A Model of E-Commerce Self-Assessment System Based on E-Customer Behavior

6 Pages Posted: 21 May 2018 Last revised: 19 Jun 2018

See all articles by Houda ZAIM

Houda ZAIM

University Hassan II of Casablanca

Mohammed Ramdani

University Hassan II of Casablanca

Adil Haddi

Hassan 1st University of Settat, Morocco

Date Written: May 15, 2018

Abstract

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

ZAIM, Houda and Ramdani, Mohammed and Haddi, Adil, A Model of E-Commerce Self-Assessment System Based on E-Customer Behavior (May 15, 2018). Smart Application and Data Analysis for Smart Cities (SADASC'18). Available at SSRN: https://ssrn.com/abstract=3179244 or http://dx.doi.org/10.2139/ssrn.3179244

Houda ZAIM (Contact Author)

University Hassan II of Casablanca ( email )

Casablanca, 20000
Morocco

Mohammed Ramdani

University Hassan II of Casablanca ( email )

Casablanca, 20000
Morocco

Adil Haddi

Hassan 1st University of Settat, Morocco ( email )

Register to save articles to
your library

Register

Paper statistics

Downloads
91
Abstract Views
370
rank
282,072
PlumX Metrics