Application of Artificial Intelligence-supported Digital Talent Management Technologies: A Literature Analysis and Model Proposal

The digital transformation and artificial intelligence have changed talent management and enable companies to be more effective and agile. Technologies such as social media, talent management software, and data analytics support companies in attracting and retaining employees. However, there are also risks associated with candidate evaluation through AI-powered algorithms, such as biases. The implementation of talent management technologies requires close collaboration between HR and the IT department. Capabilities gained through digitalization deeply affect organizational structures and cultures with digital transformation and artificial intelligence applications. In such a period of development and change, it is unthinkable for human resources managements, which are accepted as a strategic partner in terms of institutional development, to stay away from these technological developments. In the literature, it is noteworthy that there are few studies on talent management practices in the context of digital transformation and artificial intelligence, especially from the perspective of human resources management.This study provides an overview of trends and challenges in talent management in the context of artificial intelligence and proposes a model for the implementation of talent management technologies. The methodology includes a literature review and the development of a process model. The aim is to support companies in the successful implementation of talent management technologies and to provide recommendations for future research areas.