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Volume:01, Number:05, Sep-2011 Page 267 www.theinternationaljournal.org A STUDY ON POST PURCHASE BEHAVIOUR OF CUSTOMERS OF HYUNDAI i10 IN CHENNAI CITY, TAMILNADU, INDIA-AN EMPIRICAL STUDY Dr.S.Ramanathan, Dean, CARE School of Business Management, Trichy, Tamilandu, India Dr.P.Balasubramaniyan, Associate Professor, Department of Commerce, Hindu College, Tirunelveli, Tamilnadu, India Dr.S.Balakrishnan, Associate Professor, Vivekananda Institute of Information and Management studies, Tiruchencode Abstract This study focuses on the post purchase behavior of customers of Hyundai with special reference to the new variant i10 in Chennai city. This study helps to identify the post purchase behavior of customers of Hyundai i10 especially in Chennai city. This study also helps to identify the satisfaction level of customers of Hyundai i10 and the effectiveness of after sales service. The sample size was taken as 150. The data from the customers were collected through questionnaire. Descriptive research was adopted in conducting the study. The statistical tools such as percentage analysis, chi square analysis and multiple regression analysis were used for the analysis of the study. This study also suggests the ways to improve the satisfaction level and after sales service of customers of i10 and gives a clear picture of the opinion of the customers towards Hyundai i10.

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Page 1: 233 666-1-pb

Volume:01, Number:05, Sep-2011 Page 267 www.theinternationaljournal.org

A STUDY ON POST PURCHASE BEHAVIOUR OF CUSTOMERS OF

HYUNDAI i10 IN CHENNAI CITY, TAMILNADU, INDIA-AN

EMPIRICAL STUDY

Dr.S.Ramanathan,

Dean, CARE School of Business Management,

Trichy, Tamilandu, India

Dr.P.Balasubramaniyan,

Associate Professor,

Department of Commerce,

Hindu College,

Tirunelveli,

Tamilnadu, India

Dr.S.Balakrishnan,

Associate Professor,

Vivekananda Institute of Information and Management studies,

Tiruchencode

Abstract

This study focuses on the post purchase behavior of customers of Hyundai with special

reference to the new variant i10 in Chennai city. This study helps to identify the post purchase

behavior of customers of Hyundai i10 especially in Chennai city.

This study also helps to identify the satisfaction level of customers of Hyundai i10 and the

effectiveness of after sales service.

The sample size was taken as 150. The data from the customers were collected through

questionnaire. Descriptive research was adopted in conducting the study. The statistical tools

such as percentage analysis, chi square analysis and multiple regression analysis were used

for the analysis of the study.

This study also suggests the ways to improve the satisfaction level and after sales service of

customers of i10 and gives a clear picture of the opinion of the customers towards Hyundai

i10.

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Volume:01, Number:05, Sep-2011 Page 268 www.theinternationaljournal.org

Introduction

This study focuses on the post purchase behavior of customers of Hyundai with

special reference to the new variant i10 in Chennai city. This study helps to identify the post

purchase behavior of customers of Hyundai i10 especially in Chennai city.

This study also helps to identify the satisfaction level of customers of Hyundai i10

and the effectiveness of after sales service.

The sample size was taken as 150. The data from the customers were collected

through questionnaire. Descriptive research was adopted in conducting the study. The

statistical tools such as percentage analysis, chi square analysis and multiple regression

analysis were used for the analysis of the study.

This study also suggests the ways to improve the satisfaction level and after sales

service of customers of i10 and gives a clear picture of the opinion of the customers towards

Hyundai i10.

The automotive Industry directly and indirectly employs 13 million individuals in

India. The industry is valued at about US$ 35 billion contributing about 3.1% of India’s GDP

(nominal). India’s cost-competitive auto components industry is the 2nd largest

in the

world. In addition, India’s motorcycle market is also the 2nd largest

in the world with

annual sales of around 5million units (Bernard: 2008)

The high growth in the Indian economy has resulted in all major international car

manufacturers entering the Indian market. General Motors, Ford, Toyota, Honda, Hyundai

and others set up manufacturing plants. Rolls Royce, Bentley and Maybach are examples of

the few high end automobile manufacturers which entered India in the recent years. Then on

January 2008, Tata Motors launched Tata Nano, as the world’s cheapest car in the passenger

car segment at $2500.

