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

Author:

Schmidt Gordon B.ORCID,Philip JestineORCID,Van Dellen Stephanie A.,Islam Sayeedul

Abstract

PurposeAs 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/approachDrawing on the ASA framework, this conceptual paper explores how gig workers join, leave and could be retained by gig employers.FindingsThe 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 implicationsThe 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/valueThe 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.

Publisher

Emerald

Subject

Organizational Behavior and Human Resource Management,Management Science and Operations Research,Applied Psychology,Social Psychology

Reference42 articles.

1. Unpacking support types in online health communities: an application of attraction-selection-attrition theory,2019

2. eLancing: a review and research agenda for bridging the science–practice gap;Human Resource Management Review,2013

3. From surviving to thriving in the gig economy: a research agenda for individuals in the new world of work;Research in Organizational Behavior,2018

4. Booty, L. (2017), “A third of UK gig workers juggling multiple jobs”, available at: https://realbusiness.co.uk/third-uk-gig-workers-juggling-multiple-jobs (accessed 18 March 2022).

5. Brenoff, Anna (Jacobson) (2010), “Unemployment's down but something's up: welcome to the gig economy – DailyFinance”, available at: http://www.dailyfinance.com/2010/07/26/unemployments-down-but-somethings-upwelcome-to-the-gigecono/ (accessed 21 July 2021).

Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Embracing the gig workers performance: an empirical investigation of location-based gig workers;Global Knowledge, Memory and Communication;2024-09-06

2. Algorithmic Embeddedness and the ‘Gig’ Characteristics Model: Examining the Interplay between Technology and Work Design in Crowdwork;Journal of Management Studies;2024-08-02

3. Investigating the primary factors of work happiness in gig workers;Employee Relations: The International Journal;2024-07-09

4. Managing Gig Economy Workers Through Artificial Intelligence;Advances in Human Resources Management and Organizational Development;2024-06-28

5. Diagnosing the Well-Being of Gig Workers in Malaysia: A Viable System Model Approach;Environment-Behaviour Proceedings Journal;2024-03-16

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3