 2 5 4 4 3
69 3 3 3 3 3
70 4 4 3 3 3
71 3 4 4 4 4
72 3 4 4 2 2
73 2 4 4 3 5
74 3 3 3 3 3
75 3 3 3 3 3
76 4 5 4 5 4
77 5 4 4 4 4
78 1 3 1 1 1
129
79 3 3 3 3 3
80 3 3 3 3 3
81 2 3 3 3 3
82 5 5 5 5 4
83 4 5 5 5 4
84 2 4 3 2 3
85 1 2 1 1 1
86 5 3 3 3 3
87 5 3 3 3 3
88 2 3 3 3 3
89 3 3 3 2 3
90 3 5 3 3 3
91 1 5 1 1 1
92 4 4 4 4 4
93 3 3 3 4 3
94 2 2 3 2 2
95 4 3 5 4 5
96 5 5 4 5 5
97 4 3 4 3 5
98 4 4 5 5 5
130
99 4 3 4 4 5
100 5 4 4 4 4
NO
Customer Loyalty (Y2)
Q1 Q2 Q3 Q4 Q5 Q6 Q7 Q8
1 5 5 5 5 5 5 5 5
2 4 5 5 4 4 4 5 4
3 5 5 4 4 5 5 4 5
4 4 5 4 4 4 3 4 5
5 5 5 5 4 5 5 2 4
6 4 3 5 4 3 3 4 5
7 5 3 2 2 5 3 3 5
8 3 3 5 3 5 5 4 2
9 3 4 4 3 2 3 4 4
10 2 3 2 4 2 3 3 3
11 1 4 3 4 1 3 3 4
12 4 4 5 4 4 4 3 3
13 3 3 4 3 2 3 3 4
14 3 3 3 4 3 3 3 4
15 3 3 3 3 3 3 3 3
131
16 3 3 3 4 4 4 3 3
17 1 3 1 4 1 3 1 1
18 3 4 1 4 3 1 1 3
19 3 4 4 3 3 3 4 4
20 3 4 3 4 3 3 3 4
21 2 5 4 4 2 1 4 4
22 5 5 4 4 4 4 4 4
23 2 5 1 5 1 5 5 3
24 3 3 3 3 3 3 3 3
25 3 3 3 3 3 3 3 3
26 4 4 5 5 5 5 4 4
27 5 5 3 4 4 4 4 4
28 1 3 1 1 1 1 2 1
29 3 3 3 3 3 3 3 3
30 3 3 3 3 3 3 3 3
31 2 3 3 3 3 3 3 3
32 4 5 4 4 5 4 4 4
33 3 4 3 3 4 4 3 3
34 3 3 3 3 3 3 3 3
35 5 5 5 5 5 5 5 5
132
36 3 4 3 4 3 2 5 3
37 3 4 3 4 3 2 5 3
38 3 3 3 3 3 3 4 3
39 1 3 2 1 1 2 1 1
40 4 4 1 2 2 2 2 1
41 2 3 1 3 2 2 1 1
42 4 4 4 4 4 4 4 4
43 3 3 4 4 3 3 3 4
44 5 5 5 5 5 5 5 5
45 4 5 5 4 4 4 5 4
46 5 5 4 4 5 5 4 5
47 4 5 4 4 4 3 4 5
48 5 5 5 4 5 5 2 4
49 4 3 5 4 3 3 4 5
50 5 5 3 4 4 4 4 4
51 5 5 5 5 5 5 5 5
52 4 5 5 4 4 4 5 4
53 5 5 4 4 5 5 4 5
54 4 5 4 4 4 3 4 5
55 5 5 5 4 5 5 2 4
133
56 4 3 5 4 3 3 4 5
57 5 3 2 2 5 3 3 5
58 3 3 5 3 5 5 4 2
59 3 4 4 3 2 3 4 4
60 2 3 2 4 2 3 3 3
61 1 4 3 4 1 3 3 4
62 4 4 5 4 4 4 3 3
63 3 3 4 3 2 3 3 4
64 3 3 3 4 3 3 3 4
65 3 3 3 3 3 3 3 3
66 3 3 3 4 4 4 3 3
67 1 3 1 4 1 3 1 1
68 3 4 1 4 3 1 1 3
69 3 4 4 3 3 3 4 4
70 3 4 3 4 3 3 3 4
71 2 5 4 4 2 1 4 4
72 5 5 4 4 4 4 4 4
73 2 5 1 5 1 5 5 3
74 3 3 3 3 3 3 3 3
75 3 3 3 3 3 3 3 3
134
76 4 4 5 5 5 5 4 4
77 5 5 3 4 4 4 4 4
78 1 3 1 1 1 1 2 1
79 3 3 3 3 3 3 3 3
80 3 3 3 3 3 3 3 3
81 2 3 3 3 3 3 3 3
82 4 5 4 4 5 4 4 4
83 3 4 3 3 4 4 3 3
84 3 3 3 3 3 3 3 3
85 5 5 5 5 5 5 5 5
86 3 4 3 4 3 2 5 3
87 3 4 3 4 3 2 5 3
