Integrating Game Theory and AI in Management Training: A Revolutionary Approach to Enhancing Leadership and Managerial Decision-Making Skills
- 1 Department of Administrative Sciences, University of Lapland, Rovaniemi, Finland
Abstract
The evolving global business landscape demands innovative management training to equip leaders with the agility and strategic insight needed for human-centric challenges. This paper presents a novel training methodology that combines Game Theory and Artificial Intelligence (AI) to enhance leadership and decision-making skills. By leveraging Game Theory, we dissect organizational decision-making processes, highlighting the interdependence of managerial practices and their impact on organizational dynamics. AI is employed to simulate complex decision-making scenarios, providing tailored feedback and strategic advice through advanced algorithms and data analytics. This integration creates an immersive learning environment where leaders can experiment and observe the consequences of their decisions in real-time, thereby refining their strategic thinking. At the core of our methodology is an AI-assisted simulation game that models a year in the life of a team leader, challenging players with real-world managerial dilemmas. Developed using the Unity 3D engine, the game incorporates evidence-based rules and an AI Assistant that offers real-time feedback to optimize decision-making for future rewards. A case study involving 122 university students and an organizational case study demonstrates significant improvements in strategic management understanding and decision-making skills. The application of this methodology in the Lapland Hospital District (LSHP) led to measurable enhancements in Quality of Work Life (QWL) and leadership perception, alongside a substantial return on investment. In conclusion, the integration of Game Theory and AI in management training offers a revolutionary approach to developing managerial skills, promising to reshape leadership training for the modern era.
- Axelrod, R. (1997). The Complexity of Cooperation: Agent-Based Models of Competition and Colla boration. Princeton University Press. https://doi.org/10.1515/9781400822300
- Bellman, R. (1957). A Markovian Decision Process. Journal of Mathematics and Mecha n ics, 6, 679-684. https://doi.org/10.1512/iumj.1957.6.56038
- Bersin, J., Geller, J., Wakefield, N., & Walsh, B. (2016). The New Organization: Different by Design. Global Human Capital Trends. https://www2.deloitte.com/us/en/insights/focus/human-capital-trends/2016/human-capital-trends-introduction.html
- Brunton, S. (2024). AI/ML + Physics Part 1: Choosing What to Model. YouTube. https://youtu.be/ARMk955pGbg?list=RDCMUCm5mt-A4w61lknZ9lCsZtBw
- Camerer, C. F. (2003). Behavioral Game Theory: Experiments in Strategic Interaction. Princeton University Press.
- Filar, J. A., & Vrieze, K. (1996). Co mpetitive Markov Decision Processes . Springer. https://doi.org/10.1007/978-1-4612-4054-9
- Fleetwood, S., & Hesketh, A. (2010). Explaining the Performance of Human Resource Management . Cambridge University Press. https://doi.org/10.1017/CBO9780511781100
- Harsanyi, J. C., & Selten, R. (1988). A General Theory of Equilibrium Selection in Games . MIT Press.
- Kesti, M. (2005 ). Tacit Signals—Key to Or ganization Development. Edita Publishing.
- Kesti, M. (2010). Strategic Hum an Capital Management . Talentum.
- Kesti, M. (2019). Architecture of Management Game for Reinforced Deep Learning. In K. Arai, S. Kapoor, & R. Bhatia (Eds.), Intelligent Systems and Applications (pp. 48-61). Springer. https://doi.org/10.1007/978-3-030-01054-6_4
- Kesti, M. (2021). The Digital Twin of an Organization by Utilizing Reinforcing Deep Learning. In P. L. Mazzeo, & P. Spagnolo (Eds.), Deep Learning Applications (pp. 37-55). IntechOpen. https://doi.org/10.5772/intechopen.96168
- Kesti, M., & Syväjärvi, A. (2015). Human Capital Production Function in Strategic Management. Technology and Investment, 6, 12-21. https://doi.org/10.4236/ti.2015.61002
- Kesti, M., Leinonen, J., & Kesti, T. (2017). The Productive Leadership Game: From Theory to Game-Based Learning. In M. Russ (Ed.), Public Sector Entrepreneurship and the I n tegration of Innovative Business Models (pp. 238-260). IGI Global. https://doi.org/10.4018/978-1-5225-2215-7.ch010