[PDF][PDF] Service quality measurement in Croatian banking sector: Application of SERVQUAL Model

S Marković, D Jelena, G Katušić - Management International Conference, 2015 - bib.irb.hr
S Marković, D Jelena, G Katušić
Management International Conference, 2015bib.irb.hr
Service quality has become an important factor for success and recognition in the banking
sector. The financial services belong to a group of services that almost all people of
developed countries encounter during their lives. In order to survive in this intensively
competitive sector, banks need to identify factors that ensure long-term success. Although a
great number of research studies related to service quality in banking sector have been
conducted during the past two decades, the literature review indicates that similar studies in …
Abstract
Service quality has become an important factor for success and recognition in the banking sector. The financial services belong to a group of services that almost all people of developed countries encounter during their lives. In order to survive in this intensively competitive sector, banks need to identify factors that ensure long-term success. Although a great number of research studies related to service quality in banking sector have been conducted during the past two decades, the literature review indicates that similar studies in Southern Europe are relatively limited. The purpose of this study is to investigate customers’ expectations and perceptions of banking service quality. The study also aims to identify the number of dimensions for expectation and perception scales of a modified SERVQUAL model and to test the reliability of the applied model.
The primary data were collected through a self-administered questionnaire. The study used a modified SERVQUAL scale with 22 pairs of item for measuring expectations and perceptions of banking service quality. Respondents were asked to indicate their degree of agreement with each of the items on 7-point Likert-type scale. Basic information relating to the respondents’ age, gender, economic status, education, frequency of using eBanking and frequency of bank visiting were also collected to gain insight into the profile of the customers. Data for this study were collected using a convenience sample over a 4-month period in 2012. In total, 1000 questionnaires were distributed and 511 returned, of which 56 were incomplete and omitted from the analysis. This makes a response rate of 45.50%(N= 455). In order to achieve the study goals, descriptive statistics, t-test, exploratory factor analysis, and reliability analysis were performed.
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