Evaluation of E-Learning Web Sites Using Fuzzy Axiomatic Design Based Approach

TLDR

High‑quality websites are widely recognized as essential for online business, and many studies have examined the link between site quality and business performance. The study adopts an axiomatic‑design based fuzzy group decision‑making approach to evaluate e‑learning website quality. The authors employ a fuzzy group decision‑making method grounded in axiomatic design, complemented by fuzzy TOPSIS to validate the results. The proposed method reduces problem size by incorporating requirements, outperforming fuzzy TOPSIS, and a Turkish e‑learning case study demonstrates its effectiveness, yielding managerial insights and future research directions.

Abstract

High quality web site has been generally recognized as a critical enabler to conduct online business. Numerous studies exist in the literature to measure the business performance in relation to web site quality. In this paper, an axiomatic design based approach for fuzzy group decision making is adopted to evaluate the quality of e-learning web sites. Another multi-criteria decision making technique, namely fuzzy TOPSIS, is applied in order to validate the outcome. The methodology proposed in this paper has the advantage of incorporating requirements and enabling reductions in the problem size, as compared to fuzzy TOPSIS. A case study focusing on Turkish e-learning websites is presented, and based on the empirical findings, managerial implications and recommendations for future research are offered.