Special Issue on AI for Scientific Management: Advancing Decision Science through Artificial Intelligence

𝗖𝗔𝗟𝗟 𝗙𝗢𝗥 𝗣𝗔𝗣𝗘𝗥𝗦

Special Issue on AI for Scientific Management: Advancing Decision Science through Artificial Intelligence

𝗝𝗼𝘂𝗿𝗻𝗮𝗹:
Journal of Management Analytics

𝗣𝘂𝗯𝗹𝗶𝘀𝗵𝗲𝗿:
Taylor & Francis Group

𝗠𝗮𝗻𝘂𝘀𝗰𝗿𝗶𝗽𝘁 𝗗𝗲𝗮𝗱𝗹𝗶𝗻𝗲:
30 September 2026

𝗜𝗻𝘁𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻

The Journal of Management Analytics invites submissions for a Special Issue on “AI for Scientific Management: Advancing Decision Science through Artificial Intelligence.”

Scientific Management has evolved significantly from the early principles of Taylorism focused on workflow optimization and efficiency into a sophisticated discipline encompassing Decision Science, Operations Research, and Management Analytics. Today, advances in Artificial Intelligence (AI), including Large Language Models (LLMs), Deep Reinforcement Learning, Machine Learning, and Graph Analytics, are creating unprecedented opportunities to transform managerial decision-making and organizational performance.

This Special Issue aims to explore how AI technologies can advance Scientific Management by enabling prescriptive intelligence, autonomous optimization, and data-driven decision-making across diverse business functions. The issue seeks to bridge the gap between cutting-edge AI research and practical management applications, providing new analytical frameworks, empirical evidence, and innovative models that redefine how organizations operate in the age of big data.

𝗦𝗰𝗼𝗽𝗲 & 𝗦𝗶𝗴𝗻𝗶𝗳𝗶𝗰𝗮𝗻𝗰𝗲

The Special Issue focuses on the integration of AI-driven analytics with business and management disciplines including operations, supply chain management, finance, accounting, marketing, healthcare, and organizational governance.

Researchers are encouraged to contribute studies that demonstrate how AI can move beyond descriptive and predictive analytics toward prescriptive intelligence—helping organizations autonomously optimize processes, improve strategic decision-making, and enhance operational efficiency.

The issue welcomes conceptual, empirical, methodological, simulation-based, and interdisciplinary research that advances understanding of AI-enabled management systems and decision science.

𝗟𝗶𝘀𝘁 𝗼𝗳 𝗧𝗼𝗽𝗶𝗰 𝗔𝗿𝗲𝗮𝘀

Manuscripts are invited on topics including, but not limited to:

• AI in Production and Operations Management
• Self-optimizing manufacturing systems and predictive maintenance
• AI-driven workforce scheduling and operational efficiency
• AI in Supply Chain Management and logistics optimization
• Blockchain-integrated AI for supply chain transparency
• AI in Finance and Accounting, including fraud detection and intelligent auditing
• Machine learning applications in financial decision-making
• AI-powered Marketing Analytics and hyper-personalization
• Customer lifetime value prediction and sentiment-driven market analysis
• Autonomous Agents and Multi-Agent Systems (MAS) for organizational decision-making
• Agent-based modeling for strategy testing and business simulations
• Reinforcement Learning integrated with Operations Research
• Explainable AI (XAI) and managerial trust in AI systems
• Causal inference methods in AI for management
• Human-AI interaction and algorithmic management
• Organizational governance and ethical management of AI systems
• Decision bias in AI-assisted managerial environments

𝗚𝘂𝗲𝘀𝘁 𝗘𝗱𝗶𝘁𝗼𝗿𝘀

Prof. Jianbin Li
School of Management, Huazhong University of Science & Technology, China
Email: jbli@mail.hust.edu.cn

Prof. Robin G. Qiu
Big Data Lab, Pennsylvania State University, USA
Email: robinqiu@psu.edu

Prof. Weihua Zhou
School of Management, Zhejiang University, China
Email: larryzhou@zju.edu.cn

Prof. Xiang Zhu
Faculty of Economics and Business, University of Groningen, Netherlands
Email: x.zhu@rug.nl

𝗞𝗲𝘆 𝗗𝗲𝗮𝗱𝗹𝗶𝗻𝗲𝘀

Workshop Participation Submission Deadline: 20 April 2026

Invited Paper Workshop: June 2026

Manuscript Submission Deadline: 30 September 2026

First Round Notification: 31 January 2027

Acceptance Notification: 31 August 2027

Final Paper Submission: 30 September 2027

𝗦𝘂𝗯𝗺𝗶𝘀𝘀𝗶𝗼𝗻 𝗚𝘂𝗶𝗱𝗲𝗹𝗶𝗻𝗲𝘀

• Manuscripts must be written in English and contain original, unpublished work.
• Papers must not be under review by any other journal at the time of submission.
• All submissions should follow the Journal of Management Analytics author guidelines.
• During submission, authors must select the Special Issue title “AI for Scientific Management” to ensure proper routing to the guest editorial team.
• All papers will undergo a rigorous double-blind peer-review process.
• Manuscripts should be submitted through the journal’s online submission system.

𝗔𝗯𝗼𝘂𝘁 𝘁𝗵𝗲 𝗝𝗼𝘂𝗿𝗻𝗮𝗹

The Journal of Management Analytics is an internationally recognized peer-reviewed journal dedicated to advancing the theory and application of analytics in business and management. The journal publishes cutting-edge research across accounting, finance, marketing, operations management, supply chain management, healthcare management, and organizational decision-making, providing a global platform for innovative analytics research and practice.

𝗣𝗼𝘀𝘁𝗲𝗱 𝗼𝗻 𝗦𝗲𝗿𝘃𝗶𝗰𝗲𝗦𝗲𝘁𝘂 𝗔𝗰𝗮𝗱𝗲𝗺𝗶𝗰𝘀 — 𝗣𝗿𝗲𝗺𝗶𝗲𝗿 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺 𝗳𝗼𝗿 𝗔𝗰𝗮𝗱𝗲𝗺𝗶𝗰 𝗢𝗽𝗽𝗼𝗿𝘁𝘂𝗻𝗶𝘁𝗶𝗲𝘀 & 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝗖𝗼𝗹𝗹𝗮𝗯𝗼𝗿𝗮𝘁𝗶𝗼𝗻

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