Abstract
The widespread use of the internet and the convenience offered by online shopping have changed consumers' shopping habits, increasing the demand for e-commerce. In the e-commerce ecosystem, where the competitive environment is increasing day by day, platforms must analyze the needs of their customers and prioritize their selection criteria. With this analysis platforms can make their investment and development in these areas. In the literature review, the prominent criteria for customers' platform and brand selection were researched and eleven factors were determined. Afterwards, relationship tables were created through one-to-one surveys with eight experts working in the e-commerce sector and the factors were analyzed with the Fuzzy Cognitive Mapping. During the analysis, FCM model was preferred because it examines the causal relationships between the components of a complex and dynamic system. This study is intended to contribute to the development strategies of e-commerce platforms by analyzing the factors affecting customers' choice of e-commerce platform.
Original language | English |
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Title of host publication | Proceedings of 2024 Cognitive Models and Artificial Intelligence Conference, AICCONF 2024 |
Publisher | Association for Computing Machinery |
Pages | 191-195 |
Number of pages | 5 |
ISBN (Electronic) | 9798400716928 |
DOIs | |
Publication status | Published - 25 May 2024 |
Event | 2024 Cognitive Models and Artificial Intelligence Conference, AICCONF 2024 - Istanbul, Turkey Duration: 25 May 2024 → 26 May 2024 |
Publication series
Name | ACM International Conference Proceeding Series |
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Conference
Conference | 2024 Cognitive Models and Artificial Intelligence Conference, AICCONF 2024 |
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Country/Territory | Turkey |
City | Istanbul |
Period | 25/05/24 → 26/05/24 |
Bibliographical note
Publisher Copyright:© 2024 ACM.
Keywords
- cognitive models
- E-commerce
- fuzzy cognitive mapping
- prioritization of factors