IMPACT OF PRICE FAIRNESS ON PRICE SATISFACTION, CUSTOMER SATISFACTION AND CUSTOMER LOYALTY IN IRAN...
Transcript of IMPACT OF PRICE FAIRNESS ON PRICE SATISFACTION, CUSTOMER SATISFACTION AND CUSTOMER LOYALTY IN IRAN...
Asian Journal of Research in of Research in
and Marketing Asian Journal of Research in Marketing
Vol. 3, No. 1, February, 2014, pp. 131-144.
ISSN 2277-6621
131
www.aijsh.org
Asian Research Consortium
Impact of Price fairness on Price Satisfaction, Customer
satisfaction and Customer Loyalty in Iran Telecommunication
Market (Case: MTN Irancell Company)
Mohsen Nazaria, Mohammad Ali Shah Hosseinib, Seyed Vahid Tabatabaie Kalejahic
aAssociate Professor, Faculty of Management, University of Tehran, Tehran, Iran.
bAssistant Professor, Faculty of Management, University of Tehran, Tehran, Iran.
cMBA-Marketing, Faculty of Management, University of Tehran, Tehran, Iran.
Abstract
Price fairness and price satisfaction is one the most important fields in pricing and also in customer
satisfaction. In this research, first the dimensions of price fairness, price satisfaction, customer
satisfaction, and customer loyalty is extracted from marketing literature, then 5 hypotheses is developed.
In proposed model, price fairness has direct impact on price satisfaction, customer satisfaction and
customer loyalty; also price satisfaction has direct impact on customer satisfaction and customer
satisfaction has direct impact on customer loyalty. Statistical Society of this research is University of
Tehran’s Student and the number of samples is 379. Students are selected accidently for answering the
questionnaire. Structural Equation Modeling is applied in this research. The results show that all of the
hypotheses are strongly supported. It means that price fairness is one of the building blocks of the price
satisfaction, customer satisfaction and customer loyalty. It’s recommended to assess the customer
perception of the price fairness. Also some directions for future researches are indicated.
Keywords: Telecommunication Market, Price Fairness, Price Satisfaction, Customer Satisfaction,
Customer Loyalty
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1. Introduction
Price Fairness is one of the fundamental issues in pricing and many researchers are interested in
this topic in marketing field. Marketing managers also are interested in this topic because it’s so important
in success of increasing the prices of their products. Perception of fairness in price changes by the
customers is difficult because of their prior purchases and reference price. In this research the relation of
price (un)fairness with price satisfaction, customer satisfaction and customer loyalty is investigated. Our
case study is in telecommunication industry in Iran and MTN Irancell Company.
In today’s highly competitive global markets, managers seek to improve organizational
effectiveness by identifying organizational metrics which contribute to long-term success (Deshpande &
Farley, 1999). One of the important issues in marketing history is its efforts philosophy. The marketing
concept specify that in order to achieve sustained success, organizations should identify and satisfy
customer needs and wants more effectively than their competitors (Armstrong, Adam, Denize, & Kotler,
1997). Additionally, customer satisfaction is closely linked to many relationship marketing dimensions
and other marketing instruments, such as customer loyalty, relational benefits or confidence, and price or
distribution, respectively. However, factors such as price fairness or price acceptance have not received
the degree of empirical attention paid to other antecedents and consequences of satisfaction mentioned
above. (Martin-Consuegra, Molina, & Esteban, 2007). Consequently, in order to understand the
relationship between satisfaction, loyalty and price, an empirical study should be conducted.
In addition, service marketing is different to goods marketing, and is usually more complex to
manage. In service industries, the distinctive features of services (intangibility, inseparability,
perishability and heterogeneity) require understanding and satisfying customer needs and expectations,
creating, communicating and delivering customer value, and keeping promises (Aksoy, Atilgan, &
Akinci, 2003). In this sense, while price is an important determinant in purchasing and post-purchasing
processes, the central role of price is especially well recognized as an important variable in services with
complex pricing structures rather than tangible products (Matzler, Altmann,, Altmann, & Leihs, 2003)
(Martin-Consuegra, Molina, & Esteban, 2007).
