consumer satisfaction. Satisfaction is the feeling of
pleasure or disappointment of someone who emerged
after comparing the provided performance of service
to the expected (Schiffman & Kanuk, 2012, Kotler &
Keller 2014).
Meanwhile, A Parasuraman, Zeitham and Berry
(1985) proposed a conceptual model of consumer
expectations for services. The model identified ten
major determinants of consumer expectations. The
ten determinants are : enduring service intensifiers,
personal needs, transitory service intensifiers,
perceived service alternatives, self-perceived services
roles, situational factors, explicit service promises,
implicit service, word of mouth, and past experiences,
To measure service performance A Parasuraman,
Zeithaml and Berry (1985) introduced service quality
dimensions. These dimensions need to be considered
carefully by service provider, so that consumers get
the performance of services in accordance with
expectations. The service quality dimensions which
often used in research are the five dimensions of
service quality, which consists of: reliability,
responsiveness, assurance, empathy and tangibles.
Reliability is the ability to perform the promised
service dependably and accurately. Responsiveness is
the willingness to help customers and provide prompt
service. Assurance is knowledge and courtesy of
employees and their ability to convey trust and
confidence. Empathy is caring, individualized
attention the firm provides its customers. While
tangible is appearance of physical facilities,
equipment, personnel, and communication materials.
While, Mittal & Lassar (1998) found that
satisfaction is driven more by “technical quality”
(the quality of the work performed) than by
“functional quality” (how the service work was
delivered); however, once satisfaction is achieved,
loyalty is driven more by functional than by
technical quality. This is the pattern of influence
for a “low contact” (where customers’ direct
contact with service providers is absent or
marginal) service. For a “high contact” service, the
pattern of influence is exactly the reverse. Of
significant importance to service managers, the
paper explains the dynamics of loyalty versus
satisfaction and derives their managerial
implications.
Ganguli & Roy (2011) proposed four generic
service quality dimensions in the technology‐
based banking services – customer service,
technology security and information quality,
technology convenience, and technology usage
easiness and reliability. It was found that customer
service and technology usage easiness and
reliability have positive and significant impact on
customer satisfaction and customer loyalty. It was
also found that technology convenience and
customer satisfaction have significant and positive
impact on customer loyalty.
Service quality influences relative attitude and
satisfaction, satisfaction influences relative
attitude, repurchase, and recommendation but has
no direct effect on store loyalty. Fostering
favorable relative attitude and getting customers to
recommend the product or service holds key to
fostering store loyalty. Results also indicate
support for Oliver’s four‐ stage cognitive‐
affective‐ conative‐ action model of loyalty
(Sivadas & Baker‐ Prewitt, 2000).
Measuring customer satisfaction is very
important, customer satisfaction indexes as a base for
new strategic marketing management (Karolina
Ilieska, 2013). Y.Hu (2011) found that relationships
between perceived value, customer satisfaction, and
purchase intention. While H Singh (2006) indicated
that there is also a positive connection between
customer satisfaction, loyalty and retention. Selnes,
(1993) suggested that companies should monitor and
improve both customers satisfaction and brand
reputation.
In order to measure customer satisfaction Kotler
& Keller (2014) identified four methods, including:
complaints and feedback system, mystery shopping,
lost costumer analysis, and consumer satisfaction
survey.
3 METHODS
This is an exploratory research method. Customer
survey is the main method to collect primary data.
Non-probability sampling was used to select
respondent and respondent are customer of Islamic
bank. To determine factors influencing customer
satisfaction, confirmatory factor analysis is used,
followed by measuring the customer satisfaction by
calculating customer satisfactory index.
4 RESULTS AND DISCUSSION
To determine what factors influencing customer
satisfaction of Islamic Banking, factor analysis is
used to data that has been collected through survey.
Factor analysis with the help of SPSS 17 followed the
process of testing the adequacy of data onto Kaiser-
Meyer-Olkin (KMO) value measurement and by the
measure of sampling adequacy (MSA) for subsequent
calculated Eigen value (loading factor). Based on
Eigen values of the 51 indicators, 12 groups were
obtained which has Eigen value of more than 1.00.
ICIEBP 2017 - 1st International Conference on Islamic Economics, Business and Philanthropy
252