Opportunities and Challenges of AI Implementation in Human Resource Management: A Systematic Review

Artificial intelligence (AI) significantly impacts human resource management (HRM), reshaping the nature of work, workers, and workplaces. Although AI-assisted HRM is viewed as a valuable strategy for enhancing organizational productivity, research on AI technologies in HRM remains limited and fragmented, resulting in a lack of comprehensive understanding of their effects at both organizational and individual levels. To address these gaps, this study presents a systematic literature review (SLR) of 54 relevant articles published in Scopus and Web of Science indexed journals. The findings reveal that intelligent automation offers new methods for managing employees and boosting firm performance while also presenting challenges related to adoption and ethics. Key HRM strategies affected include recruitment, performance evaluation, training, employee engagement, and compensation. The study establishes a strategic framework for integrating research on AI applications in HRM, along with testable propositions for future research.

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Publication Details

Journal
International Journal of Multidisciplinary Research and Growth Evaluation
Published
2025-01-01
DOI
https://doi.org/10.54660/.ijmrge.2025.6.4.1160-1168
Citations
3
Primary Topic
Impact of AI and Big Data on Business and Society
Type
article
Field-Weighted Citation Impact
6.32
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article

Opportunities and Challenges of AI Implementation in Human Resource Management: A Systematic Review

M Dwivedi
3 citations
International Journal of Multidisciplinary Research and Growth Evaluation
Impact of AI and Big Data on Business and Society
6.32
article

Opportunities and Challenges of AI Implementation in Human Resource Management: A Systematic Review

M Dwivedi
article en
3 citations

Abstract

Artificial intelligence (AI) significantly impacts human resource management (HRM), reshaping the nature of work, workers, and workplaces. Although AI-assisted HRM is viewed as a valuable strategy for enhancing organizational productivity, research on AI technologies in HRM remains limited and fragmented, resulting in a lack of comprehensive understanding of their effects at both organizational and individual levels. To address these gaps, this study presents a systematic literature review (SLR) of 54 relevant articles published in Scopus and Web of Science indexed journals. The findings reveal that intelligent automation offers new methods for managing employees and boosting firm performance while also presenting challenges related to adoption and ethics. Key HRM strategies affected include recruitment, performance evaluation, training, employee engagement, and compensation. The study establishes a strategic framework for integrating research on AI applications in HRM, along with testable propositions for future research.

International Journal of Multidisciplinary Research and Growth EvaluationVol. 6(4)
Institute of Chartered Financial Analysts of India (IN)
Openalex Percentile: Top 4%
Impact of AI and Big Data on Business and Society
6.32
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