A humanistic approach to algorithmic performance management: a model for enhancing app workers' motivation and optimal functioning

Purpose As the algorithmic management of app workers' performance becomes increasingly prevalent in the contemporary world of fluid work and considering its well-documented drawbacks on app workers' outcomes, we introduce a humanistic approach to algorithmic performance management to improve app workers' experiences and optimal functioning. Design/methodology/approach Drawing on humanistic management, self-determination theory, and research on algorithmic performance management, we develop an original model containing specific propositions to showcase how humanistic algorithmic performance management can lead to positive outcomes for app workers. Findings We advocate for a humanistic algorithmic performance management system that prioritizes the satisfaction of app workers' basic psychological needs and promotes their self-determined motivation and optimal functioning. We explain how humanistic algorithmic performance management can yield positive outcomes for app workers. Practical implications The study provides valuable insights and guidance for app-based platforms to enhance app workers' positive outcomes in a constantly changing world of work. Originality/value The proposed model offers a novel and alternative framework to the economist perspective of algorithmic performance management. Our model underscores the importance of app workers' flourishing, helping app-based platforms reduce the harms of algorithmic performance management. Our work also opens opportunities for theorizing and proposition testing for future research.