ALGORITHMIC MANAGEMENT IN THE FOOD DELIVERY GIG ECONOMY: MECHANISMS OF CONTROL AND WORKER AUTONOMY
DOI:
https://doi.org/10.29121/shodhkosh.v5.i1.2024.2878Keywords:
Algorithmic Management, Gig Economy, Food Delivery, Independent Work, Autonomy, Control, Illusion, Worker Behaviour, Platform EconomyAbstract [English]
The gig economy is a rapidly evolving segment of the global economy, attracting a major segment of the working population towards a new arrangement of work, including the food-delivery sector. When gig work is executed through a digitalized platform and work is controlled through app-based algorithms, it forms the basis of the platform economy. Automation and changing workforce demographics have paved way for workers to fulfil their desire for autonomy and flexibility. Such autonomy is however strictly monitored by algorithms which control workers activity through a rigorous mechanism of instructions, ratings and reviews that impacts the workers' autonomy, job satisfaction, and labour rights. This paper delves into the intricate relationship between algorithmic management and the illusion of independent work in the context of food delivery services. It explores the mechanisms through which algorithmic systems influence worker behaviour, impact worker autonomy, and give rise to the perceived illusion of independent work. The study highlights how these workers often perceive their roles as being autonomous and independent due to the flexibility and freedom associated with platform work and how this perception is shaped and manipulated by the algorithms that govern their work activities.
References
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. Research in Organizational Behavior, 38, 23-41. DOI: https://doi.org/10.1016/j.riob.2018.11.001
Barratt, T., Goods, C., & Veen, A. (2020). ‘I’m my own boss…’: Active intermediation and ‘entrepreneurial’worker agency in the Australian gig-economy. Environment and Planning A: Economy and Space, 52(8), 1643-1661. DOI: https://doi.org/10.1177/0308518X20914346
Burawoy, M. (1979). The anthropology of industrial work. Annual review of Anthropology, 8(1), 231-266. DOI: https://doi.org/10.1146/annurev.an.08.100179.001311
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. DOI: https://doi.org/10.2139/ssrn.2682602
Duggan, J., Sherman, U., Carbery, R., & McDonnell, A. (2021). Boundaryless careers and algorithmic constraints in the gig economy. The International Journal of Human Resource Management, 1-31. DOI: https://doi.org/10.1080/09585192.2021.1953565
Galiere, S. (2020). When food‐delivery platform workers consent to algorithmic management: a Foucauldian perspective. New Technology, Work and Employment, 35(3), 357-370. DOI: https://doi.org/10.1111/ntwe.12177
Gandini, A. (2019). Labour process theory and the gig economy. Human relations, 72(6), 1039- 1056. DOI: https://doi.org/10.1177/0018726718790002
Ge, H., Caverlee, J., & Lee, K. (2015). Crowds, gigs, and super sellers: A measurement study of a supply-driven crowdsourcing marketplace. In Proceedings of the International AAAI Conference on Web and Social Media (Vol. 9, No. 1, pp. 120-129). DOI: https://doi.org/10.1609/icwsm.v9i1.14614
Goods, C., Veen, A., & Barratt, T. (2019). “Is your gig any good?” Analysing job quality in the Australian platform-based food-delivery sector. Journal of Industrial Relations, 61(4), 502-527. DOI: https://doi.org/10.1177/0022185618817069
Griesbach, K., Reich, A., Elliott-Negri, L., & Milkman, R. (2019). Algorithmic control in platform food delivery work. Socius, 5, 2378023119870041. DOI: https://doi.org/10.1177/2378023119870041
Jamil, R. (2020). Uber and the making of an Algopticon-Insights from the daily life of Montreal drivers. Capital & Class, 44(2), 241-260. DOI: https://doi.org/10.1177/0309816820904031
