时 间:2023年5月29日(周一)上午10:00 - 11:30
地 点:李达三楼104室(线下),腾讯会议:203 985 004/密码123456(线上),
题 目:Show Me The Money, Sooner! How Faster Payments Boost Gig Workers’ Efforts and Productivity
主持人:信息管理与商业智能系 屈锗副教授
主讲人:Siliang (Jack) Tong
摘 要:
Despite their astounding growth in recent years, online gig platforms face key challenges to increase gig workers' working commitment. In this study, we investigate how a higher payout frequency may stimulate workers' commitment to work, improve the work quality, and engender heterogeneous impacts across different workers. Drawing on the expectancy theory and using detailed data from a multinational streaming platform, we explore a quasi-natural experiment. Leveraging an exogenous shock of a financial system upgrade, we employ the propensity score matching (PSM) technique with a difference-in-differences (DID) approach to demonstrate that a shorter payout cycle increased gig workers' efforts at work. Moreover, a shorter payout cycle increased the quality of work. The positive impact was more pronounced for workers with a shorter tenure and for those who had a higher commitment to work before the treatment. Our results help gig platforms understand how to design payout schemes to motivate gig workers.
简 介:
Dr. Siliang (Jack) Tong joined the Division of Information Technology and Operation Management at NBS on 01/02/2021. He earned his Doctoral degree in Marketing from the Fox School of Business, Temple University in 2020. Siliang is an empirical modeler who is interested in the substantive areas of artificial intelligence, mobile app marketing, and sharing economy. He is very active in research as his works were awarded as the best paper and finalist in multiple occasions such as AMA conference and ISMS Marketing Science conference. His research is published in Strategic Management Journal, Marketing Science, Journal of Marketing and the Journal of the Academy of Marketing Science. Before joining the academia, he had 6-year management experience in digital marketing and web analytics, and he obtained his MBA degree from the University of Wisconsin-Madison in 2016
信息管理与商业智能系
2023-5-22
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