Algorithmic HRM control in the gig economy: The app‐worker perspective.

Work in the gig economy is championed by platform organizations as affording individuals the flexibility to decide when, where, and how much they wish to work. The reality is more complex. In app‐based gig work, we propose the concept of "algorithmic HRM control," which acts as an omnipresent and di...

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Publicado en:Human Resource Management Vol. 62; no. 6; pp. 883 - 900
Autores principales: Duggan, James, Carbery, Ronan, McDonnell, Anthony, Sherman, Ultan
Formato: algorithm research tables/charts Journal Article
Publicado: Wiley-Blackwell Nov2023
Acceso en línea:Ver este registro en EBSCOhost
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      jtl: Human Resource Management
      issn: 00904848
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      dt: Nov2023
      vid: 62
      iid: 6
      pid: 480
      pub: Wiley-Blackwell
      place: Malden, Massachusetts
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        10.1002/hrm.22168
        173469706
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        atl: Algorithmic HRM control in the gig economy: The app‐worker perspective.
      aug:
        au:
          Duggan, James
          Carbery, Ronan
          McDonnell, Anthony
          Sherman, Ultan
        affil: Cork University Business School, University College Cork, Cork, Ireland
      sug:
        subj:
          Algorithms
          Organizational Culture Economics
          Task Performance and Analysis
          Employee Performance Appraisal
          Organizational Objectives Economics
          Blue Collar Workers
          Employment
          Mobile Applications
          Human
          Male
          Female
          Qualitative Studies
          Funding Source
          Autonomy
          Interpersonal Relations
          Job Performance Evaluation
          Semi-Structured Interview
          Open-Ended Questionnaires
          Descriptive Statistics
          Comparative Studies
          Male
          Female
      ab: Work in the gig economy is championed by platform organizations as affording individuals the flexibility to decide when, where, and how much they wish to work. The reality is more complex. In app‐based gig work, we propose the concept of "algorithmic HRM control," which acts as an omnipresent and distinctive control system that differs from traditional forms of control in two significant ways: first, the reliance upon, and pervasiveness of, algorithmic technologies in its enactment; and second, the substantial direct and indirect influence of non‐organizational parties in controlling workers. Through a qualitative research design, this article delineates the scope of algorithmic HRM control in allocating and coordinating tasks, managing performance and rewards, and aligning the actions of workers with organizational objectives. Our analysis also unpacks the rigidity and complexities of the control system, as experienced by workers, and the influential role of non‐organizational parties in exerting unique, distinct forms of control. In so doing, we build upon emerging research on the duality of algorithmic HRM by revealing the inherent flaws or challenges from the perspective of the most central party—the gig worker. While output‐oriented control is pervasive, process and normative control elements are also found to exist in some scenarios, creating significant concerns for workers.
      pubtype: Academic Journal
      doctype:
        algorithm
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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