Digital Commitment Devices and Labor Allocation Decisions in Gig Work Ecosystems

Authors

  • Eduard M. Lapaz Department of Computer Science, University of North Texas, Denton, TX, USA. Author
  • Matteo Marshall Department of Computer Science, University of New Hampshire, Durham, NH, USA. Author
  • Ankit R. Dubey School of Computing, Clemson University, Clemson, SC, USA. Author

Keywords:

gig economy, commitment devices, labor allocation, digital platforms, algorithmic management, socio-technical systems, platform governance, fairness

Abstract

The rapid expansion of digital labor platforms has transformed how work is organized, compensated, and governed, with algorithmic management playing an increasingly central role in shaping the allocation of human effort. Among the behavioral design mechanisms introduced by these platforms, digital commitment devices—technologically mediated tools that encourage workers to set and adhere to predefined performance targets—have emerged as influential instruments for steering labor supply and work intensity. This paper provides a system-level examination of digital commitment devices within gig work ecosystems, analyzing their architectural embedding, structural trade-offs, governance dynamics, and implications for fairness and sustainability. Moving beyond individual-level incentive studies, the discussion conceptualizes commitment devices as socio-technical control loops that integrate data capture, predictive modeling, and personalized nudging into the platform core. It interrogates how such architectures reconfigure labor allocation decisions across temporal, spatial, and cross-platform dimensions, often producing tensions between worker autonomy and platform optimization objectives. Governance challenges, including algorithmic opacity, information asymmetry, and the erosion of worker bargaining power, are explored alongside issues of differential impact on marginalized worker populations. The paper further assesses infrastructure robustness, the risks of cascading failures in tightly coupled commitment systems, and the environmental externalities of labor intensification. Policy implications are delineated, encompassing algorithmic transparency mandates, participatory design of commitment parameters, and regulatory frameworks that extend beyond employment classification to encompass the procedural entitlements of digitally managed workers. By integrating perspectives from platform studies, behavioral economics, labor sociology, and systems engineering, the paper articulates a cross-disciplinary research agenda for the design of equitable, resilient, and sustainable commitment architectures in future work ecosystems.

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Published

2026-06-15

How to Cite

Digital Commitment Devices and Labor Allocation Decisions in Gig Work Ecosystems. (2026). International Journal of Artificial Intelligence Engineering and Systems, 1(2). https://www.ijaies.org/index.php/home/article/view/75