Technology-Based Gig Economy: Digital Innovation and Economic Inequality from the Perspective of Islamic Economics

Authors

  • Taufikur Rohman State Islamic University (UIN) Sunan Kalijaga, Yogyakarta, Indonesia Author
  • Sahrun Sahrun Bartın Üniversitesi, Turkey Author

Keywords:

Gig economy, Maqāṣid al-sharīʿah, Digital Technology, Islamic Economics, Social Justice

Abstract

This study aims to analyze the technology-based gig economy as a form of digital innovation as well as an arena of economic inequality from the perspective of Islamic economics. The research adopts a qualitative approach using a literature review method, strengthened by interviews, through an examination of national and international journal articles, reports from global institutions, and literature on Islamic economics and the digital economy. The findings indicate that the gig economy expands access to employment and enhances labor market efficiency through digital platforms and algorithmic management. However, this system also generates structural challenges, including income uncertainty, low worker bargaining power, non-transparent algorithmic dominance, and the lack of adequate social protection. From the perspective of maqāṣid al-sharīʿah, these conditions potentially conflict with the principles of justice (ʿadl), public interest (maṣlaḥah), and contractual clarity, and may involve elements of gharar in wage determination mechanisms and work allocation. This study emphasizes the importance of integrating Islamic economic values into platform governance and policy frameworks to foster a more equitable, sustainable, and socially oriented gig economy.

Downloads

Download data is not yet available.

References

Abd Razak, S. S. (2024). Protecting gig workers in the digital labour platform through the principles of social justice in Islam. Electronic Publications. https://www.electronicpublications.org/stuff/1143

Afridi, M. A. K. (2016). Maqasid al-shari’ah and preservation of basic rights under the theme “Islam and its perspectives on global & local contemporary challenges.” Journal of Education and Social Sciences, 4, 1–12.

Azmi, N., Hamzah, I., Ahmad, M. Y., & Lousada, S. A. N. (2024). Maqasid al-Shariah: Foundation for sustainable Sharia economic development. Al-Tijarah, 1(1), 1–12. https://ejournal.kampusalazhar.ac.id/index.php/jat/article/view/26

Creswell, J. W. (2023). Research design: Qualitative, quantitative, and mixed method approaches (6th ed.). Sage Publications.

Doolan, D. M., & Froelicher, E. S. (2009). Using an existing data set to answer new research questions: A methodological review. Research and Theory for Nursing Practice, 23(3), 203–215. https://doi.org/10.1891/1541-6577.23.3.203

Duggan, J., Carbery, R., McDonnell, A., & Sherman, U. (2023). Algorithmic HRM control in the gig economy: The app-worker perspective. Human Resource Management, 62(6), 883–899. https://doi.org/10.1002/hrm.22168

Fiers, F. (2024). Resilience in the gig economy: Digital skills in online freelancing. Journal of Computer-Mediated Communication, 29(5). https://doi.org/10.1093/jcmc/zmae014

Fuchs, C. (2018). Universal alienation, formal and real subsumption of society under capital, ongoing primitive accumulation by dispossession. TripleC: Communication, Capitalism & Critique, 16(2), 454–467. https://doi.org/10.31269/triplec.v16i2.1028

Human Rights Watch. (2025). The gig trap: Algorithmic, wage and labor exploitation in platform work in the US. https://www.hrw.org/report/2025/05/12/the-gig-trap/algorithmic-wage-and-labor-exploitation-in-platform-work-in-the-us

Hwang, J. (2024). The gig economy and its implications for labor laws and worker protections. International Journal of Science and Research Archive, 13(1), 3405–3416. https://doi.org/10.30574/ijsra.2024.13.1.1714

Ishak, A. H., Mohamad, S. N. A., Ismail, A. T., & Latib, N. A. A. (2025). Analysing the contemporary essentials of sustainable gig economy workforce from the lenses of maqasid shariah. Millah: Journal of Religious Studies, 24(1), 491–528. https://doi.org/10.20885/millah.vol24.iss1.art14

James, A. (2024). Platform work-lives in the gig economy: Recentering work–family research. Gender, Work & Organization, 31(2), 513–534. https://doi.org/10.1111/gwao.13087

Johnston, M. P. (2014). Secondary data analysis: A method of which the time has come. Qualitative and Quantitative Methods in Libraries, 3(3), 619–626.

Kadolkar, I., Kepes, S., & Subramony, M. (2025). Algorithmic management in the gig economy: A systematic review and research integration. Journal of Organizational Behavior, 46(7), 1057–1080. https://doi.org/10.1002/job.2831

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

Lang, J. J., Yang, L. F., Cheng, C., Cheng, X. Y., & Chen, F. Y. (2023). Are algorithmically controlled gig workers deeply burned out? BMC Psychology, 11(1), 354. https://doi.org/10.1186/s40359-023-01402-0

Liu, R., & Yin, H. (2024). How algorithmic management influences gig workers’ job crafting. Behavioral Sciences, 14(10), 952. https://doi.org/10.3390/bs14100952

Melzatia, S., Mahroji, Setiono, K. Y., & Daryanto, E. (2025). Digitalisation of Islamic economy and maqasid sharia for social resilience and welfare. Jurnal Lemhannas RI, 13(1), 89–102. https://doi.org/10.55960/jlri.v13i1.1153

Muldoon, J., & Raekstad, P. (2023). Algorithmic domination in the gig economy. European Journal of Political Theory, 22(4), 587–607. https://doi.org/10.1177/14748851221082078

Reich, M., & Parrott, J. A. (2020). Comparison of two Seattle TNC driver studies. Institute for Research on Labor and Employment. https://irle.berkeley.edu/publications/brief/comparison-of-two-seattle-tnc-driver-studies/

Sarkar, S. (2025). Platform capitalism and the gig economy: Surplus value extraction in the age of algorithmic labor. Socialism and Democracy, 39(1–2), 227–249. https://doi.org/10.1080/08854300.2025.2520478

Srihita, H. R., Goli, G., Rajyalaxmi, M., & Gobinath, R. (2025). Transformative dynamics of the gig economy: Technological impacts, worker well-being and global research trends. International Journal of Engineering Business Management, 17, 1–20. https://doi.org/10.1177/18479790241310362

Syed, J., & Ali, A. (2010). Principles of employment relations in Islam: A normative view. Employee Relations, 32(5), 454–469. https://doi.org/10.1108/01425451011061630

Vartanian, T. P. (2010). Secondary data analysis. Oxford University Press. https://doi.org/10.1093/acprof:oso/9780195388817.001.0001

Wang, J., Gao, Q., & Zhang, R. (2025). Gig economy and its impact on individual employment: An empirical analysis. Humanities and Social Sciences Communications, 12(1), 1703. https://doi.org/10.1057/s41599-025-05970-x

Wiener, M., Cram, W. A., & Benlian, A. (2023). Algorithmic control and gig workers: A legitimacy perspective of Uber drivers. European Journal of Information Systems, 32(3), 485–507. https://doi.org/10.1080/0960085x.2021.1977729

Wood, A. J. (2018). Powerful times: Flexible discipline and schedule gifts at work. Work, Employment and Society, 32(6), 1061–1077. https://doi.org/10.1177/0950017017719839

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

Yasmeen, K. (2023). Justice in the workplace: Islamic principles for wage determination. Islamic Economic Studies, 31(1–2), 43–87. https://doi.org/10.1108/ies-03-2023-0011

Downloads

Published

2026-02-05

Issue

Section

Articles