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Tathapi
(UGC Care Journal)
ISSN: 2320-0693
Vol-19-Issue-21-May-2020
P a g e | 86 Copyright ⓒ 2020 Authors
“Consumer Buying Behavior towards Two-Wheeler Scooters: With Special reference to
Nagpur City (Maharashtra, India)”
Dr. Padmakar I. Shahare
Assistant Professor, GWCET, Nagpur, Maharashtra, India, [email protected],
Biographical notes:
Padmakar Shahare is presently working as Assistant Professor at Govindrao Wanjari College of Engineering and
Technology, Nagpur. He is graduate in BE (Electronics Engineering) from RTM, Nagpur University and post
graduate in MMS (Marketing Management) from University of Mumbai, Mumbai. He has also to his laurels various
other degrees like M.Com, PGDIBO. He was awarded PhD degree from Rashtrasant Tukdoji Maharaj Nagpur
University, Nagpur. His area of expertise is Consumer behavior, Marketing Management, Advertising & Brand
Management and Operations Management. He has a total of fifteen years of teaching, research and corporate
experience. He has authored, published and presented more than 11 papers
Abstract:
Consumer buying behavior is an in-depth study and understanding consumer decision making process. It
studies the factors and traits of individual consumer such as demographic and behavioral variable and to
understand the need, wants and desire of the consumers. The two wheeler industry in India has shown a
steady growth over the past decade. Any organization needs to know the motives and reasons why the
consumer differs in choice from each other in buying products and services. This research paper aims to
identify various factors that influence the consumer buying behavior of the two wheeler scooters in Nagpur
city (Maharashtra, India). The survey conducted for this study mainly focuses on the reasons and criteria
followed by consumer for buying two-wheeler scooters.
This study is based on a primary data collected from the questionnaire survey conducted among 338 two-
wheeler users in Nagpur city. The researcher has used percentage analysis for assessing demographic profile
of the respondents, factors while purchasing two-wheelers is analyzed using Likert’s scaling technique and
reasons for buying two-wheeler scooter is analyzed using Garret ranking method.
Keywords: Consumer, buying behavior, factors, demographic, two wheeler, scooters, etc.
Tathapi
(UGC Care Journal)
ISSN: 2320-0693
Vol-19-Issue-21-May-2020
P a g e | 87 Copyright ⓒ 2020 Authors
1. Introduction
The two wheeler segment contributes the largest and biggest volume of sales of all the segments in automobile
industry in India. It consists of three segment viz. scooter, bike and moped. In recent time the consumer’s choice and
preferences for purchase of two wheelers have moved from bike to scooters for variety of reasons. Capturing a large
share in the two wheeler industry, scooter and bikes covers a major segment. The customers have wide choice of
brand in two wheeler segment and for survival in competition; the two-wheeler companies have to do better job in
satisfying customers’ needs and wants. Majority of Indians, especially the youngster prefer bikes rather than four
wheelers. Bikes are considered to be the trending and favorites among the young generation, but cost, comfort and
convenience of driving is what makes the scooter the most popular in many part of the India.
