Study of the effects of customer service and product quality on customer satisfaction and loyalty

Abstract

In this research, we address the following questions that are becoming increasingly important to managers in automotive industries: is there a relationship between customer service and product quality with customer satisfaction and loyalty in the context of the Indian automotive industry? If yes, how is the relationship between these four variables? The automotive industry in India is one of the largest in the world and one of the fast growing globally. Customer satisfaction and loyalty are the most important factors that affect the automotive industry. On the other hand, Customer service can be considered as an innate element of industrial products. Customer service quality, product quality, customer satisfaction and loyalty can be measured at different stages, for example, at the beginning of the purchase, and one or two years after purchase. The population of the study is all of the Tata Indica car owners in Pune. Hypotheses of the study will be analyzed using regression and ANOVA. Results of the study show that there are high positive correlation between the constructs of costumer service and product quality with costumer satisfaction and loyalty.

Full text

International Journal of Humanities and Social Science Vol. 1 No. 7; [Special Issue –June 2011]
253
Study the Effects of Customer Service and Product Quality on Customer
Satisfaction and Loyalty
Asghar Afshar Jahanshahi (Corresponding Author)
PhD Scholar in Business Administration
Department of Commerce & Research Center
University of Pune, India
E-mail: Afsharasghar@yahoo.com, Phone: 00919890581970
Mohammad Ali Hajizadeh Gashti
Department of Management, Faculty of Management and Human Resource Development
Universiti Teknologi Malaysia, Malaysia,
E-mail: ahgmohammad2@live.utm.my
Seyed Abbas Mirdamadi
PhD Scholar in Banking and Finance
Department of Commerce & Research Center, University of Pune, India
E-mail: mirdamadiabbas@yahoo.com
Khaled Nawaser
MBA - Marketing Management, University of Pune, India
E-mail: khaled1356@yahoo.com
Seyed Mohammad Sadeq Khaksar
Master of Information Technology Management, University of Sistan & Bluchestan, Iran
E-mail: sms_khaksar@yahoo.com
Abstract
In this research, we address the following questions that are becoming increasingly important to managers in
automotive industries: is there a relationship between customer service and product quality with customer
satisfaction and loyalty in the context of the Indian automotive industry? If yes, how is the relationship
between these four variables? The automotive industry in India is one of the largest in the world and one of
the fast growing globally. Customer satisfaction and loyalty are the most important factors that affect the
automotive industry. On the other hand, Customer service can be considered as an innate element of
industrial products. Customer service quality, product quality, customer satisfaction and loyalty can be
measured at different stages, for example, at the beginning of the purchase, and one or two years after
purchase. The population of the study is all of the Tata Indica car owners in Pune. Hypotheses of the study
will be analyzed using regression and ANOVA. Results of the study show that there are high positive
correlation between the constructs of costumer service and product quality with costumer satisfaction and
loyalty.
Key Words: Product Quality, Customer Service Quality, Customer Satisfaction, Loyalty, Tata Indica.
1. Introduction
What is the relation between four concepts of product and service quality, customer satisfaction and loyalty in
Indian automotive industry? The literature of this study can be divided into two main categories:
1) The effect of customer service quality and product quality on customer satisfaction
Proponents of this theory include researchers such as Yi, (1990); Bloemer, et al (1998); Bastos and Gallego
(2008); Chai et al, (2009). Thus far, the few studies discuss about the effect of customer service and product
qualities on customer satisfaction have been on car owners. Using the critical incident technique, Archer and
Wesolowsky (1996) look at how satisfaction with product and service quality simultaneously affects the
intention of owners in automobile industry (Chai et al, 2009). In this regard, Bastos and Gallego (2008)
provide evidence that customer service quality directly affects satisfaction and satisfaction directly affects the
positive behavioral intentions.
