Russian Federation
graduate student
Russian Federation
Modern trends in the development of society and the capabilities of information infrastructure require the sustainable operation of existing models for identifying conflicts among employees in an organization, as well as the use of new approaches. The research work examines certain weaknesses of existing survey methods, which can significantly reduce the quality of the model’s results. The use of artificial intelligence makes it possible to minimize the identified shortcomings of survey methods, process large volumes of information of various types, opening up new opportunities for its use in the field of personnel management. This paper examines current problems of survey methods and the good prospects of using artificial intelligence to identify conflicts between employees of an organization.
conflictology, personnel conflict management, hidden conflict, survey data, artificial intelligence
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