Consumer behavior is the study of how people buy, where they buy, what they buy, when they buy and why they
buy. Consumer Behavior is the psychology behind marketing the behavior of consumers in the marketing
environment. Two major psychological disciplines come into play when observing and trying to explain consumer
behavior. The first is Cognitive Psychology which is a study of all knowledge related behavior. The attention,
perception, memory and decision making are the various aspects of Cognitive Psychology that play an important
role in consumer behavior. The second psychological discipline that has theories to explain certain phenomenon of
consumer behavior is Social Psychology. It is the study of the manner in which the personality, attitude, motivation
and behavior of an individual influence and are influenced by groups.1
According to Philip Kotler, the buying process starts when the buyer recognizes a problem or need. This need
can be triggered by internal stimuli (feeling, hunger or thirst) or external stimuli (seeing an ad) that then becomes a
drive. He also says that provoked consumer who recognizes a problem will be inclined to search for more
information. If the consumer's drive is strong and a satisfying product is near at hand, the consumer is likely to buy
1http://www.theinternationaljournal.org/ojs/index.php?journal=rjcbs&page=article&op=download&path%5B%5D=4897&path%5B%5D=pdf
Tathapi
(UGC Care Journal)
ISSN: 2320-0693
Vol-19-Issue-21-May-2020
P a g e | 88 Copyright ⓒ 2020 Authors
it then. If not, the consumer may simply store the need in memory or undertake an information search related to the
need.2
Figure 1: Consumer decision making process
Source: Kotler and Keller (2012)
2. Socio-economic factors and consumer behavior
A consumer making a purchase decision will be affected by following Factors:
a. Cultural Factors
b. Social Factors
c. Personal Factors
d. Psychological Factors
a. Cultural Factors: It applies the greatest impact on buying behavior of consumer. A buyer is always
influenced by his culture, sub-culture and social class. Culture is the most fundamental factor of a person’s wants
and behavior. Culture refers to the set of values, ideas and attitude that are accepted by a homogeneous group of
people and transmitted to the next generation. Whereas Subculture is a member of a culture, shares most of the core
value, beliefs and behaviors of that culture. Each culture consists of smaller sub culture that provides more specific
identification and each socialization for their members. Sub culture includes nationalities, religions, racial groups
and geographic regions. Social class determines to some extent, the types, quality and quantity of product that a
person buys or uses. Social class is a basis for identifying and reaching particular good prospects for products and
services.
b. Social Factors: Man is a social animal. Hence his or her behavior is greatly influenced by social Factors like
reference groups, family, roles and status
2 Kotler, P. and Keller, K.L. (2012) Marketing Management, 14th ed.,Pearson Education, New Jersey,USA
Need Recognition & Problem Awareness
Information search
Evaluation of Alternatives
PurchasePost-
Purchase Evaluation
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ISSN: 2320-0693
Vol-19-Issue-21-May-2020
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i. Reference groups: A person’s reference groups consist of all the groups that have a direct or indirect
influence on the person’s attitude or behavior.
ii. Family: Family member constitute the most influential primary reference group.
iii. Roles and Statuses: Each role that a person plays has a degree of status which is in relative term perceived by
the society. It is the degree of influence that an individual applies on the behavior of others.
c. Personal Factors: A consumer decisions are also affected by his including age, occupation, life- style and
personality.
d. Psychological Factors: A person’s acquired needs are influenced by certain psychological factors such as
motivation, perception, learning and beliefs and attitudes.3
3. Demographic and Topographic Profile of Nagpur City (Maharashtra, India)
The city of Nagpur epitomized as Zero mile city is located in central India. The Zero Mile Stone locating the
geographical center of India was used by the British to measure all distances within the Indian subcontinent. Nagpur
is third largest city in terms of Population and winter capital of the Indian state of Maharashtra. It is 13th largest city
in India by population. Nagpur is famous for oranges, and is refereed as Orange city also. It has also been recently
ranked as the cleanest city and the second greenest city of India. The city is located on the Deccan plateau of the
Indian Peninsula and has a mean altitude of 310.5 meters above sea level.
As per provisional reports of Census India, population of Nagpur in 2011 is 2,405,665; of which male and female
are 1,225,405 and 1,180,260 respectively. The total number of slums number 179,952, in which 859,487 people
reside. Hinduism is majority religion in Nagpur city and Marathi is the official and most spoken language. Its per
capita income was INR 123,610 (US$1,700) in 2015.4
The multimodal International Hub Airport at Nagpur (MIHAN) is an ongoing project, prominent information
technology (IT) companies such as TCS, Tech Mahindra, HCL, GlobalLogic, Persistent System and Hexaware are
3 Kotler, P., Chandler,P.C., Brown, L. and Adam, S. (2003)Marketing: Australia and New Zealand, 3rd ed., pp.136–143, Prentice Hall, Australia,
New York 4 https://www.census2011.co.in/census/city/353-nagpur.html#all
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located at various IT part in Nagpur. Apart from MIHAN, SEZ the city has three prominent MIDC areas nearby and
various government and private offices.