Based on Central Bank of Iran Statistics in 2011, Service GDP was about 134 billion dollar and
the amount of service sector has increased 5 percent per year from 1989 to 2009 (Website, 2011). World
Bank Statistics indicates that 45 percent of Iran’s GNP in 2007 is service sector (World Bank Group,
2012). These figures show the importance of service sector in Economics of every country.
Main goal of this research is to recommend a new conceptual model for impact of price fairness
on customer satisfaction and customer loyalty. First the theoretical and practical background of the topic
will be present, second the research method and analysis will be discussed and finally conclusion will be
drawn.
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2. Literature Review
2.1. Customer Perception Management
Skillful pricers appreciate that price perception can be influenced in the same way that benefit
perceptions can, as the following examples illustrate. To research the impact of price communication, a
term life insurance company that markets primarily by mail sent three sets of solicitations that were
identical except for how price was communicated in the brochure headline. In the first set, the price was
conveyed as $360 per year; in the second, $30 per month; and in the third, $1 per day. The annual price
was, of course, identical in all three cases. And in each case, the same payment of $180 was due twice a
year. Amazingly, respondents were three times more likely to buy the policy when given the monthly
quote compared with the annual quote, and almost 10 times more likely to buy when the price was quoted
on a daily basis rather than an annual basis (Baker, Marn, & Zawada, 2010). Price fairness is one of the
important dimensions of price perception that will be discussed next.
2.1.1. Price Fairness
The concept of a "fair price" has bedeviled marketers for centuries. In the Dark Ages, merchants
were put to death for exceeding public norms regarding the "just price." Even in modern market
economies, putative "price gougers" often face press criticism, regulatory hassles, and public boycotts
(Nagle, Hogan, & Zale, 2011). The fact is that both the price offered and the rationale for offering a
certain price may lead to perceptions of price unfairness. Perceptions of price unfairness may lead to
negative consequences for the seller, including buyers leaving the exchange relationship, spreading
negative information, or engaging in other behaviors that damage the seller (e.g. (Campbell, 1999)) (Xia,
Kent, & Cox, 2004). Consequently, marketers should understand and attempt to manage perceptions of
fairness. But what is fair? The concept of fairness appears to be totally unrelated to issues of supply and
demand. Naturally assumptions about the seller's profitability influence perceived fairness, but not
entirely (Nagle, Hogan, & Zale, 2011). There are seven theories that describe the fairness and dimensions
of price fairness. These theories are Dual Entitlement Principle, Distributive Fairness, Procedural
Fairness, Interactional Fairness, Equity Theory, Attribution Theory, and Prospect Theory (Sheikhzadeh,
Atrianfar, Valiloo, & Fahimi, 2012). Eight dimensions are extracted from these theories which are
illustrated in figure 1.
2.1.2. Price Satisfaction
Customer satisfaction, one of the central marketing objectives, is closely linked to customer
loyalty, which is the likelihood of recommendation to others, cross-buying behavior; up-grading and
lower price sensitivity (Anderson, Fornell, & Lehmann, 1994; Zeithaml, Berry, & Parasuraman, 1990). It
therefore, contributes considerably to a company’s growth and profitability. This has been shown in a
number of empirical studies across various industries (Matzler, Würtele, & Renzl, 2006).
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Figure 1: dimensions of price fairness extracted from related theories
The central role of price as a purchasing determinant as well as in post-purchasing processes is
well recognized. In a qualitative study focusing on switching behavior in services, Keaveney (1995)
reports that more than half of customers switched because of poor price perception (compared to
competitors). Varki and Colgate (2001) arrived at similar results in their study of the banking industry;
particularly that price perception directly influences customer satisfaction, the likelihood of switching,
and the likelihood of recommendation to others. Considering the central role of pricing in consumer
behavior it is surprising that in customer satisfaction surveys little attention is paid to various aspects of
pricing (Herrmann, Wricke, & Huber, 2000). At best, price is regarded as one out of several attributes in
questionnaires (Fornell, Johnson, Anderson, Cha, & Everitt Bryant, 1996; Sternquist, Byun, & Jin, 2004;
Voss, Parasuraman, & Grewal, 1998) and little is known about the antecedents and consequences of price
satisfaction. (Matzler, Würtele, & Renzl, 2006)
Matzler, Wurtele and Renzl (2006) recognized six dimensions for price satisfaction in their
research for price satisfaction and we will use these dimensions in our research. All dimensions are
presented in figure 2.
