Health Care : Current Reviews

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

World Congress & Expo on Healthcare IT and Nursing

August 21-22, 2018 | Paris, France

Marko Kesti

University of Lapland, Finland

Keynote: Health Care Current Reviews

Abstract:

One of the most important leaders??? responsibilities is taking care of workers??? wellbeing. Wellbeing is a fundamental factor affecting customer satisfaction and work performance. Organizational changes and new technology requires 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 will format leaders??? behavior; so that there will be Nashequilibrium where staff wellbeing and business profit flourish. Evidence based studies indicate that artificial intelligence supported management game which improves management efficiency. Outcomes include improved staff wellbeing, customer quality and organization profit. According to motivation theory the human performance is a combination of self-esteem factors; therefore, single factor correlations are not reliable in determining wellbeing leading to human performance. New scientific method solves this problem ??? it is called the quality of working life (QWL) index. People management is fundamentally behavioral science that can be described by game theoretical approach. Management game theoretical description is a Strategic Stochastic Bayesian Non-symmetric Signaling game. It simulates management behavioral meaning to business performance and QWL. The tool is an 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; (4) Markov???s sequential game algorithm and (5) Artificial Intelligence assistant using Bellman advantage function.

Biography :

Marko Kesti has obtained his MSc in Engineering. He is a Doctor of Social Sciences and Adjunct Professor specialized in Human Capital Productivity. He is Research Director at Lapland University. He has created new scientifically approved theories and tools for analyzing human capital productivity. He is a member of Finnish non-fiction writers with five books and is a famous Lecturer at his specialty.

E-mail: marko.kesti@ulapland.fi