Nagpur is major education hub in central India and very good place for higher education in the field of
Engineering, Medical and Management. Nagpur has four state universities Rashtrasant Tukdoji Maharaj, Nagpur
University having more than 600 affiliated colleges, Maharashtra Animal and Fishery Science University, Kavi
Kulguru Kalidas Snakrit University and Maharashtra National Law University. Most engineering colleges in the city
are affiliated with RTN Nagpur University. Nagpur has two major management institutes, Indian Institute of
Management established in 2015 and Institute of Management Technology, private management colleges and
Symbiosis International University.
The transport within the city is managed by the buses of Nagpur Mahanagar Parivan Limited (NMPL) it has a
fleet of 487 buses, which serve about 160,000 passengers daily in the metropolitan area. Of the fleet, 17 are electric
buses; 88 are low-floor Mini-Buses, and 382 are low-floor 50-seat Star Buses. Public transports of Nagpur are the
cheapest mode of traveling across the Nagpur city. Auto rickshaws are also an important part of public transports at
Nagpur. Another public transport at Nagpur which can be ranked third among all is the cabs or taxis that run on the
streets of Nagpur. The Nagpur Metro project was announced by the state government of Maharashtra and work is in
process.5
Various categories of Scooters available in Nagpur city like Honda Activa, Hero Maestro, Suzuki Access, Honda
Dio, Hero Pleasure, TVS Jupiter, TVS Scooty, Yamaha Fascino, Honda Grazia and Vespa.
Table 1: Category-wise number of vehicles registered during 2017-2018 in Nagpur city.6
Sr. No. Category Nagpur Rural Nagpur ® Region
1 Motor Cycles 33185 91216
2 Scooters 10285 36961
3 Mopeds 2216 3412
5 https://en.wikipedia.org/wiki/Nagpur 6 https://transport.maharashtra.gov.in/Site/Upload/GR/Statistics%20Information-2017-18.pdf
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(UGC Care Journal)
ISSN: 2320-0693
Vol-19-Issue-21-May-2020
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Total Two wheeler 45686 131589
Source: Secondary Survey data (RTO Nagpur)
4. Literature Review
Prof. Manisha Jagtap & Dr. Anand Deshmukh (2018) found in his study that the factors influencing the
consumer buying behavior are Brand Image, Showroom Services, Engine Capacity, Safety, New technology,
Product design, Warranty period, Impact of peers, Driving Comfort, Mileage , Price and Engine Power. The
research identified apart from the factors, consumer behavior is also influenced by the need, purchasing power and
the price of the two-wheeler. The researcher also analyzed the reason behind the changes occurred in consumer
buying decision over to another brand which are is due to problems faced with the existing brand and due to the
desire of highly technological automobile and due to the change in the services offered by dealer before and after
purchase.7
A. Martin Jayaraj (2017) explained about the buying behavior of consumers in purchasing two wheelers
involves several psychological factors that govern the individual thinking process (like motivation, perception and
attitude), decision-making steps involved in buying, interaction of the consumer with several groups like friends,
family and colleagues, group, and selection of the brand and outlet depending on features and emotional appeal
(marketing mix). All consumers engage in shopping with certain fundamental decision-making modes or styles,
including rational shopping and consciousness regarding brand and quality.8
7 Prof. Manisha Jagtap & Dr. Anand Deshmukh (2018), “Consumer Behavior Research: A Literature Review”, DOI : 10.18843/ijms/v5i4(9)/20, http://researchersworld.com/ijms/vol5/issue4_9/Paper_20.pdf 8 A. Martin Jayaraj (2017), “A Study on Consumer behaviour towards Two Wheeler dealers in Coimbatore district”, IJMRR/April 2017/ Volume
7/Issue 4/Article No-3/418-423, http://ijmrr.com/admin/upload_data/journal_Martin%20%203.pdf
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(UGC Care Journal)
ISSN: 2320-0693
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S. Suraj Basha and Dr. B.C. Lakshmanaa (2017) have written a paper on “A study on factors influencing
consumer’s buying behavior of two-wheeler with special reference to Rayalaseema region, Andhra Pradesh, India”,
the study revealed that consumer buying behavior influence by personal, psychological, social and cultural factors.9
Joseph Antony and Dr. Siby Thomas (2017) conclude in their paper entitled “A study on factors influencing
purchase intention of consumers towards two wheelers” that consumers influenced by economic factors, features,
usage, brand image, aesthetics and social factors.10
Dr. Raj A. Jesu Kulandai, & Prof. Kaviarasu S. John, (2015) found in his study that the Indian two wheeler
industry is expanding and growing up each year and the motorcycle segment is governed by various players i.e.