Figure 2: Dimensions of Price Satisfaction
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2.2. Customer Satisfaction
Customer satisfaction has been regarded as a fundamental determinant of long-term consumer
behavior (Oliver R. , 1980). Literature shows that there is no universally accepted method or
measurement scale that exists for CS. The measurement of customer satisfaction is more exploratory in its
development rather than being a precise, exact science (Gilbert & Veloutsou, 2006) In general, two
approaches of customer satisfaction dominate its literature (Gilbert and Veloutsou, 2006). The first
approach is the expectancy-disconfirmation approach (Parasuraman, Zeithaml, & Berry, 1988; Zeithaml,
Berry, & Parasuraman, 1996). This approach is based on a comparison of customer’s expectations versus
what the customer actually experiences. Expectations-disconfirmation approach appears most widely in
definitions of product/service quality and consumer satisfaction. This usually means that product/service
performance falls short of (or exceeds) what a consumer expects when making a purchase decision with
negative (or positive) implications for the experience. The second approach is the performance-only
approach. In this approach, service features are measured in relation to transaction-specific, and
satisfaction is conceptualized as a onetime post purchase evaluation (Oliver R. , 1997).
After investigating different definitions of customer satisfaction from various researches (Walsh,
Heiner, & Maren, 2008; Anderson, Fornell, & Lehmann, 1994; Olsen & Johnson, 2003; Dimitriades,
2006; Garbarino & Johnson, 1999; Yuksel & Rimmington, 1998; Cardozo, 1965; Cronin, Brady, & Hult,
2000), six dimensions selected for applying in this research which are presented in figure 3.
Figure 3: dimensions of Customer Satisfaction
2.3. Customer loyalty Loyalty is referred to as the extent to which the customer intends to purchase again from the
supplier (Söderlund, 1998). Customer retention is one of the most commonly mentioned outcomes of a
strong buyer–seller relationship. (Wong, Chan, Ngai, & Oswald, 2009)
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Also Customer satisfaction and loyalty are positively related to marketer profitability and market
share (Anderson, Fornell, & Lehmann, 1994; Reichheld, 1993). It has become a relatively common rule
of thumb that acquiring new customers costs marketers between five to ten times more than it does to
retain current customers (Slater & Narver, 1999). Thus, many firms have developed distinct competencies
in measuring customer satisfaction and similarly an entire consulting industry has emerged in the area of
customer satisfaction measurement. (Flint, Blocker, & Boutin Jr., 2011)
Early views of brand loyalty focused on repeat purchase behavior. Lipstein (1959) and Kuehn
(1962) measured loyalty by the probability of product repurchase. Some researchers (e.g., (Day G. S.,
1969; Jacoby & Chestnut, 1978)) have suggested that a behavioral definition is insufficient because it
does not distinguish between true loyalty and spurious (false, phony, artificial) loyalty that may result, for
example, from a lack of available alternatives for the consumer. In response to these criticisms,
researchers have proposed measuring loyalty by means of an attitudinal dimension in addition to a
behavioral dimension. Engel & Blackwell (1982) defined brand loyalty as “the preferential, attitudinal
and behavioral response toward one or more brands in a product category expressed over a period of time
by a consumer.” Jacoby (1971) expressed the view that loyalty is a biased behavioral purchase process
that results from a psychological process. Gremler (1995) suggested that both the attitudinal and
behavioral dimensions need to be incorporated in any measurement of loyalty. (Srinivasan, Andersona, &
Ponnavolu, 2002)
After investigating different definitions of customer loyalty from various researches (Majumdar,
2005; Oliver R. , 1997; Uncles, Dowling, & Hammond, 2003; Terblanche & Boshoff, 2006;
Muthuraman, Sen, Gupta, Seshadri, & Narus, 2006; Robert, Coates, & Nicholson, 2008), six dimensions
selected for applying in this research which are presented in figure 4.
