Research Interests

Algorithms, Future of Work/Gig Economy, Contemporary careers, Financial well-being, Lower-skilled work, Field research


The Rise of Algorithmic Work: Implications for Managerial Control and Worker Autonomy

Upwork. Caviar. Uber. In less than a decade the on-demand economy, a labor market characterized by short-term assignments where work is coordinated through algorithms, has radically reshaped the nature of work and workers’ experience. Long-standing organizational theories suggest that the rise of algorithmic management systems will tighten the iron cage, estranging workers by ever increasing  comprehensive, instantaneous, real-time, and opaque levels of control. This dissertation, however, reveals the multiple ways workers find and express individual agency in such an environment. In my first paper, I examine how, in the absence of such traditional organizational scaffolds (e.g., managers, socialization practices), do individuals make meaning of their work in a way that fosters investment into the work? I find that through interactions the customer and the app individuals turn their work into games that they find meaningful, can control, and ‘win’ each with divergent implications. In the second empirical paper, I examine the relationship between algorithmic management and autonomy finding they are not necessarily antithetical. I describe how algorithms structure the work and, how at the site of each human-algorithm interaction, workers are able to express autonomy. At these micro-moments of autonomy, consent to the work is continually produced and reproduced; however consent is fragile and can be withdrawn at any time. This dissertation has implications for theories around meaning-making, workplace games, and algorithmic management.

Committee: Jerry Davis (Chair), Jane Dutton, Seth Carnahan (Strategy), Tawanna Dillahunt (Information Science), Beth Bechky (NYU, Stern)


 Manuscripts Under Review and Working Papers

  • Cameron, L. (Revise & Resubmit Requested). “(Relative) Freedom in Algorithms: How Digital Platforms Reconfigure Workplace Consent
  •  Cameron, L. & Meuris, J.* (Revise & Resubmit Requested). “The Perils of Paycheck Dispersion: When Fluctuation in Compensation Jeopardize Retention”.
    • *Shared First Authorship
  • Rahman, H.*, Cameron, L.*, & Karunakaran, A*. “Taming Platform Power: Taking Accountability Into Account, An Integrative Review on Digital Platforms” Under 2nd Round Review, Academy of Management Annals
    • *Shared First Authorship.
  • Cameron, L.,* Lamars, L.*, Leicht-Deobald, U.*, Lutz, C.*, Meijerink, J* & Mohlmann, M.*. Algorithmic Management: Its Implications for Information Systems Research. Revise & Resubmit, Communications of the Association of Information Systems.
    • *Authorship Alphabetical
  • Nurmohamed, S, McCluney, C., Cameron, L., Mayer, D. (Working Paper) “Show me the money?: The Business vs. Ethical Case for Diversity in Corporations.”
  • Cameron, L. (Working Paper). “The Sound, Smells, and Tastes that Bind Us: Materiality in the Process of Organizational Identification in Diverse Communities”

Practitioner Publications and Podcasts

Research in Progress

  • Cameron, L.*, Thomason, B.* & Occhiuto, N*. (Data Analysis/Writing). “The Platform is Not Neutral: Examining Regulatory Disputes in a Multinational Ethnography of the RideHaling Industry”.
    • *Shared First Authorship
  •  Cameron, L. (Data Collection). “The Gig Worker and the Pandemic”.
  • Cameron, L*. & Wertz, K*., Rahman, H. “Unhooking from the Matrix: Algo-Activism in the Gig Economy”
    • * Shared first authorship

Resource List

  • Resources on critical thinking, research design, qualitative methods, and managing life as an academic.

Other Work