Human resource management efficiency in an organization using artificial intelligence
Zhenlong Duan, Postgraduate student. Ural Federal University named after the first
President of Russia B. N. Yeltsin
Elena G. Kalabina, Dr. Sc. (Econ.), Professor. Ural Federal University named after the first
President of Russia B. N. Yeltsin; Ural State University of Economics
Irina N. Batina, Cand. Sc. (Econ.), Associate Prof. Ural Federal University named after the
first President of Russia B. N. Yeltsin
Abstract
This article proposes a model for assessing the impact of artificial intelligence on HR decision- making in hospitality industry organizations. In the context of digital transformation, intelligent technologies are actively becoming a part of HR managers' practices. However, their real impact depends not only on technical capabilities but also on the employees' willingness to make such decisions. The purpose of the study is to model the relationships between the use of artificial intelligence, employee trust, and the effectiveness of HR decisions in human resource management systems. The proposed model examines employee trust as a mediating mechanism through which the use of artificial intelligence positively affects the effectiveness of HR processes. The empirical portion of the study is based on data from a questionnaire survey of employees of a Chinese hospitality industry organization and subsequent quantitative analysis. The results showed that the use of artificial intelligence is positively associated with both employee trust and HR management effectiveness, with employee trust acting as a statistically significant mediator. The practical significance of the study lies in the fact that the proposed model can be used in the development and evaluation of intelligently supported HR solutions in hospitality organizations.
Keywords: artificial intelligence; employee trust; human resource management efficiency; hospitality industry; HR processes.
For citation: Duan Zh., Kalabina E. G., Batina I. N. Human resource management efficiency in an organization using artificial intelligence. Digital Models and Solutions. 2026. Vol. 5, no. 2, pp. 100–115. DOI: 10.29141/2949-477X-2026-5-2-7. EDN: ACHFKA.
