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After laying down the theoretical framework, the next phase of research is to test the
theory empirically. To meet the objective, an empirical study of major car manufacturers
operative in India belonging to the domains of hatchback and sedan cars and their
marketing strategies was undertaken in NCR-Delhi. The present study proposed to make
an understanding of the position of Indian car industry in the post liberalization era and
how the Indian buyer reacts towards the marketing plans of car manufacturers about the
vehicle options available with him in compact and midsized segments, on the basis of a
research framework of key variables for analyzing the influence of social, cultural,
personal and psychological contexts on consumer buying behavior, and integrated
marketing mix elements, segmentation, targeting, differentiation and positioning along
with electronic marketing and customer relationship management on car buyers’ brand
preference, satisfaction and loyalty intention.
This chapter discusses the research objectives and research procedure which includes the
overall research design, the sampling procedures, the data collection methods, the
methods of data analysis, measures undertaken and statistical techniques used for data
analysis. The purpose of this chapter is to provide information regarding the research
contexts, philosophical assumptions underpinning the study, and research strategies used.
4.1 Objectives of the Study
This study provided greater insight into the post-economic liberalization scenario of
Indian automobile industry responsible for highly competitive business environment for
car manufacturers. The present study is also to make an analysis of the marketing
strategies for effective outcomes in car manufacturing companies. Following are the
concise objectives of the study:
1. To study the post liberalization scenario of the automobile industry in India and the
existing marketing strategies being adopted by the car manufacturers.
2. To study the effectiveness of these marketing strategies by analyzing the impact on
consumer in terms of their brand choice, satisfaction and loyalty intention.
3. To explore and suggest marketing strategies in regard to the current scenario for the
car manufacturers and marketers.
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4.2 Research Approach
The research approach used in the present study is quantitative. This type of research is
more concerned about issues of design, measurement, and sampling because their
deductive approach emphasizes detailed planning prior to data collection and analysis.
(Neuman and Lawrence, 2000). The first reason for the quantitative approach to be
chosen is that as mentioned above, the deductive approach is often associated with
quantitative research design. Another reason for the quantitative approach is that the
researcher wants to generalize from the samples and make conclusions from the samples.
It is very difficult to know the exact number of NCR-Delhi existing and potential car
buyers and data collection from each case is not possible and not necessary for the study,
so the researcher used questionnaire in the study to collect primary data in order to make
generalization from the sample chosen. As Hair, Money, Samouel and Babin (2003)
suggests that once data is obtained, and then analyzed, it becomes the basis for
conclusions and decision-making.
4.2.1 Research Design
The study is explorative cum descriptive cum diagnostic in nature. It is exploratory in a
sense that prior to liberalization few studies have been conducted by the scholars on
marketing strategies of car industry. The focus of these studies have been on marketing
mix that is too on positioning as there were only few players in the Indian market. After
globalization the automobile market scenario has completely changed due to the entry of
large number of multinational companies in the fray. And in this changed situation
where the focus is on customer value, in the best knowledge of the researcher based on
the extant literature, no study has been conducted on how marketing strategies of car
manufacturers influence the consumers in India, and in particular, who wants to make a
mark in the domain of hatchback and sedan in compact and midsized segment of cars
among the existing car manufacturers.
Descriptive research involves gathering data that describe events and then organizes,
tabulates, depicts, and describes the data collection (Glass and Hopkins, 1996). The
present study is also descriptive in nature as the researcher made an attempt to describe
the current scenario in the global automobile sector with a focus on the players prevailing
116
in the Indian market, the marketing strategies being followed by these players and the
researcher attempts to make a situational/scenario analysis (SWOT analysis, Porter’s Five
Forces Industry analysis, and the PEST analysis) in the context of automobile business
environment. Moreover, the problem has been formulated and conceptualized on the
basis of the description of existing literature on the subject.
The present study is also diagnostic as first it explores the marketing strategies of the
major players and then attempts to analyze the effectiveness of these strategies on Indian
car buyers’ brand preference, satisfaction and loyalty. Finally, an attempt has also been
made to recommend some more viable aspects of marketing strategies that can be
implemented in the current global environment.
Survey was the predominant research methodology used in this work. To proceed on
right track and to do justice with the study, the primary sources of information were
browsed. Technical expectations as well as social expectations and obligations were
delineated in consultation with the Research Supervisor and the Marketing Personnel of
car manufacturers/dealers/financing agencies who were apt to the idea of processes and
problems of the buyer behavior and marketing strategies to influence car buyers in Indian
automobile business environment before finalizing the line of action. Thus the thrust
areas were marked for the target audience, the hatchback and sedan car owners for the
compact and midsized segment in India. A quantitative survey was chosen for the
research because it is a simple and cost effective means of gathering a large amount of
information within a short timeframe.
4.2.2 Universe and Survey Population
The universe of the study was the major car manufacturers who are offering hatchback
and sedan in compact and midsize besides their other segment cars in India. The survey
population included the car owners to see impact of marketing strategies of the
companies selling brands like Maruti Suzuki, Tata, Hyundai, Ford, Toyota, Honda,
Renault, Chevrolet, Nissan, Skoda, Volkswagen, and Fiat on consumers’ brand
preference, satisfaction and loyalty.
