human capital, reproduction of human capital, digitalization of business processes, HR processes, HR technologies, artificial intelligence
Abstract
The article considers the potential for utilising AI-based HR technologies in the replication of an enterprise’s human capital, given that the digitalisation of business processes has been shown to markedly enhance their efficiency in the contemporary era. It has been established that the digitalisation of HR processes incorporates the utilisation of mobile applications, social networks, augmented reality, and other related technologies. The potential applications of artificial intelligence (AI) in human capital formation are explored in depth. AI-driven recruiting platforms, for instance, can scan and analyse CVs and social media profiles to identify the most suitable candidates. Similarly, AI can "read" facial features and analyse facial expressions during communication, providing additional information to inform suitability assessments. These are just a few of the tools that human resources (HR) professionals can utilise in their work today.The article considers the advantages and risks of introducing modern HR technologies based on artificial intelligence into the practice of Ukrainian enterprises. Such technologies help to personalise the hiring process, reduce time and resources, and increase efficiency in performing routine tasks and working with large amounts of data. However, the digitalisation ofHR processes places additional requirements on the qualifications of HR specialists – they must have non-specific, cross-functional competencies based on the technical characteristics of the software and its management features. In addition, the use of such technologies requires additional funds for their purchase and maintenance, which not every company can afford.Therefore, the introduction of AI-based HR technologies into the practice of reproducing human capital should be based on a thorough analysis of internal and external factors, research of the advantages and disadvantages of existing technologies, as well as industry restrictions.
Author Biography
Dmytro Kopylov, KROC University of Economics and Law of Kyiv
