Business simulation analysis based on leadership development with crisis management using gaming techniques and machine learning model

Abstract

The reality of the modern, fast-paced business world is crisis. Instability in today’s business environment is brought on by rapid organisational change, shifting economic situations, people issues, unanticipated technological advancements, and political ramifications. The state is unable to control this instability, which manifests as economic disruptions leading to crises. In addition to harming those who have lost their employment, the crisis that is impacting our nation and every other nation in the world also affects others who are worried about losing their work. The aim of this research is to develop business intelligence simulation model with their leadership enhancement and crisis management using gaming model based on cloud network. Here the crisis management with leadership analysis is carried out using variational recurrent Boltzmann learning model (VRBL). the experimental analysis based on cloud network modelling in terms of execution time, network performance, overall complexity, data optimization, end-end delay. ML offers a more accurate and efficient prediction method than standard econometric models, making it more useful. In terms of prediction performance, the final fusion model performs better than the voting and averaging techniques.