嘉　宾：王静 副教授  香港科技大学

主持人：房思含  助理教授  3200威尼斯vip

时　间：2024年9月26日（周四）10:00-11:30

地　点：3200威尼斯vip徐汇校区安泰楼A303

内容简介:

We examine how users respond to receiving symbolic prizes in online innovation contests. Our setting is a machine learning competition platform that grants symbolic medals to recognize outstanding participants. Employing a regression discontinuity design, we find that gold medal winners tend to participate less in subsequent contests, yet they contribute more to prosocial activities, as evidenced by the greater number and length of posts, as well as more substantial and frequent code contributions. In contrast, bronze and silver medals do not seem to exhibit a significant influence on recipients’ subsequent behaviors. Our analysis reveals that the divergent effects of gold medals—diminished contest participation but enhanced community engagement—stem from winners reallocating their efforts from competing in contests to contributing to the community. We further establish that this effort reallocation is driven by a shift in winners’ goals following their win. Specifically, winners with previous competition medals are more likely to favor contributing content over competing again, whereas winners with more prior contribution medals are less inclined to increase their contributions. Moreover, team winners are less prone to shifting their efforts compared to solo winners. This study uncovers a novel effect of goal shifting prompted by symbolic contest prizes and highlights its significance for incentive design in innovation contests.

演讲人简介：

Jing Wang is an associate professor at the School of Business and Management, Hong Kong University of Science and Technology. She received her Ph.D. in information systems from the Stern School of Business, New York University. Her main research interests include crowdsourcing, online labor markets, crowdfunding, user-generated content, sharing economy, and data mining. Her work has been published in prestigious journals, including Proceedings of the National Academy of Science, Management Science, Information Systems Research, Journal of Management Information Systems, and Data Mining and Knowledge Discovery. Currently, she serves as an associate editor for MIS Quarterly, Service Science, and INFORMS journal on Data Science. She received the ISS Management Science Best Paper Award in 2020 and the MISQ Outstanding Associate Editor award for 2021.

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