The Impact of the COVID-19 Pandemic on the Behavior of Online Gig Workers

Xinyu Cao (), Dennis Zhang () and Lei Huang ()
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Xinyu Cao: Leonard N. Stern School of Business, New York University, New York, New York 10012; The Chinese University of Hong Kong, Sha Tin, NT, Hong Kong
Dennis Zhang: Olin Business School, Washington University in St. Louis, St. Louis, Missouri 63130
Lei Huang: Sloan School of Management, Massachusetts Institute of Technology, Cambridge, Massachusetts 02142

Manufacturing & Service Operations Management, 2022, vol. 24, issue 5, 2611-2628

Abstract: Problem definition : Using labor supply data from a large online education platform with more than 100,000 gig workers, we investigate how online gig workers changed their behavior after the outbreak of the coronavirus disease 2019 (COVID-19) pandemic and what drove the changes. Methodology and Results : Online gig workers sharply increased their labor supply on the platform by 23% from the announcement of national emergency to the end of April (stage 1); the increase became smaller in May and June (stage 2) and disappeared in July and August (stage 3). Year to year difference-in-difference analyses show that these findings are robust after controlling for seasonality and worker heterogeneity. Results : We show that the increase in gig workers’ labor supply is not driven by a higher demand or excessive entry of new workers during the pandemic. A series of mediation analyses indicates that unemployment and nonpharmaceutical interventions (NPIs) rather than the risk of contracting COVID-19 can better explain why online gig workers increased their labor supply. The impact of unemployment is smaller than that of NPI policies, indicating that the increase in gig workers’ labor supply is more driven by temporary changes in working arrangements because of the policies rather than relatively long-term changes in employment situations. We also examine how online gig workers change their quality of work and how their earning potential on the platform relates to their changes in behavior during the pandemic. Managerial implications : Our findings provide insights for the management of online gig workers during major disruptions, like the COVID-19 pandemic.

Keywords: gig economy; platform operations; worker behavior; personnel operations; COVID-19 pandemic (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:inm:ormsom:v:24:y:2022:i:5:p:2611-2628

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