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4.2.3 Data Sources
The present work is an empirical research based on both primary and secondary data. The
theory is basically developed from secondary sources of information and a thorough
study of various academic works in the field has been attempted. Various sources used
for the purpose are the records of the sampled auto organizations, auto magazines, books,
articles that appeared in journals and newspapers, study reports etc. on the subject
particularly for formulation of the problem and also to compare the respondents’
perception about the influence of strategies and the buyer preference, satisfaction and
loyalty. Self-administered questionnaire was the main source of colleting the primary
data which include items on demographic information of respondents, the car
manufacturers’ marketing strategies and their impact on brand preference, satisfaction
and loyalty. It also included some open ended questions to give the chance to respondents
for expressing their view point on various aspects of the problem. However, personal
interviews were also conducted of the subjects in the light of same questionnaire.
An analysis of the automobile marketing strategies documentation was conducted prior to
the commencement of the survey. Perceptual inputs in the form of documentation were
collected by personal visits to the senior level marketing managers and marketing
professionals of the car manufacturers, dealers and financing agencies under study.
4.2.4 Sample Area
The data has been collected from NCR-Delhi as the area has a high residential density
with people from all over India due to the high migration influx in recent years. The
population is quite heterogeneous, with various dimensions such as religion, caste,
customs, traditions, social hierarchy, language, literacy, education, occupation, income
etc.
4.2.5 Sample Design and Survey Sample
Twelve dealers of the car companies in NCR-Delhi were selected on the basis of
judgment sampling for inclusion in the sample. A preliminary discussion was held with
the concerned manager of each of the car dealers under study located in NCR-Delhi who
were asked to supply the list of those customers who had bought the cars for more than a
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year. Of this list, 240 subjects were randomly selected for giving a personal telephonic
call for participating in this survey.
4.2.6 Selection of Car Manufacturers
In passenger car segment, Suzuki is the leader with around 50%, market share followed
by Hyundai with 19% and Tata with 16%. Other players in this segment are Honda and
Ford, Toyota, General Motors etc. (Menon, 2012). Therefore, the objects to be
investigated were the customers of car manufacturers with largest market share as shown
in Table 4.1. Given that larger organizations tend to have more established and
comprehensive marketing programs, this sample was chosen because of their experience
with the implementation of innovative marketing strategies.
Table 4.1: Selection of Car Manufacturers/Models
Name of the Company/Car type Brand Name and
Model
Type of fuel
used
Petrol Diesel
Chevrolet Sales India Private Limited Hatchback Chevrolet SAIL U-VA √ √
Sedan Chevrolet SAIL √ √
FIAT Group Automobiles India Private
Limited
Hatchback Fiat Punto √ √
Sedan Fiat Linea √ √
Ford India Private Limited Hatchback Ford Figo √ √
Sedan Ford Fiesta √ √
Hyundai Motor India Limited Hatchback Hyundai i-20 √ √
Sedan Hyundai Verna √ √
Honda Cars India Limited Hatchback Honda Brio √ --
Sedan Honda Amaze √ √
Maruti Suzuki India Limited Hatchback Maruti Suzuki Swift √ √
Sedan Maruti SX4 √ √
Toyota Motor Corporation Hatchback Toyota Etios Liva √ √
Sedan Toyota Etios √ √
Tata Motors Limited Hatchback Tata Indica Vista √ √
Sedan Tata Manza √ √
Volkswagen India Private Limited Hatchback Volkswagen Polo √ √
Sedan Volkswagen Vento √ √
SKODA Auto India Private Limited Hatchback Skoda Fabia √ √
Sedan Skoda Rapid √ √
Nissan Motor India Private Limited Hatchback Nissan Micra √ √
Sedan Nissan Sunny √ √
Renault India Private Limited Hatchback Renault Pulse √ √
Sedan Renault SCALA √ √
Note: All the hatchback and sedan cars belong to compact and midsize segment respectively.
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4.2.6.1 Selection of Car Models
The flood of entrants into the car industry in the last few years has led to a complete
transformation of this industry. Many of the auto industry experts and agencies like
Society of Indian Automobile Manufacturers (SIAM) have classified various car models
existing in various segments in the Indian marketplace on different parameters. For the
purpose of this study, the researcher focused on specific car models and grouped them on
the basis of their type/form i.e. hatchback or sedan into compact and midsize segment as
shown in Table 4.1. Reason being, the compact and midsize is coming up as the most
competitive segments in India. Moreover, the luxury, sports utility vehicles (SUVs) and
multi-purpose utility vehicles (MUVs) have been considered beyond the scope of the
study being different in design, style, specification, cost, purpose etc.
4.2.7 Selection of Respondents
A cross section of respondents who are using hatchback or sedan cars in compact and
midsize segment was selected from the list supplied by the dealers of the sampled
companies as to get a better and wider perspective. The sampling technique employed in
the study was convenience based random sampling.
