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2022 | z. 162 Contemporary Management | 153--165
Tytuł artykułu

Impact of Artificial Management on the Work of a Team of Humans. Result of Research

Warianty tytułu
Języki publikacji
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 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, 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.(original abstract)
  • Jan Kochanowski University of Kielce
  • 1. Ale Ebrahim, N., Ahmed, S., ad Taha, Z. (2009). Virtual teams: A literature review. Australian journal of basic and applied sciences, 3(3), 2653-2669.
  • 2. Antonescu, M. (2018). Are Business Leaders Prepared to Handle the Upcoming Revolution in Business Artificial Intelligence? Quality-Access To Success, Vol. 19, Iss. 5, pp. 15-19.
  • 3. Brendel, A.B., Mirbabaie, M., Lembcke, T.-B., Hofeditz, L. (2021). Ethical Management of Artificial Intelligence. Sustainability, Vol. 13, Iss. 4, pp. 1-18.
  • 4. Chen, J.Q. (2019). Who Should Be the Boss? Machines or a Human? In: P. Griffiths, M.N. Kabir (Eds.), Proceedings of the European Conference on the Impact of Artificial Intelligence and Robotics (ECIAIR) (pp. 71-79).
  • 5. Courtney, J.F. (2001). Decision making and knowledge management in inquiring organizations: Toward a new decision-making paradigm for DSS. Decision Support Systems, Vol. 31, pp. 17-38.
  • 6. Derrick, D.C., Elson, J.S. (2018). Automated Leadership: Influence from Embodied Agents. In: F. Nah, B.S. Xiao (Eds.), HCI in Business, Government, And Organizations (pp. 51-66). Book Series: Lecture Notes in Computer Science, 10923.
  • 7. Drucker, P.F. (1967). The Manager and the Moron. McKinsey Quarterly, December, Retrieved from: the-manager-and-the-moron.
  • 8. Dzieza, J. (2020). How hard will the robots make us work? Retrieved from:
  • 9. Engerer, V.P. (2019). Information Systems in Interdisciplinary Research: Analytic and Holistic Ways to Access Information Science Knowledge. Journal of Information Science Theory and Practice, Vol. 7, Iss. 2, pp. 6-22.
  • 10. Feitosa, J., Salas, E. (2020). Today's virtual teams: Adapting lessons learned to the pandemic context. Organizational Dynamics, Vol. 7, pp. 1-4.
  • 11. Flak, O. (2017). Methodological Foundations of Online Management Tools as Research Tools. Proceedings of the 16th European Conference on Research Methodology for Business and Management Studies ECRM2017, K. Lawlor, A.P. Buckley (Eds.), pp. 113-121.
  • 12. Flak, O. (2021). Knowledge Acquisition on Team Management Aimed at Automation with Use of the System of Organizational Terms. Proceedings of the 10th International Conference on Pattern Recognition Applications and Methods ICPRAM. M. De Marsico, G.S. di Baja, A. Fred (Eds.), pp. 302-311.
  • 13. Flak, O., Hoffmann-Burdzińska, K., Yang, C. (2018). Team Managers Representation and Classification Method based on the System of Organizational Terms. Results of the Research. Journal of Advanced Management Science, Vol. 6, Iss. 1, pp. 13-21.
  • 14. Franken, S., Wattenberg, M. (2019). The Impact of AI on Employment and Organisation in the Industrial Working Environment of the Future. Proceedings of the European Conference on the Impact of Artificial Intelligence and Robotics (ECIAIR). P. Griffiths, M.N. Kabir (Eds.), pp. 141-148.
  • 15. Gassmann, O., Von Zedtwitz, M. (2003). Trends and determinants of managing virtual RandD teams. RandD Management, Vol. 33, Iss. 3, pp. 243-262.
  • 16. Geisler, E. (1986). Artificial Management And The Artificial Manager. Business Horizons, Vol. 29, Iss. 4, pp. 7-21.
  • 17. Gigerenzer, G., Gaissmaier, W. (2011). Heuristic decision making. Annual Review of Psychology, Vol. 62, pp. 451-482.
