FROM ALGORITHM TO ACTION: A SYSTEMATIC REVIEW ON MAPPING THE PATHWAYS OF GIG WORKERS BEHAVIOR
DOI:
https://doi.org/10.31539/zkhe3050Keywords:
Algorithmic Management, Behavioral Response, Cognitive Appraisal, Psychological Mechanisms, Stimulus Organism ResponseAbstract
The implementation of algorithmic management in the platform-based gig economy has brought fundamental changes, not only in how work is performed, but also in how gig workers adapt their behavior to decisions made automatically by algorithms. This study aims to systematically review how algorithmic management shapes gig workers behavioral responses through internal psychological mechanisms. A systematic literature review was conducted following PRISMA guidelines. A total of 525 articles were initially retrieved from the Scopus database using keyword-based search strategies. After applying strict inclusion and exclusion criteria, 40 high-relevance articles were selected for thematic synthesis. The findings reveal that algorithmic management triggers diverse internal responses, including cognitive appraisals, affective states, psychological strain, and motivational changes. These processes lead to varied behavioral outcomes, ranging from constructive and proactive to destructive, passive, and ambivalent behaviors. Algorithmic systems profoundly shape gig workers perceptions, emotions, and behaviors. Future research should adopt cross-contextual designs to better understand these dynamics. Platforms must balance efficiency with worker well-being by embedding fairness, transparency, and psychological safety into algorithmic practices.
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