Dark side of algorithmic management on platform worker behaviors: A mixed‐method study
Ying Lu,
Miles M. Yang,
Jianhua Zhu
et al.
Abstract:This research investigates the impact of algorithmic management on worker behaviors, focusing on workers' commitment to service quality and referral tendencies. Drawing upon the job demands‐resources model, we argue that high levels of algorithmic management could create hindrance demands that impede service quality and demotivate referral behaviors. We propose that high workload, as a challenge demand, buffers the negative effects of algorithmic management on worker outcomes. We find support for our proposed … Show more
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