Improving the efficiency of working with the staff of a geological organization based on artificial intelligence


Timoshkin V.M., Dadykin V.S., Dadykina O. V., Nikolaenko E.P.

Abstract. Nowadays, managing any business sector is becoming increasingly complex and requires increasingly precise and predictable decisions. One of the most pressing issues has always been and remains HR. Effective HR management plays a vital role in any organization. In the era of digital transformation, systems, methods, and programs designed to address HR issues are being actively developed. However, to address HR issues, management must manage a large amount of information, which is quite difficult to objectively evaluate. For example, quantitatively assessing the skills, knowledge, abilities, and social status of a colleague within a team is extremely difficult. This article investigates an information system used to improve the economic efficiency of an enterprise`s HR management. This information system not only analyzes the current state of an organization`s HR potential but also generates recommendations on the need for measures to enhance the enterprise`s HR potential. The object of this work is an information system used for managing an enterprise`s HR potential based on artificial intelligence. Keywords: ontology, human resources, artificial intelligence, efficiency improvement. Hightlightts: - to manage an organization`s human resources, it is necessary to combine various methods of objective and subjective assessment, including the 360-degree assessment method and expert assessment based on fuzzy logic and artificial intelligence; - the use of fuzzy logic is based on the use of an ontological model capable of identifying key entities within an organizational system and indicators that characterize these entities in terms of their interaction with other system elements; - the application of artificial intelligence to the research object is based on the use of neuro-fuzzy systems.

Vitaly M. Timoshkin, Valery S. Dadykin, Olga V. Dadykina, Elizaveta P. Nikolaenko - Bryansk State Technical University, Bryansk, Russia


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