AI as a subject of staff: Management and team-building

Abstract

Purpose: The purpose of the work is to develop the scientific and methodological provision of AI management as a subject of the staff. Design/methodology/approach: The research is performed at the theoretical level of the economic science with application of the methods of scientific abstraction and modeling of socio-economic processes and systems. The authors also develop their own methodology of evaluating the effectiveness of AI management as a subject of the staff. Findings: The authors develop a conceptual model of AI management as a subject of the staff. Criteria of evaluating the effectiveness of AI management as a subject of the staff are developed. The algorithm of optimization of AI management as a subject of the staff according to the criterion of effectiveness is offered. Originality/value: It is substantiated that AI could be a full member of the staff, but it requires specialized and flexible management. Each company should select an optimal variant of AI usage: during individual work or team work, by the conditions of limitation or expansion of its usage. AI management is different, depending on its usage during the individual work or in a team with the company’s employees. Authors’ recommendations are offered for both directions of AI management.