
Regulating Platform Work and Trust Outcomes among Urban Gig Workers in India
Autori:
Kannu Rajamani KUMAR, Srinivasan MADHIVANAN, Bellan Nanjaundan SIVAKUMAR
Cod: ISSN: 1583-3410 (print), ISSN: 1584-5397 (electronic)
Dimensiuni: pp. 211-230
How to cite this article:Kumar, K.R., Madhivanan, S., Sivakumar, B.N. (2026). Regulating Platform Work and Trust Outcomes among Urban Gig Workers in India. Revista de Cercetare si Interventie Sociala, 92, 211-230, DOI: 10.33788/rcis.92.12 |
Abstract:
The fast growth of digital labour platforms has altered the nature of employment relations, and however, the introduction of new algorithmic governance mechanisms that determine the experience of gig workers. In this study, issues of algorithmic control, rating pressure, uncertainty in income, intensive monitoring, and gaps in governance are studied in relation to trust perception and consequently on job satisfaction and work wellbeing among gig workers. Based on a quantitative design and survey data of 310 platform workers in Bangalore, India, the study conducts the test on the proposed relationships using Partial Least Squares Structural Equation Modeling (PLS-SEM). The results show that the platform governance mechanisms do have a great impact on trust perception, and monitoring intensity and algorithmic control have a significant effect. The perception of trust is a strong predictor of job satisfaction and work well-being, which proves its mediating impact in platform-based working conditions. The findings also point out that clear algorithms, equitable governance systems, and stability in income are crucial in achieving trust and enhancing performances among workers. The research paper adds value to the body of research on the gig economy because it shows that platform governance based on trust is a key factor in sustainable and fair digital labour.
Keywords:
Gig economy; algorithmic governance; trust perception; job satisfaction; work wellbeing.
DOI: https://doi.org/10.33788/rcis.92.12
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