Figure 4: dimensions of Customer Loyalty
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Our proposed model which is based on 5 hypotheses is illustrated in Figure 5.
Figure 5: Proposed Model of Price, Satisfaction and Loyalty
Five proposed hypotheses are listed below:
H1: Price fairness is positively associated with price satisfaction.
H2: Price fairness is positively associated with customer satisfaction.
H3: Price satisfaction is positively associated with customer satisfaction.
H4: Customer satisfaction is positively associated with customer loyalty.
H5: Price fairness is positively associated with customer loyalty.
3. Research Methodology
The research process involved the following steps. First, a literature review was undertaken to
identify perceived price fairness, customer satisfaction, loyalty and price satisfaction dimensions within
the service sector. Second, the population and sampling procedure was established. Third, a questionnaire
was constructed. Finally, the methods of data collection and analyses were determined.
3.1. Data
The sample for investigation covers only mobile phone services industry. Specifically, data is
gathered from MTN-Irancell mobile phone services users which are University of Tehran students.
University of Tehran has about 32000 students (University of Tehran, 2012) and according to Cohen-
Price
Fairness
Customer
Loyalty
Customer
Satisfactio
n
Price
Satisfactio
n
H1
H2
H5
H3
H4
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Morgan-Kerjcie Table, 379 samples must be selected for fulfilling the questionnaire. Data will be
analyzed with SPSSS and LISREL Software.
An overview of the demographic profile of the respondents gives a fair representation of
students of University of Tehran. The average age of the sample is about 25 years old and 75 percent of
students are 27 years old or below. 35 percent of Students are female and 65 percent is male. 42 percent
are bachelor students, 45 percent are master students and 13 percent are PhD students. Only 12 percent is
married and 88 percent are still single only 15.5 percent have full-time job and 57 percent are vacant and
27.5 percent have part-time job.
3.2. Measure
The design of the questionnaire was primarily based on multiple-item measurement scales.
Questions related to price satisfaction are taken from Matzel, Wurtele and Renzl (2006) research about
dimensions of price satisfaction. Other questions are developed by researchers and endorsed by business
marketing professors and twenty marketing students of faculty of management of University of Tehran.
Statements were adapted to suit the specific characteristics of telecommunication industry study. The
questionnaire included questions regarding price fairness, customer satisfaction, loyalty and price
satisfaction.
4. Results
This section provides results of the analysis on the variables described. Before going deeper into
the relationships above mentioned, the fit of the scales in relation to the data was analyzed. The reliability
of the measures was examined through a confirmatory factor analysis and the calculation of Cronbach’s
alpha coefficients. According to Anderson and Gerbing (1988), confirmatory measurement models should
be evaluated and re-specified before measurement and structural equation models are examined
simultaneously. Thus, before testing the measurement models overall, each construct in the model was
analyzed separately. Confirmatory factor analysis revealed that each indicator loaded significantly on its
designated factor. Reliability was measured through an examination of Cronbach’s alpha coefficients,
which, for scale acceptability, Nunnally (1978) suggested should be over 0.7. Cronbach’s alpha
coefficients were found which ranged from 0.826 (price fairness) to 0.883 (price satisfaction), and which
exceed the threshold value, conforming to Nunnally’s (1978) criterion.
The first step in applying conformity factor analysis is to calculating KMO measure and run
Bartlett Test. The calculated KMO is 0.939 which is near to 1 and it measures the adequacy of sampling
which is good for gathered data. Also the result of Bartlett test which its significant is 0.000 (below 0.05)
indicates that it’s possible to apply conformity factor analysis. After applying conformity factor analysis,
3 variables (price transparency in price satisfaction, seller’s benefit in price fairness, and other customers
in price fairness) excluded from the model. To sum up, data are ready to test the hypotheses by simulating
structural equation modeling (SEM). This technique allows the existing causal relationships between
price fairness, price satisfaction, customer satisfaction, and customer loyalty to be assessed.
