The Impact of Emerging Technologies on Human Resource Management: A Review of the Literature

Technology has revolutionized Human Resource Management (HRM) and replaced the traditional HR practices for easier employment of modern solutions for workforce issues. In this study, a systematic literature review is conducted by the authors according to the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines to analyze the contribution of technology towards HRM practices. Spanning research years from 2016 to 2023, the review spans the effect of technology in key fields of HR, including recruitment, training, performance management, and staff retention. The studies observe some trends such as an increase in the use of artificial intelligence (AI) to recruit, use of learning management system todevelop staff, and the use of predictive analytics to manage performance. All these innovations have improved efficiency, accuracy, and decision-making power, which enables HR professionals to increase their strategic work. Nevertheless, there are also challenges in the study, which are privacy issues, change resistance, and biased decision-making that is enabled by technology. Despite the above challenges, integration of technology with HRM has delivered some positive outcomes in terms of employee empowerment, simplified procedures, and decision-making based on information. The study emphasizes the importance of aligning technological tools with organizational strategy in order to avail it with maximum applications in workforce management. Future studies must formulate an integrated model using the design and integration of newer technologies like blockchain and generative AI to close the existing dominant gaps in HRM. Further, effective practical methods to close the implementation gaps and facilitate ethical and equitable use of technology must be explored. This article provides useful recommendations to HR practitioners and academics on how best to use the uses of technology in framing HRM practice in terms of attendant complexities.