ABSTRACT. We draw on a substantial body of theoretical and empirical research on the increasing casualization of the gig economy, and using and replicating data from Edelman Intelligence, Gallup, Statista, U.S. Census Bureau, and YouGov Omnibus, we performed analyses and made estimates regarding type of gig economy work by income earned from gig economy in the past 12 months (UK, %), the divide between independent and contingent gig workers (% strongly agree), percentage of gig workers in the U.S. (by age), number and growth of businesses without paid employees (by industry), and the last time individuals participated in skill-related education or training (%). Structural equation modeling was used to analyze the data and test the proposed conceptual model.
JEL codes: L14; L86

Keywords: casualization; gig economy; algorithmic management; insecure work

How to cite: Nickell, Doug, Jana Kliestikova, and Maria Kovacova (2019). “The Increasing Casualization of the Gig Economy: Insecure Forms of Work, Precarious Employment Relationships, and the Algorithmic Management of Labor,” Psychosociological Issues in Human Resource Management 7(1): 60–65. doi:10.22381/PIHRM7120197

Received 4 January 2019 • Received in revised form 24 April 2019
Accepted 28 April 2019 • Available online 1 May 2019