Justice expectations in crowd and platform-mediated work
Open accessPublished version of a preprint
Abstract
Crowdwork conducted via digital platforms is a young form of work, but a growing part of the gig economy. Typical for crowdwork is low pay, volatile income streams and no social security benefits. Also, crowdworkers have few possibilities for social comparison or negotiation because they work outside of company organisations. This article examines the question of whether these conditions mean that crowdworkers’ expectations about justice in crowdwork arrangements differ in comparison to their expectations regarding justice in conventional employment relationships. This question is addressed empirically on the basis of 36 qualitative interviews and a survey of 230 crowdworkers. The justice expectations of crowdworkers involved in different types of crowdworking platforms in German-speaking countries were examined. In our sample, crowd work typically serves to supplement – not replace – conventional employment. This explorative research shows that crowdworkers use similar standards of justice regarding work performance in their evaluations of work mediated via crowdwork platforms and conventional employment. It shows that crowdworkers perceive injustices in four specific areas: planning insecurity, lack of transparency in performance evaluation, lack of clarity in task briefings and low remuneration. These areas correspond to the theoretical dimensions of distributive and procedural justice on Colquitt’s (2001) organisational justice scale. These findings have implications for future efforts to regulate crowdwork.
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Compared with human agents, algorithmic agents resulted in perceptions of lower employer commitment when delivering the organization's socio-emotional support for employees' growth and well-being.
“Compared with human agents, algorithmic agents (i.e., recruiting software) resulted in perceptions of lower employer commitment when delivering the organization's socio-emotional support for employees' growth and well-being.”
From Gig work and gig workers: An integrative review and agenda for future research (2024) · cites this paper as Pfeiffer and Kawalec (2020)
Algorithmic management had an impact on workers' psychological contract.
“Pfeiffer and Kawalec (2020) and Lee (2022)found that algorithmic management had an impact on workers' psychological contract.”
From Gig work and gig workers: An integrative review and agenda for future research (2024) · cites this paper as Pfeiffer and Kawalec (2020)
Cites
Experteninterviews und qualitative Inhaltsanalyse
Gläser, J., & Laudel, G. (2010) · doi:10.1007/978-3-531-91538-8 · Cited by 1,586 · cited 1× · see citing works
“Additionally, seven expert interviews (Gläser and Laudel, 2010) were conducted with academic and political experts and platform operators.”
BackgroundPetriglieri, G., Ashford, S. J., & Wrzesniewski, A. (2019) · Administrative Science Quarterly · doi:10.1177/0001839218759646 · Cited by 744 · see citing works
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Gig work and gig workers: An integrative review and agenda for future research
Wu, D., & Huang, J. L. (2024) · Journal of Organizational Behavior · doi:10.1002/job.2775 · Cited by 168 · see citing works
- Authors
- Pfeiffer, S., & Kawalec, S.
- Affiliations
- Friedrich-Alexander-Universität Erlangen-Nürnberg (DE)
- Institut für Arbeitsmarkt und Berufsforschung (DE)
- Corresponding author
- Pfeiffer, Sabine
- ORCID
- Pfeiffer, Sabine
- Venue
- The Economic and Labour Relations Review
- Publisher
- Cambridge University Press (CUP)
- Published
- 2020-12
- Volume
- 31
- Issue
- 4
- Pages
- 483-501
- ISSN
- 1035-3046 (ISSN-L)
- 1838-2673
- OpenAlex
- W3081677874
- Cited by
- 41
- References
- 2
- Citations by year
- 2026: 7 · 2025: 8 · 2024: 12 · 2023: 7 · 2022: 5 · 2021: 2
- FWCI
- 4.68
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- The Economic and Labour Relations Review (publishedVersion, cc-by-nc)
- OPUS Repository (Kooperativer Bibliotheksverbund Berlin-Brandenburg) (submittedVersion, cc-by-nc)
- RePEc: Research Papers in Economics (submittedVersion)
- Figshare (submittedVersion, cc-by)
- Funders
- Deutsche Forschungsgemeinschaft (Priority Programme “The Digitalisation of Workin)
- FAU Emerging Fields Initiative (“Discourses and Practices of a ‘Digital Sovereignt)
- Topics
- Social Sciences › Sociology and Political Science › Digital Economy and Work Transformation
- Social Sciences › Business, Management and Accounting › Industrial relations › Legal and Labor Studies
- Physical Sciences › Computer Science › Computer Science Applications › Mobile Crowdsensing and Crowdsourcing
- Keywords
- crowdwork, gig economy, distributive justice, procedural justice, online labour platforms, work performance evaluation, transparency, low wages, gig economy regulation
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