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Marko Kesti

Marko Kesti

University of Lapland, Faculty of Applied Sciences, Finland

Title: Artificial intelligence supported leadership learning game for improving wellbeing, customer quality and business productivity


Biography: Marko Kesti


One of the most important leaders’ responsibility is taking care of workers’ wellbeing. Wellbeing is fundamental factor affecting to customer satisfaction and work performance. Organizational changes and new technology require more from people management. Otherwise, work performance declines, mistakes arise and absence increase - causing costs and customer complaints. New game theoretical approach and digital technology enables sophisticated methodology and scalable tool to foster leadership competence in continuous change. Practice-based learning format leaders’ behavior so that there will be Nash-equilibrium where staff wellbeing and business profit flourish. Evidence-based studies indicate that artificial intelligence supported management game improves management efficiency. Outcome will be improved staff wellbeing, customer quality and organization profit.

According motivation theory the human performance is combination of self-esteem factors; therefore, single factor correlations are not reliable in determining wellbeing meaning to human performance. New scientific method solves this problem – it is called the Quality of Working Life index (QWL). People management is fundamentally behavioral science that can be described by game theoretical approach. Management game theoretical description is Strategic Stochastic Bayesian Non-symmetric Signaling game. It simulates management behavioral meaning to business performance and QWL. The tool is actual digital game where player implements leadership practices in solving workplace problems and improving team QWL. Management game theory is based on following main theories: 1) Human Capital Production Function, 2) Quality of Working Life index, 3) Bayesian game theorem, and 4) Markov’s sequential game algorithm and 5) Artificial Intelligence assistant using Bellman advantage function.