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...
| Publicado en: | Human Resource Management Vol. 62; no. 6; pp. 883 - 900 |
|---|---|
| Autores principales: | , , , |
| Formato: | algorithm research tables/charts Journal Article |
| Publicado: |
Wiley-Blackwell
Nov2023
|
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=173469706&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 173469706 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 00904848 HRM jtl: Human Resource Management issn: 00904848 maglogo: Y pubinfo: dt: Nov2023 vid: 62 iid: 6 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 173469706 163198871 173469706 173469706 10.1002/hrm.22168 173469706 ppf: 883 ppct: 17 formats: tig: 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 refInfo: holdings: @attributes: islocal: N |
|---|