An Innovative B2C E-commerce Websites Selection using the ME-OWA and Fuzzy AHP

• Autorzy: Aggarwal A. G. , Sharma A.

Identyfikatory

DOI

10.15439/2017KM37

• Konferencja: International Conference on Information Technology and Knowledge Management (1 ; 22-23.12.2017 ; New Delhi, India)
• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

customer oriented success factors; e-commerce; fuzzy set; FAHP; ME-OWA

PL

czynniki sukcesu zorientowane na klienta; e-commerce; logika rozmyta; FAHP; ME-OWA

• Wydawca: Polskie Towarzystwo Informatyczne
• Czasopismo: Annals of Computer Science and Information Systems
• Rocznik: 2018
• Tom: Vol. 14
• Strony: 13--19
• Opis fizyczny: Bibliogr. 19 poz., wz., wykr., il.

Twórcy

autor

Aggarwal A. G.

• Department of Operational Research, University of Delhi, Delhi, India

autor

Sharma A.

• Department of Operational Research, University of Delhi, Delhi, India

Bibliografia

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Uwagi

1. Preface

2. Technical Session: First International Conference on Information Technology and Knowledge Management