88 3 3 3 3 3 3 4 3
89 1 3 2 1 1 2 1 1
90 4 4 1 2 2 2 2 1
91 2 3 1 3 2 2 1 1
92 4 4 4 4 4 4 4 4
93 3 3 4 4 3 3 3 4
94 5 5 5 5 5 5 5 5
95 4 5 5 4 4 4 5 4
135
96 5 5 4 4 5 5 4 5
97 4 5 4 4 4 3 4 5
98 5 5 5 4 5 5 2 4
99 4 3 5 4 3 3 4 5
100 5 5 3 4 4 4 4 4
136
B. Reliability Test (All Variable)
Reliability Statistics
Cronbach's
Alpha N of Items
.718 8
Reliability Statistics
Cronbach's
Alpha N of Items
.832 8
Reliability Statistics
Cronbach's
Alpha N of Items
.850 5
Reliability Statistics
Cronbach's
Alpha N of Items
.870 8
137
C. Validity Test
Correlations
X1.1 X1.2 X1.3 X1.4 X1.5 X1.6 X1.7 X1.8
Total
X1
X1.1 Pearson
Correlation 1 .127 -.147 .333 .521
** .477
** -.046 -.026 .465
**
Sig. (2-tailed) .505 .439 .072 .003 .008 .808 .892 .010
N 30 30 30 30 30 30 30 30 30
X1.2 Pearson
Correlation .127 1 .441
* .400
* .326 .216 -.162 .431
* .596
**
Sig. (2-tailed) .505 .015 .028 .079 .253 .391 .017 .001
N 30 30 30 30 30 30 30 30 30
X1.3 Pearson
Correlation -.147 .441
* 1 .194 .088 .079 .487
** .472
** .562
**
Sig. (2-tailed) .439 .015 .304 .645 .677 .006 .008 .001
N 30 30 30 30 30 30 30 30 30
X1.4 Pearson
Correlation .333 .400
* .194 1 .527
** .619
** -.111 .397
* .731
**
Sig. (2-tailed) .072 .028 .304 .003 .000 .561 .030 .000
N 30 30 30 30 30 30 30 30 30
X1.5 Pearson
Correlation .521
** .326 .088 .527
** 1 .309 .106 .286 .699
**
Sig. (2-tailed) .003 .079 .645 .003 .097 .576 .126 .000
N 30 30 30 30 30 30 30 30 30
X1.6 Pearson
Correlation .477
** .216 .079 .619
** .309 1 .049 .338 .649
**
Sig. (2-tailed) .008 .253 .677 .000 .097 .796 .068 .000
N 30 30 30 30 30 30 30 30 30
X1.7 Pearson
Correlation -.046 -.162 .487
** -.111 .106 .049 1 -.035 .264
Sig. (2-tailed) .808 .391 .006 .561 .576 .796 .855 .158
N 30 30 30 30 30 30 30 30 30
138
X1.8 Pearson
Correlation -.026 .431
* .472
** .397
* .286 .338 -.035 1 .650
**
Sig. (2-tailed) .892 .017 .008 .030 .126 .068 .855 .000
N 30 30 30 30 30 30 30 30 30
Total
X1
Pearson
Correlation .465
** .596
** .562
** .731
** .699
** .649
** .264 .650
** 1
Sig. (2-tailed) .010 .001 .001 .000 .000 .000 .158 .000
N 30 30 30 30 30 30 30 30 30
**. Correlation is significant at the 0.01 level (2-
tailed).