Maruti registered a 2.1% decline in volumes while Hyundai’s i10 wrested the market

share in the A2 segment in March 2008.Hyundai Motor India crossed the 500,000 mark in

exports. HMIL doubled its production capacity from 300,000 units to 600,000 units p.a.

This has led to an increased target production of 5.3 lakh units and export to 2.12 lakh

units with the i10, Santro, Getz and Accent models on the export list for 2008. Some of the

major characteristics of Indian Automobile sector are: Second largest two-wheeler market in

the world. Also it ranked as Fourth largest commercial vehicle market in the world and 11th

largest passenger car market in the world. It is expected to become the world's third

largest automobile market by 2030, behind only China and the US. (Source:

www.iloveindia.com/economy of India)

The passenger car industry in India has grown steadily during the last few years

except during the year 2000-01 when there was negative growth due to global economic

recession. Passenger car industry in India has 15 manufacturers with an installed capacity of

12, 37,000 units.

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Volume:01, Number:05, Sep-2011 Page 269 www.theinternationaljournal.org

Hyundai Motor India Limited (HMIL) and i10 Branded car

HMIL is a wholly owned subsidiary of Hyundai Motor Company, South Korea and is

the second largest and the fastest growing car manufacturers in India. HMIL presently

markets 34 variants of passenger cars across segments. The production management

processes at Hyundai Motor India are overlaid with an organization-wide implementation of

manufacturing best practices like Just-in-time inventory management, Kaizen, TPM and

TQM, that helps in making the world's best cars in India. HMIL has many awards in its

bouquet. Hyundai’s i10 has captured the entire gamut of the most prestigious of Indian

automobile awards with its distinction and performance.

Taking advantage of the demand for more small cars in the Indian auto industry,

Hyundai rolled out i10 with a powerful engine and an upscale interior. It is one of India's

most popular 'B+' segment small cars. It is built to take on sub-compact segment cars such as

the Chevrolet Spark, Maruti Suzuki Zen Estilo, Maruti Suzuki WagonR, and Tata Indica

Xeta.

The well-equipped i10 is an affordable small car and a perfect combination of

superior technology, roomy interiors, and the stamp of reliability. It gains the confidence of

car enthusiasts with its aerodynamic design, array of standard convenience and comfort

features, and luxurious fittings. It comes with all elements that would please a buyer

looking for a small family car at an affordable price.

Need for the Study

Understanding of consumer negative perceptions, fears, inhibitions, and anxieties is

one of the critical aspects of consumer buying behavior.

Marketers also need to understand the consumer’s preferences and fears, needs and

perceptions thoroughly before attempting to deal with their behavior. Here arises the

need for the study.

The study helps the Company to know about satisfaction level and preference of the

customers of i10 and the customers’ expectations regarding the after sales service.

The study has the following objectives

To identify the post purchase behavior of customers of Hyundai i10 car.

To identify the customers satisfaction level and

To find the effectiveness of after sales service provided to Hyundai i10.

Hypotheses of the Study

There is significant relation between income and factors influencing customer to buy

Hyundai i10

There is significant relation between income and people perception about i10 value

There is significant relation between age and customer expectation.

Overall satisfaction of the customers and the factors that contribute overall

satisfaction was positively contributed.

