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<p>Technology, which develops day by day, has brought changes to shopping behavior. The crucial indicator of these changes was in the field of trade. The transition to online working environments has begun rapidly. The COVID-19 epidemic has accelerated this process and forced people to adapt to online shopping. This increasing interest in the e-commerce sector accelerated the work in this direction and led to many e-commerce platforms. However, increasing e-commerce platforms have revealed a new problem and brought to mind the question of which platform is the most demanding. This study aims to rank e-commerce platforms using Multi-Criteria Decision Making (MCDM) methods, TOPSIS, VIKOR, and MOORA, according to the criteria, and to ensure that the companies currently have a high share of the market are ranked among themselves. For this purpose, as a result of the studies carried out for ten e-commerce sites, the Modified TOPSIS method was developed by bringing innovation to the existing methodology. Unlike the literature, the criteria in the developed model are discussed in detail, especially for categorical data using a novel modified TOPSIS model. The result of the developed model was examined, and e-commerce platforms were ranked. Finally, results were obtained in terms of competitiveness. The analysis revealed that ALT4 consistently ranked highest across the modified TOPSIS method, while other MCDM methods offer ALT1, indicating its strong market competitiveness.</p>

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Development of a new modified Topsis model to rank the e-commerce companies using the categoric data sets

  • 期刊论文

  • 发表日期：

    2025年9月26日

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  • Işıl Arısoy,
  • Yusuf Tansel Ic

摘要

Technology, which develops day by day, has brought changes to shopping behavior. The crucial indicator of these changes was in the field of trade. The transition to online working environments has begun rapidly. The COVID-19 epidemic has accelerated this process and forced people to adapt to online shopping. This increasing interest in the e-commerce sector accelerated the work in this direction and led to many e-commerce platforms. However, increasing e-commerce platforms have revealed a new problem and brought to mind the question of which platform is the most demanding. This study aims to rank e-commerce platforms using Multi-Criteria Decision Making (MCDM) methods, TOPSIS, VIKOR, and MOORA, according to the criteria, and to ensure that the companies currently have a high share of the market are ranked among themselves. For this purpose, as a result of the studies carried out for ten e-commerce sites, the Modified TOPSIS method was developed by bringing innovation to the existing methodology. Unlike the literature, the criteria in the developed model are discussed in detail, especially for categorical data using a novel modified TOPSIS model. The result of the developed model was examined, and e-commerce platforms were ranked. Finally, results were obtained in terms of competitiveness. The analysis revealed that ALT4 consistently ranked highest across the modified TOPSIS method, while other MCDM methods offer ALT1, indicating its strong market competitiveness.