Artificial intelligence in human resources management: Summary of academic research and emerging trends (2016-2025)

Abstract

Artificial intelligence (AI) and human resource management (HRM) are two closely intertwined areas that have gained increasing attention in management research. While AI technologies aim to enhance decision-making, efficiency, and innovation within organizations, HRM reflects a company’s ability to manage, engage, and develop its workforce effectively. However, despite the growing body of literature, existing reviews remain fragmented and often lack a comprehensive synthesis of how AI impacts HR functions and employee-related outcomes. Importantly, AI is not merely a technological tool; when strategically integrated into HR practices, it can significantly improve employee engagement, organizational effectiveness, and ethical governance. The objective of this study is to examine the integration of AI in HRM and its impact on employee involvement and organizational outcomes, with a specific focus on identifying the research gap related to the lack of integrated thematic and analytical perspectives in prior reviews, and identifying the key dimensions that influence successful implementation. To achieve this, a systematic review of the literature published between 2016 and 2025 was conducted using the Scopus database to ensure access to the most relevant studies. Predefined inclusion and exclusion criteria were applied, resulting in an initial selection of 2,385 articles. After removing duplicates and conducting a detailed analysis of abstracts and full texts, a final sample of 23 studies was retained. Unlike prior studies that adopt a predominantly descriptive approach, this review combines descriptive and qualitative content analysis to provide a structured thematic synthesis of the literature. The analysis highlights three main areas: AI adoption strategies, HR functions most affected by AI, and ethical and regulatory challenges associated with its use. Key factors influencing successful AI integration include employee involvement, management commitment, and the implementation of ethical governance frameworks. Organizations that implement AI in a structured and transparent manner tend to achieve higher engagement, improved decision-making, and enhanced organizational effectiveness. The findings suggest that future research should focus on increasing employee participation in AI-driven HR initiatives, developing robust ethical guidelines, and establishing appropriate regulatory frameworks to maximize the positive impact of AI on human resource management.