报告时间：2026年5月6日（星期三）16:00-17:30
报告地点：翡翠湖校区科教楼B座1002会议室
报 告 人：Chee-Wee Tan 教授
工作单位：香港理工大学
举办单位：经济学院
报告简介：
Digital freight platforms frequently face cost-efficiency challenges in operating anomaly detection systems amid the “stasis-punctuation” dynamics of freight data. However, theoretical understanding of anomaly detection for such dynamic freight data remains limited, and contemporary anomaly detection system, such as rule-based and AI-based systems fail to deliver satisfactory performance, as they lack two core capabilities simultaneously: (i) stasis anomaly identification and (ii) punctuation adaptation. To address this research gap, this study designs an AI-augmented system for digital freight platforms to tackle dynamic freight data. Guided by distributed cognition theory, we propose a Rule-then-AI sequential system, where the rule module first screens for potential anomalies and the AI module subsequently refines detection by filtering false positives. We conducted three iterative interventions on a leading Chinese digital freight platform. Notably, the final round of field A/B testing validated that the use of our AI-augmented system achieved a 93.0% detection recovery rate and a 31.7% reduction in expert workload, significantly improving cost efficiency. Theoretically, this study contributes by demonstrating that the sequence of integrating rule and AI modules plays a critical role in shaping the performance of AI-augmented systems.
报告人简介：
Chee-Wee Tan is a Professor at the Department of Management and Marketing in the Hong Kong Polytechnic University (PolyU). Before joining PolyU, Chee-Wee is a Professor w/ Special Responsibilities in Research Excellence at Copenhagen Business School (CBS). Chee-Wee received his PhD in Management Information Systems from the University of British Columbia. His research interests focus on design and innovation issues related to digital platforms. His work has been published in leading peer-reviewed journals such as MIS Quarterly (MISQ), Journal of Operations Management (JOM), Information Systems Research (ISR), Journal of Management Information Systems (JMIS), and the Journal of the Association for Information Systems (JAIS), among others. Chee-Wee is holding or has held Honorary and Guest Professorship positions at Chongqing University (CQU), Lingnan University (LNU), Monash University Malaysia (MUM), the University of New South Wales (UNSW), the University of Nottingham Ningbo China (UNNC), the University of Science and Technology of China (USTC), the Weizenbaum Institute for the Networked Society, and Zhejiang University (ZJU). Chee-Wee has served or is currently serving on the editorial boards for ACM Distributed Ledger Technologies: Research and Practice (DLT), DSS, EJIS, Industrial Management & Data Systems (IMDS), IEEE Transactions on Engineering Management (IEEE-TEM), Information & Management (I&M), Information Systems Journal (ISJ), Internet Research (IntR), JAIS, Journal of Computer Information Systems (JCIS), Journal of Management Analytics (JMA), JMIS, and MISQ. Finally, Chee-Wee is the former Vice President of Publications for the Association for Information Systems.
