view, and finally the fifth part including questions related
to customers loyalty and satisfaction. In this research,
SERVQUAL has been used for designing questions related to
service quality, Gremler and Brown’s tool (1996)
for evaluating the loyalty, and for customer satisfaction
evaluation, a tool offered by Bitner and Hubbert (1994)
has been used. The above mentioned tools have been used in
many researches conducted on service quality, thus
these tools can be considered highly reliable.
To test the evaluating tool reliability, the designed
questionnaire was at first distributed between about 26
customers of the bank, and was analyzed after being
collected. The results of the primary sample show that
Cronbach alpha (α) index is 0.94, indicating high
reliability.
2.2 Statistical population and sample
The statistical population of this research is customers of
a Sepah Bank branch in Tehran, Iran. Since the
statistical population was unlimited, therefore the
following formula was used to get the size of the sample:
Z2 α /2 δ2
n= ---------------
E ²
The variance of the obtained answers from the primary sample
was 880.87, and by putting it in the above
mentioned formula, the reliability level (α) was 95 percent, and estimate accuracy
(E) was 5, and the sample size
was 136. But since there was a probability that some of
questionnaire would not be returned, 250 questionnaires
were distributed, which finally 147 questionnaires were
collected and analyzed.
3. Data Analysis
At first, descriptive statistics (results have been shown in
table 2) was used to study the characteristics of
statistical sample, and perceptive statistics (pair student
T test, Spearman correlation index, Beta (ß) meaningful
level test in linear regression and…) was used for analyzing
the questionnaires.
Question 1: Is
there any meaningful difference between customer’s expectations and their
perception about
Sepah Bank performance in each of the fivefold dimension,
and in total?
As shown in table 2, the respondents’ expectations in all
fivefold dimensions, and in total, is more than Bank’s
performance in one dimension. Since these means are merely
related to the mentioned sample, we have done the
T test to study the meaningful explanation of their
difference. The results of T test have been brought about in
pair, in table 3. Considering the fact that the
meaningfulness level in all dimensions is less than 0.05 of error
level (and even 0.01), zero premises (there is no meaningful
difference between expectation and performance)
are failed. In other words, there is a meaningful difference
between customer’s expectation and the Bank’s
performance in each of dimensions separately and totally,
and customer’s expectation in all cases is more than
Bank’s performance. Thus, it can be said that the service
quality is low, totally, and each of the discussed
dimensions.
Question 2: What
is the relation between three concepts of service quality, customer’s
satisfaction and loyalty?
To do this, following three regression models should be
tested:
(1) Mediator variable regression (customer satisfaction) on
independent variable (service quality): in this test,
satisfaction will be considered as dependent variable, and
service quality as independent variable.
(2) Dependent variable regression (loyalty) on independent
variable (service quality): In this test, loyalty will be
considered as dependent variable, and service quality as in
dependent variable.
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(3) Dependent variable regression (service loyalty) on
independent variable (service quality), and mediator
variable (customer satisfaction): Table 4 shows that in this
test, loyalty is considered as dependent variable, and
service quality and satisfaction as independent variable.
As shown in table 4, for the first model, R² = 0.43 was
obtained, and it can be said that 43 percent of the
dependent variable changes is explained by the model. In the
second model (table 9), R² = 0.458 was obtained,
thus almost 45 percent of the dependent variable changes is
shown by the model. As shown, R² = 0.80 was
obtained in the third model, and it can be considered that
80 percent of the dependent variable changes is
explained by the model, in other words, a very high
percentage of dependent variable changes are identified by
the mentioned model. As a result, customer satisfaction
partially mediates the relationship between service
quality and customer loyalty.
Now, the question is that is there any linear relation
between the variable pair understudy in the model? To
answer this question, single factor variance analysis test
(ANOVA) is used. Data mentioned in table 4 shows:
First model: Considering
the test statistic F = 112.67 and also zero meaningfulness level of the test,
it can be
concluded that there is a meaningful linear relation between
the two variables.
Second model: The
test statistic, F = 122.41 and test meaningfulness level is zero. Therefore,
since the
meaningfulness level is less than error level, zero
assumption is denied, and the relation between the two
variables is meaningful.
Third model: The
test statistic F = 292.56 and test meaningfulness level is zero. This means
that the zero
assumption in 0.05 level is denied, in other words, there is
a meaningful linear relation between dependent
variable (Y) and at least one of the independent variables.
Therefore, it can be said that although both variables have
a meaningful linear relation with the loyalty variable,
but the satisfaction variable has a stronger relation with
loyalty. Considering the positive sign of Beta index, this
relation is in one direction, and loyalty is increased
considerably with the increase of satisfaction.
In general, considering the applied models, the third model
is better, since the determination index in this model
is a higher figure compared with other models. Although the
determination index in the second model is close to
the third one, but compared with the third model, it is less
appropriate, since one of the independent variables has
been ignored in this model.
Question 3: What
is the relation between five dimensions of service quality, satisfaction and
loyalty?
