The gig economy offers tremendous flexibility for workers and companies, but it also comes with a host of unknown factors for both parties. A new study co-authored by Wharton professor of operations, information and decisions Gad Allon looks at how drivers for a ride-hailing firm make labor decisions – when to work, and for how long – and aims to improve predictions about labor supply and to shed light on more effective financial incentives. The paper, titled “The Impact of Behavioral and Economic Drivers on Gig Economy Workers,” is co-authored by New York University Stern School of Business professor Maxime Cohen and Wharton doctoral candidate Park Sinchaisri. Allon recently visited the Knowledge@Wharton radio show on SiriusXM to discuss the implications of the study and what the future of work could look like.