Hero, Honda, Bajaj, TVS, Royal Enfield. The study notices that buying behavior of two-wheelers in Chennai city is
significantly influenced by a number of marketing stimuli offered by the manufacturers. It also reveals the people
from low and middle class prefer two wheeler as it matches with their individual and family requirements.11
Dr. Duggani Yuvaraju & Prof. S.Durga Rao (2014) have written a case study on “Customer satisfaction
towards Honda two-wheelers in Tirupati, India”. The study concludes that most of the customers of high income
group preferred Honda bikes because of best quality with reasonable price.12
5. Research Methodology
This study covers the period of Five months from December 2018 to April 2019. Primary data was collected by
survey, telephonic interview, and observations. The questionnaire is the key tool of data collection for this survey.
The aim of the questionnaire is to help the researchers to gather information from the market survey and analyze the
9 S. Suraj Basha and Dr. B.C. Lakshmanaa (2017), “A study on factors influencing consumers’ buying behavior of two wheelers with special
reference to Rayalaseema region, Andhra Pradesh, India”, International Journal of Academic Research, Vol.4, Issue-4(1), April, 2017, http://ijar.org.in/stuff/issues/v4-i4(1)/v4-i4(1)-a004.pdf 10Joseph Antony and Dr. Siby Thomas (2017), “A study on factors influencing purchase intention of consumers towards two wheelers”,
International Journal of Advance Engineering and Research Development Volume 4, Issue 5, May -2017, http://www.ijaerd.com/papers 11 Dr. Raj A. Jesu Kulandai & Prof. Kaviarasu S. John. (2015), “Household Characteristics and Buying Behaviour of Two-wheeler Consumers in
Chennai City”, Asian Journal of Research in Business Economics and Management, 5 (4), 109-121,
https://shodhganga.inflibnet.ac.in/bitstream/10603/222515/8/08_chapter%202.pdf 12 Dr. Duggani Yuvaraju & Prof. S.Durga Rao (2014), “Customer Satisfaction towards Honda Two Wheelers: A Case Study in Tirupati”, IOSR
Journal of Business and Management, Volume 16, Issue 5. Ver. I (May. 2014), PP 65-74, http://www.iosrjournals.org/iosr-jbm/papers/Vol16-
issue5/Version-1/J016516574.pdf
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research findings (Saunders et al., 2009). The secondary data collected from websites, publication, research papers,
newspapers and books. For this study, simple random sampling techniques are used for selection of the 350 sample
respondents and 338 responses have received. The sample is drawn from the sample unit the customers of Nagpur.
The collected data is analyzed with the help of statistical tools like percentage analysis, Likert Scale,
Garret Ranking Method and Chi-square test.
5.1. Reason for topic selection
Nagpur is one of the developing cities in Central India. The topography and terrain of the city consists of low
flat-topped hills and flat tablelands. Also it is observed that number of scooters on the road is more than any other
vehicle in the two-wheeler category.
This paper aims to find the consumer buying behavior towards two-wheeler scooters.
5.2. Problem identification
There is very high competition in various brands of two-wheeler in scooter category. By observation the
switching demand from bike to scooter is growing these days, which pushes them to purchase scooter at high scale
so based on the information from the various dealers and the different review of literature.
Therefore researcher is required to analyze the factors and reasons of present consumer behavior to purchase
two-wheeler scooters. This study emphases to study the research questions like what are the reasons for buying
scooter in two wheeler category? And also what are the factors that affect Nagpur consumers purchase intentions
toward scooter?
5.3. Objectives of the study
The Primary objectives for this study are as follows:
a. To understand the respondent’s preference of two-wheelers in Nagpur, Maharashtra, India.
b. To identify the factors influencing consumer buying behavior process in Nagpur city.
c. To analyze the reason behind the socio-economic changes and its influence on consumer buying behavior of two-
wheeler Scooters in Nagpur city.
