Human resource management transformation in the digital age: A literature review on the application of artificial intelligence and data analytics in recruitment, training, and employee performance evaluation
Keywords:
artificial intelligence, data analytics, digital era, employee performance evaluation, human resource management transformation, recruitment, training and developmentAbstract
The transformation of human resource management in the digital era has encouraged the application of Artificial Intelligence (AI) and data analytics as key pillars in the recruitment, training, and performance evaluation processes. Through a systematic literature review, this article analyses how AI and data analytics are changing HR practices from an administrative-subjective approach to a more strategic, objective, and data-driven model. In recruitment, this technology improves selection efficiency, enhances candidate quality, and reduces human bias, despite raising ethical and data privacy issues. In training and development, AI-based systems enable personalised learning, more accurate measurement of training impact, and increased employee engagement and productivity. In performance evaluation, data analytics integration supports a shift towards real-time, transparent, and measurable continuous performance management, but still requires strong AI ethics governance. This article concludes that the success of HR management transformation in the digital era depends on a combination of technological sophistication, human-centred process design, and HR professionals' capacity in data literacy and digital ethics.
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