Scientific Management has evolved from the early principles of Taylorism—focusing on empirical observation and workflow optimization—into a sophisticated domain of Decision Science and Operations Research. Today, the rapid advancement of Artificial Intelligence (AI), particularly Large Language Models (LLMs), Deep Reinforcement Learning, and Graph Analytics, offers a transformative opportunity to revisit the foundations of Scientific Management through the lens of modern Management Analytics.
Journal of Management Analytics (JMA), an SSCI Q1 and ABS 2 Journal, focuses on the theory of data analytics and its applications in business and management, including accounting, finance, management, marketing, production/operations management, supply chain management, and healthcare management. This special issue seeks to explore the interface between advanced artificial intelligence and these core business functions. While traditional analytics often focus on descriptive or predictive insights, "AI for Scientific Management" emphasizes prescriptive intelligence—using AI to autonomously optimize organizational systems and bridge the gap between AI theory and management practice. We invite high-quality research that develops new analytical frameworks, provides empirical evidence of AI effectiveness, or introduces innovative simulation models that push the boundaries of how businesses are scientifically managed in the age of big data.
JMA will organize a symposium for the Special Issue on June 15-16, 2026 at ESCP Turin, Italy. Partial funding for the presenting author at the Symposium will be provided for outstanding papers after being accepted.
There is no submission fee. Please select Special Issue ' AI for Scientific Management: Advancing Decision Science through Artificial Intelligence ' when submitting your paper on ScholarOne (https://mc.manuscriptcentral.com/tjma).
We look forward to the possibility of publishing your research!
Topics of Interest
We welcome submissions that investigate the interface between AI-driven data analytics and various business disciplines. Areas of interest include, but are not limited to:
Important Dates
■ Symposium Submission Deadline: April 20, 2026 ( could be extended for authors that do not need a visa , please inquire the Editorial Office at: ijma@sjtu.edu.cn )
■ Paper Submission Deadline: September 30, 2026
■ First Round Notification: January 31, 2027
■ Acceptance Notification: August 31, 2027
■ Final Papers Submission: September 30, 2027
Guest Editors
If you need advice on your article before submission, our Guest Editors are happy to discuss with you.
Jianbin Li | Huazhong University of Science & Technology
Email: jbli@mail.hust.edu.cn
Robin G. Qiu | Pennsylvania State University
Email: robinqiu@psu.edu
Weihua Zhou | Zhejiang University
Email: larryzhou@zju.edu.cn
Xiang Zhu | University of Groningen
Email: x.zhu@rug.nl
About JMA
The Journal of Management Analytics (JMA) focuses on the theory of data analytics and its applications in business and management, including accounting, finance, management, marketing, production/operations management, supply chain management, and healthcare management.
JMA is recognized by many world-known citation databases and Journal lists including SSCI, ABS (Grade 2), Scopus, Ei, EBSCO, Inspec, ABDC, ANVUR, etc. JMA’s latest Journal Impact Factor reached 4.5 (JCR Q1) and Scopus CiteScore reached 9.9 (ranked top 2%).
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