Gig Economy Management: Strategies for Managing a Flexible Workforce in the Digital Ecosystem

Authors

  • Maulid Sakaria Universitas Alkhairaat

DOI:

https://doi.org/10.61942/oikonomia.v3i3.600

Keywords:

gig economy, algorithmic management, digital platform, flexible workforce, human resource management, workforce dynamics

Abstract

The rapid expansion of the gig economy has fundamentally transformed the nature of work, challenging traditional paradigms of human resource management (HRM) and organizational control. This article examines management strategies for flexible workforces operating within digital ecosystems, with particular emphasis on algorithmic management, digital platform dynamics, and their implications for worker autonomy, engagement, and performance. Drawing on a systematic review of peer-reviewed literature published between 2021 and 2025, this study synthesizes evidence from multiple disciplines including HRM, organizational behavior, information systems, and labor economics. The analysis identifies eight major thematic clusters, including algorithmic management, digital HRM, worker autonomy, recruitment processes, job crafting, regulation, socio-technical dynamics, and sector-specific findings. Results reveal that algorithmic control pervades gig work, creating tension between operational efficiency and worker well-being. Platform-mediated HRM replaces conventional managerial functions with data-driven mechanisms, raising critical questions about fairness, transparency, and worker representation. This article concludes with strategic recommendations for organizations, policymakers, and researchers seeking to navigate the complex landscape of gig workforce management in the digital age.

References

Alauddin, F. D. A., Aman, A., Ghazali, M. F., & Daud, S. (2024). The influence of digital platforms on gig workers: A systematic literature review. Heliyon, 11. https://doi.org/10.1016/j.heliyon.2024.e41491

Alfarizi, M., Noer, L. R., & Noer, B. A. (2025). Technological support, hybrid work, and national employment policies: Catalysts for worker productivity and SDG 8 achievement in Indonesia's gig economy. Jurnal Ketenagakerjaan. https://doi.org/10.47198/jnaker.v20i1.440

Altenried, M. (2021). Mobile workers, contingent labour: Migration, the gig economy and the multiplication of labour. Environment and Planning A: Economy and Space, 56, 1113–1128. https://doi.org/10.1177/0308518x211054846

Bateyo, A. (2025). The gig economy: Implications for workforce management. Research Invention Journal of Current Issues in Arts and Management. https://doi.org/10.59298/rijciam/2025/413942

Benlian, A., Wiener, M., Cram, W., Krasnova, H., Maedche, A., Möhlmann, M., Recker, J., & Remus, U. (2022). Algorithmic management. Business & Information Systems Engineering, 64, 825–839. https://doi.org/10.1007/s12599-022-00764-w

Chen, J., & Chen, M. (2025). Humanized algorithms matter! From enabling social exchange factors to building affective trust mechanism for facilitating gig workers' task performance. Personnel Review. https://doi.org/10.1108/pr-07-2024-0688

Dedema, M., & Rosenbaum, H. (2024). Socio-technical issues in the platform-mediated gig economy: A systematic literature review. Journal of the Association for Information Science and Technology, 75, 344–374. https://doi.org/10.1002/asi.24868

Duggan, J., Carbery, R., McDonnell, A., & Sherman, U. (2023). Algorithmic HRM control in the gig economy: The app-worker perspective. Human Resource Management. https://doi.org/10.1002/hrm.22168

Ferrari, F., & Graham, M. (2021). Fissures in algorithmic power: Platforms, code, and contestation. Cultural Studies, 35, 814–832. https://doi.org/10.1080/09502386.2021.1895250

Heiland, H. (2021). Neither timeless, nor placeless: Control of food delivery gig work via place-based working time regimes. Human Relations, 75, 1824–1848. https://doi.org/10.1177/00187267211025283

Jayakarthika, K., Aravind, J., Ilakkiya, N., Karthiga, G., Farha, A., & Varun, M. (2024). Unlocking the potential: HRM integration of AI in the gig economy for enhanced ERP performance. International Research Journal on Advanced Engineering Hub. https://doi.org/10.47392/irjaeh.2024.0232

Kadolkar, I., Kepes, S., & Subramony, M. (2024). Algorithmic management in the gig economy: A systematic review and research integration. Journal of Organizational Behavior. https://doi.org/10.1002/job.2831

Keegan, A., & Meijerink, J. (2025). Algorithmic management in organizations? From edge case to center stage. Annual Review of Organizational Psychology and Organizational Behavior. https://doi.org/10.1146/annurev-orgpsych-110622-070928

Khalid, J., & Rana, A. (2025). Regulating the digital workforce: A human resource and legal agenda for gig workers. Journal of Political Stability Archive. https://doi.org/10.63468/3.3.28