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5.4. Hypothesis of study
Hypotheses 1:
H0: There is no significant relationship between the Demographic factors and preference of respondent for
purchasing scooter in two-wheeler category.
H1: There is significant relationship between the Demographic factors and preference of respondent for purchasing
scooter in two-wheeler category.
Hypotheses 2:
H0: There is no significance between the motivation from credit schemes facilities and satisfaction level of Nagpur
consumers to purchase scooter.
H1: There is significance between the motivation from credit schemes facilities and satisfaction level of Nagpur
consumers to purchase scooter.
5.5. Scope of the study
This research paper primarily aims to study and research on consumer buying behavior towards two-wheeler
scooters. In the recent past the two wheeler market has rapidly eroded the market share of bikes in Nagpur city. The
scope of study is limited to the consumers of two-wheeler and findings needed by the marketers for new information
useful in strategy and decision making. This paper emphasis and study the factors influencing buying behavior of
two-wheeler scooter and the findings are focused towards the two-wheeler manufactures, dealers and marketers for
future demand forecasting.
6. Data Interpretation and Findings
6.1: Analysis 1: shows the demographic summary of the respondents. The statistics shows that approximately
90% of respondents are above 30 years of age. Most of the respondents are male (72%) and married (85%).
Approximately half of the respondents are employees (43%) & having business (28%) and majority of the
respondents earn a monthly income between Rs. 20,000 to 29,999 (49%) having their own scooter (51%).
The age of the respondents were taken into consideration and categorized as,
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a. 19-29 years,
b. 30-39 years,
c. 40-49 years &
d. Above 50 years.
The total numbers of respondents were 338. Out of this total, 51% scooter owners were above 40 years and 27%
bike owners were below 40 years.
Table 2: Profile of the Respondents
Parameters Characteristics Responses (In Percentage)
Age 19-29 33 10
30-39 78 23
40-49 156 46
50 & Above 71 21
Gender Male 242 72
Female 96 28
Marital Status Married 286 85
Unmarried 52 15
Occupation Student 64 19
Business 96 28
Labour 32 9
White collar Employee 146 43
Monthly Income Below 9999 13 4
10,000-19,999 46 14
20,000-29,999 156 46
30,000-39,999 99 29
40,000 & Above 24 7
Which type of two-wheeler do you own? Scooter 174 51
Moped 23 7
Bike 92 27
Sport Bike 49 14
Source: Primary Survey data
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Figure-2: Respondents own brand of Two-wheeler Scooter.
Source: Primary Survey data
6.2: Analysis 2: While assessing the brand of scooter, it has been observed that out of 338 respondents surveyed
majority (29%) own the brand Honda Activa, followed by Suzuki Access (22%) & TVS Jupiter (21%). Likewise
13%, 5%, 4%, 3% 3% respondents own Hero Maestro, Honda Dio, Hero Pleasure, TVS Scooty & Vespa scooters
respectively in Nagpur.
Figure 3: Analysis 3 Influencing elements in purchase decision of two-wheeler
Source: Primary Survey data
6.3: Analysis 3: While assessing the above parameter i.e. influence factor in purchase decision of two-wheeler,
most of the respondents are influenced by friends (35%), work group (23%) family members (17%), reference group
(16%), dealers (6%) and neighbors (4%). This means while taking decision respondents discussed about the overall
performance of the two-wheeler with their friends and work group and take decision.
Figure 4: Family involvements in the process of purchase decision making
0102030405060708090
100
Honda
Activa
Hero
Maestro
Suzuki
Access
Honda
Dio
Hero
Pleasur
e
TVS
Jupiter
TVS
Scooty
Vespa
Series1 99 45 74 17 12 72 10 9
Resp
on
den
ts
0
20
40
60
80
100
120
Family
Members
Friends Work
Groups
Neighbor
s
Dealers Reference
Group
Series1 56 118 78 12 21 53
Resp
on
den
ts
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Source: Primary Survey data
6.4: Analysis 4: Form the above analysis it shows that in the process of purchase decision making, in Nagpur city
family is involved at the time of budget allocation (33%) followed by brand selection (29%), need identification
(21%), actual purchase (10%) and search for information (7%). This means budget allocation and brand selection
are the major parameters where family involved.