*. Correlation is significant at the 0.05 level (2-
tailed).
Correlations
X2.1 X2.2 X2.3 X2.4 X2.5 X2.6 X2.7 X2.8
Total
X2
X2.1 Pearson
Correlation 1 .323 .255 .298 .479
** .497
** .443
* .308 .668
**
Sig. (2-tailed) .082 .173 .110 .007 .005 .014 .098 .000
N 30 30 30 30 30 30 30 30 30
X2.2 Pearson
Correlation .323 1 .434
* .311 .361
* .322 .624
** .255 .685
**
Sig. (2-tailed) .082 .017 .094 .050 .082 .000 .174 .000
N 30 30 30 30 30 30 30 30 30
X2.3 Pearson
Correlation .255 .434
* 1 .438
* .514
** .574
** .441
* .463
** .755
**
Sig. (2-tailed) .173 .017 .016 .004 .001 .015 .010 .000
N 30 30 30 30 30 30 30 30 30
X2.4 Pearson
Correlation .298 .311 .438
* 1 .195 .669
** .239 .265 .632
**
Sig. (2-tailed) .110 .094 .016 .303 .000 .203 .157 .000
N 30 30 30 30 30 30 30 30 30
139
X2.5 Pearson
Correlation .479
** .361
* .514
** .195 1 .699
** .256 .049 .686
**
Sig. (2-tailed) .007 .050 .004 .303 .000 .173 .798 .000
N 30 30 30 30 30 30 30 30 30
X2.6 Pearson
Correlation .497
** .322 .574
** .669
** .699
** 1 .222 .178 .789
**
Sig. (2-tailed) .005 .082 .001 .000 .000 .239 .347 .000
N 30 30 30 30 30 30 30 30 30
X2.7 Pearson
Correlation .443
* .624
** .441
* .239 .256 .222 1 .558
** .678
**
Sig. (2-tailed) .014 .000 .015 .203 .173 .239 .001 .000
N 30 30 30 30 30 30 30 30 30
X2.8 Pearson
Correlation .308 .255 .463
** .265 .049 .178 .558
** 1 .509
**
Sig. (2-tailed) .098 .174 .010 .157 .798 .347 .001 .004
N 30 30 30 30 30 30 30 30 30
Total
X2
Pearson
Correlation .668
** .685
** .755
** .632
** .686
** .789
** .678
** .509
** 1
Sig. (2-tailed) .000 .000 .000 .000 .000 .000 .000 .004
N 30 30 30 30 30 30 30 30 30
**. Correlation is significant at the 0.01 level (2-
tailed).
*. Correlation is significant at the 0.05 level (2-
tailed).
Correlations
Y1.1 Y1.2 Y1.3 Y1.4 Y1.5 Total Y1
Y1.1 Pearson Correlation 1 .265 .443* .712
** .625
** .774
**
Sig. (2-tailed) .157 .014 .000 .000 .000
N 30 30 30 30 30 30
Y1.2 Pearson Correlation .265 1 .336 .492** .175 .561
**
Sig. (2-tailed) .157 .070 .006 .356 .001
140
N 30 30 30 30 30 30
Y1.3 Pearson Correlation .443* .336 1 .701
** .795
** .825
**
Sig. (2-tailed) .014 .070 .000 .000 .000
N 30 30 30 30 30 30
Y1.4 Pearson Correlation .712** .492
** .701
** 1 .779
** .932
**
Sig. (2-tailed) .000 .006 .000 .000 .000
N 30 30 30 30 30 30
Y1.5 Pearson Correlation .625** .175 .795
** .779
** 1 .862
**
Sig. (2-tailed) .000 .356 .000 .000 .000
N 30 30 30 30 30 30
Total Y1 Pearson Correlation .774** .561
** .825
** .932
** .862
** 1
Sig. (2-tailed) .000 .001 .000 .000 .000
N 30 30 30 30 30 30
*. Correlation is significant at the 0.05 level (2-tailed).