2) Relationship between customer satisfaction and customer loyalty
The relationship between satisfaction and loyalty has been observed in several studies such as Coyne (1989);
Oliva et al., (1992); Fornell (1992); Guiltinan, et al. (1997); Sivadas and Baker-Prewitt (2000); Bowen, and Chen
(2001); Bansal and Gupta (2001); Silvestro, and Low (2006).

The Special Issue on Behavioral and Social Science © Centre for Promoting Ideas, USA www.ijhssnet.com
254
Satisfaction and loyalty are not surrogates for each other (Shankar ad Amy, 2002; Bloemer and Kasper 1995;
Oliver 1999). It is possible for a customer to be loyal without being highly satisfied (e.g., when there are few
other choices) and to be highly satisfied and yet not be loyal (e.g., when many alternatives are available).
(Shankar ad Amy, 2002) The results of Bowen, and Chen (2001) study verified the nonlinear and asymmetric
relationship between customer satisfaction and customer loyalty. When satisfaction increased above a
threshold, purchase loyalty went up rapidly and when satisfaction dropped below a threshold level, purchase
loyalty decreased equally rapidly. Guiltinan, et al. (1997) believed that satisfied customers are more likely to
be repeat (and even become loyal) customers. Fornell (1992) have found strong correlations between
satisfaction and loyalty. According to Mittal et al. (1999) the relationship between satisfaction and loyalty
changes over time. However, the relationship between satisfaction and loyalty is expected to be dependent on
the quality of the product and services. This study also is aimed at assessing the relationship between
customer service and product quality with customer satisfaction and loyalty in the context of the Indian
automotive industry. This made the researcher to provide answers to the research question, to be able to
achieve the objective of the study and to test the research hypotheses.
2. Theoretical Framework of the Study
2-1 Customer Service Quality
Quality has been defined as fitness for use, or the extent to which a product successfully serves the purposes
of consumers (Beverly et al., 2002). Customer service is one of the organizational processes which companies
perform considering the growing competition and for attracting entrepreneurial opportunities for increasing
profitability and better access to the market and increasing the customer satisfaction and loyalty level (Calif,
1987). According to Goofin and Price (1996) customer service has importance because it ends in increasing
product quality, gaining competitive advantage, gaining profitable opportunities, and as a result increasing
sales and income. As we can observe from following figure, According to Newby & McManus (2000)
excellent quality of customer services is based upon not just the knowledge and skills of the individual but
also upon the way that the organization as a whole, from top management downwards, pulls in the same
direction and presents a clear, positive message to customers.
Figure 1 shows the key features of excellent customer service (Newby & McManus 2000)
The domain of the activities related to customer service is vast. Tour and Kumar (2003) have mentioned
duties and functions of this section in the form of installation and startup services, training, maintain and
repair, documentation, providing logistic and spare parts, improving products, software services, warranty and
call center service. Recognition of profitable opportunities is considered in order to present electronic
customer service in this industry with developing communicational infrastructure and development of
utilization of technology in car manufacturing companies. Services which are presented by car manufacturing
industry today are informational, training, communicational, leasing, repairing and maintenance services, and
also innovational services (considering data mining functions) (Khaksar et al. 2010). Presenting informational
services is in the line of informing customers about new products, information regarding service centers and
also car news. Today, large car manufacturers present their informational services utilizing email, Short
Message Service, and websites (Wilson et al, 1999). Presenting suitable training services create possibility for
increasing the level of customer service and hence the customer satisfaction. Using trained staffs also,
increases the accountability of the company (Nilda et al, 2009). The objective of customer training and
informing in Tata Motors Company is to familiarize a customer with his / her vehicle.
 Maintenance schedule explained.
 Salient features of the vehicle are explained.
 Tips for safe driving & handling of vehicle are given.
 Tips given for achieving better fuel economy.
 Tips are given for fault diagnosis & troubleshooting - in order that customer develops necessary
confidence to take care of minor troubles which may immobilize the car viz. fuse blowing, air lock in fuel
system, etc.

