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| Impact of Perceived Algorithmic Control of Gig Workers on Work Engagement: A DualPathway Model Based on Cognitive and Affective Factors |
| ZHANG Lanxia, LI Jiamin, MAO Mengyu |
| School of Business Administration, Northeastern University |
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Abstract: The rapid development of algorithms and their application in management activities are changing the way employees work and bringing new challenges to organizational management practices.There is currently little research focusing on the mechanisms by which employees perceived algorithmic control and how it impacts their work engagement.This study is based on the conservation of resources theory and constructs a dual-path model of the impact of perceived algorithmic control on work engagement from cognitive and emotional perspectives.It examines the mediating role of cognitive load and emotional exhaustion,as well as the moderating role of algorithm transparency.From a two-stage survey analysis of 397 gig workers this study finds that perceived algorithmic control significantly negatively affects work engagement.Cognitive load and emotional exhaustion not only play mediation effects in the relationships between perceived algorithmic control and work engagement,but also play chain mediation roles in the relationships between perceived algorithmic control and work engagement.In addition,algorithm transparency not only moderates the effects of perceived algorithmic control on cognitive load and emotional exhaustion,but also moderates the mediating role of cognitive load and emotional exhaustion.This study enriches the empirical research results in the field of algorithm management,and provides a basis for relevant organizations to develop scientific employee management measures.
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Received: 08 December 2023
Published: 15 March 2024
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2024, Vol. 44 
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