Operational Research Models for E-Commerce Platforms: Business Model Innovation (Part 2)

Bin Shen (), Ciwei Dong and Hau-Ling Chan ()
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Bin Shen: Glorious Sun School of Business and Management, Donghua University, Shanghai 200051, P. R. China
Ciwei Dong: School of Business Administration, Zhongnan University of Economics and Law, Wuhan 430073, P. R. China
Hau-Ling Chan: Business Division, School of Fashion and Textiles, The Hong Kong Polytechnic University, Hung Hom Kowloon, Hong Kong, P. R. China

Asia-Pacific Journal of Operational Research (APJOR), 2025, vol. 42, issue 01, 1-9

Abstract: 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.

Keywords: OR models; e-commerce platforms; new technology innovation (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1142/S0217595925020014

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