Title: A fuzzy classification approach to assess e-commerce security perception

Authors: Faouzi Kamoun; Mohanad Halaweh

Addresses: College of Information Technology, University of Dubai, P.O. Box 14143, Dubai, UAE. ' College of Information Technology, University of Dubai, P.O. Box 14143, Dubai, UAE

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.

Keywords: e-commerce security; security perception; security assessment; fuzzy sets; risk perception; e-commerce adoption; trust; fuzzy linguistic computing; fuzzy logic; electronic commerce; website security; fuzzy classification.

DOI: 10.1504/IJBIS.2012.044457

International Journal of Business Information Systems, 2012 Vol.9 No.1, pp.108 - 126

Published online: 16 Aug 2014 *

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