A systematic literature review on the impact of data mining on workforce privacy and employment practices: ethical concerns and risks
Data mining tools enabled by artificial intelligence can change the norms in employment practices. Employers can capitalize on data mining technologies to assist in the hiring process, employee performance assessment and behavior surveillance at the workplace. While these practices are becoming more...
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| Format: | Article |
| Language: | en |
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Faculty of Information Management
2025
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| Online Access: | https://ir.uitm.edu.my/id/eprint/128251/1/128251.pdf https://ir.uitm.edu.my/id/eprint/128251/ https://journal.uitm.edu.my/ojs/index.php/JIKM |
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| _version_ | 1852709485604241408 |
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| author | Ismail, Azratul Ain Nadiah Mohamad, Ahmad Nadzri |
| author_facet | Ismail, Azratul Ain Nadiah Mohamad, Ahmad Nadzri |
| author_sort | Ismail, Azratul Ain Nadiah |
| building | Tun Abdul Razak Library |
| collection | Institutional Repository |
| content_provider | Universiti Teknologi Mara |
| content_source | UiTM Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | Data mining tools enabled by artificial intelligence can change the norms in employment practices. Employers can capitalize on data mining technologies to assist in the hiring process, employee performance assessment and behavior surveillance at the workplace. While these practices are becoming more prevalent, there is a lack of consolidated research that covers the ethical concerns of data mining on workforce privacy and employment practices. Given this context, the study examines ethical concerns and risks associated with using data mining tools in the respective sphere. The research applied the PRISMA 2020 statement for a systematic literature review. A Python script was used to assist in selecting relevant articles based on selected keywords. VOSviewer was utilized as a bibliometric mapping tool to provide a preliminary understanding of the retrieved scholarly articles. The study reviewed 154 scholarly articles from four online databases. This led to the inclusion of 21 articles for the systematic literature review. The findings suggest that employees are concerned about system biases and unconsented data usage for algorithmic decisions in employment practices. This includes the lack of transparency in using data mining tools and artificial intelligence. Another concern is using emotional data for employee profiling. Emotional data can be used to monitor work performance and behaviour through wearable devices or cameras. As such, employees have a 'trust deficit' with data mining tools and systems in work-related decision making. This is when employees view these systems as having 'less empathy' in decision-making. For that reason, better mechanisms are required to enhance trust and confidence in using these systems. This includes strengthening legal aspects and frameworks to secure employees' trust and rights. Future studies can use the findings as a theoretical basis to explore the research topic in medium and large corporations across countries. |
| format | Article |
| id | my.uitm.ir-128251 |
| institution | Universiti Teknologi Mara |
| language | en |
| publishDate | 2025 |
| publisher | Faculty of Information Management |
| record_format | eprints |
| spelling | my.uitm.ir-1282512025-12-17T03:09:36Z https://ir.uitm.edu.my/id/eprint/128251/ A systematic literature review on the impact of data mining on workforce privacy and employment practices: ethical concerns and risks jikm Ismail, Azratul Ain Nadiah Mohamad, Ahmad Nadzri Employee participation in management. Employee ownership. Industrial democracy. Works councils Employers' associations Personnel management. Employment management Data mining tools enabled by artificial intelligence can change the norms in employment practices. Employers can capitalize on data mining technologies to assist in the hiring process, employee performance assessment and behavior surveillance at the workplace. While these practices are becoming more prevalent, there is a lack of consolidated research that covers the ethical concerns of data mining on workforce privacy and employment practices. Given this context, the study examines ethical concerns and risks associated with using data mining tools in the respective sphere. The research applied the PRISMA 2020 statement for a systematic literature review. A Python script was used to assist in selecting relevant articles based on selected keywords. VOSviewer was utilized as a bibliometric mapping tool to provide a preliminary understanding of the retrieved scholarly articles. The study reviewed 154 scholarly articles from four online databases. This led to the inclusion of 21 articles for the systematic literature review. The findings suggest that employees are concerned about system biases and unconsented data usage for algorithmic decisions in employment practices. This includes the lack of transparency in using data mining tools and artificial intelligence. Another concern is using emotional data for employee profiling. Emotional data can be used to monitor work performance and behaviour through wearable devices or cameras. As such, employees have a 'trust deficit' with data mining tools and systems in work-related decision making. This is when employees view these systems as having 'less empathy' in decision-making. For that reason, better mechanisms are required to enhance trust and confidence in using these systems. This includes strengthening legal aspects and frameworks to secure employees' trust and rights. Future studies can use the findings as a theoretical basis to explore the research topic in medium and large corporations across countries. Faculty of Information Management 2025-10 Article PeerReviewed text en https://ir.uitm.edu.my/id/eprint/128251/1/128251.pdf Ismail, Azratul Ain Nadiah and Mohamad, Ahmad Nadzri (2025) A systematic literature review on the impact of data mining on workforce privacy and employment practices: ethical concerns and risks. (2025) Journal of Information and Knowledge Management (JIKM) <https://ir.uitm.edu.my/view/publication/Journal_of_Information_and_Knowledge_Management_=28JIKM=29.html>, 15 (2): 5. pp. 55-71. ISSN ISSN:2231-8836 ; E-ISSN:2289-5337 https://journal.uitm.edu.my/ojs/index.php/JIKM 10.24191/jikm.v15i2.6962 10.24191/jikm.v15i2.6962 10.24191/jikm.v15i2.6962 |
| spellingShingle | Employee participation in management. Employee ownership. Industrial democracy. Works councils Employers' associations Personnel management. Employment management Ismail, Azratul Ain Nadiah Mohamad, Ahmad Nadzri A systematic literature review on the impact of data mining on workforce privacy and employment practices: ethical concerns and risks |
| title | A systematic literature review on the impact of data mining on workforce privacy and employment practices: ethical concerns and risks |
| title_full | A systematic literature review on the impact of data mining on workforce privacy and employment practices: ethical concerns and risks |
| title_fullStr | A systematic literature review on the impact of data mining on workforce privacy and employment practices: ethical concerns and risks |
| title_full_unstemmed | A systematic literature review on the impact of data mining on workforce privacy and employment practices: ethical concerns and risks |
| title_short | A systematic literature review on the impact of data mining on workforce privacy and employment practices: ethical concerns and risks |
| title_sort | systematic literature review on the impact of data mining on workforce privacy and employment practices: ethical concerns and risks |
| topic | Employee participation in management. Employee ownership. Industrial democracy. Works councils Employers' associations Personnel management. Employment management |
| url | https://ir.uitm.edu.my/id/eprint/128251/1/128251.pdf https://ir.uitm.edu.my/id/eprint/128251/ https://journal.uitm.edu.my/ojs/index.php/JIKM |
| url_provider | http://ir.uitm.edu.my/ |