The information executives or managers from the dealerships under study were solicited
to serve as “intermediaries” for their respective car companies and asked to provide the
backgrounds of those car owners who had purchased a car within the last 12 months.
Survey was conducted by in-person structured interview method, using a structured
questionnaire. A total of 195 out of 240 respondents were approached in the entire
selected car dealerships of NCR-Delhi. To ensure a high response rate, care was taken to
personally administer as many questionnaires as possible, further constant follow-up was
done and patience was maintained all throughout to ensure that the respondents filled up
the questionnaires. An attempt was made to ensure that the filled up questionnaires
should come from each category of the car. For thorough estimates and analyses, only
those questionnaires that were filled out correctly and completely were used for this
study.
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Table 4.2: Category-wise Distribution of Surveyed Car Owners
Category of cars Car owners Total
(N=138) Car type Brand Name and Model Petrol Diesel
Hatchback Chevrolet SAIL U-VA 1 3 4
Sedan Chevrolet SAIL 0 4 4
Hatchback Fiat Punto 2 7 9
Sedan Fiat Linea 1 2 3
Hatchback Ford Figo 0 7 7
Sedan Ford Fiesta 2 5 7
Hatchback Hyundai i-20 3 8 11
Sedan Hyundai Verna 1 5 6
Hatchback Honda Brio 4 0 4
Sedan Honda Amaze 0 3 3
Hatchback Maruti Suzuki Swift 1 6 7
Sedan Maruti SX4 1 4 5
Hatchback Toyota Etios Liva 1 3 4
Sedan Toyota Etios 1 6 7
Hatchback Tata Indica Vista 0 7 7
Sedan Tata Manza 0 6 6
Hatchback Volkswagen Polo 1 5 6
Sedan Volkswagen Vento 2 3 5
Hatchback Skoda Fabia 1 3 4
Sedan Skoda Rapid 2 6 8
Hatchback Nissan Micra 1 3 4
Sedan Nissan Sunny 2 7 9
Hatchback Renault Pulse 2 2 4
Sedan Renault SCALA 1 3 4
Total number of Hatchback (compact size ) cars 17 54 71
Total number of Sedan (midsize size) cars 13 54 67
Grand Total 30 108 138
Finally, data from the 138 out of 195 questionnaires complete in all respects was put to
SPSS ver. 17.0. Eighteen incomplete questionnaires were discarded; thus the effective
recovery rate was 70.76 per cent. Category-wise distribution of sample is given in Table
4.2.
4.3 Hypotheses Formulation
After an interdisciplinary theoretical investigation of the subject under research and an
analysis of existing empirical studies, a set of 23 null hypotheses was developed which
are as shown in Table 4.3.
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Table 4.3: Table of Hypotheses
Hypotheses
H1.1 There is no significant relationship between the car purchase decision and increasing disposable
income of the buyers.
H1.2 There is no significant relationship between the car purchase decision and increasing family
needs of the buyers.
H1.3 There is no significant relationship between the car purchase decision and increasing family size
of the buyers.
H1.4 There is no significant relationship between the car purchase decision and better safety at roads.
H1.5 There is no significant relationship between the purchase decision and matching of car with the
lifestyle and personality of the buyers.
H2.1 There is no significant influence of demographic characteristics on the payment decisions of car
buyers.
H2.2 There is no significant influence of demographic characteristics on the car fuel variant preference
of buyers.
H3.1 There is no significant relationship between the social factors and purchase behavior of the car
buyers.
H3.2 There is no significant relationship between the cultural factors and purchase behavior of the car
buyers.
H3.3 There is no significant relationship between the psychological factors and purchase behavior of
the car buyers.
H3.4 There is no significant relationship between the information sources and purchase behavior of
the car buyers.
H3.5
There is no significant difference in the compact and midsized segment car buyers’ view about
influence of social, cultural and psychological contexts and information sources on purchase
behavior.
H4.1 Product referent attributes of a car brand are given lesser preference than task/outcome referents
by the consumers.
H4.2 Product referent attributes of a car brand are given lesser preference than user/surrogate referents
by the consumers.
H4.3 Task/outcome referent attributes of a car brand are given lesser preference than user/surrogate
referents by the consumers.
H5.1 Concrete attributes are given lesser preference than the abstract attributes associated with a car
brand by the consumers.
H5.2 Surrogate attributes are given lesser preference than the (concrete/abstract) attributes associated
with a car brand by the consumers.
H5.3 Direct benefits are given lesser preference than the indirect benefits associated with a car brand
by the consumers.
H5.4 Surrogate attributes are given lesser preference than the (direct/indirect) benefits associated with
a car brand by the consumers.
H5.5 Benefits are given lesser preference than the (concrete/abstract) attributes associated with a car
brand by the consumers.
H6.1 There is no effect of the brand satisfaction facets on car owners' overall brand satisfaction.
H6.2 There is no effect of the brand satisfaction facets on car owners' brand loyalty intention.
H6.3 There is no effect of the overall brand satisfaction on car owners' brand loyalty intention.