International Journal of Humanities and Social Science Vol. 1 No. 7; [Special Issue –June 2011]
255
Table 1 shows the different kinds of Customer Services in automotive industry (Khaksar et al. 2010)
Customer Services in Automotive Industry
Objectives
Discovery services
Discovering new needs of customers and creating new entrepreneurial
opportunities.
Repair and maintenance services
Changing, cleaning, installing, and restarting up the parts.
Leasing services
Customer can afford and change cars every 3 years without hassles or
trading in.
Communicational services
After sold, establish a long term relationship with customers for any
request.
Informational services
Informing customers about new products, car news and service centers.
Training services
Explain maintenance schedule and salient features of the vehicle. Tips for
fault diagnosis & troubleshooting and safe driving & handling of vehicle.
Presenting communicational services is directly related to customer satisfaction. Customers after purchasing
products may have doubts in their decision making; the only way to manage this uncertainty is to establish a
long term relationship with customers (Flynn et al, 2002). One of the strategies of presenting better customer
services in car manufacturing industry is to provide proper trainings to personnel and customers (Khaksar et
al, 2010). Leasing contracts usually concluded and enforced in the framework of lease condition acquisition.
Leasing services in car manufacturing industry increase the purchase power of people and lead to increase the
sales of the company. Car leasing is one option for acquiring a new vehicle. Instead of buying a new car with
a bank loan, customer rent or lease the car for 3 or more years then give it back to the leasing company at the
end, with a residual value of about 50% of when the car was new. Providing repair and maintenance is the
inseparable part of customer service in car manufacturing industry. Maintenance means changing, cleaning,
installing, and restarting up the parts which has problems (Calif, 1987). Discovery services refer to the
services that company do for detecting defects in the product and rectifying them without causing any loss for
the customers. Discovery services have also used for discovering new needs and creating new entrepreneurial
opportunities. (Kruse et al, 2010). For implementing this type of services, company tests its products in some
markets and with utilizing benchmarking mechanisms satisfaction of the product will be analyzed.
2-2 Product Quality
Tata Motors is committed to attain leadership through business excellence in the car sector while upholding
values and integrity to improve the quality of life of the communities Tata Motors serves (Hanno, Christian,
2009). Meeting the highest quality standards and customers‟ needs in India, Tata Motors Company offers
high quality automobiles. Their aim in developing their products is to be Indian leaders in value and
satisfaction. Quality has been an elusive concept in automotive industry. It is the totality of features and
characteristics of a product or service that bears on its ability to satisfy given needs (Winder, 1996 and
Chavan, 2003). If a product fulfils the customer‟s expectations, the customer will be pleased and consider that
the product is of acceptable or even high quality. While studies on the way in which quality affects customer
satisfaction have been going for more than two decades, most of the research on how quality affect
satisfaction and loyalty in the past has focused largely in pure product (e.g. Garvin 1988, Gronroos 1983,
Steenkamp 1990) or pure service settings (e.g. Brady and Cronin 2001, Oliver 1997, Parasuraman et al.
1985). Some of Product quality Criteria in automotive industry includes:
 Safety , Comfortable and air pollution
 Ergonomics Requirements (Working distance, Clearance ,Weight)
 Product design
 Functional qualities, such as output or kilometer per liter (VVC, 2007; UNIDO, 2006; Wilhelm, 1993
and Falck et al, 2010)
Tata Motors Limited is India's largest automobile company, with consolidated revenues of USD 20 billion in
2009-10. It is the leader in commercial vehicles in each segment, and among the top three in passenger
vehicles with winning products in the compact, midsize car and utility vehicle segments. The company's
manufacturing base in India is spread across Jamshedpur, Pune, Lucknow, Pantnagar and Dharwad.
2-3 Customer Satisfaction
Customer satisfaction has been defined in various ways, but the conceptualization, which appears to have
achieved the widest acceptance, is that satisfaction is a post-choice evaluative judgment of a specific
transaction (Bastos and Gallego, 2008). Customer satisfaction is the result of a customer‟s perception of the
value received in a transaction or relationship – where value equals perceived service quality relative to price
and customer acquisition costs (Hallowell, 1996; Heskett et al., 1990; Blanchard and Galloway, 1994).