Overall satisfaction of the customers with delivery time and after sales service has

positive contribution

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Review of previous studies

There are number of studies conducted on the researched areas on different brands all

over the world. Here the researchers concentrate few of meaningful literature to find out the

research gap. Engel et al. define consumer behaviour as "... those activities directly involved

in obtaining, consuming, and disposing of products and services, including the decision

processes that precede and follow these actions." (1993, p. 4). Thus, in the marketing context,

the term 'consumer behaviour' refers not only to the act of purchase itself but to any pre- and

post-purchase activities (Foxall, 1985, 1997; Ennew, 1993). Pre-purchase activities would

include the growing awareness of a want or need, and the search for and evaluation of

information about the product and brands that might satisfy it. Post-purchase activities would

include the evaluation of the purchased item in use, and any attempt to reduce feelings of

anxiety which frequently accompany the purchase of expensive and infrequently bought

items like consumer durables. Each of these has implications for purchase and repurchase and

they are amenable to marketing communications and the other elements of the marketing

mix. Our understanding of both consumer behaviour and the capacity of marketing activities

to influence it rest on knowledge of the ways in which consumers form decisions (Foxall,

1985, 1997).

Research anchored in the satisfaction/dissatisfaction and complaining literature has

focused on the selection of WOM as a post-purchase complaint option. In other words,

negative WOM is thought to be one form of customer complaining behaviour. Hirschman

(1970) proposed that customers can either voice their dissatisfaction or exit the relationship

when faced with unmet expectations. More recently, Richins (1983) differentiates between

three reactions to dissatisfaction (1) switching brands or refusing to repatronise the offending

store, (b) making a complaint to the seller or to a third party, and (c) telling others about the

unsatisfactory product or retailer (negative WOM). This tripartite taxonomy of complaint

style was also found by Singh (1988) when applying cluster analysis to complaints data. The

potential impact of these responses on a firm can be significant. Data reported by Diener and

Greyser (1978) indicated that 34 percent of those dissatisfied with a personal care product

told others about their dissatisfaction. If the number of consumers experiencing

dissatisfaction is high enough, such responses may have lasting effects in terms of negative

image and reduced sales for the firm (Richins, 1983).

A study by Richins (1983) indicates that the responses to dissatisfaction are related to

the nature of the dissatisfaction problem. In the case of minor dissatisfaction, consumers'

responses are often minimal too. Consumers' do not complain nor do they spread negative

WOM. When the dissatisfaction is serious enough, consumers tend to complain, regardless of

other factors in the situation. It is at moderate levels of dissatisfaction that management

policy may have the most impact. If complaints are encouraged (e.g. toll-free telephone

numbers to receive customer comments), the retailer has the chance to remedy legitimate

complaints and win back a customer who may also spread positive WOM to others. Research

by TARP (1979) showed that even if the complaint is not settled to the consumer's

satisfaction, he/she is more likely to repurchase than if no complaint is made. However, if

complaints are discouraged, fewer consumers may indeed complain; instead, they may tell

others of their unsatisfactory experiences and may not repurchase the product. Richins (1983)

also showed that negative communication was more likely when the consumer placed the

blame for dissatisfaction directly on the manufacturer or retailer and/or when the consumer

believed that complaining directly to the source would not do any good.

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Watkins and Liu (1996) provide general support for the contention that consumers

dissatisfied with durables will exhibit higher levels of voice and lower levels of exit than for

non-durables. Singh (1990) sees this phenomenon explained by the relative investment of the

consumer in the product and thus the value of any redress.

As already noted, after purchases are made, consumers often engage in a post-

purchase evaluation of the product. If the product's perceived performance is below the

consumer's expectation, he/she might sense dissonance. Since such psychological discomfort

is not pleasant, the consumer will be motivated to act to reduce the amount of dissonance

he/she is experiencing. One strategy for customers who experience discomfort from cognitive

dissonance is to seek WOM from sources which can reduce the discomfort (Buttle, 1998;

Dibb et al., 1997; Assael, 1992).

CONCEPTUAL FRAMEWORK OF POST PURCHASE BEHAVIOUR

Post-purchase behavior involves all the consumers’ activities and the experiences that

follow the purchase. Usually, after making a purchase, consumers experience post-purchase

dissonance. In other words, they regret their purchase decision. The reasons for high post-

purchase dissonance can be attractiveness and performance of forgone alternatives, difficult

purchase decision, large number of alternatives, etc. A high level of post-purchase

dissonance is negatively related to the level of satisfaction the consumer draws out of product

usage. While experiencing post-purchase dissonance, consumers become actually aware of

the marketers’ communication. To reduce post–purchase dissonance, consumers may

sometimes even return or exchange the product. Marketers, therefore, can use these

opportunities to reduce consumers’ risk perception by way of good return/exchange policies

and reduce their post-purchase dissonance by messages targeted at this segment of their

consumers.