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4.4 Structure of the Instrument
4.4.1 Questionnaire Development
To develop the questionnaire a significant effort was put into so that the instrument may
dynamically extract ample information from the respondents to make appropriate
conclusions. Selected marketing professionals of the car manufacturers, dealers and car
financing agencies were consulted in order to obtain their views on car buyers’
preferences and about the marketing strategies being adopted in car manufacturing
companies to attract and retain their customers. During the informal chat with these
industry people information as to how buyers feel about the marketing initiatives of the
car manufacturers/dealers/financing agencies was extracted and recorded. Once the initial
items generated, the executives were asked to re-confirm about the initiatives and
subsequently framed for the inclusion in the questionnaire. Such discussions enabled the
researcher to gauge the clarity of the tasks, assess the instrument’s qualitative validity,
and omissions and commissions, if any were pinpointed.
Feedback served as a basis for correcting, refining, and enhancing the experimental
items, some of which were eliminated as they were found to represent essentially the
same aspects with only slight wording differences. Some items were modified because
the semantics appeared ambiguous or irrelevant to the marketing context. Finally, items
were added to, and modified in, the list if they were relevant to the buying behavioral
issues or the organizational marketing strategies in the automobile business context. This
method allowed the researcher to learn about buyer's knowledge, beliefs, preferences etc.
about the marketing activities of car manufacturers. This also facilitated to justify some
of extraneous variable and fruitful checks to be imposed.
Items were written to represent each of the attributes for customer brand choice,
satisfaction and loyalty identified in the present study. The language for the items was
taken from the qualitative survey and industry experts responses. Almost items are close-
ended questions because they are easy to answer, take less time to answer, have less
potential to errors, and make comparison, tabulation and analysis easier (Aaker, Kumar,
Day and Leone, 2004). All response ratings were made on a 5-point Likert-type scale.
The items were written in the form of statements or attributes and presented to the
123
subjects to respond. Newly developed items as well as translated and back-translated
items formed the questionnaire for the quantitative analysis of the study. The scales used
for measuring various constructs are discussed at the relevant places in the further
section.
Overall, this self-administered questionnaire comprised of three sections: Section-1
concerned ‘About you’ i.e. the demographic part, by which the participants were asked
about their gender, age, education level, occupation, marital status, family income, and
job position. Section-2 comprised of four parts, and was aimed at examining the purchase
process and brand preferences of car buyers. Part-A was for examining how the social,
cultural, personal and psychological contexts influence the purchase behavior of car
buyers. Part-B included all the marketing stimuli (Integrated marketing mix,
segmentation, targeting and positioning) influence the brand choice of the car buyers.
Part-C concerned about other marketing stimuli such as electronic marketing and
customer relationship management to investigate how car manufacturers can save their
marketing efforts and costs by implementing these in their marketing strategies. Whereas,
Part-D investigated the preference for the important concrete/abstract/surrogate attributes
and functional/experiential/symbolic benefits and the brand associations as the
respondents perceive for their present car brands. And finally, Section-3 included items to
evaluate the level of brand satisfaction and effect of various brand satisfaction facets on
overall satisfaction and loyalty intention of the car owners under study.
4.4.2 Pilot Survey
The present study used standardized scales or survey instruments to collect primary data.
These scales were adapted and customized to suit the study undertaken. In order to
customize the measurement instrument, a pilot test was made to confirm the
completeness and importance of each item in the instrument.
Pilot survey was conducted using the questionnaire over 24 car buyers randomly selected
from the list previously supplied by the car dealers. The importance ratings of each item
were given scores of 1 (not important at all) to 5 (very important). The factor structure of
the initial set of items was examined using this sample. Participants completed
questionnaires and responses were anonymous. The sample included 16.7 per cent female
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within 35-45 years of age. In addition, 62.5 per cent respondents owned hatchback in the
compact size and 37.5 per cent having a sedan in the midsized car segment. The
responses were carefully reviewed and analyzed and as per the results subsequent
changes were made in the questionnaire so as to adapt them to the present study. It was
ensured that all the items were relating to car marketing strategies, clearly
understandable, user-friendly, presented in an appropriate manner and free from
ambiguity. Respondents were also asked to comment on the wording of the items. Their
remarks and suggestions had led to further refinement of the questionnaire in terms of the
wording and flow of the items.
Questionnaires returned from the survey were screened for completeness. Data for each
multi-item instrument were analyzed for internal consistency. Based on respondent
feedback and the analyses, seven of the items were omitted from the survey and language
adjustments were made to four additional items. The results indicated that each item
scored 3 or higher in over 82 per cent of the responses, suggesting that no further
wording revision or new items was needed and establishing instrument completeness.
The instrument had a reliability of 0.832. The items are representative of all aspects of
buyer behavior issues and marketing strategies being measured. Therefore, the instrument
possesses content validity.
4.5 Data Collection Method
Convenience of the car owners was pre-checked by making phone calls and the
questionnaires were got filled at the premise suitable to respondents. In some cases the
researcher had a free access to visit the car owners. Some of the respondents desired to
have the questionnaire through e-mail. The filled up questionnaires were collected back
either personally or respondents returned the same though email.
