Improving the Efficiency of Intellectualisation Processes in Enterprise Management Systems

Abstract

Modern management requires the highest level of analytics and the optimisation of business processes with a low risk of poor management decisions. These are essential since rapid changes in the financial world and the external environment can have critical effects. The direction of a company’s growth and the effectiveness of its management systems depend directly on the quality of intellectualisation. This study aims to develop a new methodology for studying the criteria and results of the intellectualisation processes to achieve the highest efficiency in company management systems. This study used sociological and empirical methods to find intellectualisation efficiency criteria. These criteria were then used to analyse the intellectualisation process in ten Russian companies. The correlation analysis method revealed a close relationship between the intellectualisation integral indicator and company performance over time. The results showed that the intellectualisation efficiency criteria are intellectualisation indicators in human resource management systems as well as computer-aided and automated management systems. In addition, it was found that company performance depends on the intellectualisation integral indicator, the human intelligence and artificial intelligence synergy, as well as on the efficiency of using artificial intelligence in business processes.

The Impacts of Payment Policy on Performance of Human Resource Market System: Agent-Based Modeling and Simulation of Growth-Oriented Firms

“…For example, Wang et al (2019) [23] created a game model between streamers and unions in the context of a sharing economy, in order to determine the optimal pay mechanisms and influence factors for unions. In addition, new technologies have been generated and applied in studying human resources, including blockchain technology [29,30], big data [31], artificial intelligence [32,33], and machine learning [34], etc. In contrast, this paper employs a bottom-up agent-based modeling and simulation approach to show the interactions between agents [35] and to study the impacts of various strategies for hiring and dismissal based on employment and corporate performance.…”