Algorithmic management and app-work in the gig economy: A research agenda for employment relations and HRM

被引:345
|
作者
Duggan, James [1 ]
Sherman, Ultan [1 ]
Carbery, Ronan [1 ]
McDonnell, Anthony [1 ]
机构
[1] Univ Coll Cork, Cork Univ Business Sch, Cork, Ireland
关键词
algorithmic management; app-work; employment relations; gig economy; HRM; precarious employment; CONTINGENT WORK; LABOR; AUTONOMY; RISE; INFORMATION; EMPLOYEES;
D O I
10.1111/1748-8583.12258
中图分类号
F24 [劳动经济];
学科分类号
020106 ; 020207 ; 1202 ; 120202 ;
摘要
Current understanding of what constitutes work in the growing gig economy is heavily conflated, ranging from conceptualisations of independent contracting to other forms of contingent labour. This article calls for a move away from problematic aggregations by proposing a classification of gig work into three variants, all based strongly upon key technological features: app-work, crowdwork, and capital platform work. Focusing specifically on the app-work variant, this article's more delineated focus on the textured dimensions of this work proposes new lines of enquiry into employment relationships and human resource management. Examining the crucial role of algorithmic management, we critically discuss the impact of this novel mediation tool used by gig organisations for the nature of employment relations within app-work, work assignment processes, and performance management. In so doing, we propose a series of research questions that can serve as a guide for future research in this increasingly important field.
引用
收藏
页码:114 / 132
页数:19
相关论文
共 50 条
  • [21] Research Handbook on the Future of Work and Employment Relations
    Haiven, Judy
    RELATIONS INDUSTRIELLES-INDUSTRIAL RELATIONS, 2013, 68 (03): : 531 - 532
  • [22] Perceived algorithmic evaluation and app-workers' service performance: The roles of flow experience and challenges of gig work
    Zhang, Zhipeng
    Liu, Guangjian
    Pei, Jialiang
    Zhang, Shuxia
    Liu, Jun
    JOURNAL OF ORGANIZATIONAL BEHAVIOR, 2024,
  • [23] Controlled by the algorithm, coached by the crowd - how HRM activities take shape on digital work platforms in the gig economy
    Waldkirch, Matthias
    Bucher, Eliane
    Schou, Peter Kalum
    Gruenwald, Eduard
    INTERNATIONAL JOURNAL OF HUMAN RESOURCE MANAGEMENT, 2021, 32 (12): : 2643 - 2682
  • [24] WITHIN AND BEYOND THE TIME ECONOMY OF EMPLOYMENT RELATIONS - CONCEPTUAL ISSUES PERTINENT TO RESEARCH ON TIME AND WORK
    ADAM, B
    SOCIAL SCIENCE INFORMATION SUR LES SCIENCES SOCIALES, 1993, 32 (02): : 163 - 184
  • [25] GOVERNING WORK AND EMPLOYMENT RELATIONS IN AN INTERNATIONALIZED ECONOMY: THE INSTITUTIONAL CHALLENGE
    Marginson, Paul
    ILR REVIEW, 2016, 69 (05) : 1033 - 1055
  • [26] Algorithmic Management Reimagined For Workers and By Workers: Centering Worker Well-Being in Gig Work
    Zhang, Angie
    Boltz, Alexander
    Wang, Chun-Wei
    Lee, Min Kyung
    PROCEEDINGS OF THE 2022 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS (CHI' 22), 2022,
  • [27] The double-edged sword effect of algorithmic transparency: An empirical study of gig workers’ work disengagement under algorithmic management
    Li, Yuni
    Zhao, Ling
    Cao, Cuicui
    Yang, Dongshan
    Information and Management, 2025, 62 (02):
  • [28] Sharing economy research: a research agenda for knowledge management scholars
    Chua, Alton Y. K.
    Liew, Hattie
    VINE JOURNAL OF INFORMATION AND KNOWLEDGE MANAGEMENT SYSTEMS, 2022, 55 (01) : 168 - 186
  • [29] Gig Economy: state of the art from the perspective of labor relations and a call for future research
    Teixeira, Rodilon
    Campos, Waleska Yone Yamakawa Zavatti
    de Souza, Filipe Augusto Silveira
    Fuzyama, Christian Kazuo
    REVISTA DE GESTAO E SECRETARIADO-GESEC, 2022, 13 (04): : 2243 - 2270
  • [30] Ludification as a Lens for Algorithmic Management: A Case Study of Gig-Workers' Experiences of Ambiguity in Instacart Work
    Ramesh, Divya
    Henning, Caitlin
    Escher, Nel
    Zhu, Haiyi
    Lee, Min Kyung
    Banovic, Nikola
    DESIGNING INTERACTIVE SYSTEMS CONFERENCE, DIS 2023, 2023, : 638 - 651