Figure 5: Motivation from Advertising and promotional schemes by two-wheeler dealer
Source: Primary Survey data
6.5: Analysis 5: While analyzing about the impact of advertisement, social media, internet and various
promotional schemes by two-wheeler dealer in Nagpur city it has been observed that out of 338 respondents, 42%
respondents were agreed, 40% respondents were disagreed on the same and 19% were neutral. This shows that there
is mixed reaction from the consumers of Nagpur city as advertising, social media and promotional schemes by two-
wheeler dealer does not impact more to purchase scooter.
Figure 6: Respondents collect information from review, feedback from expert, existing users & internet
before purchasing decision
0
50
100
150
NeedIdentificati
on
Budgetallocation
Search forinformatio
n
Brandselection
Actualpurchase
Series1 72 112 23 97 34
Respondents
0
50
100
150
Agree Neutral Disagree
Series1 141 63 134
Resp
on
den
ts
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Source: Primary Survey data
6.6: Analysis 6: Advertising has less impact but before purchasing decision, consumers from Nagpur city collect
information from various sources like review on internet, feedback from expert and existing users of scooters. Out of
338 respondents, 77% agreed on the same 16% disagreed and 8% neutral.
Table 3: Factors while purchasing two-wheeler
Sr. No. How do you consider the following factors
while purchasing the Two Wheeler? SA A N DA SDA Total Mean Rank
3 Mileage 67 186 32 41 12 1269 3.75 3
2 Quality and Design 54 221 14 36 13 1281 3.79 2
8 Brand Name & Advertisement 23 154 34 94 33 1054 3.12 8
4 Price 63 172 45 52 6 1248 3.69 4
12 Availability 23 43 56 154 62 825 2.44 12
1 Performance 53 258 9 14 4 1356 4.01 1
6 Guarantee 43 148 78 24 45 1134 3.36 6
7 Low Maintenance 52 142 67 24 56 1133 3.35 7
9 After Sales service 43 87 31 132 45 965 2.86 9
10 Special Offers & Gift 24 76 123 59 56 967 2.86 10
5 Storage Space 64 145 67 49 13 1212 3.59 5
11 Resale value 32 56 98 121 31 951 2.81 11
Source: Primary Survey data
Total = (SA× 5) + (A ×4) + (NO×3) + (DA×2) + (SDA×1)
0
50
100
150
200
250
300
Agree Neutral Disagree
Series1 259 26 53
Resp
on
den
ts
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Mean=Total Score /No. of respondents Total Score /No. of respondents
Table 2 indicates the ranking of the factor while purchasing the two-wheeler using Likert’s scaling technique.
“Performance” got the first rank with a mean score of 4.01, followed by “Quality & Design” with a mean score of
3.79. The factors “Resale value” and “Availability” got the last ranks 2.81 and 2.44.
Table-4: Reasons for purchasing two-wheeler Scooter
Sr.
No
.
Reasons for
buying a Two
Wheeler
Scooter
1 2 3 4 5 6 7 8 9 10 %
positio
n
Garr
et
Value
Tota
l
Avg.
Scor
e
Rank
1 Easy Handling 67 100 86 34 14 10 9 8 7 3 5 82 22015 65.13 2
2 Status 26 3 11 36 42 37 23 47 49 64 15 70 14314 42.35 8
3 Necessity 23 112 84 49 23 12 11 14 9 1 25 63 20877 61.77 3
4 Comfort 122 64 46 26 21 18 14 12 9 6 35 58 22235 65.78 1
5 Driving Security 26 34 66 54 46 34 15 22 18 23 45 52 18184 53.80 4
6 Time saving 14 5 12 25 97 71 47 24 37 6 55 48 16175 47.86 5
7 Reduce travel
expenses 21 12 3 15 14 38 57 54 62 62
65 42 13425 39.72 9
8 For a Change 12 2 12 23 36 76 88 45 35 9 75 36 15227 45.05 6
9 lack of public
transport 18 1 10 65 33 41 32 28 47 63
85 29 14479 42.84 7
10 Luxury 9 5 8 11 12 1 42 84 65 101 95 18 11393 33.71 10
Source: Primary Survey data
Average Score=Total Score / No. of respondents
Table-3 indicates the ranking of the various reasons for purchasing two-wheeler scooter using Garret ranking
method. The reason “Comfort” ranked first with a mean score of 65.78, followed by “Easy Handling” which ranked
second with a mean score of 65.13 and reasons “Reduce travel expenses” and “Luxury” got the last ranks with a
mean score of 39.72 and 33.71 respectively.
