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

Алгоритмическое управление и работа через приложения в гиг-экономике: программа исследований в области трудовых отношений и управления человеческими ресурсами
Ronan Carbery, Anthony McDonnell, James Duggan, Ultan Sherman
2019-09-12

algorithmic managementapp-workemployment relationsgig economyhuman resource management
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.
1
Focusing on app-work, the paper identifies algorithmic management as a central technological mechanism shaping employment relations, work allocation, and performance management.
2
Gig work is classified into three technology-based variants: app-work, crowdwork, and capital platform work.
3
The article argues that aggregating these gig-work forms obscures important differences in their employment relationships and organizational processes.
4
The paper develops research directions and questions for examining app-work’s distinctive employment-relations and HRM dynamics.

app-work in the gig economy

the role and impacts of algorithmic management on employment relations, work assignment, and performance management in app-work

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2019-09-12
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Authors
Ronan Carbery
Anthony McDonnell
James Duggan
Ultan Sherman
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