التفاصيل البيبلوغرافية
| العنوان: |
Dark side of algorithmic management on platform worker behaviors: A mixed‐method study. |
| المؤلفون: |
Lu, Ying, Yang, Miles M., Zhu, Jianhua, Wang, Ying |
| المصدر: |
Human Resource Management; May2024, Vol. 63 Issue 3, p477-498, 22p |
| مصطلحات موضوعية: |
QUALITATIVE research, RESEARCH funding, WORK environment, BLUE collar workers, FOOD service, DESCRIPTIVE statistics, MOTIVATION (Psychology), RESEARCH methodology, COMMITMENT (Psychology), DATA analysis software, EMPLOYEE attitudes, PSYCHOSOCIAL factors, ALGORITHMS, EMPLOYEES' workload, WELL-being, EDUCATIONAL attainment |
| مصطلحات جغرافية: |
CHINA |
| مستخلص: |
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 research model in an experiment with a sample of 1362 platform‐based food‐delivery riders. We also conduct a qualitative study with 21 riders, which provides a more nuanced understanding of how algorithmic management affects workers' attitudes, behaviors, and referral tendencies. [ABSTRACT FROM AUTHOR] |
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