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Objectification at work: The impact of algorithmic management on employee work engagement
Na Zhang1, Yunjing Zhang1, Chunhua Jin1
1School of Business, Beijing Information Science and Technology University, Beijing, 102206, China.
Algorithmic management negatively impacts employee work engagement by increasing workplace objectification, diminishing feelings of uniqueness and agency. This study highlights technology
Area of Science:
- Organizational Behavior
- Digital Management
- Psychology
Background:
- Algorithmic management is increasingly prevalent in modern workplaces.
- Existing research often overlooks its impact on employee self-concept, focusing instead on stress.
- Social identity theory offers a lens to examine identity threats in algorithmic management.
Purpose of the Study:
- To investigate the relationship between algorithmic management and employee work engagement.
- To explore the mediating role of workplace objectification perception.
- To understand how algorithmic management affects employees' sense of self and agency.
Main Methods:
- Utilized a two-wave questionnaire survey with 383 respondents.
- Employed social identity theory to construct a theoretical model.
- Statistically analyzed the proposed model of algorithmic management, workplace objectification, and work engagement.
Main Results:
- Algorithmic management showed a significant negative correlation with employee work engagement.
- Workplace objectification perception significantly mediated the relationship between algorithmic management and work engagement.
- Algorithmic management reinforces perceptions of instrumental value and powerlessness, diminishing employee agency.
Conclusions:
- Algorithmic management can lead to diminished work engagement through increased workplace objectification.
- Organizations should balance efficiency with employee care in technology-enabled management.
- Findings offer insights into the psychological impact of digital management and promote a technology-for-good paradigm.
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