A Model of E-Commerce Self-Assessment System Based on E-Customer Behavior
6 Pages Posted: 21 May 2018 Last revised: 19 Jun 2018
Date Written: May 15, 2018
In the present paper, we aim to propose a new approach for e-commerce website’s quality assessment. The proposed system evaluates the customer’s satisfaction from their online activities. Website’s criteria are regarded as entries variables for our proposed evaluation system. The values of these criteria are captured implicitly based on online behavior of potential users using the website, considering the fact that consumer’s behavior may be interpreted as fuzzy values. It is a multi criteria procedure combined with fuzzy logic that search for valuable and dynamic information to automatic evaluate e-commerce websites, enhance sales, make decision by website’s managers and satisfy customer needs. The importance of the criterion to determine different ecommerce customer’s satisfaction levels is evaluated from customer’s behavior.
Keywords: E-Customer Satisfaction, Click Stream Data, Ecommerce Website, Weighting, Preference Aggregation, Class Prototype, Fuzzy Logic
Suggested Citation: Suggested Citation