The Special Issue on Behavioral and Social Science © Centre for Promoting Ideas, USA www.ijhssnet.com
256
While the literature contains significant differences in the definition of satisfaction, all the definitions share
some common elements (Giese and Cote, 2002). When examined as a whole, three general components can
be identified:
1. Consumer satisfaction is a response (emotional or cognitive);
2. The response pertains to a particular focus (expectations, product, consumption experience, etc.);
3. The response occurs at a particular time (after consumption, after choice, based on accumulated
experience, etc).
2-4 Customer Loyalty
As suggested by several researchers (Kumar and Shah, 2004; Blak and Parks, 2003; Bell et al, 2005 and
Dean, 2007) there are two types of loyalty; behavioral and attitudinal loyalty. The behavioral aspects of the
customer loyalty were characterized in terms of repurchase intentions, word-of-mouth communication, and
recommendations of the organization (Nadiri, et al. 2008; Karatepe and Ekiz, 2004; Yi, 1990; Zeithaml et al.,
1996). Liu-Thompkins, et al (2010) defined attitudinal loyalty as a favorable evaluation that is held with
sufficient strength and stability to promote a repeatedly favorable response towards a product/brand or a store.
According to Kumar and Shah (2004) Consumer loyalty seems to be based on a collection of factors. The first
is trust. Consumers must trust the vendor or product they encounter. Second, the transaction or relationship
must have a positive perceived value greater than that supplied by competitors. Third, if marketers build on
the first two factors, they may be able to create a level of positive customer emotional attachment. That
emotional response may be commitment to their brands that is resistant to change (Pitta, et al, 2006). Today,
every industry offers a variety of loyalty schemes aiming at differentiating one competitor from another
(Butscher, 1999). Each time a customer buys, he progresses through a buying cycle (Griffin, 2002). A first
time buyer goes through five steps:
Figure 2: Loyalty and Purchase Cycle
3- Hypotheses of the study is based on research conceptual model
Figure 3: Research Conceptual Model
From the above mentioned model the following hypotheses are developed:
H1: Customer service quality influences customer satisfaction in the automotive industry.
H2: Product quality influences customer satisfaction in the automotive industry.
H3: Customer satisfaction influences customer loyalty in the automotive industry.
Customer Service
Quality
Product Quality
Customer
Satisfaction
Customer
loyalty
H1
H2
H3

International Journal of Humanities and Social Science Vol. 1 No. 7; [Special Issue –June 2011]
257
4- Methodology of the Study
4-1) Research Methodology
The objective of the current study is to clarify the relationship between four variables of customer service
quality, product quality, customer satisfaction, and customer loyalty. This research can be categorized as
descriptive research based on the method of obtaining the considered data and is of correlative type (Harandi
et al, 2008). Since these data are made for studying the distribution of statistical population characteristics
through sampling of population, this research is a survey done on the basis of cross sectional method.
5- Data Collection & Analysis Tools
In this research, the design of the questionnaire with 53 questions was primarily based on multiple-item
measurement scales taken from previous researches. 24 questions are designed to evaluate customer service
quality and product quality; 13 questions are designed to evaluate customer loyalty and 11 questions are
designed to evaluate customer satisfaction. Satisfaction was measured by a seven-point Likert scale,
Extremely, Very, Fairly satisfied, neither satisfied nor dissatisfied, Fairly, Very and extremely dissatisfied. 5
questions are related to personal information of the respondents. For analyzing data derived from
questionnaire regression and ANOVA test has been used and the software which have been used for
analyzing the data is SPSS 16.
6- Reliability and Validity of the Study
Reliability is the consistency of measurement, or the degree to which an instrument measures the same way
each time it is used under the same condition with the same subjects. For determining reliability of the study
Cronbach‟s Alpha method was used. Followings have been resulted from this analysis:
 For questions related to customer service quality and product quality the Cronbach‟s Alpha
coefficient of 0.841 was calculated.
