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Gig worker organizing: toward an adapted Attraction-Selection-Attrition framework

*Corresponding author for this work
  • University of Louisiana at Monroe
    ,
  • University of New Haven
    ,
  • Purdue University Fort Wayne
    ,
  • Farmingdale State College
Research Output:
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Article
Peer-review

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Abstract

Purpose: As conventional practices of working continue to be modified in the gig economy, more theoretical work examining the experiences of gig workers is needed. Relying on person-based fit and levels of analysis literature, this paper proposes an adaptation to the traditional Attraction-Selection-Attrition (ASA) framework to the gig economy. Design/methodology/approach: Drawing on the ASA framework, this conceptual paper explores how gig workers join, leave and could be retained by gig employers. Findings: The authors recognize an intermediary “organizing” phase within the ASA framework for gig workers. Using examples of appwork and crowdwork, the authors show that workers tend to self-organize through third-party websites to help gig work become economically sustainable, avoid being exploited and enhance gig workers' sense of community and identity. Practical implications: The practical implications of this research lie in gig employers understanding how workers experience gig employment and in helping employers be successful in attracting, selecting and retaining quality workers and thereby lowering permanent attrition. Originality/value: The authors propose a novel adaptation to the conventional ASA framework to include organizing as a phase in gig worker employment. This research defines gig attraction and attrition at the individual-level, selection at the individual- and task-levels based in person-job (PJ)-fit and the various aspects of gig organizing as encompassing fit with one's job, organization, and environmental (i.e., PJ-, PO-, PE-fit) at the individual-, task-, and network-levels.

Bibliographic Information

Output type

Research Output:
Contribution to journal
Article
Peer-review

Original language

English

Pages from-to (Number of pages)

Pages 47-59 (13 pages)

Journal (Volume, Issue Number)

Journal of Managerial Psychology (Volume 38, Issue 1)

Publication milestones

  • Published - 26/01/2023

Publication status

Published - 26/01/2023

ISSN

0268-3946

Publication IDs

  • Scopus: 85142272296