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This research aims to evaluate e-commerce website performance using multi-criteria decision-making methods.

Performance Evaluation of E-Commerce Websites Based on Multi-Criteria Decision-Making Methods

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This research aims to evaluate e-commerce website performance using multi-criteria decision-making methods.
Analyzed website performance of 25 e-commerce companies in Türkiye.
Employed MAXC and SITDE methods for determining criterion weights.
Utilized the CORASO method to rank the performance of the sites.
The highest weight was given to 'total number of visitors', while the lowest was for 'bounce rate'.
Top three performing sites identified as EC1, EC2, and EC3.
Bottom three performing sites identified as EC11, EC14, and EC20.

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Evaluates website performance in e-commerce, ranking companies based on technical and user-oriented criteria.

Özsalman et al. (2026) studied this question.

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