**. Correlation is significant at the 0.01 level (2-tailed).
Correlations
Y2.1 Y2.2 Y2.3 Y2.4 Y2.5 Y2.6 Y2.7 Y2.8
Total
Y2
Y2.1 Pearson
Correlation 1 .438
* .576
** .234 .872
** .535
** .385
* .675
** .841
**
Sig. (2-tailed) .016 .001 .213 .000 .002 .036 .000 .000
N 30 30 30 30 30 30 30 30 30
Y2.2 Pearson
Correlation .438
* 1 .329 .564
** .274 .344 .502
** .487
** .638
**
Sig. (2-tailed) .016 .076 .001 .143 .063 .005 .006 .000
N 30 30 30 30 30 30 30 30 30
Y2.3 Pearson
Correlation .576
** .329 1 .282 .610
** .493
** .543
** .530
** .779
**
Sig. (2-tailed) .001 .076 .131 .000 .006 .002 .003 .000
N 30 30 30 30 30 30 30 30 30
141
Y2.4 Pearson
Correlation .234 .564
** .282 1 .194 .504
** .354 .360 .556
**
Sig. (2-tailed) .213 .001 .131 .305 .005 .055 .051 .001
N 30 30 30 30 30 30 30 30 30
Y2.5 Pearson
Correlation .872
** .274 .610
** .194 1 .584
** .294 .475
** .784
**
Sig. (2-tailed) .000 .143 .000 .305 .001 .115 .008 .000
N 30 30 30 30 30 30 30 30 30
Y2.6 Pearson
Correlation .535
** .344 .493
** .504
** .584
** 1 .502
** .257 .734
**
Sig. (2-tailed) .002 .063 .006 .005 .001 .005 .170 .000
N 30 30 30 30 30 30 30 30 30
Y2.7 Pearson
Correlation .385
* .502
** .543
** .354 .294 .502
** 1 .545
** .694
**
Sig. (2-tailed) .036 .005 .002 .055 .115 .005 .002 .000
N 30 30 30 30 30 30 30 30 30
Y2.8 Pearson
Correlation .675
** .487
** .530
** .360 .475
** .257 .545
** 1 .742
**
Sig. (2-tailed) .000 .006 .003 .051 .008 .170 .002 .000
N 30 30 30 30 30 30 30 30 30
Total
Y2
Pearson
Correlation .841
** .638
** .779
** .556
** .784
** .734
** .694
** .742
** 1
Sig. (2-tailed) .000 .000 .000 .001 .000 .000 .000 .000
N 30 30 30 30 30 30 30 30 30
*. Correlation is significant at the 0.05 level (2-
tailed).
**. Correlation is significant at the 0.01 level (2-
tailed).
142
D. Coefficient Determination of Substructur
1. (X1,X2)
Model Summary
Model R R Square
Adjusted R
Square
Std. Error of the
Estimate
1 .371a .138 .129 5.730
a. Predictors: (Constant), Total X1
ANOVAb
Model Sum of Squares df Mean Square F Sig.
1 Regression 514.386 1 514.386 15.668 .000a
Residual 3217.454 98 32.831
Total 3731.840 99
a. Predictors: (Constant), Total X1
b. Dependent Variable: Total X2
Coefficientsa
Model
Unstandardized Coefficients
Standardized
Coefficients
t Sig. B Std. Error Beta
1 (Constant) 18.482 2.482 7.447 .000
Total X1 .360 .091 .371 3.958 .000
a. Dependent Variable: Total X2
143
2. X1,X2 = Y1
Model Summary
Model R R Square
Adjusted R
Square
Std. Error of the
Estimate
1 .600a .360 .347 3.563
a. Predictors: (Constant), Total X2, Total X1
ANOVAb
Model Sum of Squares df Mean Square F Sig.
