Dynamics and Direction of Gig Economy Research Development 2015–2025: Bibliometric Analysis and Its Implications for Labor Protection in the Digital Age

Authors

  • Novita Dolores Naibaho Universitas Negeri Surabaya
  • Wida Wulandari Universitas Negeri Surabaya

DOI:

https://doi.org/10.37034/jems.v7i4.235

Keywords:

Gig Economy, Bibliometric, Digital Work, Labor Protection, Algorithmic

Abstract

The gig economy has become a central element in the transformation of the global labor market, particularly with the rapid growth of digital technology and online platforms. This study aims to map the dynamics and research trends on the gig economy over the last decade (2015–2025) through a bibliometric approach based on 328 selected articles from the Scopus database. The data were obtained through a systematic screening process of peer-reviewed journal articles published in English within the specified period. Bibliometric analysis was carried out using the Bibliometrics R-package, which involved descriptive statistics, co-authorship networks, co-occurrence mapping, and thematic clustering. The results indicate a sharp increase in publications after the COVID-19 pandemic, shifting research from conceptual discussions to critical issues such as labor protection, algorithmic management, and social inequality. The thematic analysis identifies four main clusters: regulation and worker protection, algorithmic management, innovation and digital economic growth, and human values in digital labor. This study highlights research gaps in employment policy, algorithm governance, and digital inclusion, especially in developing countries, and contributes to both theoretical development and policy design in line with Sustainable Development Goals (SDG 8 and SDG 10).

References

Pilatti, G. R., Pinheiro, F. L., & Montini, A. A. (2024). Systematic literature review on gig economy: Power dynamics, worker autonomy, and social networks. Administrative Sciences, 14(10), 267. https://doi.org/10.3390/admsci14100267

Malik, A., Froese, F. J., & Sharma, S. (2021). Managing diversity in the gig economy. Journal of Business Research, 122, 494–507.

Guduru, S., Santhanam, N., & Pushparaj, N. (2023). Comprehending the research on the gig economy: A bibliometric approach. Global Knowledge, Memory and Communication. https://doi.org/10.1108/GKMC-02-2023-0056

Ramachandran, M., & Kulandai, A. (2025). Gig Workers: A Paradigm Shift in the Indian Workforce—A Bibliometric Analysis and Future Directions. Metamorphosis, 24(1), 7-20.. https://doi.org/10.1177/09726225241257731

Ishak, M. S., Mohamad, N. E. A., & Saad, N. M. (2022). Exploring gig economy’s literature through bibliometric analysis using VOSviewer. International Journal of Business and Management, 4(2).

Vallas, S., & Schor, J. B. (2020). What do platforms do? Understanding the gig economy. Annual Review of Sociology, 46, 273–294. https://doi.org/10.1146/annurev-soc-121919-054857

Meijerink, J., & Keegan, A. (2019). Conceptualizing human resource management in the gig economy: Toward a platform ecosystem perspective. Journal of Managerial Psychology, 34(4), 214–232. https://doi.org/10.1108/JMP-07-2018-0277

Kozar, Ł., & Bolimowski, S. (2024). Gig economy and sustainable development: Bibliometric analysis and identification of future research directions. Scientific Papers of Silesian University of Technology. Organization and Management Series, 194, 201–216. https://doi.org/10.29119/1641-3466.2024.194.11

Aloisi. (2016). Commoditized workers: Case study research on labour law issues arising from a set of ‘on‐demand/gig economy’ platforms. Comparative Labor Law and Policy Journal, 37(3), 653–690.

Veen, A., Barratt, T., & Goods, C. (2020). Platform‐capital’s ‘app‐etite’ for control: A labour process analysis of food‐delivery work in Australia. Work, Employment and Society, 34(3), 388–406. https://doi.org/10.1177/0950017019836911

De Groen, W. P., & Maselli, I. (2016). The impact of the collaborative economy on the labour market. CEPS Special Report, 138.

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

Graham, M., Hjorth, I., & Lehdonvirta, V. (2017). Digital labour and development: Impacts of global platforms. Journal of Development Studies, 53(3), 1–18. https://doi.org/10.1080/00220388.2016.1277571

Bucher, E., Fieseler, C., & Hoffmann, C. P. (2021). Algorithmic management and autonomy: How algorithms create and constrain work–life balance. Journal of Business Ethics, 160(1), 119–136. https://doi.org/10.1007/s10551-018-3783-4

Balaram, B., Warden, J., & Wallace-Stephens, F. (2017). Good gigs: A fairer future for the UK’s gig economy. Royal Society of Arts.

Johnston, H., & Kazlauskas, C. (2018). Organizing on-demand: Representation, voice, and collective bargaining in the gig economy. International Labour Organization.

Collins, B., & Kazi, J. (2021). Algorithms at work: Impacts on employment relations. Industrial Relations Journal, 52(5), 417–431. https://doi.org/10.1111/irj.12318

Panteli, N., Rapti, A., & Scholarios, D. (2020). Flexible working and digital platforms: Implications for skill development and inequality. Human Resource Development International, 23(4), 403–421. https://doi.org/10.1080/13678868.2020.1757990

Wood, A. J., Lehdonvirta, V., & Graham, M. (2018). Workers of the internet unite? Online freelancing, advocacy, and the gig economy. Industrial Relations Journal, 49(56), 420–437. https://doi.org/10.1111/irj.12206

Zuboff, S. (2019). The age of surveillance capitalism. PublicAffairs.

Downloads

Published

2025-09-13

How to Cite

Naibaho, N. D., & Wulandari, W. (2025). Dynamics and Direction of Gig Economy Research Development 2015–2025: Bibliometric Analysis and Its Implications for Labor Protection in the Digital Age. Journal of Economics and Management Scienties, 7(4), 836–843. https://doi.org/10.37034/jems.v7i4.235

Issue

Section

Articles