Algorithmic Management Resource Model and Crowdworking Outcomes: A Mixed Methods Approach to Computational and Configurational Analysis
Authors: Delgosha, Mohammad Soltani; Hajiheydari, Nastaran
Journal: Journal of the Association for Information Systems (2026)
DOI: 10.17705/1jais.00967
<jats:p>The delegation of managerial functions such as job allocations, performance appraisals, and disciplining work behaviors to automated, intelligent algorithms has transformed various aspects of workplace dynamics. Despite the increasing prevalence of algorithmic management in today’s workplaces, its implications for work outcomes remain underspecified. Given the contextual novelty of this research, we adopted a mixed methods approach to theorize an algorithmic management resource model and investigate its configural relationships with crowdworkers’ engagement and burnout. This was achieved by analyzing online crowdworker community narratives and subsequently developing nuanced insights into the resources that algorithmic management offers or impedes. In Phase 1, drawing on conservation of resources (COR) theory tenets, we utilized computational text analysis to explore resource gains and losses associated with algorithmic management. Then, using configurational analysis over two studies (N = 322), we identified and empirically examined the interrelationships among resource passageways and work outcomes, specifically engagement and burnout. Our results support a theoretical u…