The Online Platform Economy: Has Growth Peaked?

Farrell, Diana; Greig, Fiona

doi:10.2139/ssrn.2911194

Cited by 89 publications

(86 citation statements)

References 4 publications

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“…The "social pressure" scale largely assumes workers who interact with other employees in a traditional workplace (e.g., "How many, if any, of the people you know at work do you think will vote for the union?"). Because ridehail drivers usually leave the industry after 6 months (Farrell and Greig 2016), instrumentality is the most useful predictor for these workers. Instrumentality, however, asks general questions about workers' views on how unions change the workplace (e.g., unions make sure workers are fairly treated or receive better pay) that could reasonably apply to gig work.…”

Section: Quantitative Research Strategymentioning

confidence: 99%

The Role of Digital Communities in Organizing Gig Workers

Maffie¹

2020

Industrial Relations

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Using survey data from 450 ridehail drivers, this article examines how social networking sites (SNS) influence workers' views on union instrumentality and unionization. This article finds that more frequent interaction with other workers in online communities is associated with improved views of union instrumentality and interest in joining a ridehail drivers' association. These findings link together the fields of information sciences and industrial relations and suggest a new institutional actor in modern industrial systems, the online worker network.

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Section: Quantitative Research Strategymentioning

confidence: 99%

The Role of Digital Communities in Organizing Gig Workers

Maffie¹

2020

Industrial Relations

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“…While still only a proportion of the overall freelance market, online platforms that enable temporary contract work are growing tremendously quickly (Farrell Greig 2016). Scholars recognize this trend as replacing traditional work relationships with a market-based, ondemand workforce (Cappelli 1999), and industry analysts and consultants have all identified them as being a critical sector of the job market (Gartside et al 2013), leading the popular press to suggest we are in "the age of the virtual worker".…”

Section: A Global Market For Online Freelancingmentioning

confidence: 99%

Learning to Hire? Hiring as a Dynamic Experiential Learning Process in an Online Market for Contract Labor

Leung¹

2018

Management Science

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We know a job applicant’s social category affects an employer’s likelihood of hiring the applicant, but we do not know whether, or how, employers update their beliefs regarding these social categories. I portray hiring as a cognitive decision and examine how prior negative and positive hiring experiences of employees from particular countries affect an employer’s subsequent likelihood of hiring applicants from those countries. I hypothesize that employer reactions will reflect loss aversion—that employers will react more strongly to negative hiring experiences than positive ones. Furthermore, I expect that the similarity of the prior job will moderate this effect. Analyses of 3.9 million applications, from freelancers worldwide, for over 290,000 jobs on an online labor market demonstrate that employers are 15% less likely (versus 8% more likely) to hire freelancers from a country following a prior negative (versus positive) experience. Prior negative experiences with similar jobs (versus dissimilar jobs) lead employers to be 82% less likely (versus 8% less likely) to hire from that country. Conversely, positive experiences with similar jobs (versus dissimilar jobs) lead employers to be 25% more likely (versus 3% more likely) to subsequently hire from that country. The consequences for switching countries, following negative experiences, are analyzed and wage differences to compensate for employer reactions, are calculated. Contributions to the hiring discrimination, impression formation, and gig-economy literatures are discussed. This paper was accepted by Olav Sorenson, organizations.

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“…TaskRabbit is estimated at only 0.4% to 0.5% (Katz and Kruger, 2016;Farrell and Greig, 2016;Harris and Krueger, 2015). A UK online survey finds a share of 11% for actual crowd workers; yet, the representativeness of such small surveys remains an issue.…”

Section: The Role Of the Platform Economymentioning

confidence: 99%

How Big is the Gig? Assessing the Preliminary Evidence on the Effects of Digitalization on the Labor Market

Eichhörst¹,

Hinte²,

Rinne³

et al. 2017

mrev

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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. www.econstor.eu Terms of use: Documents in P O L I C Y P A P E R S E R I E S ABSTRACT How Big is the Gig? Assessing the Preliminary Evidence on the Effects of Digitalization on the Labor MarketThis paper assesses the importance of digitalization in Germany and other developed countries with a particular attention to the potential or actual impact it may have on the labor market. Referring to available empirical evidence, we document the already developing transformation of occupations and forms of employment and the role of the platform economy, including the phenomenon of solo self-employment. We then derive current and future challenges for social protection and suggest some ideas to update social insurance in the face of these new challenges.JEL Classification: J08, J24, O33, O38

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The Online Platform Economy: Has Growth Peaked?

Cited by 89 publications

References 4 publications

The Role of Digital Communities in Organizing Gig Workers

The Role of Digital Communities in Organizing Gig Workers

Learning to Hire? Hiring as a Dynamic Experiential Learning Process in an Online Market for Contract Labor

How Big is the Gig? Assessing the Preliminary Evidence on the Effects of Digitalization on the Labor Market

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