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讲座:Are Contests Effective for Online Labor Markets?

发布者:人力资源办公室    发布时间:2019-07-09

管理信息系统系学术讲座

题 目:Are Contests Effective for Online Labor Markets?

嘉 宾:张妮拉   博士生 新加坡南洋理工大学

主持人: 宋婷婷   助理教授 安泰经济与管理学院管理信息系统系

时 间: 2019年7月16日(周二)10:00-11:30

地 点: 上海交通大学   徐汇校区   新上院 S201

 

讲座摘要:

The emergence and growth of online labor markets have enhanced the efficiency in labor sourcing. Meanwhile, the short-term work relationship online leads to a potential “cut corners” behavior. To reduce the risks of receiving sub-par work from a bad hire, a new contest-based scheme is introduced in online labor markets, which allows employers observe and compare work outcomes from various workers before paying for the final selection. However, the actual effectiveness of contest-based scheme has not been proved yet in online labor market context, especially comparing with that of contract-based scheme. This study aims to examine whether tasks performed under contests are of a comparable (or superior) work quality relative to tasks governed by contractual schemes that are traditionally used in these online markets. Using data from a large online labor market that utilizes both contest-based and contract-based schemes, we empirically compare the job performance under these two schemes. Our results suggest that jobs posted under contracts tend to generate higher perceived work quality compared to those posted under contests. Furthermore, we investigate and find that the reduced flow of information and increased “copying” behaviors are two main reasons that cause the ineffectiveness of contest-based scheme in online labormarkets.

 

嘉宾简介:

Nila Zhang is a Ph.D. candidate in Information Technology and Operations Management at Nanyang Business School of Nanyang Technological University (NTU). Her research interests focus on digital innovation in reshaping new product development and business models, such as sharing economy, FinTech, and online labor market. Her studies integrate econometrical modeling and computational methods (i.e. Text Mining, Natural Language Processing, and Deep Learning). Her research has been presented at multiple premier conferences and workshops, such as ICIS, AOM, AMCIS, PACIS, SCECR, ICEC, and CSWIM, and she also has working papers under review or revision in top-tier journals including MIS Quarterly, Information Systems Research, and California Management Review. Prior to joining NTU, Nila earned her Bachelor in Ecommerce from Shanghai University of Finance and Economics and Master in Business Information System from City University of Hong Kong. She also worked as a Research Assistant in the City University of Hong Kong and a Management Trainee in the Industrial and Commercial Bank of China.

 

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