Economics and Management Empowered by Data Science
DETAILS
Call for Papers – Economics and Management Empowered by Data Science
Journal: Journal of Management Science and Engineering
Publisher: Elsevier
Submission deadline: 31 October 2026
This special issue explores how data science, big data, AI, and advanced statistical methods are reshaping economics and management research. It invites work that integrates cutting‑edge data‑driven approaches—such as machine learning, econometrics, optimization, and statistical computing—with real‑world management and economic problems in macroeconomics, corporate decision‑making, operations, finance, supply chains, platform economies, and digital governance.
Types of research this SI invites
Type of research | Typical focus |
|---|---|
Theory and methods | Data‑science, optimization, and econometric innovations for economic and management modelling |
Empirical / data‑driven studies | Applications using new data (e.g., big data, text, network data) or new methods to deepen understanding in management and economics |
Conceptual / integrative work | Bridges between statistics, computer science, and management economics |
Guest editors (full information)
Dr Jinyuan Chang, School of Finance and Economics, Southwestern University of Finance and Economics, Chengdu, China, Email: changjinyuan@swufe.edu.cn
Dr Hansheng Wang, Guanghua School of Management, Peking University, Beijing, China, Email: hansheng@gsm.pku.edu.cn
Dr Xinyu Zhang, Institute of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, China, Email: xinyu143@ustc.edu.cn
List of suggested topic areas
Data‑science theory and statistical computing for management and economics
Optimization, econometric models, and forecasting methods in uncertain environments
Applications of machine learning, AI, and big data to:
Macroeconomic analysis, corporate decision‑making, and financial risk
Operations and supply‑chain management, platform economy, and digital governance
Studies that demonstrate how new data, methods, or models overcome existing research limitations and advance knowledge in management and economics
Submission information
Submissions must be made online via the journal’s Editorial Manager system and are accepted until 31 October 2026:
https://www.editorialmanager.com/jmseng/default.aspx
Authors should select article type “VSI: Economics and Management Empowered by Data Science” and adhere to the journal’s Guide for Authors:
https://www.keaipublishing.com/en/journals/journal-of-management-science-and-engineering/guide-for-authors
Papers should be original, not under review elsewhere, and must clearly state their contribution to theory and practice.
ServiceSetu Academics — Premier Platform for Academic Opportunities & Research Collaboration
COMMENTS (0)
Sign in to join the conversation
SIGN IN TO COMMENT