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Expanding the Locus of Resistance: Understanding the Co-constitution of Control and Resistance in the Gig Economy

Author

Listed:
  • Lindsey D. Cameron

    (Wharton School, University of Pennsylvania, Philadelphia, Pennsylvania 19104)

  • Hatim Rahman

    (Kellogg School of Management, Northwestern University, Evanston, Illinois 60208)

Abstract

Existing literature examines control and resistance in the context of service organizations that rely on both managers and customers to control workers during the execution of work. Digital platform companies, however, eschew managers in favor of algorithmically mediated customer control—that is, customers rate workers, and algorithms tally and track these ratings to control workers’ future platform-based opportunities. How has this shift in the distribution of control among platforms, customers, and workers affected the relationship between control and resistance? Drawing on workers’ experiences from a comparative ethnography of two of the largest platform companies, we find that platform use of algorithmically mediated customer control has expanded the service encounter such that organizational control and workers’ resistance extend well beyond the execution of work. We find that workers have the most latitude to deploy resistance early in the labor process but must adjust their resistance tactics because their ability to resist decreases in each subsequent stage of the labor process. Our paper, thus, develops understanding of resistance by examining the relationship between control and resistance before, during, and after a task, providing insight into how control and resistance function in the gig economy. We also demonstrate the limitations of platforms’ reliance on algorithmically mediated customer control by illuminating how workers’ everyday interactions with customers can influence and manipulate algorithms in ways that platforms cannot always observe.

Suggested Citation

  • Lindsey D. Cameron & Hatim Rahman, 2022. "Expanding the Locus of Resistance: Understanding the Co-constitution of Control and Resistance in the Gig Economy," Organization Science, INFORMS, vol. 33(1), pages 38-58, January.
  • Handle: RePEc:inm:ororsc:v:33:y:2022:i:1:p:38-58
    DOI: 10.1287/orsc.2021.1557
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    References listed on IDEAS

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    Cited by:

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    2. Veen, Alex & Meijerink, Jeroen & Barratt, Tom & Keegan, Anne & Goods, Caleb, 2025. "Overcoming legitimacy challenges of novel HRM practices during internationalization: The case of two food-delivery platforms," Journal of World Business, Elsevier, vol. 60(2).
    3. Navajas-Romero, Virginia & Muñoz-Benito, Rocío & Sánchez-Rodríguez, M. Isabel, 2026. "Rethinking job dimensions: The value of riders and gig economy workers," Technological Forecasting and Social Change, Elsevier, vol. 222(C).
    4. Diane E. Bailey & Samer Faraj & Pamela J. Hinds & Paul M. Leonardi & Georg von Krogh, 2022. "We Are All Theorists of Technology Now: A Relational Perspective on Emerging Technology and Organizing," Organization Science, INFORMS, vol. 33(1), pages 1-18, January.
    5. Linzi Zhang & Jie Yang & Yiming Zhang & Guohu Xu, 2023. "Gig worker’s perceived algorithmic management, stress appraisal, and destructive deviant behavior," PLOS ONE, Public Library of Science, vol. 18(11), pages 1-22, November.
    6. Lindsey D. Cameron, 2022. "“Making Out” While Driving: Relational and Efficiency Games in the Gig Economy," Organization Science, INFORMS, vol. 33(1), pages 231-252, January.
    7. Zhao, Jie & Syed, Tahir Abbas, 2026. "Making sense of algorithms: Workers' coping strategies for algorithmic management on digital platforms," Technological Forecasting and Social Change, Elsevier, vol. 223(C).
    8. Claire Daviss & Ming D. Leung, 2025. "Reactions, Revisions, and Rehiring: Changes in Employers’ Gendered Preferences in Online Labor Markets," Organization Science, INFORMS, vol. 36(6), pages 2087-2107, November.
    9. Zhipeng Zhang & Runna Wang & Lu Shang & Kui Yin & Guangjian Liu & Xianxian Gui, 2025. "Injustice Provokes Psychological Resources Loss: A Dual-Pathway Model of App-worker Reactions to Customers’ Injustice," Journal of Business Ethics, Springer, vol. 197(4), pages 713-738, April.
    10. Yang, Yihao & Chi, Ming & Bi, Xinhua & Xu, Yongshun, 2025. "Dark sides of algorithmic control in app-based gig work: An objectification perspective," Journal of Business Research, Elsevier, vol. 195(C).
    11. Vanessa M. Conzon & James C. Mellody, 2025. "Concerted Quantification: How Knowledge Workers Limit Overwork While Maintaining Client Satisfaction," Organization Science, INFORMS, vol. 36(5), pages 1834-1860, September.
    12. Hannah Trittin-Ulbrich & Markus P. Zimmer & Stefanie Habersang & Leonhard Dobusch & Maren Gierlich-Joas & Elke Schüßler & Benjamin Mueller & Cristina Mihale-Wilson & Julia Zeller-Lanzl & Stephan Bohn , 2025. "Digital Responsibility: Building Bridges Between Organization Theory and Information Systems," Schmalenbach Journal of Business Research, Springer, vol. 77(4), pages 597-642, December.
    13. Hu, Peng & Wang, Xuru & Wang, Jinqiang, 2026. "Integrating human support with algorithmic control: Psychological reactance in platform work," Technological Forecasting and Social Change, Elsevier, vol. 225(C).
    14. XING, Jack Linzhou & SHARIF, Naubahar, 2025. "A processual approach to skill changes in digital automation: The case of the platform economy in the service sector," Research Policy, Elsevier, vol. 54(4).

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