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Title:      EVALUATION OF E-COMMERCE WEBSITES BY MULTI-CRITERIA DECISION ANALYSIS
Author(s):      Liyang Liu, Simon Fong
ISBN:      978-972-8939-46-5
Editors:      Piet Kommers and Pedro Isaías
Year:      2011
Edition:      Single
Keywords:      Multi-attribute decision making, website evaluation, shopping sites.
Type:      Short Paper
First Page:      377
Last Page:      381
Language:      English
Cover:      cover          
Full Contents:      click to dowload Download
Paper Abstract:      With the booming of e-commerce market a tremendous growth of shopping websites is emerged, both in terms of quantity and the value-added features offered within a site. Shoppers nowadays in this e-society have faced more complex options than ever in choosing not only the right products, but the website from which they wish to purchase their desired products. In this paper a framework of multi-criteria decision analysis (MCDM) was proposed for evaluating major e-commerce websites in a country. MCDM allows breaking down of the attributes that contribute to the convenience, usability and performance of a website under evaluation, and the corresponding relative importance (aka weights) to be modeled. The perception of ‘best’ websites can be quantified and sorted as a top list to the users. In general, our framework could potentially be used as a benchmarking tool for website evaluation as well as an underlying mechanism for recommender engine to be embedded in decision support system. An empirical experiment was conducted for validation the effectiveness of the framework, and reported in this paper.
   

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