Operational Research Models for E-Commerce Platforms: Business Model Innovation (Part 2)
New technology innovations and operational research (OR) models can enhance the efficiency and competitiveness of e-commerce platforms. The rapid expansion of e-commerce has led to increased complexity in operations, including dynamic pricing, inventory management, last-mile delivery, and fraud detection. This special issue features nine articles exploring how advanced OR models, such as game-theory-based approaches, machine learning, and big data analytics, offer solutions to these challenges by enabling platforms to make data-driven decisions. As e-commerce evolves, these technological advancements, combined with OR models, will continue to drive platform innovation, improve efficiency, and strengthen resilience in the face of disruptions and fluctuating market demands.
Authors
- Hau‐Ling Chan (ORCID: https://orcid.org/0000-0002-2531-3084)
- Ciwei Dong (ORCID: https://orcid.org/0000-0002-9059-8776)
- Bin Shen (ORCID: https://orcid.org/0000-0002-1420-0658)
Institutions
- Hong Kong Polytechnic University (HK)
- Zhongnan University of Economics and Law (CN)
- Donghua University (CN)
Publication Details
- Journal
- Asia Pacific Journal of Operational Research
- Published
- 2025-02-01
- DOI
- https://doi.org/10.1142/s0217595925020014
- Citations
- 1
- Primary Topic
- Big Data and Business Intelligence
- Type
- article
- Field-Weighted Citation Impact
- 2.28
Funders
- National Natural Science Foundation of China