Purpose: The purpose of this paper is to present an answer to the research question of what could be the real impact of an artificial manager on the work of a team consisting of humans. Design/methodology/approach: In presenting the arguments for one way of proceeding AI-based management, a review of the recent literature in the field of artificial management and artificial leadership was used. The artificial manager used in the research was the result of a non-participating, long-term observation of a group of students working on an specific task, whose activity was recorded by online management tools called TransistorsHead.com. Findings: The real impact of the artificial manager on the human team members was very weak. Although team members were taking similar managerial actions as they were told by the system of TransistorsHead.com, they mixed the order and decreased or increased a period of the managerial actions. Research limitations/implications: Human members did not feel any emotional pressure on their behaviour from the artificial manager and they do not treat the system too seriously. What is interesting, the most obedient person was the appointed assistant of the artificial manager. The rest two members did not obey the rules. Practical implications: If we manage to create an artificial manager, it will be much harder to make it effective in working with human team members. The research on team management automation will impact upon the business by giving a chance of implementing artificial management. Social implications: even if we manage to create an artificial manager, it will be much harder to make it effective in working with human team members. Originality/value: There is a new research problem of replacing a human manager with an artificial manager which has to be solved in management sciences and managerial practice in the future. This paper contains findings which are the next step in solving a new research problem of replacing a human manager with an artificial manager.
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