1 Regression 692.426 2 346.213 27.267 .000a
Residual 1231.614 97 12.697
Total 1924.040 99
a. Predictors: (Constant), Total X2, Total X1
b. Dependent Variable: Total Y1
Coefficientsa
Model
Unstandardized Coefficients
Standardized
Coefficients
t Sig. B Std. Error Beta
1 (Constant) 2.847 1.931 1.474 .144
Total X1 .218 .061 .313 3.575 .001
Total X2 .294 .063 .409 4.673 .000
a. Dependent Variable: Total Y1
144
3. X1,X2,Y1 = Y2
Model Summary
Model R R Square
Adjusted R
Square
Std. Error of the
Estimate
1 .740a .548 .534 4.689
a. Predictors: (Constant), Total Y1, Total X1, Total X2
ANOVAb
Model Sum of Squares df Mean Square F Sig.
1 Regression 2561.536 3 853.845 38.842 .000a
Residual 2110.304 96 21.982
Total 4671.840 99
a. Predictors: (Constant), Total Y1, Total X1, Total X2
b. Dependent Variable: Total Y2
Coefficientsa
Model
Unstandardized Coefficients
Standardized
Coefficients
t Sig. B Std. Error Beta
1 (Constant) 8.823 2.570 3.434 .001
Total X1 -.285 .085 -.263 -3.345 .001
Total X2 .789 .091 .705 8.621 .000
Total Y1 .277 .134 .178 2.075 .041
a. Dependent Variable: Total Y2
145
E. Coeficient Corelation
Correlations
Total X1 Total X2 Total Y1 Total Y2
Total X1 Pearson Correlation 1 .371** .465
** .081
Sig. (2-tailed) .000 .000 .420
N 100 100 100 100
Total X2 Pearson Correlation .371** 1 .525
** .701
**
Sig. (2-tailed) .000 .000 .000
N 100 100 100 100
Total Y1 Pearson Correlation .465** .525
** 1 .426
**
Sig. (2-tailed) .000 .000 .000
N 100 100 100 100
Total Y2 Pearson Correlation .081 .701** .426
** 1
Sig. (2-tailed) .420 .000 .000
N 100 100 100 100
**. Correlation is significant at the 0.01 level (2-tailed).
146
F. Coefficient Determination of Substructure
1. (X1,X2 = Y1) T – Test
Model Summary
Model R R Square
Adjusted R
Square
Std. Error of the
Estimate
1 .600a .360 .347 3.563
a. Predictors: (Constant), Total X2, Total X1
ANOVAb
Model Sum of Squares df Mean Square F Sig.
1 Regression 692.426 2 346.213 27.267 .000a
Residual 1231.614 97 12.697
Total 1924.040 99
a. Predictors: (Constant), Total X2, Total X1
b. Dependent Variable: Total Y1
Coefficientsa
Model
Unstandardized Coefficients
Standardized
Coefficients
t Sig. B Std. Error Beta
1 (Constant) 2.847 1.931 1.474 .144
Total X1 .218 .061 .313 3.575 .001
Total X2 .294 .063 .409 4.673 .000
a. Dependent Variable: Total Y1
147
2. (X1,X2,Y1 = Y2) T – Test
Model Summary
Model R R Square
Adjusted R
Square
Std. Error of the
Estimate
1 .740a .548 .534 4.689
a. Predictors: (Constant), Total Y1, Total X1, Total X2
ANOVAb
Model Sum of Squares df Mean Square F Sig.
1 Regression 2561.536 3 853.845 38.842 .000a
Residual 2110.304 96 21.982
Total 4671.840 99
a. Predictors: (Constant), Total Y1, Total X1, Total X2
b. Dependent Variable: Total Y2
Coefficientsa
Model
Unstandardized Coefficients
Standardized
Coefficients
t Sig. B Std. Error Beta
1 (Constant) 8.823 2.570 3.434 .001
Total X1 -.285 .085 -.263 -3.345 .001
Total X2 .789 .091 .705 8.621 .000
Total Y1 .277 .134 .178 2.075 .041
a. Dependent Variable: Total Y2