The Effects of Electronic Monitoring and Algorithmic Management on the Crowdsourced Logistics Workforce

• In Event: LOGISTICS and TRANSPORTATION MANAGEMENT: Advances in consumer-centric supply chain management

Abstract

Crowdsourced logistics (CSL) platforms rely heavily on electronic monitoring and algorithmic management, yet their effects on driver behavior and system performance remain unclear. This multi-method study addresses that gap. First, a vignette experiment grounded in cognitive dissonance theory tests a moderated mediation model of drivers’ willingness to work under varying control intensities. Second, findings are integrated into an exploratory agent-based simulation to examine how individual preferences shape macro-level outcomes. Results highlight the relationship between micro-level behaviors and system performance, offering both theoretical contributions and practical insights for CSL platform managers seeking to optimize workforce management strategies.

Authors

• Michael J Dwyer, Iowa State University

• William J Rose, Iowa State University

• Robert E Overstreet, University of Southern Mississippi