 For question related to customer satisfaction Cronbach‟s Alpha coefficient of 0.881 was calculated.
 For question related to customer loyalty Cronbach‟s Alpha coefficient of 0.874 was calculated.
 For all questions Cronbach‟s Alpha coefficient of 0.910 was calculated.
Validity refers to whether a study measures or examines what it claims to measure or examine. For
determining validity of the questionnaire content credit was used (Harandi et al, 2008). Content credit of this
questionnaire has been justified by guide professors and also initial distribution of questionnaire among
number of experts, scholars and considering their corrective comments, it has the necessary credibility.
7- Statistical Population and Statistical Samples
Statistical population of the study consists of “all Tata Indica Car owners, product of Tata Motors” which has
bought their cars in 2008-2010 (Apr '08-Jan '10) in Pune. Total number of them according to Tata sales
department and Ministry of Commerce and Industry is about 586 people. To raise the accuracy and
correctness of the analyses population samples has been estimated 234 people based on Morgan‟s table.
Therefore, 260 questionnaires were distributed in 3 months period between population samples randomly.
Afterwards, 344 questionnaires were collected and 234 of them were used. As we can observe from following
figures, from 234 respondents, 12 people under high school graduation, 28 people high school graduates, 63
people had associated diploma, 96 with bachelor degree, 31 people with master degree, and finally 4 people
hold a PhD degree. And this is while the age of 29 of these people were 18-25, 60 people between 26-35, 75
between 36-45, 45 people between 46-55 and 25 people were more than 56 years old. Also, among the
respondents, 76 percent were male and 24 percent were female.
Figure 4-5: Statistical Description of Population

The Special Issue on Behavioral and Social Science © Centre for Promoting Ideas, USA www.ijhssnet.com
258
8- Testing Hypotheses of the Study using Regression Analysis and ANOVA
For all the hypotheses of the study below hypothesis test was used at 95% confidence interval.
Ho: βi = o Null hypothesis: Regression is not significant
H1: βi ≠ o Alternative hypothesis: Regression is significant
Table 2 shows the results of hypotheses of the study based on Regression Analysis.
Hypothesis
R
R
Squared
Adjusted
R
Squared
Std. of the
Estimate
Change
R
Change
F
Sig. Change
First
0.862
0.744
0.740
4.590
0.744
226.18
0.000
Second
0.882
0.772
4.305
0.034
11.67
1
0.001
Third
0.890
0.792
0.783
4.091
0.14
5.177
0.026
The above table shows Regression analysis for hypotheses of the study. As seen R and R squared values of all
hypotheses are high. Therefore, we can assume a high correlation for variables of these hypotheses. It should
be noted that R-squared values range from 0 to 1. The R squared values for these hypotheses are 0.744, 0.772
and 0.792, respectively.
H1: Customer service quality influences customer satisfaction in the automotive industry.
As significance (sig.) in, first hypothesis is less than 0.05 therefore, this hypothesis is approved.
H2: Product quality influences customer satisfaction in the automotive industry.
As significance (sig.) in, second hypothesis is less than 0.05 therefore, this hypothesis is approved.
H3: Customer satisfaction influences customer loyalty in the automotive industry.
As significance (sig.) in, third hypothesis is less than 0.05 therefore, this hypothesis is approved. The
following table shows result of the analysis of variance (ANOVA) for hypotheses of study. ANOVA provides
a statistical test of whether or not the means of several groups are all equal, and therefore generalizes t-test to
more than two groups. ANOVAs are helpful because they possess an advantage over a two-sample t-test.
Doing multiple two-sample t-tests would result in an increased chance of committing a type I error. For this
reason, ANOVAs are useful in comparing two, three or more means.
Table 3: ANOVA Test
Model
Sum of Squares
df
Mean Square
F
Sig.