Post-Purchase Evaluation - Cognitive Dissonance

The final stage is the post-purchase evaluation of the decision. It is common for customers to

experience concerns after making a purchase decision. This arises from a concept that is

known as “cognitive dissonance”. The customer, having bought a product, may feel that an

alternative would have been preferable. In these circumstances that customer will not

repurchase immediately, but is likely to switch brands next time. To manage the post-

purchase stage, it is the job of the marketing team to persuade the potential customer that the

product will satisfy his or her needs. Then after having made a purchase, the customer should

be encouraged that he or she has made the right decision.

Post Purchase Behavior

The post purchase behavior and research shows that there exists a common trait amongst

purchasers of products. Manufacturers of products clearly want recent consumers to feel

proud of their purchase; it is therefore just as important for manufacturers to advertise for the

sake of their recent purchaser so consumers feel comfortable that they own a product from a

strong and reputable organization. This limits post purchase behavior.

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No two organizations can have similar set of rules for maintaining relationship. Even if on a

particular occasion a situation prompted a particular behavior, it is not necessary that a

similar behavior is necessary on another occasion. The time, place and group of person might

be the same but behave in different way, though circumstances and situations might be

identical. To a great extent relationship depends upon the: character of contracting parties.

This is thus a study of human behavior and forms part of the behavioral science.

Customers Expectations

Customer’s expectation plays a major role in determining their post purchase behavior. If the

product matches the expectations of the customer then the customer get satisfied, if it exceeds

their expectation then they will be delighted likewise if the product doesn’t matches their then

they will be dissatisfied.

Research suggests that customers go through a five-stage decision-making process in any

purchase. Post purchase decision is very essential and important for any manufacturer by

which the product fulfilled the consumers’ demand and preferences. This model is important

for anyone making marketing decisions. It forces the marketer to consider the whole buying

process rather than just the purchase decision (when it may be too late for a business to

influence the choice!)The model implies that customers pass through all stages in every

purchase. However, in more routine purchases, customers often skip or reverse some of the

stages.

Research methodology

The questionnaire had been administered with strict accordance without deviating from

the research objectives and recording the response precisely as given in terms of

measurement that one called for. The questionnaires were circulated among the customers

who came for servicing their cars in various service centers, situated in and around Chennai.

The sampling size was restricted to 150. The sampling technique used was Simple Random

Sampling. In this study primary data along with some secondary data had been used to carry

out the research work. Primary data had been collected through the structured questionnaire

designed especially for measuring post purchase behavior of the customers of Hyundai i10 in

Chennai City alone. Secondary data was collected from the journals, magazines, old

research reports and from the Company website.

Tools used for the study

Decision making scale of Likert’s type, constructed and validated by investigators, has been

used. The reliability of the tool is found to be 0.82. The scale consists of 17 statements with

one open ended question along with personal details of the respondents.

Analysis of the data

Descriptive (Table 1 – Table 7) statistics and Inferential statistics i.e., chi square test (Table 8

and 9) have been employed for testing the hypotheses. The data were analyzed using

Percentage Analysis (Table 1 – Table 7) Percentage Analysis had been employed to assess

the Gender, age, occupation, income, factors influence the customers to go in for Hyundai

i10, factors that motivated the customers to go in for Hyundai i10 and the customers’

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satisfaction level towards after sales service of Hyundai i10. Chi-square test was employed to

identify if there was any significant difference between income and motivating factors,

income and customers’ perception, income and customers’ satisfaction, and age and

customers’ satisfaction. Regression test was employed to identify if there exists any positive

contribution between the factors taken for the study as well as the delivery time with after

sales service.

Limitations of the Study

The study has been limited to the customers within Chennai city with a sample

size of 150.The study deals only about the post purchase behavior of customers of

Hyundai i10 and not for the other variants of Hyundai.

