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Management Science and Engineering Management (MSEM) is an interdisciplinary field that combines quantitative analysis, systems optimization, and engineering practice. It aims to address complex organizational decision-making and operational challenges through scientific methods and technological innovation. At its core, MSEM leverages tools such as mathematical modeling, data-driven methods, and intelligent algorithms to optimize resource allocation, improve operational efficiency, and support sustainable development goals. This study uses the proceedings of the 19th International Conference on Management Science and Engineering Management (ICMSEM) as the basis for analysis and systematically reviews emerging research trends in the field. First, by analyzing the themes of all accepted papers, five high-frequency research keywords are identified: Data Analytics, Information Technology, Operations Research, Supply Chain Management, and Sustainable Development. Second, the paper examines key thematic concerns and focal areas highlighted in the 19th ICMSEM proceedings. Finally, using CiteSpace for keyword clustering and burst analysis, the study explores emerging trends and future directions in the field. As a significant academic platform in the MSEM field, the 19th ICMSEM showcases diverse theoretical advancements and practical applications. Through interdisciplinary and international dialogue, it contributes fresh perspectives and methodologies for advancing future research.

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Advancements in AI-Driven Analytics and Digital Operations of Management Science and Engineering Management in the 19th ICMSEM Proceedings

  • 会议论文

  • 发表日期：

    2025年

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  • Jiuping Xu

摘要

Management Science and Engineering Management (MSEM) is an interdisciplinary field that combines quantitative analysis, systems optimization, and engineering practice. It aims to address complex organizational decision-making and operational challenges through scientific methods and technological innovation. At its core, MSEM leverages tools such as mathematical modeling, data-driven methods, and intelligent algorithms to optimize resource allocation, improve operational efficiency, and support sustainable development goals. This study uses the proceedings of the 19th International Conference on Management Science and Engineering Management (ICMSEM) as the basis for analysis and systematically reviews emerging research trends in the field. First, by analyzing the themes of all accepted papers, five high-frequency research keywords are identified: Data Analytics, Information Technology, Operations Research, Supply Chain Management, and Sustainable Development. Second, the paper examines key thematic concerns and focal areas highlighted in the 19th ICMSEM proceedings. Finally, using CiteSpace for keyword clustering and burst analysis, the study explores emerging trends and future directions in the field. As a significant academic platform in the MSEM field, the 19th ICMSEM showcases diverse theoretical advancements and practical applications. Through interdisciplinary and international dialogue, it contributes fresh perspectives and methodologies for advancing future research.