As the questionnaire was self-explanatory the respondents were asked to respond as per
the instructions in the questionnaire. In order to reduce bias and get frank responses from
the respondents, the following precautions were taken:
the respondents were apprised about the purpose of the study;
125
an attempt was made to include people from different backgrounds in terms of their
demographics;
the respondents were also assured about the confidentiality of the information and
were asked not to mention their names or the dealership from where they purchased
the car; and
in case of any doubts, the researcher was available to clarify.
4.5.1 Period of Data Collection
It took approximately 5 months in collecting the primary data as the process was started
in the last week of December, 2012 and ended by the last week of May, 2013.
4.6 Demographic Statistic
The basic data and sample distribution of the respondents’ ‘gender’, ‘age’, ‘marital
status’, ‘level of education’, ‘occupation’, ‘family income’ and ‘job position’, from
whom the questionnaire was collected is as below:
4.6.1 Characteristics of the Respondents
Female representation (15.22%) is low as compared to males (84.78%) in the sample.
52.9 per cent of the respondents belonged to business community i.e. self-employed and
40.58 per cent are public or private sector employees, whereas only 6.52 per cent were
those who had retired from their jobs. More than half i.e. 52.9 per cent of the sample
consists of the car owners with annual family income less than ₹ 7 lakhs and 36.96 per
cent upto ₹ 15 lakhs whereas only 10.14 per cent of the respondents have more than ₹ 15
lakhs of income. In the sample 17.39 per cent subjects were with supervisory
responsibilities, and 73.19 per cent were middle level managers and only 9.42 percent
were occupying the job positions of Chief Executive Officer. In addition, 55.07 per cent
of the respondents ranged in age from 35-45 years and more than 60 percent of the
respondents were holding the postgraduate or above degrees (Table 4.4).
126
Table 4.4: Car Type/Form and Fuel Variant wise Demographics of the Respondents
Basic Classification
Number of Respondents (Percentage) Total
(N=138) Hatchback Sedan
Petrol Diesel Petrol Diesel
Gender Male 5 (3.62) 52 (37.68) 7 (5.07) 53 (38.41) 117 (84.78)
Female 12 (8.7) 2 (1.45) 6 (4.35) 1 (0.72) 21 (15.22)
Marital
status
Married 6 (4.35) 51 (36.96) 11 (7.97) 54 (39.13) 122 (88.41)
Single 11 (7.97) 3 (2.17) 2 (1.45) 0 (0) 16 (11.59)
Age
< 35 years 2 (1.45) 17 (12.32) 1 (0.72) 2 (1.45) 22 (15.94)
35-45 years 9 (6.52) 31 (22.46) 5 (3.62) 31 (22.46) 76 (55.07)
> 45 years 6 (4.35) 6 (4.35) 7 (5.07) 21 (15.22) 40 (28.99)
Occupation
Employee 9 (6.52) 23 (16.67) 6 (4.35) 18 (13.04) 56 (40.58)
Self-employed 5 (3.62) 29 (21.01) 4 (2.9) 35 (25.36) 73 (52.9)
Retired 3 (2.17) 2 (1.45) 3 (2.17) 1 (0.72) 9 (6.52)
Family
income
< ₹ 7 lakhs 7 (5.07) 43 (31.16) 1 (0.72) 22 (15.94) 73 (52.9)
₹ 7 - ₹ 15 lakhs 9 (6.52) 11 (7.97) 5 (3.62) 26 (18.84) 51 (36.96)
> ₹ 15 lakhs 1 (0.72) 0 (0.0) 7 (5.07) 6 (4.35) 14 (10.14)
Educational
qualification
Diploma or below 2 (1.45) 8 (5.8) 1 (0.72) 3 (2.17) 14 (10.14)
Graduate 3 (2.17) 18 (13.04) 3 (2.17) 17 (12.32) 41 (29.71)
Post graduate or above 12 (8.7) 28 (20.29) 9 (6.52) 34 (24.64) 83 (60.14)
Job Position
CEO 0 (0.0) 0 (0.0) 6 (4.35) 7 (5.07) 13 (9.42)
Department Head 11 (7.97) 40 (28.99) 5 (3.62) 45 (32.61) 101 (73.19)
Supervisor 6 (4.35) 14 (10.14) 2 (1.45) 2 (1.45) 24 (17.39)
Total 17 (12.32) 54 (39.13) 13 (9.42) 54 (39.13) 138 (100)
Further approximately half i.e. 51.45 per cent of the respondents were the pride owners of
hatchback cars. Interestingly, there were more respondents (78.26%) having diesel cars,
out of which maximum car owners were male, in the age group of 35-45 years, holding
the positions of managers and/or self-employed (Table 4.4).
4.7 Data Analysis Methods
The data obtained from the survey questionnaires were coded and fed into the computer
for coding, tabulation and analysis of data. As the questionnaire was not pre-coded, first
the coding of the questionnaire was done and for preparing data for computation, data
definition file was prepared with variable numbers, column numbers, variable codes and
labels. All the items were indexed for final analysis.
