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How Do Algorithmic Management Practices Impact Ride-hailing Drivers Service Performance?
2023-11-07

Workshop’s Topic: Online labor platforms (OLPs) use algorithmic management practices to manage app workers. Drawing on self-determination theory, this study examines the effects of perceived algorithmic management practices (PAMP) on ride-hailing drivers service performance through three studies. We theorize the process by examining the mediating role of individual need satisfaction (competence, autonomy, and relatedness) and work engagement, as well as the moderating role of online community support (OCS). In the first study, we developed a PAMP scale and validated it in a rigorous multi-stage procedure. In the second study, we empirically tested our conceptual model with a sample of 431 ride-hailing drivers. Our results show that PAMP affects drivers’ satisfaction of the needs of competence, autonomy and connectedness differently. Satisfying these three basic needs increases engagement at work and thus improves service performance.

Furthermore, OCS positively moderates the relationship between PAMP and driver need satisfaction. To deepen our understanding of how PAMP influences drivers’ need satisfaction and behavior, we conducted a qualitative study with 103 ride-hailing drivers. Our study provides valuable insights for future research and practice in dealing with app employees in the gig economy.

Time and Location: 15:00-16:30 PM (GMT+8), Room A723 (School of Management)

Language: Bilingual (Chinese and English)

Introduction of Speakers

HUANG Qihai

University of Huddersfield, School of Business




Huang Qihai is currently a professor in the School of Business, and the head of Management Department at the University of Huddersfield. His main research concentrates on entrepreneurship and management, and has been funded from institutions such as the European Union (EU), the British Council, UKTI, Advanced Institute of Management, the Association of Chartered Certified Accountants, and the National Natural Science Foundation of China. His findings have been published on Human Resource Management Journal, Regional Studies, Journal of Business Research, Entrepreneurship and Regional Development, Technovation, etc. He was selected in the Hot Topics’ list of the worlds top 100 professors of entrepreneurship in 2015.

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