Putting Teams into the Gig Economy: A Field Experiment at a Ride-Sharing Platform

Author:

Ai Wei1ORCID,Chen Yan23ORCID,Mei Qiaozhu2ORCID,Ye Jieping4ORCID,Zhang Lingyu5ORCID

Affiliation:

1. College of Information Studies, University of Maryland, College Park, Maryland 20742;

2. School of Information, University of Michigan, Ann Arbor, Michigan 48109;

3. Department of Economics, School of Economics and Management, Tsinghua University, Beijing 100084, China;

4. Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan 48109;

5. School of Computer Science and Technology, Shandong University, Qingdao 266237, China

Abstract

The gig economy provides workers with the benefits of autonomy and flexibility but at the expense of work identity and coworker bonds. Among the many reasons why gig workers leave their platforms, one unexplored aspect is the lack of an organization identity. In this study, we develop a team formation and interteam contest field experiment at a ride-sharing platform. We assign drivers to teams either randomly or based on similarity in age, hometown location, or productivity. Having these teams compete for cash prizes, we find that (1) compared with those in the control condition, treated drivers work longer hours and earn 12% higher revenue during the contest; (2) the treatment effect persists two weeks postcontest, albeit with half of the effect size; and (3) drivers in hometown-similar teams are more likely to communicate with each other, whereas those in age-similar teams continue to work longer hours and earn higher revenue during the two weeks after the contest ends. Together, our results show that platform designers can leverage team identity and team contests to increase revenue and worker engagement in a gig economy.This paper was accepted by David Simchi-Levi, behavioral economics and decision analysis.Funding: Financial support from the platform through the Michigan Institute for Data Science is gratefully acknowledged.Supplemental Material: The e-companion are data are available at https://doi.org/10.1287/mnsc.2022.4624 .

Publisher

Institute for Operations Research and the Management Sciences (INFORMS)

Subject

Management Science and Operations Research,Strategy and Management

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Gig work and gig workers: An integrative review and agenda for future research;Journal of Organizational Behavior;2024-01-24

2. Socio‐technical issues in the platform‐mediated gig economy: A systematic literature review;Journal of the Association for Information Science and Technology;2024-01-08

3. When, and why, do teams benefit from self-selection?;Experimental Economics;2023-03-28

4. The Dual Effects of Team Contest Design on On-Demand Service Work Schedules;Service Science;2023-03-08

5. Virtual teams in a gig economy;Proceedings of the National Academy of Sciences;2022-12-16

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