This part will study the relation of each one of service
quality dimensions with satisfaction and loyalty. To study
the amount of the relation between each one f service
quality dimensions with satisfaction and loyalty, Pearson
correlation index is used. In tables 5 and 6, the
correlation indices of satisfaction and loyalty have been
calculated with five dimensions. Considering the first
column in both tables, it can be said that all variables have
a meaningful linear relation with satisfaction variable, as
well as loyalty (meaningfulness level in all cases is less
than the error level), and the highest relation is between
empathy variable with satisfaction and loyalty. The
positive sign of correlation indices shows direct relation
of variables, so that in all five dimensions, with the
increase of service quality, satisfaction and loyalty will
be increased.
Question 4: What
is the relation between resulted and processed dimensions, satisfaction and
loyalty?
The fivefold dimensions of service quality can be considered
from another point of view. In fact, they can be
divided into two more general categories of resulted and
processed. The resulted dimension includes reliability
dimension, and the processed dimension includes other
dimensions (tangibles, responsiveness, assurance, and
empathy). Now, the question to be answered is which
dimension is more important in attracting customer’s
satisfaction and loyalty? For his reason, Pearson
correlation index is used.
Table 7 and 8 show the correlation indices of satisfaction
and loyalty variables with resulted and processed
dimensions. This tables show that the two variables have a
positive meaningful linear relation with satisfaction
and loyalty variables, so that the higher service quality in
each of the dimensions, the more satisfaction and
loyalty.
But in both cases, the processed dimensions have more
correlation with satisfaction and loyalty. Therefore,
although the result of service received by customers may not
be appropriate, but it does not mean that customers
consider service quality totally weak. On the other hand,
high correlation between the processed dimension and
satisfaction and loyalty shows that service challenges have played
a more important role in customer’s
assessment from service quality. Thus, the process of
service offer is a good opportunity for increasing the
service quality in the view of customers.
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Published by Canadian Center of Science and Education
77
4. Conclusion
The results of this research show that in all fivefold
dimensions of service quality and also in total, customers’
expectations are beyond their perceptions of the bank
performance. In fact, findings of this research show that
although in all fivefold dimensions of service quality Sepah
Bank’s performance has been higher than average
limit, but its service quality does not satisfy customers’
expectations.
Also, it was expected that service quality would be one of
the determinants of satisfaction and loyalty. In fact,
nearly 43 percent of customer’s satisfaction change is
explained by service quality. On the other hand, service
quality has a direct relation with loyalty, and nearly 45
percent of loyalty changes can be explained by service
quality changes. Another point is that if the satisfaction
variable enters the model, the resulted determination
index will be higher in figure than other cases (0.803).
This figure means that nearly 80 percent of loyalty
changes can be explained by satisfaction and service
quality, although satisfaction plays a more important role in
this relation.
In addition, findings of this research show that there is a
positive and meaningful relation among all fivefold
dimensions of service quality with satisfaction and loyalty,
which in both cases assurance and tangibles have the
most and the least relation with satisfaction and loyalty.
In other words, it sees that tangibles can be considered
as health factors, and assurance as motivational factor. In
addition, the fivefold dimensions of service quality can
be observed from another point of view. In fact, these
dimensions can be divided into two more general
dimensions of resulted and processed. The resulted dimension
includes reliability dimension, and the processed
dimension includes other dimensions (tangibles,
responsiveness, assurance, and empathy). Findings of this part
too, show that both resulted and processed dimensions have a
positive and meaningful relation with satisfaction
and loyalty. But the important point is that there is
significant relation between the processed dimensions and
satisfaction and loyalty.
This point is important because although the final output
may not satisfy customer’s satisfaction, but it does not
necessarily mean customer’s dissatisfaction. In fact,
service encounter plays an important role in customer’s
satisfaction and loyalty. Considering the above mentioned
findings, the Bank’s manager should try to gradually
reduce the gaps in the first step, and should attempt to
make this gap positive, and to surpass customers’
expectations, in the next step.
5. Limitation
This research was conducted in one branch of Sepah Bank,
thus may not be generalizable to other branches.
Therefore, more branches need to be investigated. It is also
suggested that other related factors of service quality
such as internal marketing, HR, organizational behavior and
leadership to be included in the future researches.
References
Avkiran, N, K. (1994). Developing an instrument to measure
customer service quality in branch banking.
International Journal of Bank Marketing. 12 (6), 10-18.
Bitner, M. J. & Hubbert, A. R. (1994). Encounter
satisfaction versus overall satisfaction versus quality: the
customer's voice. service quality: new directions in theory
and practice, Thousand Oaks, CA: Sage(In Rust,
R.T.,
& Oliver, R.L. (Eds.), 72-94.
Bloemer, J. (1998). investigating derivers of bank loyalty:
the complex relationship between image, service
quality and satisfaction. International
Journal of Bank Marketing, 16(7),
276-286.
Bloemer, J. (1999). Linking perceived service quality and
service loyalty: a multi-dimensional perspective.
European Journal of Marketing, 33(11, 12), 1082-1106.