1
Regression
4766.277
1
4766.277
226.182
.000
Residual
1643.673
51
21.073
Total
6409.950
52
2
Regression
4982.735
1
2491.367
134.412
.000
Residual
1427.215
50
18.535
Total
6409.950
52
3
Regression
5073.774
1
1691.249
96.194
.000
Residual
1336.733
49
17.582
Total
6409.950
52
Table 4: Coefficients
Model
Standardized
Coefficients
T Value
Sig.
Beta
1
(Constant)
-5.166
.000
Customer service quality
and Customer Satisfaction
0.862
15.038
.000
2
(Constant)
-6.361
.000
Product quality and
Customer Satisfaction
0.882
14.542
.000
3
(Constant)
-5.912
.000
Customer Satisfaction and
Customer Loyalty
0.890
15.667
.000

International Journal of Humanities and Social Science Vol. 1 No. 7; [Special Issue –June 2011]
259
According to statistical analysis in this section the results indicates that customer service and product quality
has been influential on customer satisfaction and also there is a positive relationship between customer service
and product quality with customer satisfaction and loyalty in the context of the Indian automotive industry.
9- Conclusion
The links between quality, customer satisfaction and loyalty are one of the most popular research topics
among service researchers (Chai, Ding, and Xing, 2009; Pilkington and Chai 2008). Pilkington and Chai
(2008) studied the importance of quality of products and services on customer satisfaction and found out that
loyal customers mostly lie in category of customers who have used higher quality products. This implies that
better quality of products tends to increase customers‟ loyalty. Researches by Chai and colleagues (2009)
show that quality of services to a customer is one of the most important factors in identifying new customer
needs and as we all know, the key to customer satisfaction and loyalty is providing the customers with their
undiscovered needs. Other studies done by Bastos and Gallego (2008); Yi, (1990); Chai et al, (2009);
Bloemer, et al (1995) also show the importance of products and services quality in enhancing customer
satisfaction and loyalty. One may pursue the common point of these studies in undiscovered customer needs.
In a setting where companies do not depend on others to serve customers, the customer is aware to whom
his/her perception is dedicated, and the direct link between perceived quality, customer satisfaction and
loyalty is naturally expected.
This has been proven by many researchers in both pure product (e.g. Zeithaml 1988, Cronin et al. 2000,
Brady and Cronin 2001) and pure service settings (e.g. Parasuraman et al. 2005, Wofinbarger and Gilly
2003). It may be easy to point out that customer satisfaction increases their loyalty, but there are also many
satisfied customers who are not loyal to that particular brand. Thus, paying attention to satisfaction and
loyalty at the same time is to be a critical and also a challenging task for a company. Studies undertaken by
Coyne (1989); Oliva et al., (1992); Fornell (1992); Guiltinan, et al. (1997); Sivadas and Baker-Prewitt (2000);
Bowen, and Chen (2001); Bansal and Gupta (2001); Silvestro, and Low (2006), show that there is a positive
and meaningful relationship between customer satisfaction and increase in the customers‟ loyalty. Findings
of this research show that the quality of customer service and the quality of products in Tata Motor‟s
Company promotes customer satisfaction, and also there is a positive relationship between customer
satisfaction and customer loyalty in the context of the Indian automotive industry.
10- Reference
Archer, N.P., G.O. Wesolowsky. (1996). Consumer Response to Service and Product Quality: A Study of Motor Vehicle
Owners. Journal of Operations Management, 14(2) 103-118.
Beverly K.K., Diane M. Strong, and Richard, Y.W., (2002). Information Quality Benchmarks: Product and Service
Performance. Communications of the ACM, Vol. 45, No. 4ve
Bowen, J.T. and Chen, S. (2001). The relationship between customer loyalty and customer satisfaction International.
Journal of Contemporary Hospitality Management 13/5
Bastos, J A.R., and Gallego, P.M (2008). Pharmacies Customer Satisfaction and Loyalty: A Framework Analysis.