SPSS (Version17.0) was used for extensive analysis and statistical tools like χ2 test,
Student’s t-test, analysis of variance (ANOVA) were used for analysis of the data
gathered to bring out the significant influences of study variables amongst compact and
127
midsized segment car owners. Correlations and multiple regressions were used to bring
out the significant relationships and effects of study variables on compact and midsized
segment car owners’ buying behavior, satisfaction and loyalty intention. Percentages,
weighted means, grand means and standard deviations were also used to explain the
direction and extent of the significant differences.
4.7.1 Measures Used in the Study
4.7.1.1 Measure of Personal Information
The personal profile included questions regarding the car owners’ personal background
viz. gender, age, marital status, level of education, occupation, family income, and job
position (in case of family/partnership business, level of job position in their business) in
their present organization and ex-job position (in case of retired people).
Internal Consistency Analysis
Internal consistency was used to assess the reliability of the measurements (seven
constructs) depicting the degree to which they indicate a common latent (unobserved)
construct. It relates to the extent to which an experiment, test or any measuring procedure
yields the same results on repeated trials (Bryman and Cramer, 1999). Cronbach’s α-value
is commonly used for this purpose. Values of alpha range from between 0 and 1.0, with
higher values indicating higher reliability. According to Nunnally (1978), Cronbach’s α-
value must be higher than 0.7. The value of each variable, as measured by each
item/statement, is computed using the reliability analysis procedure. Descriptions of the
dependent variables (V1 to V7) those used in the study are shown in Table 4.5.
Table 4.5: Description of the Respondents’ Demographics Related Variables with
Internal Consistency Results
Variable No. Description No. of items/statements α-value
V1 Gender 2 0.8201
V2 Age 3 0.7673
V3 Marital status 2 0.8076
V4 Level of education 3 0.8726
V5 Occupation 3 0.7267
V6 Family income 3 0.9013
V7 Job position 3 0.8761
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The alpha values range from 0.7267 to 0.9013, which indicates an internal consistency
with the alpha value of more than 0.70, so no items were dropped from above list. These
results are therefore acceptable and are a reliable measure of the constructs. Overall, this
section of the instrument has been proven to be an acceptable instrument through this
test.
4.7.2. Measures of Key Variables
Several methods were used to collect information for the study. Measures used in the
study are buyer behavior stimuli, marketing stimuli, brand associations and car owners’
satisfaction and loyalty intention. All the different scales used to measure various study
variables were standardized with adequate reliability and validity. Inter correlations also
showed generally positive relationships. The scales used to measure the various variables
have been delineated below.
In this research, the design of the questionnaire with 26 questions was primarily based on
multiple-item measurement scales taken from previous researches. A single question was
designed to know the name of the brand/model of respondents’ car and one question to
identify the set of activities they engaged themselves in during the process of car
purchase and brand choice. Eight questions to evaluate buyer behavior stimuli, 3
questions to evaluate marketing stimuli, one question to evaluate brand association
(perceived brand positioning) and 3 questions were designed to evaluate car owners’
brand satisfaction and loyalty intention. Two open ended questions were also presented to
seek the comments/suggestions on the car manufacturers and the study questionnaire.
Seven questions were designed related to personal information of the respondents.
4.7.3 For Investigating the Car Buyers’ Buying Behavior and Brand
Preference
This section of the survey questionnaire comprised of four parts and was prepared to
investigate the buying behavior and the influences on brand preference and distributed to
a cross section of compact and midsized segment car owners.
129
4.7.3.1 Buyer Behavior Stimuli
The objectives of this part of the study were to examine the effect of marketing strategies
of car manufacturers on the payment method and car fuel variant preferences based on
the demographic characteristics of the respondents and to analyze the influences of
social, cultural, psychological and personal factors/sources and effect of ‘country of
origin’ on the car owners.
Internal Consistency Analysis
Internal consistency was used to assess the reliability of the measurements (nine
constructs) depicting the degree to which they indicate a common latent (unobserved)
construct. Descriptions of the dependent variables (V8 to V16) those used in this part of
the study are shown in Table 4.6.
Table 4.6: Description of the buyer behavior stimuli related variables with internal
consistency results
Variable No. Description No. of items/statements α-value
V8 Process of car purchase and brand choice 9 0.8210
V9 Reasons for buying a car 5 0.7619
V10 Payment method preference 2 0.7812
V11 Fuel variant preference 5 0.8013
V12 Buyers’ role in the car purchase decision 4 0.7348
V13 Sources influencing car purchase decision 25 0.8911
V14 Perceived risks 30 0.8450
V15 Risk decreasing factors 8 0.8751
V16 Country of origin effect 4 0.8313
The alpha values range from 0.7348 to 0.8911, which indicates an internal consistency
with the alpha value of more than 0.70, so no items were dropped from above list. These
results are therefore acceptable and are a reliable measure of the constructs. Overall, this
part of the instrument has been proven to be an acceptable instrument through this test.
4.7.3.2 Marketing stimuli
Having described the buyer behavior stimuli, this part of the second section of the study
was to identify important marketing stimuli for the car brand preference of the car
owners.
