Impact of Algorithmic Management on Employee Well-Being
Author Information
Author(s): Zayid Husam, Alzubi Ahmad, Berberoğlu Ayşen, Khadem Amir
Primary Institution: University of Mediterranean Karpasia
Hypothesis
How do algorithmic management practices affect workforce well-being?
Conclusion
Algorithmic management practices can increase job burnout and perceived threat, negatively impacting workforce well-being.
Supporting Evidence
- Algorithmic management practices significantly increased job burnout.
- Job burnout negatively influenced workforce well-being.
- Perceived threat was heightened by algorithmic management practices.
Takeaway
Using computers to manage workers can make them feel more stressed and less happy at work.
Methodology
The study used a cross-sectional survey design targeting KOSGEB-registered manufacturing SMEs in Istanbul, Turkey, with data analyzed using Smart PLS 4.
Potential Biases
Potential bias due to self-reported data and the specific context of the study.
Limitations
The study's cross-sectional design limits causal inferences and the sample is specific to manufacturing SMEs in Turkey.
Participant Demographics
The sample included predominantly male respondents aged 41-50 from various manufacturing sectors.
Statistical Information
P-Value
p<0.001
Statistical Significance
p<0.05
Digital Object Identifier (DOI)
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