Kim, P., Cheon, E., & Sawyer, S. (2023). Online freelancing on digital labor platforms: A scoping review. Companion Publication of the 2023 Conference on Computer Supported Cooperative Work and Social Computing. https://doi.org/10.1145/3584931.3607011

Köhler, H.-D. (2022). Book review: Riding for Deliveroo: Resistance in the new economy. Transfer: European Review of Labour and Research, 28, 389–391. https://doi.org/10.1177/10242589221123774

Lankanath, R. K. M. (2025). Human resource management in the gig economy: A critical review of integration and performance management strategies for a contingent workforce. Research Journal in Business and Economics. https://doi.org/10.61424/rjbe.v3i3.561

Lata, L., Burdon, J., & Reddel, T. (2022). New tech, old exploitation: Gig economy, algorithmic control and migrant labour. Sociology Compass. https://doi.org/10.1111/soc4.13028

Liu, R., & Yin, H. (2024). How algorithmic management influences gig workers' job crafting. Behavioral Sciences, 14. https://doi.org/10.3390/bs14100952

Mahato, M., Kumar, N., & Jena, L. (2021). Re-thinking gig economy in conventional workforce post-COVID-19: A blended approach for upholding fair balance. Journal of Work-Applied Management. https://doi.org/10.1108/jwam-05-2021-0037

McDonnell, A., Carbery, R., Burgess, J., & Sherman, U. (2021). Technologically mediated human resource management in the gig economy. The International Journal of Human Resource Management, 32, 3995–4015. https://doi.org/10.1080/09585192.2021.1986109

Muldoon, J., & Raekstad, P. (2022). Algorithmic domination in the gig economy. European Journal of Political Theory, 22, 587–607. https://doi.org/10.1177/14748851221082078

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

Popan, C. (2021). Embodied precariat and digital control in the 'gig economy': The mobile labor of food delivery workers. Journal of Urban Technology, 31, 109–128. https://doi.org/10.1080/10630732.2021.2001714

Prathaban, S. (2025). Gig economy talent management strategies for attracting and retaining freelance workers in a globalized market. 2025 World Skills Conference on Universal Data Analytics and Sciences (WorldSUAS), 1–8. https://doi.org/10.1109/worldsuas66815.2025.11199292

Sahu, G. R. (2025). The rise of gig economy: How HR is adapting to a new workforce model. International Research Journal on Advanced Engineering and Management. https://doi.org/10.47392/irjaem.2025.0108

Schreyer, J. (2021). Algorithmic work coordination and workers' voice in the COVID-19 pandemic: The case of Foodora/Lieferando. Work Organisation, Labour & Globalisation. https://doi.org/10.13169/workorgalaboglob.15.1.0069

Shabu, K., Priya, M., Mageswari, S., Prabhash, N., & Hari, A. (2025). Shaping the gig economy: Insights into management, technology, and workforce dynamics. International Journal of Accounting and Economics Studies. https://doi.org/10.14419/sx68fc91

Shad, M. A., Simon, M., & Liberatore, F. (2024). The impact of online labor platforms on workforce management in health care. Interactive Journal of Medical Research, 14. https://doi.org/10.2196/68546

Sun, P., & Chen, J. (2021). Platform labour and contingent agency in China. China Perspectives, 2021, 19–27. https://doi.org/10.4000/chinaperspectives.11325

Sun, P., Chen, J. Y., & Rani, U. (2021). From flexible labour to 'sticky labour': A tracking study of workers in the food-delivery platform economy of China. Work, Employment and Society, 37, 412–431. https://doi.org/10.1177/09500170211021570

Sun, Y. (2025). Mathematical and statistical analysis of gig work in the platform economy. Advances in Economics, Management and Political Sciences. https://doi.org/10.54254/2754-1169/2025.cau27208

Waldkirch, M., Bucher, E., Schou, P., & Grünwald, E. (2021). Controlled by the algorithm, coached by the crowd – how HRM activities take shape on digital work platforms in the gig economy. The International Journal of Human Resource Management, 32, 2643–2682. https://doi.org/10.1080/09585192.2021.1914129

Williams, P., McDonald, P., & Mayes, R. (2021). Recruitment in the gig economy: Attraction and selection on digital platforms. The International Journal of Human Resource Management, 32, 4136–4162. https://doi.org/10.1080/09585192.2020.1867613

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Published

2026-05-20

How to Cite

Sakaria, M. (2026). Gig Economy Management: Strategies for Managing a Flexible Workforce in the Digital Ecosystem. Oikonomia : Journal of Management Economics and Accounting, 3(3), 94–103. https://doi.org/10.61942/oikonomia.v3i3.600

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