Paradigm Shifts in Management Analytics: A Review of Articles Published in the Journal of Management Analytics of 2025
In recent years, management analysis has become more pragmatic. While data infrastructure is more mature and artificial intelligence (AI) tools are more powerful, the supply chain and organizational environment are more uncertain. The focus of academic research has also changed accordingly. It no longer merely pursues higher prediction accuracy but pays more attention to how to understand complex systems and how to support actionable decisions. This article selects 36 papers published in the Journal of Management Analytics in 2025 for a literature review. The results show that the annual research focuses on five themes: supply chain optimization and resilience, AI and Generative Model-driven Decision Support, Human resource analysis, optimization under Sustainability and ESG constraints, method integration and modeling innovation. This article forms an annual research map through a literature review, which presents references for academic research and management practice.
Authors
- Jianfeng Wu
- Xiaowen Hu
Institutions
- Dalian University of Technology (CN)
- Beijing International Studies University (CN)
Publication Details
- Journal
- Journal of Industrial Integration and Management
- Published
- 2025-12-31
- DOI
- https://doi.org/10.1142/s2424862225300029
- Primary Topic
- Big Data and Business Intelligence
- Type
- article
- Field-Weighted Citation Impact
- 0.00