讲座题目：Present Bias in Operations
主讲嘉宾：Nicholas G. Hall
Nicholas G. Hall is Berry Professor of Operations & Business Analytics, Fisher College of Business, The Ohio State University. He holds a Ph.D. in Management Science (University of California, Berkeley). His research and teaching interests are in project management, scheduling, and sports analytics. He has published 97 articles in Operations Research, Management Science, Mathematics of Operations Research, Mathematical Programming, Games and Economic Behavior, Interfaces, and others. He has served for over 45 years on the editorial boards of Operations Research and Management Science, and given over 420 academic presentations, over 200 invited presentations in 29 countries, 20 conference keynote presentations, and 10 INFORMS tutorials. A 2008 citation study ranked him 13th among 1,376 operations scholars. In 2018, he served as President of INFORMS. A 2021 bibliometric study ranked him 1st in the field of scheduling over 1952–2019. He is the author of 8 of the 128 articles in the h-index of Operations Research (1952-2021). He is a Fellow of INFORMS. In 2022, he published Supply Chain Scheduling (Springer, 706 pp), with Zhi-Long Chen.
Present bias, especially without self-awareness, causes significant loss of utility in operational decisions. This loss arises from poor task choice and procrastination. This work considers the effect of present bias in a simple scheduling system that requires decisions about project timing and sequencing. We design algorithms that enable optimization of revenue less cost under present bias for both naive and sophisticated (i.e., self-aware) decision makers. We describe managerial insights about the relative performance of time-consistent, naive, and sophisticated decision makers, and how to mitigate the effects of present bias. Both theoretical and computational results support these insights. [Hall and Liu, POM 32 (2023) 1743-1759.]. Additionally, project management is responsible for almost 30% of the world's economic activity, with an annual value of $27 trillion. We show that the traditional explanation for project lateness, i.e. Parkinson's Law, is insufficient and present bias is a better explanation. We therefore design and test an incentive scheme to mitigate the effect of present bias. [Shi, Hall and Cui, OR 71 (2023).]