Please use this identifier to cite or link to this item:
Title: A fuzzy classification approach to assess e-commerce security perception
Authors: Kamoun, F. 
Halaweh, M. 
Issue Date: 2012
Journal: International Journal of Business Information Systems 
Abstract: Human perception and judgment of website security is characterised by a high degree of subjectivity, abstraction and vagueness. This makes fuzzy set theory an effective tool to guide towards assessing e-commerce security perception. In this study, we propose a new approach to assess e-commerce security perception, which is based on fuzzy classification techniques. We first present a practical e-commerce security assessment framework which is based on a comprehensive set of security features. Using fuzzy set theory, we provide website users with the flexibility to assign linguistic judgment terms to each security feature, as well as weights to reflect different perceived levels of features' importance. A case study is conducted to showcase the usefulness of the proposed solution. The framework and approach presented in this study can be useful in assisting e-commerce firms evaluate the current state of customer perception of their websites' security and identify areas which must be improved. © 2012 Inderscience Enterprises Ltd.
DOI: 10.1504/IJBIS.2012.044457
Appears in Collections:Articles

Show full item record

Citations 50

Last Week
Last month
checked on Feb 12, 2019

Page view(s)

Last Week
Last month
checked on Feb 19, 2019

Google ScholarTM



Items in Corepaedia are protected by copyright, with all rights reserved, unless otherwise indicated.