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There are several tests to ascertain whether an SEM model fits the observed data. The chi-square
statistic provides a measurement of how well the model fits the data. Therefore, chi-square was used to
test the relationship proposed. In addition to the chi-square test and its associated p-values, the
comparative fit index (CFI), the normed fit index (NFI), the non-normed fit index (NNFI), and the root
mean square residuals (RMR), are used as tests of model fit. The overall fit of the measurement model are
x2=831.51 (p= 0.0), CFI=0.97, NFI=0.95, NNFI=0.97 and RMR=0.060. Bentler (1995) indicates that
CFI, NFI and NNFI values of above 0.9 suggest adequate fit. In addition, RMRs were lower than 0.08
(Hair, Anderson, Tatham, & Black, 1999). As illustrated in Figure 6, the global goodness-of-fit statistics
indicate that the structural model represents the data structure well. Standardized parameter estimates for
the model are shown in Figure 6.
Figure 6: Proposed model’s Standardized estimates for *P<0.05
** will be discussed in H2 and *** in H5
explanation.
According to SEM analysis, all of the hypotheses supported and consequently the proposed
model strongly supported in Iran’s telecommunication industry. Next we’ll discuss the five proposed
hypotheses deeply.
5. Conclusion
H1 states that price fairness is positively associated with price satisfaction. The results lend
support to the claim that perceived fairness of a given price is linked to customer satisfaction because the
estimated parameter between both constructs is both positive and significant. Thus, the result supports the
Price
Fairness
Customer
Loyalty
Customer
Satisfaction
Price
Satisfaction
*0.87
**0.76
***0.74
*0.74
*0.83
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acceptance of H1 and is consistent with previous studies (e.g. (Campbell, 1999; Matzler, Würtele, &
Renzl, 2006)).
H2 argues that Price fairness is positively associated with customer satisfaction. This hypothesis
rejected based on SEM analysis because T-value was between -1.96 and 1.96 but price fairness is
associated with customer satisfaction through price satisfaction. Then for investigating this relationship,
price satisfaction excluded from the model and the coefficients estimated again and it showed that there is
a positive association between price fairness and customer satisfaction which is consistent with previous
researches and studies (e.g. (Cronin, Brady, & Hult, 2000; Zeithaml V. , 1988; Wirtz & Kimes, 2007; Bei
& Chiao, 2001)).
H3 states that price satisfaction is positively associated with customer satisfaction and H4 claims
that customer satisfaction is positively associated with customer loyalty. The results lend support to the
claim that price satisfaction is linked to customer satisfaction and customer satisfaction is linked to
customer loyalty because the estimated parameter between both constructs for both two hypotheses are
positive and significant. Thus, the result supports the acceptance of H3 and H4 and is consistent with
previous studies (e.g (Varki & Colgate, 2001; Herrmann, Wricke, & Huber, 2000; Oliver R. , 1997; Wong
& Zhou, 2006; Wong & Sohal, 2003)).
And finally H5 states that price fairness is positively associated with customer loyalty.
This hypothesis rejected based on SEM analysis because T-value was between -1.96 and 1.96 but price
fairness is associated with customer loyalty through price satisfaction and customer satisfaction. Then for
investigating this relationship, price satisfaction and customer satisfaction excluded from the model and
the coefficients estimated again and it showed that there is a positive association between price fairness
and customer loyalty which is consistent with previous researches and studies (e.g. (Bei & Chiao, 2001)).
For improving the pricing structure of MTN Irancell Company we have two offers. First,
because this research is bound to University of Tehran’s student, it’s important to apply this research for
other segments of the telecommunication market. It’s also possible to conduct this research via email and
SMS that could lead to lower the cost of research and its results reliability would be better. Second, the
result of the research shows that price fairness is the building blocks of customer satisfaction and loyalty,
then it deserves to assess the perception of mobile phone services subscribes about fairness of price.
Every study has its limitations and new subjects and issues have more limitations. One of the
main limitations of this research is that conducted only in one segment of the telecommunication market
and it lack generality. The other important limitation is that we didn’t consider other factors influencing
customer satisfaction and loyalty and it may variate the result.
