The Impact of Algorithmic Nudges on Self-Regulation and Task Acceptance in Gig Economies

Abstract

The rapid expansion of digital labor platforms has given rise to sophisticated algorithmic management systems that not only allocate tasks and set remuneration but also increasingly deploy behavioral nudges to steer worker conduct. This paper presents a systemic investigation into how algorithmic nudges influence self-regulation and task acceptance among gig economy workers, moving beyond individual-level psychological inquiry to emphasize structural trade-offs, platform architectures, governance frameworks, and infrastructure-level implications. The analysis draws on interdisciplinary perspectives from information systems, behavioral economics, operations management, and science and technology studies to map the mechanisms through which real-time goal-setting prompts, dynamic incentive framing, and predictive just-in-time notifications reshape worker decision-making. It is argued that while nudges can temporarily boost platform liquidity and worker responsiveness, their pervasive deployment introduces significant risks, including the erosion of autonomous self-regulation, the inducement of cognitive dependency on algorithmic guidance, and the disproportionate exploitation of vulnerable worker populations. The paper examines the architectural design choices that encode nudge logics into platform infrastructures, highlighting the tension between optimization for short-term system efficiency and the long-term sustainability of worker livelihoods. Particular attention is devoted to fairness, transparency, and accountability in algorithmic nudging practices, with critical evaluation of existing regulatory approaches and proposals for participatory design mechanisms. By reframing algorithmic nudges as a socio-technical governance tool rather than a neutral design intervention, the study calls for a reorientation of platform policy toward infrastructures that support worker agency, resilience, and informed consent. The paper concludes with a forward-looking agenda for the co-design of nudge architectures that align platform business models with broader societal values of dignity and fairness in the future of work.