Summary of Findings

Of the 150 respondents, 87 were male and the rest were female.

82% of the respondents, whose age group is 25 and above have owned Hyundai i10.

65% of the respondents, who, owned Hyundai i10 are, employed somewhere.

Surprisingly, 60% of the respondents whose income was less than Rs. 5 lakhs have

owned this car.

The factors such as stylish, space and interior, comfort and technology have

influenced 91% of the respondents to switch over their preference to Hyundai i10.

The motivating factors such as stylish, special features, brand image, comfort and

mileage and after sales service were some of the factors, which influenced 62% of the

respondents to prefer Hyundai i10.

94% of the respondents agreed that Hyundai i10 is a fuel efficient car.

All the respondents were agreed in the same line that Hyundai i10 is a spacious car.

All the respondents were agreed that Pick up of the car was excellent.

93% of the respondents were agreed that the said car fulfills the expectation of the

customer.

100% of the respondents were agreed that Hyundai i10 is value for their money.

86% of the respondents were satisfied with after sales service.

91% of the respondents have recommended their close circle to go in for Hyundai i10.

Income was found as one of the motivating factors, which influence the respondents

to prefer Hyundai i10.

It was found that performance, interior, gear box and suspension contributes

positively towards the overall satisfaction of the customer experience with Hyundai

i10.

It was found that both delivery time and after sales service contributes positively

towards the overall satisfaction of customers.

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Table No.1 Classification of Respondents by Gender

Gender No. of Respondents Percentage

MALE 87 58

FEMALE 63 42

Table No.2 Classification of Respondents according to Age

Age Classification No. of Respondents Percentage

Under 25 27 18

26 – 35 63 42

36 - 50 41 27

50 & above 19 13

Total 150 100

Table No.3 Classification of Respondents according to the Occupation

Occupation No. of Respondents Percentage

Self employed 53 35

Employed 97 65

Total 150 100

Table No.4 Classification of Respondents according to Income

Income Classification No. of Respondents Percentage

< 5lakhs 91 60

5 - 7lakhs 31 21

7 – 10lakhs 27 18

Above 10lakhs 1 1

Total 150 100

Table No.5 Factors Influenced the Customers who used other Cars and switched over to

Hyundai I10

Factors No. of Respondents Percentage

European style 31 46

Space & interior 17 25

Comfort 9 14

Technology 4 6

Others 6 9

Total 67 100

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Table No.6 Factors motivated the customers to buy Hyundai I10

Factors No. of Respondents Percentage

Price 12 8

Brand image 10 7

Features 29 19

After sales service 11 7

Comfort 12 8

Power steering 2 2

Mileage 13 9

Safety 0 0

Power 0 0

Space 7 4

Drivability 7 4

Word of mouth 3 2

Style 33 22

Advertisement 9 6

Brand ambassador 2 2

Availability of service outlet 0 0

Easy availability of finance 0 0

Others 0 0

Total 150 100

Table No.7 Customers Satisfaction level towards after Sales Service

Satisfaction Level No. of Respondents Percentage

Highly satisfied 37 25

Satisfied 91 61

Neither/ nor dissatisfied 22 14

Dissatisfied 0 0

Highly dissatisfied 0 0

Total 150 100

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Table No.8

Overall satisfaction of the customers and factors that contributes to Overall satisfaction

Model Summary

.966a .933 .926 .132

Model

1

R R Square

Adjusted

R Square

Std. Error of

the Estimate

Predictors: (Constant), pick, design, interior, space,

perf or, gear, suspensi, ac, handling, engine, creat ,

right, dy na, power, fuel

a.

ANOVAb

32.758 15 2.184 125.304 .000a

2.335 134 .017

35.093 149

Regression

Residual

Total

Model

1

Sum of

Squares df Mean Square F Sig.

Predictors: (Constant), pick, design, interior, space, perf or, gear, suspensi, ac,

handling, engine, creat , right, dy na, power, fuel

a.

Dependent Variable: OVERSb.