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Internal consistency analysis
Internal consistency was used to assess the reliability of the measurements (eight
constructs) depicting the degree to which they indicate a common latent (unobserved)
construct. Descriptions of the dependent variables (V17 to V24) those used in this part of
the study are shown in Table 4.7.
The alpha values range from 0.7737 to 0.8911, which indicates an internal consistency
with the alpha value of more than 0.70, so no items were dropped from above list. These
results are therefore acceptable and are a reliable measure of the constructs. Overall, this
section of the instrument has been proven to be an acceptable instrument through this
test.
Table 4.7: Description of the Marketing Stimuli Related Variables with Internal
Consistency Results
Variable No. Description No. of items/statements α-value
V17 Product referent 13 0.8164
V18 Task or outcome referent 12 0.8739
V19 User/Surrogate referent 6 0.7692
V20 Customer service 5 0.7737
V21 Price 3 0.8911
V22 Place 4 0.8274
V23 Promotion 7 0.8625
V24 Post purchase 6 0.8836
4.7.3.3 Other Marketing Stimuli
Two of the marketing stimuli ‘electronic marketing’ and ‘customer relationship
management’ were also included along with the marketing mix stimuli to find the
important integrated marketing attributes and their influence on the brand preference
behavior of compact and midsized segment car buyers in this part of the study.
Internal Consistency Analysis
Internal consistency was used to assess the reliability of the measurements (two
constructs) depicting the degree to which they indicate a common latent (unobserved)
construct. Descriptions of the dependent variables (V25 to V26) those used in this part of
the study are shown in Table 4.8.
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Table 4.8: Description of the Other Marketing Stimuli Related Variables with
Internal Consistency Results
Variable No. Description No. of items/statements α-value
V25 Electronic marketing 4 0.8891
V26 Customer relationship management 10 0.7391
The alpha values range from 0.7391 to 0.8891, which indicates an internal consistency
with the alpha value of more than 0.70, so no items were dropped from above list. These
results are therefore acceptable and are a reliable measure of the constructs. Overall, this
part of the instrument has been proven to be an acceptable instrument through this test.
4.7.3.4 Perceived Brand Positioning
After analyzing the buyer behavior stimuli and integrated marketing stimuli, this last part
of the second section of the study was to investigate how the respondents associated the
car brands with the features and benefits intended in the study.
Internal Consistency Analysis
Internal consistency was used to assess the reliability of the measurements (three
constructs) depicting the degree to which they indicate a common latent (unobserved)
construct. Descriptions of the dependent variables (V27 to V29) those used in this part of
the study are shown in Table 4.9.
Table 4.9: Description of the Brand Association Related Variables with Internal
Consistency Results
Variable No. Description No. of items/statements α-value
V27 Concrete and abstract attributes 8 0.9241
V28 Direct/Indirect Benefits 8 0.8769
V29 Surrogate Attributes 4 0.8832
The alpha values range from 0.8769 to 0.9241, which indicates an internal consistency
with the alpha value of more than 0.70, so no items were dropped from above list. These
results are therefore acceptable and are a reliable measure of the constructs. Overall, this
part of the instrument has also been proven to be an acceptable instrument through this
test.
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4.7.4 For Investigating the Car Buyers’ Brand Satisfaction and Loyalty
Intention
The objectives of the last section of the study were to analyze the level of satisfaction
among the car owners on ten brand satisfaction facets under study and the effect of these
facets on the respondents’ brand satisfaction and loyalty intention.
Internal Consistency Analysis
Internal consistency was used to assess the reliability of the measurements (fourteen
constructs) depicting the degree to which they indicate a common latent (unobserved)
construct. Descriptions of the dependent variables (V30 to V43) those used in this part of
the study are shown in Table 4.10.
Table 4.10: Description of the Car Owners’ Satisfaction and Loyalty Intention
Related Variables with Internal Consistency Results
Variable No. Description No. of items/statements α-value
V30 Top three brands considered while purchasing car 12 0.8825
V31 Point of purchase service quality 9 0.8194
V32 Design of the car 11 0.7967
V33 Engine performance 5 0.8832
V34 Comfort and functionality of the car 8 0.8616
V35 Safety 10 0.9217
V36 Quality of the car 7 0.7423
V37 Brand image 7 0.7827
V38 Dealer/after-sale service quality 13 0.8432
V39 Costs of ownership 5 0.8399
V40 Value for money 2 0.8446
V41 Overall brand satisfaction 3 0.8192
V42 Brand loyalty intention 3 0.8764
V43 Future car preference 4 0.7365
The alpha values range from 0.7365 to 0.9217, which indicates an internal consistency
with the alpha value of more than 0.70, so no items were dropped from above list. These
results are therefore acceptable and are a reliable measure of the constructs. Overall, the
last section of the instrument has also been proven to be an acceptable instrument through
this test.
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4.8 Limitations of the Study
As limitations are inherent in all research investigations, it is important that these be
brought to light. It should be noted that the current research is also bound by several
limitations, which can be turned into avenues for further analysis.
