An Innovative B2C E-commerce Websites Selection using the ME-OWA and Fuzzy AHP
Journal Title: Annals of Computer Science and Information Systems - Year 2018, Vol 14, Issue
Abstract
Today internet has emerged as a huge marketplace of products and services for meeting needs of more than a million customers worldwide. It provides users a platform to access information globally in electronic form as well as in terms of business transaction, such as,e-payments, e-orders and e-booking etc. The advent of the internet has led to the establishment of electronic commerce. Today a large number of B2C e-commerce websites are available, which makes it difficult not only for the customers to find right product at right price, but also for a company to choose a better site for selling its product. Thus, there is need to rank e-commerce websites in B2C electronic commerce. The objective of this paper is to rank e-commerce websites on the basis of success factors, namely, System Quality, Content Quality, Usages, Trust, Customer Support, Online Customer Feedback and Personalization. Here we have used a two stage approach combining maximum entropy-ordered weighted averaging aggregation (ME-OWA) with fuzzy Analytic Hierarchy Process (FAHP) for choosing the best B2C e-commerce website.
Authors and Affiliations
Anu G. Aggarwal, Akash Sharma
Keywords
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- EP ID EP568995
- DOI 10.15439/2017KM37
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