報告人：Xiaosong (David) Peng教授（美國里海大學）
時間：2020年12月5日 上午10:00-11:30
會議號：騰訊會議710 171 200
內容摘要：
This study examines the effect of work schedule regularity on cashier productivity. The literature suggests that regular work schedule is associated with better rest and healthier lifestyle, and thus higher employee productivity. Higher productivity, in turn, helps to address the trade-off associated with increasing work schedule regularity: while employee well-being and income can be improved, employers will suffer from increased costs and reduced efficiency in the industry sectors where demand is quite volatile. Using scanner data from a retail chain in a northwestern state of the U.S., we find consistent work hour (hour of the day) and consistent work day (day of the week) improve cashier productivity by 0.94% and 1.64%, respectively. However, the effects of the two types of schedule regularity are not complementary. The combined effect is less than the sum of individual effects. We also find clopening (a case where an employee closes the store at night and then comes back to open the store the next morning) sharply decreases cashier productivity by 4.89%. Additionally, work experience weakens the positive effects of work schedule regularity on cashier productivity, probably because experienced cashiers already developed strategies to cope with schedule irregularity. The findings collectively provide some empirical evidence for retailers to fine-tune work schedule and we discuss the implications of our findings in detail.
報告人簡介：
Xiaosong Peng holds Dean’s Chair Professorship at Lehigh University and is chair of the department of Decision and Technology Analytics. His research interests are in operations and supply chain strategy, service and manufacturing technology management, healthcare operations management, and empirical research methods. Much of his research centers around how technology enables strategy and processes in manufacturing and service operations. Professor Peng’s research has appeared in Journal of Operations Management, Production and Operations Management, Decision Sciences, Journal of Supply Chain Management, among others. Professor Peng is a senior editor at Production and Operations Management, and an associate editor at Journal of Operations Management, Decision Sciences Journal, and Journal of Supply Chain Management. He has received several editorial awards, including Journal of Operations Management best associate editor award, Production and Operations Management Society Best Reviewer Award, etc. Professor Peng’s research has been recognized by the Academy of Management Operations and Supply Chain Management division and Decision Science Institute. He has received research awards from University of Houston, and research fellowship from University of Minnesota. Professor Peng’s research on healthcare supply chain management has been funded by Association for Supply Chain Management.
?。ǔ修k：技術經濟及戰略管理系、科研與學術交流中心）