Methodologically, using a single informant to analyze company marketing strategies can
be regarded as a significant limitation. Studies suggest that significant measurement error
and unreliability may exist in single-respondent measures (Gerhart, 1999). In addition,
the inability to draw a random sample of car owners is a well-known problem facing
researcher using survey methodologies. Since so many male, married, self-employed and
post-graduation or above education degree holder respondents, having diesel cars replied
to the survey and so few female, single, employees and graduation or below education
degree holders having cars with petrol as fuel variant, the survey may not accurately
reflect the perceptions of buyers about car companies operative in India.
There are limitations in the information supplied as well. The study was conducted on the
basis of perceptions of the respondents and observations made by the researcher. Though,
every effort has been made for getting correct responses for each question included in the
schedule but even then the researcher cannot be sure about the possibility of respondents’
bias in reporting while imparting information. Similarly, the researcher may also make
observations according to her own set of mind and, therefore, the prejudices of the
researcher in making observations always influence the rationality of the collected
information. In addition, this research was only concerned with few organizations under
study and thus it is hard to establish whether the marketing strategies also are same in
other organizations. Although this was checked with the extensive literature review
conducted on attributes of marketing plans but cannot be generalized. The concept of
consumer buying phenomenon is also found to be quite complex and consists of a wider
scope than the current research study.
The small sample size should be noted also. The sample of the study is relatively small
and to certain extent confined to NCR-Delhi that poses difficulty in generalization of
results. The respondents’ provided information on their brand choice phenomenon and
perceived influence of car manufacturers’ marketing strategies in regard to the hatchback
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and sedan cars in compact and midsize segment. Because of this small size, the sampled
companies in the current research may not be sufficiently representative to render a
comprehensive conclusion. Different samples may indeed trigger different results
because the marketing practices differ widely across car segments. Therefore, it is
necessary not only to expand the size of the sample, but also, to cover diverse segments
of the vehicles.
Some caveats also apply to the questionnaire of the study. The questionnaire does not
contain any negative question, and the same scale was used for all the factors so routine
ticking by respondents and its impact cannot be ruled out. Some elements of inaccuracy
might have crept in because of wrong interpretations, of questions on the part of
respondents. The generalizations occurring from this study are more conducive and are
based on the perceptions of a limited particular group of car owners who were included.
These limitations should be duly considered by future researchers in this area.
4.9. Expected Contribution from the Study
By brining to fore the impact of marketing strategies on car buyers, the car manufacturers
will be in a better position to take initiatives for improving effectiveness of their
marketing strategies. This study on the marketing strategies in the post liberalization era
will be of interest to the academicians and researchers on one hand, and the senior
marketing executives and marketing professional of the car manufacturers in India on the
other who are concerned with implementing marketing plans at their organizations. To
the academics, it highlights the role played by the various marketing strategies towards
customer’s perception, attitude and ultimate buying behavior. Clearly, this study should
help the senior marketing executives and marketing professional of car manufacturers in
general and those of the selected companies investigated in this study, in particular in
resolving a series of problems such as selection of appropriate marketing strategies and
innovating in terms of product and marketing techniques from time to time. Both estab-
lished and new entrants might use the synthesis to review efforts underway in both the
multinational and domestic car companies. The purpose of the present study is to
document the experiences of selected car manufacturers, as well as experiences of car
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buyers. Analysis of such documented information at least gives some idea of strength of
the brand and the effect of the marketing strategy on consumer’s perception.
Moreover, in the post-liberalization scenario of Indian market it is evident that there is
huge growth potential for car manufacturers, as both domestic and multinational
manufacturers, are presented with great challenges and opportunities in the near future.
Industry body SIAM had lowered the growth projections for auto sales in fiscal year
2012, due to high fuel prices, interest rates and slowing economic growth which continue
to defer buyers from car purchases. Thus it is very helpful to determine the car consumer
preferences to determine which segment of the potential consumer market prefers which
model/brand of a car.
Armed with a greater knowledge and understanding of the post liberalized automobile
industry environment, the findings of this study should prove useful to both marketers
and car manufacturers to have a few detailed insights into the factors influencing
consumer preference and choice as the inflation is not under control and the cost of
vehicle ownership is high.
4.10. Organization of the Study
This research is structured as follows:
Chapter I include the introduction to the automobile industry, need for undertaking such
a study along with a brief description of the literature gaps arising out of the
marketing strategies of car manufacturers, focus and framework of the study.
Chapter II is devoted to profile the position of Indian automobile industry in post
liberalization era and includes the detailed analysis of the effects of
globalization, liberalization and deregulation policy of India on the growth of
automobile industry.
Chapter III presents the findings of the literature concerning several key marketing
variables, which have been found to influence the car buyers’ preference,
satisfaction and loyalty intention.
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Chapter IV covers the research methodology including, research design, universe,
survey population and sampling, content analysis, data collection and analysis
as adopted for the present study.
Chapter V of the study presents the micro analysis of the collected data for the study.
Major observations, inferences drawn and findings based on the objective wise
observations are depicted in this chapter of the report.
Chapter VI presents the summary of the findings, conclusions drawn, recommendations
for the car manufacturers and the future research avenues.
Appendices specifying the Research Instrument and Bibliography have been enclosed in
the end of the thesis.