Journal of Marketing. Universidad de Salamanca
Bloemer, J. M. M., & Kasper, H. D. P. (1995). The complex relationship between consumer satisfaction and brand
loyalty. Journal of Economic Psychology, 16, 311-329.
Brady, M. K., J. J. Cronin. (2001). Some New Thoughts on Conceptualizing Perceived Service Quality: A Hierarchical
Approach. Journal of Marketing 65(3) 34-49.
Butscher S. A. (1999). Using pricing to increase customer loyalty. The Journal of Professional Pricing, 8(l), 29-32
Back, K., Parks, S.C. (2003). A brand loyalty model involving cognitive, affective and conative brand loyalty and
customer satisfaction. Journal of hospitality and tourism research, 27 (4), 419-435
Ball, S.J, Auh, S. and Smalley, K. (2004). Customer relationship dynamics: service quality and customer loyalty in the
context of varying levels of customer expertise and switching costs. Journal of the Academy of Marketing Science, Vol.
33, pp. 169-83.
Chavan, R. B. (2003). Manual on Quality Assurance for Khadi. Mahatma Gandhi Institute of Rural Industrialization a
Collaborative Project of KVIC & IITD
Chai, K.H; Ding, Y. and Xing, Y., (2009). Quality and Customer Satisfaction Spillovers in the Mobile Phone Industry
Service Science: 1(2), pp.93-106
Calif. DHS. (1987). “Waste audit study: Automotive repairs”. Prepared by Wesley M. Toy, P.E. Saratoga, Calif., for the
California Department of Health Services, Toxic Substances Control Division, Alternative Technology Section. May
1987, pp.131-142
Coyne, K. (1989). Beyond service fads meaningful strategies for the real world. Sloan Management Review. Vol. 30, pp.
69-76.
Dean, A.M. (2007). “The impact of the customer orientation of call center employees on customers‟ affective
commitment and loyalty”. Journal of Service Research, Vol. 10 No. 2, pp. 161-73.

The Special Issue on Behavioral and Social Science © Centre for Promoting Ideas, USA www.ijhssnet.com
260
Flynn, M., Belzowski, B.M., Haas, S. (2002). “E-CRM and the Automotive Industry: Focusing on Customers”.
University of Michigan, Transportation Research Institute
Falck, A.C., Ortengren, R., and Hogberg, D., (2010). The Impact of Poor Assembly Ergonomics on Product Quality: A
Cost–Benefit Analysis in Car Manufacturing. Human Factors and Ergonomics in Manufacturing & Service Industries,
Wiley Periodicals, Inc.20 (1) 24-41
Fornell, C., (1992). A National Customer Satisfaction Barometer: the Swedish Experience. Journal of Marketing, Vol.
56, pp. 1-18.
Griffin, J., (2002). Customer Loyalty: How to Earn It, How to Keep It, New and Revised Edition, Weekly publisher
Goffin, K. and Price, D. (1996). “Service Documentation and the Biomedical Engineer: Results of a Survey”.
Biomedical Instrumentation and Technology, Vol. 30, No. 3, pp.223-230.
Guiltinan, J. P., Paul, G. W. & Madden, T. J., (1997). Marketing Management: Strategies and Programs. 6th ed., New
York, McGraw-Hill
Giese, J. L. and Cote, J.A (2002). Defining Consumer Satisfaction. Academy of Marketing Science Review Vol. 2000
No. 1
Hallowell, R. (1996). The relationships of customer satisfaction, customer loyalty and profitability: An empirical study.
International Journal of Service Industry Management, Vol. 7 No. 4, pp. 27-42.
Hanno, B. and Christian, W.K., (2009). An analysis of the international strategic management process of TATA motors
and BMW. International Business Management, Boston University - Metropolitan College Khaksar, S.M.S. Kh.
