Algorithmic management and app‐work in the gig economy: A research agenda for employment relations and HRM
By James R. Duggan, Ultan Sherman, Ronan Carbery, A. McDonnell. Human Resource Management Journal, 2019
811 citations recorded by the source corpus.
Subfields: General Health Professions, Marketing, Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/60bc2e784d7204acec6a801092f2cd3e64de3dda
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In General Health Professions
- Susan J. Ashford
- Erin Reid
- J. Slageren
- B. Caza
- Steve Granger
- Nikos Koutsimpogiorgos
- Koen Frenken
- A. Herrmann
In Marketing
- J. Slageren
- B. Caza
- Steve Granger
- Will Sutherland
- Nikos Koutsimpogiorgos
- Koen Frenken
- Susan J. Ashford
- Erin Reid
In Sociology and Political Science
- Susan J. Ashford
- Erin Reid
- Steve Granger
- J. Slageren
- B. Caza
- Will Sutherland
- Nikos Koutsimpogiorgos
- Koen Frenken
Citations in the corpus
- Conceptualizing the Gig Economy and Its Regulatory Problems (2020, background): “Scholars generally differentiate the online labor platforms in the gig economy from capital platforms in the sharing economy, where individuals who rent out their own consumer goods such as cars and houses (Duggan et al., 2019; Farrell & Greig, 2016; Frenken & Schor, 2017).”
- Working on my own: Measuring the challenges of gig work (2021, background): “The advent of newer technologies, including the internet and internet-based hiring platforms has also amplified the growing “Uberization” of work across industries (Duggan et al., 2020; Fleming, 2017), lending increased urgency to the need to develop theoretically grounded empirical tools to measure”
- Algorithmic management in a work context (2021, background): “In what Huws (2016) describes as a “new paradigm of work”, algorithmic systems in the gig economy track worker performance, perform job matching, generate employee rankings, and can even resolve disputes between workers (Duggan et al., 2019; Wood et al., 2018).”