The Rise of The Gig Economy and Its Impact on HRM Research: a Dynamic Bibliometric Analysis

Authors

  • Nayoan Baskautshar Muhammadiyah Bengkulu University
  • Mimi Kurnia Nengsih Muhammadiyah Bengkulu University

DOI:

https://doi.org/10.37034/jems.v8i2.332

Keywords:

Gig Economy, Human Resource Management, Algorithmic Management, Bibliometric Analysis, Research Collaboration

Abstract

This study conducts a dynamic bibliometric analysis of 2,695 articles to map the evolution, structure, and research trends at the intersection of the gig economy and human resource management (HRM) from 2010 to 2024. Using VOSviewer to analyse Scopus-indexed literature, the research identifies the geographic dominance of the United States and the United Kingdom in publication output. At the same time, countries such as the Netherlands and Singapore demonstrate higher impact per article. A keyword co-occurrence analysis reveals the consolidation of the research field around three major, yet poorly integrated, thematic clusters: regulation, worker psychological Well-being, and technology governance. Bibliographic coupling analysis of authors and institutional collaboration confirms fragmentation within the intellectual community, with collaboration patterns centred on universities in the Global North. These findings underscore the need for a future research agenda that is more geographically inclusive, integrative across paradigms, and focused on connecting technology analysis with policy implications and social protection for gig workers. The contribution of this study is an evidence-based intellectual map that can guide the Development of more adaptive HRM theory and practice in the gig economy era.

References

Spreitzer, G. M., Cameron, L., & Garrett, L. (2017). Alternative Work Arrangements: Two Images of the New World of Work. Organizational Psychology and Organizational Behavior, 4(1), 473–499. https://doi.org/10.1146/annurev-orgpsych-032516-113332

Cappelli, P., & Keller, J. R. (2013). Classifying work in the new economy. Academy of Management Review, 38(4), 575–596. https://doi.org/10.5465/amr.2011.0302

Župič, I., & Čater, T. (2015). Bibliometric Methods in Management and Organization. Organizational Research Methods, 18(3), 429–472. https://doi.org/10.1177/1094428114562629

Donthu, N., Kumar, S., Mukherjee, D., Pandey, N., & Lim, W. M. (2021). How to conduct a bibliometric analysis: An overview and guidelines. Journal of Business Research, 133, 285–296. https://doi.org/10.1016/j.jbusres.2021.04.070

van Eck, N. J., & Waltman, L. (2010). Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics, 84(2), 523–538. https://doi.org/10.1007/s11192-009-0146-3

De Stefano, V. (2015). The rise of the just-in-time workforce: On-demand work, crowdwork, and labor protection in the gig-economy. Comp. Lab. L. & Pol’y J, 37, 471. https://dx.doi.org/10.2139/ssrn.2682602

Katz, L. F., & Krueger, A. B. (2019). The Rise and Nature of Alternative Work Arrangements in the United States, 1995–2015. ILR Review, 72(2), 382–416. https://doi.org/10.1177/0019793918820008

Duggan, J., Sherman, U., Carbery, R., & McDonnell, A. (2020). Algorithmic management and app-work in the gig economy: A research agenda for employment relations and HRM. In Human Resource Management Journal (Vol. 30, Issue 1, pp. 114–132). Blackwell Publishing Ltd. https://doi.org/10.1111/1748-8583.12258

Ashford, S. J., Caza, B. B., & Reid, E. M. (2018). From surviving to thriving in the gig economy: A research agenda for individuals in the new world of work. In Research in Organizational Behavior (Vol. 38, pp. 23–41). JAI Press. https://doi.org/10.1016/j.riob.2018.11.001

Vallas, S., & Schor, J. B. (2020). What do platforms do? Understanding the gig economy? Annual Review of Sociology, 46(1), 273–294.

Kuhn, K. M., & Maleki, A. (2017). Micro-entrepreneurs, Dependent Contractors, and Instaserfs: Understanding Online Labor Platform Workforces. Academy of Management Perspectives, 31(3), 183–200. https://doi.org/10.5465/amp.2015.0111

Wood, A. J., Graham, M., Lehdonvirta, V., & Hjorth, I. (2019). Good Gig, Bad Gig: Autonomy and Algorithmic Control in the Global Gig Economy. Work, Employment and Society, 33(1), 56–75. https://doi.org/10.1177/0950017018785616

Kellogg, K. C., Valentine, M. A., & Christin, A. (2020). Algorithms at work: The new contested terrain of control. Academy of Management Annals, 14(1), 366–410. https://doi.org/10.5465/annals.2018.0174

Baas, J., Schotten, M., Plume, A. M., Cote, G., & Karimi, R. (2020). Scopus as a curated, high-quality bibliometric data source for academic research in quantitative science studies. The MIT Press Journals, 1(1), 377–386. https://doi.org/10.1162/qss_a_00019

Mongeon, P., & Paul-Hus, A. (2016). The journal coverage of Web of Science and Scopus: a comparative analysis. Scientometrics, 106(1), 213–228. https://doi.org/10.1007/s11192-015-1765-5

Howcroft, D., & Bergvall-Kåreborn, B. (2019). A Typology of Crowdwork Platforms. Work, Employment and Society, 33(1), 21–38. https://doi.org/10.1177/0950017018760136

Ramos-Rodríguez, A.R., & Ruíz-Navarro, J. (2004). Changes in the intellectual structure of strategic management research: a bibliometric study of the Strategic Management Journal, 1980–2000. Strategic Management Journal, 25(10), 981–1004. https://doi.org/10.1002/smj.397

Sutherland, W., & Jarrahi, M. H. (2018). The sharing economy and digital platforms: A review and research agenda. International Journal of Information Management, 43, 328–341. https://doi.org/10.1016/j.ijinfomgt.2018.07.004

Stewart, A., & Stanford, J. (2017). Regulating work in the gig economy: What are the options?. The Economic and Labour Relations Review, 28(3), 420–437. https://doi.org/10.1177/1035304617722461

Chavarro, D., Tang, P., & Ràfols, I. (2017). Why researchers publish in non-mainstream journals: Training, knowledge bridging, and gap filling. Research Policy, 46(9), 1666–1680. https://doi.org/10.1016/j.respol.2017.08.002

Graham, M., & Anwar, M. A. (2019). The global gig economy: Towards a planetary labour market?. First Monday, 24(4). https://doi.org/10.5210/fm.v24i4.9913

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Published

2026-01-17

How to Cite

Baskautshar, N., & Nengsih, M. K. (2026). The Rise of The Gig Economy and Its Impact on HRM Research: a Dynamic Bibliometric Analysis. Journal of Economics and Management Scienties, 8(2), 580–590. https://doi.org/10.37034/jems.v8i2.332