7. Hypothesis testing and Interpretation
7.1. Hypothesis analysis 1
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Table 5: Composition of age with respondent’s preference for purchasing scooter in two-wheeler category
Age↓/Preference→ Scooter Moped Bike Sport bike Total
19-29 129 14 131 64 338
30-39 143 6 139 50 338
40-49 167 8 121 42 338
50 & Above 207 19 97 15 338
Total 646 47 488 171 1352
Source: Primary Survey data
Table 6: Calculation of Chi-square test
Observed Freq. (O) Expected Freq. (E) O-E (O-E)2 ∑(O-E)2/E
129 161.50 32.50 1056.3 6.54
14 11.75 2.25 5.0625 0.43
131 122.00 9.00 81 0.66
64 42.75 21.25 451.56 10.56
143 161.50 18.50 342.25 2.12
6 11.75 5.75 33.063 2.81
139 122.00 17.00 289 2.37
50 42.75 7.25 52.563 1.23
167 161.50 5.50 30.25 0.19
8 11.75 3.75 14.063 1.20
121 122.00 1.00 1 0.01
42 42.75 0.75 0.5625 0.01
207 161.50 45.50 2070.3 12.82
19 11.75 7.25 52.563 4.47
97 122.00 25.00 625 5.12
15 42.75 27.75 770.06 18.01
1352 1352.00 Total 68.56
Using Chi-square test (χ2), for 9 degree of freedom and 5% (0.05) level of significance, the table value of chi
square is 16.92. The calculated value is 68.56. i.e. χ2Table Value<χ2
Calculated Value. Hence null hypothesis (H0) is rejected
and alternative hypothesis (H1) is accepted. Hence it is concluded that there is relationship between age and
respondent preference for purchasing scooter in two-wheeler category.
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Table 7: Composition of Gender with respondent’s preference of purchasing scooter in two-wheeler category
Gender↓/Preference→ Scooter Moped Bike Sport bike Total
Male 201 28 66 43 338
Female 274 36 21 7 338
Total 475 64 87 50 676
Source: Primary Survey data
Using Chi-square test (χ2), for 3 degree of freedom and 5% (0.05) level of significance, the table value of chi
square is 7.82. The calculated value is 61.41. i.e. χ2Table Value<χ2
Calculated Value. Hence null hypothesis (H0) is rejected
and alternative hypothesis (H1) is accepted. Hence it is concluded that there is relationship between gender and
respondent preference for purchasing scooter in two-wheeler category
Table 8: Composition of occupation with respondent’s preference of purchasing scooter in two-wheeler
category
Occupation↓/Preference→ Scooter Moped Bike Sport bike Total
Student 154 2 121 61 338
Business 204 7 106 21 338
Labour 176 21 125 16 338
Employee 217 11 95 15 338
Total 751 41 447 113 1352
Source: Primary Survey data
Using Chi-square test (χ2), for 9 degree of freedom and 5% (0.05) level of significance, the table value of chi
square is 16.92. The calculated value is 88.26. i.e. χ2Table Value<χ2
Calculated Value. Hence null hypothesis (H0) is rejected
and alternative hypothesis (H1) is accepted. Hence it is concluded that there is relationship between occupation and
respondent preference for purchasing scooter in two-wheeler category
Table 9: Composition of income with respondent’s preference of purchasing scooter in two-wheeler category
Income↓/Preference→ Scooter Moped Bike Sport bike Total
Below 9999 164 28 137 9 338
10,000-19,999 143 13 139 43 338
20,000-29,999 137 8 144 49 338
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30,000-39,999 207 3 101 27 338
40,000 & Above 189 1 92 56 338
Total 840 53 613 184 1690
Source: Primary Survey data
Using Chi-square test (χ2), for 12 degree of freedom and 5% (0.05) level of significance, the table value of chi
square is 21.03. The calculated value is 127.03. i.e. χ2Table Value<χ2
Calculated Value. Hence null hypothesis (H0) is rejected
and alternative hypothesis (H1) is accepted. Hence it is concluded that there is relationship between occupation and
respondent preference for purchasing scooter in two-wheeler category.
