Perceived managerial support of algorithmic management: Mitigating harmful effects on the well-being of platform workers

Digital labor platforms include web-based platforms, where tasks are outsourced to the crowd (e.g., programming), and location-based platforms (e.g., food delivery) allocate work to workers in a specific area. These platforms apply self-learning algorithms on two dimensions: (1) matching supply and demand and (2) controlling and monitoring workers' behavior. Algorithms can thus complement or even fully substitute the human manager. Platform workers are often concerned, as they feel constant surveillance, lack of transparency, and dehumanization.

In the joint research project together with TU Dresden host Prof. Dr. Martin Wiener, we investigate the well-being of platform workers influenced by the algorithmic manager, the type of employment, and external support, e.g., by workers' unions.

The research will build theory in algorithmic management. Qualitative and quantitative data will help build and validate a theoretic model. The study thus aims to strengthen the knowledge and experience of the involved partners in the relatively new research field of algorithmic management