It would be interesting to analyze how the proposed relationships may differ when compared
with other services with simple pricing structures or tangible products. In addition, due to the fact that
service industries are heterogeneous, presenting a wide variety of pricing structures, further research
should be carried out in respect of other services, concentrating on analyzing other antecedents and
consequences. The other direction for future research is to analyze the impact of inflation on perception of
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price fairness and finally investigating the impact of structure of the market on perception of customers is
recommended.
References
University of Tehran. (2012, 6 16). Retrieved 6 12, 2012, from WikiPedia:
http://fa.wikipedia.org/wiki/%D8%AF%D8%A7%D9%86%D8%B4%DA%AF%D8%A7%D9%
87_%D8%AA%D9%87%D8%B1%D8%A7%D9%86
Aksoy, S., Atilgan, E., & Akinci, S. (2003). Airline services marketing by domestic and foreign firms:
differences from the customers’ viewpoint. Journal of Air Transport Management, Vol. 9, 343-
51.
Anderson, E., Fornell, C., & Lehmann, D. (1994). Customer satisfaction, market share, and profitability:
findings from Sweden. Journal of Marketing, Vol. 58, 53-66.
Anderson, J. C., & Gerbing, D. W. (1988). Structural equation modeling in practice: a review and
recommended two-step approach. Psychological Bulletin, Vol. 103 No. 3, 411-23.
Armstrong, G., Adam, S., Denize, S., & Kotler, P. (1997). principles of marketing, 5th edition. Pearson
Australia.
Baker, W. L., Marn, M. V., & Zawada, C. C. (2010). The Price Advantage, Second Edition. New Jersey,
USA: John Wiley & Sons, Inc.
Bei, L., & Chiao, Y. (2001). An integrated model for the effects of perceived product, perceived service
quality, and perceived price fairness on consumer satisfaction and loyalty. Journal of Consumer
Satisfaction, Dissatisfaction and Complaining Behavior, Vol. 14, 125-40.
Bentler, P. M. (1995). EQS: Structured Equation Program Manual. Los Angles, CA: BMDP Statistical
Software.
Campbell, M. C. (1999). Perception of Price Unfairness: Antecedents and Consequences. Journal of
Marketing Research, 36(May), 187-99.
Cardozo, R. N. (1965). An Experimental Study of Consumer Effort, Expectation and Satisfaction. Journal
of Marketing Research 2 (August), 244-249.
Cronin, J. J., Brady, M., & Hult, G. (2000). Assessing the effects of quality, value, and customer
satisfaction on consumer behavioral intentions in service environments. Journal of Retailing,
Vol. 76 No. 2, 193-218.
Day, G. S. (1969). A two-dimensional concept of brand loyalty. Journal of Marketing Research, 9
(September), 29–36.
Deshpande, R., & Farley, J. (1999). Executive insights:corporate culture and market orientation:
comparing Indian and Japanese firms. Journal of International Marketing Vol. 7 No. 4, 111-27.
Dimitriades, Z. (2006). Customer satisfaction, loyalty, and commitment in service organizations, some
evidence from Greece. Management Research Review, Vol. 12, 782-800.
Engel, J. F., & Blackwell, R. D. (1982). Consumer behavior. New York: The Dryden Press.
Flint, D. J., Blocker, C. P., & Boutin Jr., P. J. (2011). Customer value anticipation, customer satisfaction
and loyalty: An empirical examination. Industrial Marketing Management 40, 219–230.
Nazari et al. (2014). Asian Journal of Research in Marketing,
Vol. 3, No.1, pp. 131-144.
142
Fornell, C., Johnson, M., Anderson, E. W., Cha, J., & Everitt Bryant, B. (1996). The American customer
satisfaction index: nature, purpose, and findings. Journal of Marketing, Vol. 60, 7-18.
Garbarino, E., & Johnson, S. (1999). The different roles of satisfaction, trust, and commitment in
customer relationships. Journal of Marketing, Vol. 63, 70-87.