Jarrahi, M. H., Newlands, G., Lee, M. K., Wolf, C. T., Kinder, E., & Sutherland, W. (2021). Algorithmic management in a work context. Big Data & Society, 8(2), 20539517211020332. DOI: https://doi.org/10.1177/20539517211020332
Kaine, S., & Josserand, E. (2019). The organisation and experience of work in the gig economy. Journal of Industrial Relations, 61(4), 479-501. DOI: https://doi.org/10.1177/0022185619865480
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. DOI: https://doi.org/10.5465/annals.2018.0174
Kitchin, R. (2017). Thinking critically about and researching algorithms. Information, communication & society, 20(1), 14-29. DOI: https://doi.org/10.1080/1369118X.2016.1154087
Lehdonvirta, V. (2018). Flexibility in the gig economy: managing time on three online piecework platforms. New Technology, Work and Employment, 33(1), 13-29. DOI: https://doi.org/10.1111/ntwe.12102
Lin, P. M., Au, W. C., Leung, V. T., & Peng, K. L. (2020). Exploring the meaning of work within the sharing economy: A case of food-delivery workers. International Journal of Hospitality Management, 91, 102686. DOI: https://doi.org/10.1016/j.ijhm.2020.102686
Malik, R., Visvizi, A., & Skrzek-Lubasińska, M. (2021). The gig economy: Current issues, the debate, and the new avenues of research. Sustainability, 13(9), 5023. DOI: https://doi.org/10.3390/su13095023
Mazzella, F., Sundararajan, A., D’Espous, V., & Möhlmann, M. (2016). How digital trust powers the sharing economy. IESE Insight, (30), 24-30. DOI: https://doi.org/10.15581/002.ART-2887
Mehta, B. S. (2020). Changing nature of work and the gig economy: Theory and debate. FIIB Business Review, 2319714520968294. DOI: https://doi.org/10.1177/2319714520968294
Möhlmann, M., Zalmanson, L., Henfridsson, O., & Gregory, R. W. (2021). ALGORITHMIC MANAGEMENT OF WORK ON ONLINE LABOR PLATFORMS: WHEN MATCHING MEETS CONTROL. MIS quarterly, 45(4). DOI: https://doi.org/10.25300/MISQ/2021/15333
Muldoon, J., & Raekstad, P. (2022). Algorithmic domination in the gig economy. European Journal of Political Theory, 14748851221082078. DOI: https://doi.org/10.1177/14748851221082078
Orr, W., Henne, K., Lee, A., Harb, J. I., & Alphonso, F. C. (2023). Necrocapitalism in the Gig Economy: The Case of Platform Food Couriers in Australia. Antipode, 55(1), 200-221. DOI: https://doi.org/10.1111/anti.12877
Popan, C. (2021). Embodied precariat and digital control in the “gig economy”: the mobile labor of food delivery workers. Journal of Urban Technology, 1-20. DOI: https://doi.org/10.1080/10630732.2021.2001714
Schildt, H. (2017). Big data and organizational design–the brave new world of algorithmic management and computer augmented transparency. Innovation, 19(1), 23-30. DOI: https://doi.org/10.1080/14479338.2016.1252043
Srnicek, N. (2017). Platform capitalism. John Wiley & Sons.
Srnicek, N., & Williams, A. (2015). Inventing the future: Postcapitalism and a world without work. Verso Books.
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. DOI: https://doi.org/10.1177/1035304617722461
Van Doorn, N., Ferrari, F., & Graham, M. (2023). Migration and migrant labour in the gig economy: An intervention. Work, Employment and Society, 37(4), 1099-1111. DOI: https://doi.org/10.1177/09500170221096581
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. DOI: https://doi.org/10.1177/0950017019836911
Wang, C., Chen, J., & Xie, P. (2022). Observation or interaction? Impact mechanisms of gig platform monitoring on gig workers’ cognitive work engagement. International Journal of Information Management, 67, 102548. DOI: https://doi.org/10.1016/j.ijinfomgt.2022.102548
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