智能运营管理实验室（IOM）以计量分析和设计科学为方法论核心，构建了涵盖“数据—算法—协同—平台—商业模式”全链条的供应链管理研究体系。该体系重点探索数智供应链中的数据要素流通管理、智能算法优化、人机协同机制、平台生态治理及商业模式创新等前沿科学问题。实验室通过融合计量因果推断、设计科学和实验研究等多种方法，致力于搭建管理理论创新与管理实践应用之间的桥梁，推动管理学学术前沿的突破，创造社会经济价值，旨在成为具有国际影响力的智能运营管理研究中心。

The Intelligent Operations and Management (IOM) Laboratory is grounded in economics and design science as its core research paradigms, systematically exploring the integrated architecture of data, algorithms, collaboration mechanisms, digital platforms, and business models within the field of intelligent supply chain management. The laboratory is dedicated to addressing critical and emerging research questions related to the valuation and utilization of data elements, the optimization of intelligent algorithms, the design of human–machine collaboration frameworks, governance of platform-based ecosystems, and the innovation of digitally enabled business models in the context of supply chain management. Drawing on a multi-methodological approach, including quantitative causal inference, experimental design, and design science research, the IOM seeks to bridge theoretical advancements with empirical applications. Its research agenda is oriented toward generating original scholarly contributions while promoting socio-economic impact through translational research. The laboratory is committed to establishing itself as a leading academic center with international influence in the domains of the digital economy and intelligent operations management.