Gilbert, G., & Veloutsou, C. (2006). A cross-industry comparison of customer satisfaction. The Journal
of Services Marketing, Vol. 20,, 298-308.
Gremler, D. D. (1995). The effect of satisfaction, switching costs, and interpersonal bonds on service
loyalty,. doctoral dissertation, Arizona State University.
Hair, J. F., Anderson, R. E., Tatham, R. L., & Black, W. C. (1999). Multivariate Analysis. New York,
NY: Prentice-Hall.
Herrmann, A., Wricke, M., & Huber, F. (2000). Kundenzufriedenheit durch Preisfairness. Marketing
ZFP, Vol. 22 No. 2, 131-43.
Jacoby, J. (1971). Brand loyalty: a conceptual definition. American Psychological Association, Volume 6
(pp. 655-656). Washington, DC: American Psychological Association.
Jacoby, J., & Chestnut, R. W. (1978). Brand loyalty: measurement and management. New York: John
Wiley and Sons, Inc.
Keaveney, S. M. (1995). Customer behavior in services industries: an exploratory study. Journal of
Marketing, Vol. 59 No. 2, 71-82.
Kuehn, A. (1962). Consumer brand choice as a learning process. Journal of Advertising Research, 2
(March-April), 10-17.
Lipstein, B. (1959). The dynamics of brand loyalty and brand switching. Fifth Annual Conference of the
AdvertisingResearch Foundation (pp. 101–108 ). New York: Advertising Research Foundation.
Majumdar, A. (2005). A model for customer loyalty for retail stores inside shopping malls – an Indian
perspective. Journal of Services Research – Special Issue, December, 47-64.
Martin-Consuegra, D., Molina, A., & Esteban, A. (2007). An integrated model of price, satisfaction and
loyalty: an empirical analysis in the service sector. Journal of Product & Brand Management
16/7, 459–468.
Matzler, K., Altmann,, A., Altmann, A., & Leihs, H. (2003). Preiszufriedenheit als multiattributives
Konstrukt. Jahrbuch der Absatz- und Verbrauchsforschung, Vol. 49, No. 2, 144-59.
Matzler, K., Würtele, A., & Renzl, B. (2006). Dimensions of price satisfaction: a study in the retail
banking industry. International Journal of Bank Marketing, Vol. 24 Iss: 4, 216 - 231.
Muthuraman, B., Sen, A., Gupta, P., Seshadri, D., & Narus, J. (2006). Understanding the process of
transitioning to customer value management. Vikalpa, Vol. 31, 1-27.
Nagle, T. T., Hogan, J. E., & Zale, J. (2011). The Strategy and Tactics of Pricing, 5th ed. New Jersey,
USA: Prentice Hall.
Nunnally, J. C. (1978). Psychometric Theory. New York, NY: McGraw-Hill.
Oliver, R. (1980). A cognitive model of the antecedents and consequences of satisfaction decisions.
Journal of Marketing Research, Vol. 4, 460-9.
Oliver, R. (1997). Customer Satisfaction.A Behavioral Perspective on the Consumer. New York, NY:
McGraw-Hill.
Olsen, L., & Johnson, M. (2003). Service equity, satisfaction, and loyalty: from transaction-specific to
cumulative evaluation. Journal of Service Research, Vol. 3, 84-95.
Nazari et al. (2014). Asian Journal of Research in Marketing,
Vol. 3, No.1, pp. 131-144.
143
Parasuraman, A., Zeithaml, V., & Berry, L. (1988). SERVQUAL: a multiple-item scale for measuring
consumer perceptions of service quality. Journal of Retailing, Vol. 64, 12-40.
Reichheld, F. F. (1993). Loyalty-basedmanagement. Harvard Business Review, 71(2), 64−71.
Robert, G., Coates, G., & Nicholson, M. (2008). Understanding and profitably managing customer
loyalty. Marketing Intelligence & Planning, Vol. 26 Iss: 4, 359 - 374.
Sheikhzadeh, M., Atrianfar, H., Valiloo, F., & Fahimi, M. (2012). Price Fairness. Working Paper,
Graduate School of Management & Economics, Sharif University of Technology.