Considering all the demographic factors i.e. age, gender, occupation and income of the respondents, this
shows that there is significant relationship between the Demographic factors and preference of respondent
for purchasing scooter in two-wheeler category.
6.2 Hypothesis analysis 2:
Table 10: Responses of relationship between credit schemes facilities and satisfaction level of consumers
Parameters Characteristics Responses (In Percentage)
The credit schemes and Installment facilities motivates to
purchase scooter.
Agree 221 65.38
Neutral 54 15.98
Disagree 63 18.64
You are satisfied with the purchase decision of scooter. Agree 173 51.18
Neutral 78 23.08
Disagree 87 25.74
Source: Primary Survey data
Table 11: Observation frequency table
Agree Neutral Disagree Total
The credit schemes and Installment facilities motivates to purchase scooter 221 54 63 338
You are satisfied with the purchase decision of scooter 173 78 87 338
Total 394 132 150 676
Table 12: Calculation of Chi-square test
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Observed Freq. (O) Expected Freq. (E) O-E (O-E)2 ∑(O-E)2/E
221 197.00 24.00 576 2.92
54 66.00 12.00 144 2.18
63 75.00 12.00 144 1.92
173 197.00 24.00 576 2.92
78 66.00 12.00 144 2.18
87 75.00 12.00 144 1.92
676 676.00 Total 14.05
Using Chi-square test(χ2), for 2 degree of freedom and 5% (0.05) level of significance, the table value of χ2is 5.99.
The calculated value of χ2 is 14.05. This is greater than the tabulated value. Hence null hypothesis (H0) is rejected
and alternative hypothesis (H1) is accepted. Hence it is concluded that there is significance between the motivation
from credit schemes facilities and satisfaction level of Nagpur consumers to purchase scooter.
8. Suggestions
After analyzing the collected data, the following are some of the key suggestions.
a. There is a high demand for scooters in Nagpur market because of the demographic and topographic profile
of the city. The Marketers and dealers of various brands should emphasis on improving supply so as to
meet the demand of consumers.
b. From the hypothesis testing it is proved that consumers of Nagpur are motivated form credit schemes and
installment facilities while some of the respondents suggested improving mileage of scooter for cost cutting
in petrol expenses.
c. All the manufactures of various brands should focus and strive to enhance quality in comport, performance,
features and design of the scooter.
9. Conclusion
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There are numerous studies available on consumer buying behavior and two wheeler automobile industries. The
researcher through this survey on “Consumer Buying Behavior towards Two-Wheeler Scooters segment: With
Special reference to Nagpur City (Maharashtra, India)” has identified the factors influencing the consumer buying
behavior such as performance, quality & design, mileage, price and storage space. Apart from these factors,
consumers from Nagpur city are also influenced by comfort, easy handling, necessity, driving security and time
saving. Today, the two-wheeler customers are very much concerned about the performance and quality of the
scooters they plan to purchase than any other features. There are various brands in the category of scooter, but in this
study period consumer from Nagpur city mostly preferred Honda Activa, Suzuki Access and TVS Jupiter because of
the above factors.
The researcher also identified that consumers from Nagpur city are not very much influenced by advertisement
and promotional schemes; rather they collect data and information from available sources like internet and peer
reviews, feedback from expert and existing scooter users for purchasing the right choice of two-wheeler scooter.
Family involvement also plays an important role in purchase decision of two-wheeler scooter.
From hypothesis 1 it is clear that there is significant relationship between the Demographic factors and preference of
respondent for purchasing scooter in two-wheeler category. The research paper concludes that most of consumers of
Nagpur city are very much satisfied with the scooters in two-wheeler category.
10. Funding
The author(s) received no financial support for the research, authorship, and/or publication of this article. This
survey on “Consumer Buying Behavior towards Two-Wheeler Scooters segment: With Special reference to Nagpur
City (Maharashtra, India)” was solely conducted by the researchers at their own expenses and time.
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