Payment Schemes in Online Marketplaces: How Do Freelancers Respond to Monetary Incentives?

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Abstract/Contents

Abstract
The rise of online labor marketplaces has allowed employers to hire freelancers around the world to perform various tasks. Though effective incentive schemes are important in any labor market, they are particularly valuable in these marketplaces, as employers are unable to directly monitor their freelancers’ behavior to ensure that the freelancers are spending their time productively. This presents a challenge for all employers, but especially those who pay by the hour, as they do not want to pay freelancers for time spent working on other tasks or not working at all. I conduct an experiment on Upwork, the world’s largest online freelancing platform, to determine how freelancers respond to a simple monetary incentive that gives them the opportunity to earn a bonus for outperforming a benchmark. I examine how this incentive affects the quality and quantity of work, as well as how responses to the incentive differ based on a freelancer’s measurable characteristics. I find that for the group of freelancers as a whole, incentives do not have a significant effect on performance. However, it seems that this is due to the fact that different sub-groups of freelancers have opposite reactions to the incentive. Freelancers with low reputation scores respond by increasing the quantity of output and improving the accuracy of their work, while freelancers with high reputation scores respond by decreasing the quantity of output, with accuracy that does not significantly increase.

Description

Type of resource text
Date created March 2016

Creators/Contributors

Author Moore, Justine
Primary advisor Shoven, John
Primary advisor Shelef, Orie
Degree granting institution Stanford University, Department of Economics

Subjects

Subject Stanford Department of Economics
Subject Upwork
Subject Online Freelancing
Subject Incentives for Employees
Subject Hourly Wages
Subject Performance-Based Bonuses
Subject Reputation Scores
Subject Job Success Scores
Genre Thesis

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User agrees that, where applicable, content will not be used to identify or to otherwise infringe the privacy or confidentiality rights of individuals. Content distributed via the Stanford Digital Repository may be subject to additional license and use restrictions applied by the depositor.

Preferred citation

Preferred Citation
Moore, Justine. (2016). Payment Schemes in Online Marketplaces: How Do Freelancers Respond to Monetary Incentives?. Stanford Digital Repository. Available at: https://purl.stanford.edu/fd441hd6769

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Stanford University, Department of Economics, Honors Theses

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