Advances in Economics, Management and Political Sciences
- The Open Access Proceedings Series for Conferences
Proceedings of the 2023 International Conference on Management Research and Economic Development
Series Vol. 23 , 13 September 2023
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Access | Article
The Reconstruction of Artificial Intelligence on the Fit of Business Model in E-Commerce Industry—Case Study of Alibaba
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Abstract
Artificial intelligence has reconstructed the business model of the e-commerce industry and brought about fundamental changes in the industry ecology. However, few studies have comprehensively and clearly exposed the mechanism and impact of this change. In this paper, we decompose the existing business model elements and integrate artificial intelligence with the deconstructed business model elements based on the scenario of a changed e-commerce platform business model. Through the case study of Alibaba, the largest e-commerce platform in China, we constructed the module division of "people", "goods and services," and "scene" for the e-commerce industry based on the business model canvas, and summarized the mechanism of artificial intelligence to reconstruct the business model of e-commerce industry. This paper reveals the mechanism of digital technology transforming the fit of business model in e-commerce industry, and provides theoretical and practical guidance for e-commerce enterprises to make full use of digital technology to achieve business model innovation.
Keywords
artificial intelligence, digital technology, the fit of business model, Alibaba, people-goods matching
References
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Data Availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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- Volume Title
- Proceedings of the 2023 International Conference on Management Research and Economic Development
- ISBN (Print)
- 978-1-915371-89-8
- ISBN (Online)
- 978-1-915371-90-4
- Published Date
- 13 September 2023
- Series
- Advances in Economics, Management and Political Sciences
- ISSN (Print)
- 2754-1169
- ISSN (Online)
- 2754-1177
- DOI
- 10.54254/2754-1169/23/20230365
- Copyright
- 13 September 2023
- Open Access
- This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited