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Digital labour: a systematic literature review and bibliometric analysis

Vishal Goel (Department of Undergraduate Studies in Management, Institute of Management, Nirma University, Ahmedabad, India)
Balakrishnan R. Unny (Department of Information Management, Institute of Management, Nirma University, Ahmedabad, India)
Samik Shome (Department of Economics and Strategy, Institute of Management, Nirma University, Ahmedabad, India)
Yuvika Gupta (Uttaranchal Institute of Management, Uttaranchal University, Dehradun, India and Southampton Malaysia Business School, University of Southampton, Johor Bahru, Malaysia)

International Journal of Organizational Analysis

ISSN: 1934-8835

Article publication date: 28 June 2023

Issue publication date: 3 June 2024

1040

Abstract

Purpose

This study aims to conduct a systematic literature review and bibliometric analysis on the topic of digital labour. The study also identifies the future research directions for the topic.

Design/methodology/approach

In total, 118 research papers were identified and reviewed from 11 established research databases and A*, A and B category journals from the ABDC journal list. The papers covered a timespan between 2006 and 2023. Bibliometric analysis was conducted to identify key research hotspots.

Findings

The emergent themes and associated sub-themes related to digital labour were identified from the literature. The paper found three significant themes that include digital labour platform, gig economy and productivity. This study also acts as a platform to initiate further research in this field for academicians, scholars, industry practitioners and policymakers. The future research scope in the topic is also presented.

Originality/value

The present study is unique in its nature as it approaches the topic of digital labour from all relevant perspectives.

Keywords

Citation

Goel, V., Unny, B.R., Shome, S. and Gupta, Y. (2024), "Digital labour: a systematic literature review and bibliometric analysis", International Journal of Organizational Analysis, Vol. 32 No. 5, pp. 967-1007. https://doi.org/10.1108/IJOA-12-2022-3558

Publisher

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Emerald Publishing Limited

Copyright © 2023, Emerald Publishing Limited

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