Variables Entered/Removedb

pick,

design,

interior,

space,

perf or,

gear,

suspensi,

ac,

handling,

engine,

creat, right ,

dyna,

power, fuela

. Enter

Model

1

Variables

Entered

Variables

Removed Method

All requested v ariables entered.a.

Dependent Variable: OVERSb.

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SATISFACTION = 0.682performance + 0 .446 interior + 0.302 gearbox + 0.211 suspension

+ 0.103 ride quality - 0.063 design - 0.097 power - 0.134 engine – 0.081fuel efficiency – 0

.092 dynamic ability - 0.150 creature comfort - 0.133 space - 0.010 handling – 0.132 a/c -

0.070 pickup

Table No.9.Overall satisfaction level of the customers with delivery time and after sales

service

Variables Entered/Removedb

ASS, LOSa . Enter

Model

1

Variables

Entered

Variables

Removed Method

All requested v ariables entered.a.

Dependent Variable: OVERSb.

Model Summary

.718a .515 .509 .340

Model

1

R R Square

Adjusted

R Square

Std. Error of

the Estimate

Predictors: (Constant), ASS, LOSa.

Coefficients a

.226 .066 3.425 .001

-.063 .053 -.071 -1.191 .236

-.097 .070 -.186 -1.387 .168

.302 .059 .480 5.114 .000

-.134 .073 -.183 -1.840 .068

.682 .051 .916 13.400 .000

-.081 .084 -.153 -.964 .337

-.092 .078 -.178 -1.176 .242

-.150 .102 -.192 -1.480 .141

-.133 .047 -.169 -2.837 .005

.446 .075 .485 5.948 .000

.211 .042 .355 5.018 .000

.103 .062 .181 1.667 .098

-.010 .045 -.017 -.224 .823

-.132 .054 -.211 -2.426 .017

-.070 .067 -.112 -1.037 .301

(Constant)

design

power

gear

engine

perfor

fuel

dyna

creat

space

interior

suspensi

Ride

handling

ac

pick

Model 1

B Std. Error

Unstandardized Coefficients

Beta

Standardized Coefficients

t Sig.

Dependent Variable: OVERS a.

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SATISFACTION = 0.444 delivery time + 0.028 after sales service.

Conclusion and suggestions

Some more choice of colors of car can be made available to the car pearl white, cycus

grey, quartz black, metallic midnight black, brilliant yellow etc. because the

customers felt that more colors are available among the competitors.

The price of the car is ok now but if the company reduces the price of the car, for sure

it will increase the sales because nowadays cars are available at very lower price in

the market from the competitors by focusing on middle income group.

Most of the customers do not have enough time to let their car for service to the

service center. In order to please the customers the company can introduce an

innovative method. Through this method the company can give a centralized helpline

number to their customers especially for service. So, if the customers wants service to

their car or they wants to repair their car they can call to that number and by telling

their location the company personnel can go directly to that location and they can pick

the car and service the car. Finally, the service personnel should let their car back to

the place of the customer after service. There can be a piece of metal till the engine

block so that the engine won’t be affected in case of any accident as it is few inches

ahead of the dash board. The company can increase the number of service centers in

Chennai. The service personnel should maintain prompt delivery after servicing the

cars.

Therefore the study categorically said that i10 is the most successful car of Hyundai motors

and it beats the success of santro in all aspects. On the whole the customers of Hyundai i10

are satisfied with the car after purchase and this itself a great achievement to the company. It

gives the feel of luxury to the customers and a convenience of smaller cars in the crowded

area. It is the most stylish car ever manufactured by Hyundai when compared to other cars.

ANOVAb

18.082 2 9.041 78.125 .000a

17.011 147 .116

35.093 149

Regression

Residual

Total

Model

1

Sum of

Squares df Mean Square F Sig.

Predictors: (Constant), ASS, LOSa.

Dependent Variable: OVERSb.

Coefficients a

.386 .090 4.267 .000

.444 .069 .687 6.463 .000

.028 .083 .036 .337 .737

(Constant)

DT

ASS

Model 1

B Std. Error

Unstandardized Coefficients

Beta

Standardized Coefficients

t Sig.

Dependent Variable: OVERS a.

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