Cadotte, E., & Turgeon, N. (1988). Key Factors in Guest
Satisfaction, Cornell Hotel and Restaurant
Administration Quarterly, 28, 44-51
Caruana, A. (2002). Service Loyalty: The Effects of Service
Quality and the Mediating role of Customer
Satisfaction. European
Journal of Marketing, 36(7), 811-828.
Chakravarty, S. (2003). Relationships and individual’s bank
switching behavior. Journal of Economic
Psychology, 1-21.
Clow, K, E. (1993). Building a competitive advantage for
service firms. International Journal of Service
Marketing, 7(1),
22-32.
Gremler, D. D. & Brown S.W.(1996). Service Loyalty: Its
Nature, Importance, and Implications: in Advancing
Service Quality: A Global Perspective. International Service Quality Association, 171-180.
www.ccsenet.org/ibr International Business Research Vol. 3,
No. 4; October 2010
78 ISSN 1913-9004 E-ISSN 1913-9012
Gronroos, C. (2000). Service management and marketing. John
Wiley & sons Ltd.
Heskett, J. L., & Sasser, W. E. (2010). The Service
Profit Chain: From Satisfaction to Ownership, Handbook of
Service Science, Publisher
Springer
Hutchinsona, J., Laib, F., & Wang, Y. (2009).
Understanding the relationships of quality, value, equity,
satisfaction, and behavioral intentions among golf
travelers. International Journal of Tourism
Management,
30(2), 298-308
Jamal, A., & Naser, K. (2002). Customer satisfaction and
retail banking: an Assessment of Some of the Key
Antecedents of Customer Satisfaction in Retail Banking. International Journal o Bank Marketing, 20(4),
146-160.
Johneston, R. (1997). Identify the critical determinants of
service quality in retail banking: Importance and
Effect. International
Journal of Bank Marketing, 15(4),
111-116.
Kandampully, J. (1998). Service Quality to service loyalty:
a relationship which goes beyond customer services.
Total Quality Management & Business Excellence, 9(6), 431-443.
Landrum, H., Prybutok, V. R. Kappelman, L. A., & Zhang,
X. (2008). SERVCESS: A parsimonious instrument
to measure service quality and information system success. The Quality Management Journal, 15(3), 17-25.
Liljander, V., & Strandvik, T. (1993). Estimating Zones
of Tolerance in Perceived Service Quality and Perceived
Service Value, International
Journal of Service Industry Management,
4(2), 6-28.
Mittal, V., & Kamakura, W.A. (2001). Satisfaction,
Repurchase Intent, and Repurchase Behavior: Investigating
the Moderating Effect of Customer Characteristics, Journal of Marketing Research, Vol. 38(1), 131-142.
Othman A.Q., & Owen L. (2001). Adopting and measuring
customer service quality (SQ) in Islamic Banks: A
Case Study in Kuwait Finance House. International Journal of Financial Services, 3(1), 1-26.
Parasuraman, A., Zeithaml, V. & Berry, L (1988).
SERVQUAL: A multiple item scale for measuring customer
perceptions of service quality. Journal of Retailing, 64(1), 12-40.
Parasuraman, A., Berry, L.L & Zeithaml, V (1985). A
conceptual model of service quality and the implications
for future research. Journal
of Marketing Management, 49, 41-51.
Parasuraman, A. & Berry, L. L. (1991). Marketing for
Services: Competing through Quality. The
Free Press,
New York, NY.
Parasuraman, A., Zeithaml, V.A. & Berry, L.L. (1994).
Alternative scales for measuring service quality: a
comparative assessment based on psychometric and diagnostic
criteria. Journal of Retailing, 70(3), 201-230.
Peeler, G. H. (1996). Selling in the quality era. Blackwell Business, USA.
Philip, G. & Hazlett, S. (1997). The Measurement of
service quality: a new p-c-p attributes model.
International Journal
of Quality and Reliability Management, 14(3),
260-286.
Ruyter, K. (1997). Measuring service quality and service
satisfaction: an empirical test of an integrative model.
Journal of Economic Psychology, 18, 387-406.
Spohrer, J. & Maglio, P. (2008). The emergence of
service science: Toward systematic service innovations to
accelerate co-creation of value. Production and Operations Management, 17(3), 238-246.
Stewart, R. (1999). Measuring service quality: current
thinking and future requirements. Marketing
Intelligence
& Planning, 17(1),
21-32.
Valarie, Zeithaml, Berry & Parasuraman (1996) The
Behavioral Consequences of Service Quality, The
Journal
of Marketing, 60(2),
31-46
Yonggui, W. (2003). The Antecedents of service quality and
product quality and their influences on bank
reputation: evidence from the banking industry in China. Managing Service quality, 13(1), 72-83.
Zeithaml, V. A., Berry, L.L. & Parasuraman, A. (1996).
The behavioural consequences of service quality.
Journal of Marketing Management, 60(No. April), 31-46.
www.ccsenet.org/ibr International Business Research Vol. 3,
No. 4; October 2010
Published by Canadian Center of Science and Education
79
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