  • 18. Khan, T.N. (2020). 69% Of Managers' Work To Be Completely Automated By 2024: Gartner. Retrieved from:
  • 19. Kozlowski, S.W.J., Chao, G.T. (2018). Unpacking team process dynamics and emergent phenomena: Challenges, conceptual advances, and innovative methods. American Psychologist, Vol. 73, Iss. 4, pp. 576-592.
  • 20. Kożusznik, B., Pollak, A., Chrupała-Pniak, M. (2020). Zespół pracowniczy. In: B. Roznowski, P. Fortuna (Eds.), Psychologia biznesu (pp. 349-366). Warszawa: PWN.
  • 21. Liu, J., Chang, H., Forrest, J., Yang, B. (2020). Influence of artificial intelligence on technological innovation: Evidence from the panel data of China's manufacturing sectors. Technological Forecasting and Social Change, Vol. 158, 120142.
  • 22. Mathieu, J.E., Hollenbeck, J.R., van Knippebberg, D., Ilgen, R. (2017). A century of work teams in the Journal of Applied Psychology. Journal of Applied Psychology, Vol. 102, pp. 452-467.
  • 23. McAfee, A., Brynjolfsson, E. (2016). Human work in the robotic future: Policy for the age of automation. Foreign Affairs, Vol. 95, Iss. 4, pp. 139-150.
  • 24. Meng, H., Weifeng, L., Bowen, D. (2020). The Influence Mechanism of Authentic Leadership in Artificial Intelligence Team. Journal of Physics, Vol. 1438, pp. 1-7.
  • 25. Mitroff, I.I., Linstone, H.A. (1993). The unbounded mind: Breaking the chains of traditional business thinking. New York, NY: Oxford University Press.
  • 26. O'Neill, T.A., Salas, E. (2018). Creating high performance teamwork in organizations. Human Resource Management Review, Vol. 28, Iss. 4, pp. 325-331.
  • 27. Peifer, Y., Jeske, T., Hille, S. (2022). Artificial Intelligence and its Impact on Leaders and Leadership. Procedia Computer Science, Vol. 200, pp. 1024-1030.
  • 28. Sinar, E., Paese, M. (2016). The new leader profile. Training Magazine, Vol. 46, pp. 46-50.
  • 29. Smith, A.M., Green, M. (2018). Artificial Intelligence and the Role of Leadership. Journal of Leadership Studies, Vol. 12, Iss. 3, pp. 85-87.
  • 30. Teddy-Ang, S., Toh, A. (2020). AI Singapore Empowering a Smart Nation. Communications Of The ACM, Vol. 63, Iss. 4, pp. 60-63.
  • 31. van der Vecht, B., van Diggelen, J., Peeters, M., Barnhoorn, J., van der Waa, J. (2018). Social Artificial Intelligence Layer for Human-Machine Teaming. In: Y. Demazeau, J. Bajo, A.F. Caballero (Eds.), Advances in Practical Applications of Agents, Multi-Agent Systems, and Complexity (pp. 262-274). Lecture Notes in Artificial Intelligence, Vol. 10978.
  • 32. Waizenegger, L., McKenna, B., Cai, W.J., Bendz, T. (2020). An affordance perspective of team collaboration and enforced working from home during COVID-19. European Journal of Information Systems, 29(4), pp. 429-442.
  • 33. Webber, S.S., Detjen, J., MacLean, T.L., and Thomas, D. (2019). Team challenges: Is artificial intelligence the solution? Business Horizons, Vol. 62, Iss. 6, pp. 741-750.
  • 34. Xiong, Y., Xia, S., Wang, X. (2020). Artificial intelligence and business applications, an introduction. International Journal of Technology Management, Vol. 83, Iss. 1-2, pp. 1-7.
  • 35. Yang, C., Flak, O., Grzegorzek, M. (2018). Representation and Matching of Team Managers: An Experimental Research. IEEE Transactions on Computational Social Systems, Vol. 5, Iss. 2, pp. 311-323.
  • 36. Zimmermanna, A., Schmidtb, R., Sandkuhlc, K., Jugela, D. (2019). Intelligent Decision Management for Architecting Service-Dominant Digital Products. Procedia Computer Science, Vol. 159, pp. 2120-2129.
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