ABSTRACT. This paper discusses how generative AI is reshaping the concept of HR operations, recruitment, and employee experience, and examines its implications for the future of workforce management. HR processes and decision-making can now be optimized through AI-powered systems, including generative AI, which can develop new forms of content or solutions based on data patterns. In the case of recruitment, generative AI makes it possible to automate the screening of candidates and the subsequent step of shortlisting candidates for interviews. In human resource management processes, generative AI is empowering areas such as performance management, learning and development, and employee retention strategies. AI systems can process employee performance data, suggest appropriate areas for growth, and create personalized development plans that nurture self-improvement. Generative AI also helps develop tailored, self-paced learning modules that fit employees’ career goals to increase job satisfaction and retention. In addition, AI tools can analyse historical data and employee sentiment to predict a risk of turnover, so HR teams can resolve potential issues before it’s too late. Redesign of employee experience is another key domain that can benefit from the generative AI revolution.
JEL codes: E24; J21; J54; J64

Keywords: generative AI; workforce management; talent acquisition; employee experience; human resource operations; predictive analytics

How to cite: Nica, E., Szpilko, D., Stamule, S., and Marica, M. E. (2024). “Next-Generation Workforce Management Solutions: Utilizing Generative AI to Transform Human Resource Operations, Talent Acquisition, and Employee Experience in the Digital Age,” Psychosociological Issues in Human Resource Management 12(1): 50–77. doi: 10.22381/pihrm12120243.

Received 14 January 2024 • Received in revised form 16 May 2024
Accepted 23 May 2024 • Available online 25 May 2024