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

Institutions

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

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Hau‐Ling Chan, Ciwei Dong, Bin Shen
1 citations
Asia Pacific Journal of Operational Research
Big Data and Business Intelligence
2.28
article

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

Hau‐Ling Chan, Ciwei Dong, Bin Shen
article en
1 citations

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.

Asia Pacific Journal of Operational ResearchVol. 42(01)
Hong Kong Polytechnic University (HK), Zhongnan University of Economics and Law (CN), Donghua University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 15%
Big Data and Business Intelligence
2.28
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.