A Systematic Literature Review on the Impact of Data Mining on Workforce Privacy and Employment Practices: Ethical Concerns and Risks
DOI:
https://doi.org/10.24191/jikm.v15i2.6962Keywords:
Algorithmic decision-making, Data mining, Employee autonomy, Ethics, PrivacyAbstract
This research examined the ethical considerations and privacy concerns in employment practices through data mining techniques as algorithmic decision-making becomes prevalent in hiring, employee performance assessment, and employee behavior surveillance. The research identifies ethical dilemmas and examines how these practices create significant implications concerning employee autonomy and trust in organizational contexts. In reviewing the literature, the study identifies issues around transparency, fairness, and privacy loss and discusses regulatory measures that help identify potential privacy vulnerabilities, such as the General Data Protection Regulation (GDPR). The findings reveal the importance of developing responsible data mining practices that evaluate how business efficiency is balanced against upholding individual rights. This scholarly inquiry contributes to an understanding of future research directions where ethical responsibility in decision-making processes encompasses comprehensive privacy protection as well as their integration of ethical considerations into data-driven organizational systems.
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