Slater, S. F., & Narver, J. C. (1999). Market-oriented is more than being customer-led. Strategic
Management Journal, 20(12), 1165−1168.
Söderlund, M. (1998). Customer satisfaction and its consequences on customer behavior revisited: The
impact of different levels of satisfaction on word-of-mouth, feedback to the supplier and loyalty.
International Journal of Service Industry Management, 9(2), 169-188.
Srinivasan, S. S., Andersona, R., & Ponnavolu, K. (2002). Customer loyalty in e-commerce: an
exploration of its antecedents and consequences. Journal of Retailing 78, 41-50.
Sternquist, B., Byun, S. E., & Jin, B. (2004). The dimensionality of price perceptions: a cross-cultural
comparison of Asian consumers. International Review of Retail, Distribution & Consumer
Research, Vol. 14 No. 1, 83-100.
Terblanche, N., & Boshoff, C. (2006). The relationship between a satisfactory in-store shopping
experience and retailer loyalty. South Africa Journal of Business Management, Vol. 37, 33-43.
Uncles, M., Dowling, G., & Hammond, K. (2003). Customer loyalty and customer loyalty programs.
Journal of Consumer Marketing, Vol. 20 No. 4, 294-316.
Varki, S., & Colgate, M. (2001). The role of price perceptions in an integrated model of behavioral
intentions. Journal of Service Research, Vol. 3 No. 2, 232-40.
Voss, G. B., Parasuraman, A., & Grewal, D. (1998). The role of price, performance, and expectations in
determining satisfaction in service exchanges. Journal of Marketing, Vol.62 No. 24, 46-61.
Walsh, G., Heiner, E., & Maren, W. (2008). Identification and analysis of moderator variables.
Investigating the customer satisfaction-loyalty link. European Journal of Marketing, Vol 9, 977-
1004.
Website, C. B. (2011, February 9). Time Series. Retrieved February 9, 2011, from Central Bank of
Islamic Republic of Iran: http://tsd.cbi.ir/
Wirtz, J., & Kimes, S. (2007). The moderating role of familiarity in fairness perceptions of revenue
management pricing. Journal of Service Research, Vol. 9 No. 3, 229-40.
Wong, A., & Sohal, A. (2003). A critical incident approach to the examination of customer relationship
management in a retail chain: an exploratory study. Qualitative Market Research: An
International Journal, Vol. 6 No. 4, 248-62.
Wong, A., & Zhou, L. (2006). Determinants and outcomes of relationship quality: a conceptual model
and empirical investigation. Journal of International Consumer Marketing, Vol. 18 No. 3, 81-96.
Wong, Y., Chan, R. Y., Ngai, E., & Oswald, P. (2009). Is customer loyalty vulnerability-based? An
empirical study of a Chinese capital-intensive manufacturing industry. Industrial Marketing
Management 38, 83-93.
World Bank Group. (2012, February 10). Iran, Islamic Rep. | Data. Retrieved February 10, 2012, from
World Bank Group: http://data.worldbank.org/country/iran-islamic-republic
Nazari et al. (2014). Asian Journal of Research in Marketing,
Vol. 3, No.1, pp. 131-144.
144
Xia, L., Kent, M. B., & Cox, J. L. (2004). The Price Is Unfair! A Conceptual Framework of Price
Fairness Perceptions. Journal of Marketing, Vol. 68, No. 4 (Oct.), 1-15.
Yuksel, A., & Rimmington, M. (1998). Customer satisfaction measurement. Cornell Hotel & Restaurant
Administration Quarterly, Vol. 39, 60-7.
Zeithaml, V. (1988). Consumer perceptions price, quality, and value: a means-end model and synthesis of
evidence. Journal of Marketing, Vol. 52, July, 2-22.
Zeithaml, V., Berry, L. L., & Parasuraman, P. (1996). The behavioral consequences of service quality.
Journal of Marketing, Vol. 2, 31-46.
Zeithaml, V., Berry, L., & Parasuraman, A. (1990). The behavioral consequences of service quality.
Journal of Marketing, 60(2), 31−46.