Measuring and analysing customer satisfaction with multi-criteria satisfaction analysis (MUSA) model: an electronic retailing case study
Zahra Tabaei and
Mohammad Fathian
International Journal of Business Information Systems, 2014, vol. 15, issue 2, 189-204
Abstract:
The purpose of this paper is to measure customer satisfaction in electronic retailing and analyse the situation of electronic retailer for recognising weak and strong points of a company's performance and also construct the satisfaction functions according to each criterion. Our research is based on an electronic retailing case study. Multi-criteria satisfaction analysis (MUSA) model is used for measuring electronic customer satisfaction and creating satisfaction functions. Improvement diagram and some indices are used for recognising the company's situation. The paper shows that the MUSA model is a very useful method for customer satisfaction measurement and provides some useful parameters for customer analysis. Using this model in our case study shows that: 1) quality of products is the most important criterion for customers; 2) the electronic retailing should keep website security, product quality and fulfilment activities in order to enhance customer satisfaction; 3) the satisfaction functions of most criteria are convex in most intervals.
Keywords: customer satisfaction; electronic commerce; e-commerce; MUSA model; satisfaction function; improvement map; multicriteria satisfaction analysis; electronic retailing; e-tailing; website security; product quality; fulfilment activities. (search for similar items in EconPapers)
Date: 2014
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.inderscience.com/link.php?id=59253 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ids:ijbisy:v:15:y:2014:i:2:p:189-204
Access Statistics for this article
More articles in International Journal of Business Information Systems from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().