A fuzzy logic-based system for assessing the level of business-to-consumer (B2C) trust in electronic commerce
Document Type
Article
Source of Publication
Expert Systems with Applications
Publication Date
5-1-2005
Abstract
The purpose of this paper is to present an application of fuzzy logic to human reasoning about electronic commerce (e-commerce) transactions. This paper uncovers some of the hidden relationships between critical factors such as security, familiarity, design, and competitiveness. We analyze the effect of these factors on human decision process and how they affect the Business-to-Consumer (B2C) outcome when they are used collectively. This research provides a toolset for B2C vendors to access and evaluate a user's transaction decision process, and also an assisted reasoning tool for the online user. © 2005 Elsevier Ltd. All rights reserved.
DOI Link
ISSN
Publisher
Elsevier BV
Volume
28
Issue
4
First Page
623
Last Page
628
Disciplines
Computer Sciences
Keywords
Business-to-Consumer, e-commerce, Fuzzy logic
Scopus ID
Recommended Citation
Akhter, Fahim; Hobbs, Dave; and Maamar, Zakaria, "A fuzzy logic-based system for assessing the level of business-to-consumer (B2C) trust in electronic commerce" (2005). All Works. 123.
https://zuscholars.zu.ac.ae/works/123
Indexed in Scopus
yes
Open Access
no