Nawaser, and A. Afshar Jahanshahi (2010). „Study of the relation of Customer Service and Entrepreneurial
Opportunities‟. Asian Journal of Management Research, Vol 1, Issue1
Kruse, R.; Steinbrecher, M. and Moewes, C., (2010). “Data Mining Applications in the Automotive Industry,” 4th
International Workshop on Reliable Engineering Computing.
Karatepe, O.M. and Ekiz, H.E. (2004). The effects of organizational responses to complaint on satisfaction and loyalty:
A study of hotel guests in Northern Cyprus. Managing Service Quality, 14 (6), 476-86.
Kumar V. Shah D. (2004). Building and sustaining profitable customer loyalty for the 21st century. journal of Retailing,
80: 317-330.
Liu-Thompkins, Y., Williams, E. V. and Tam, L., (2010). Not all repeat purchases are the same: attitudinal loyalty and
habit. College of Business and Public Administration. Old Dominion University Norfolk
Mittal, V., P. Kumar, M. Tsiros. (1999). Attribute-level Performance, Satisfaction and Behavioral Intentions over Time:
A Consumption-System Approach. Journal of Marketing 63(2) 88-101.
Nadiri, H., Hussain, K., Ekiz, E. H. Erdogan S. (2008). An investigation on the factors influencing passengers‟ loyalty in
the North Cyprus national airline. The TQM Journal. Vol. 20 (3), 265-280
Nadiri, H. and Hussain, K. (2005). Diagnosing the zone of tolerance for hotel services. Managing Service Quality, Vol.
15 No. 3, pp. 259-77.
Oliver, R. L. (1999). Whence consumer loyalty? Journal of Marketing, 63 (Special Issue), 33-44.
Oliva, T.A., Oliver, R.L. and MacMillan, I.C. (1992). A catastrophe model for developing service satisfaction strategies.
Journal of Marketing. Vol. 56, pp. 83-95.
Parasuraman, A., Zeithaml, V. A., L. Berry. (1985). A Conceptual Model of Service Quality and its Implications for
Future Research. Journal of Marketing 49(4) 41-50.
Pitta, D., Franzak, F., and Fowler, D.,( 2006). A strategic approach to building online customer loyalty: integrating
customer profitability tiers. Journal of Consumer Marketing, 23/7, 421-429
Shankar, V. ; Amy K.S., (2002). Customer Satisfaction and Loyalty in Online and Offline Environments, International
Journal of Research in Marketing, e Business Research Center, pp 3-42
Tore, M. and Kumar, U., (2003). “Design and development of product support and maintenance concepts for industrial
system”. Journal of Quality Maintenance Engineering, Vol. 9, no 4, pp. 378-386.
Silvestro, R., and Low T.H. (2006). The asymmetric relationship between customer satisfaction, dissatisfaction, loyalty
and financial performance in B2B companies. Operations Management Group. University of Warwick, Singapore
Sivadass, E. & Baker-Prewitt, J. L., (2000). An examination of the relationship between Service quality, Customer
Satisfaction and Store Loyalty. International Journal of Retail & Distribution Management, 28 (2), pp. 73-82
UNIDO (United Nations industrial development organization). (2006). Product quality A guide for small and medium-
sized enterprises. Vienna, Austria V.05-90777
VCC (Volvo Car Corporation), Manufacturing Engineering, Goteborg, Sweden (2007). Requirement specification for
load ergonomics. Internal company document.
Wilhelm, M. (1993). Materials used in automobile manufacture - current state and perspectives. Journal de physique 111,
Volume 3.
Winder, R. E. and Judd, D.K., (1996). Organizational orienteering: Linking Deming, Covey, and Senge in an Integrated
Five Dimension Quality Model. ASQC Seventh National Quality Management Conference Transactions. American
Society for Quality.
Williamson, Oliver, (1975). “Markets and Hierarchies”. Free Press, pp. 132-54.
Yi, Y. (1990). “A critical review of consumer satisfaction”, in Zeithaml, V. (Ed.), Review of Marketing, 1990, American
Marketing Association, Chicago, IL, pp. 68-123.