Duggan, James and Sherman, Ultan and Carbery, Ronan and McDonnell, Anthony (2020) Algorithmic management and app‐work in the gig economy: A research agenda for employment relations and HRM. Human Resource Management Journal, 30 (1). pp. 114-132. ISSN 0954-5395

Preview

Download (1MB) | Preview

Abstract

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.

Item Type:	Article
Keywords:	algorithmic management; app-work; employment relations; gig economy; HRM; precarious employment;
Academic Unit:	Faculty of Social Sciences > School of Business
Item ID:	15937
Identification Number:	https://doi.org/10.1111/1748-8583.12258
Depositing User:	James Duggan
Date Deposited:	11 May 2022 09:38
Journal or Publication Title:	Human Resource Management Journal
Publisher:	Wiley
Refereed:	Yes
URI:	Publisher
Use Licence:	This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

Repository Staff Only(login required)

Item control page

Downloads

Origin of downloads