Improving the Efficiency of Intellectualisation Processes in Enterprise Management Systems

Author:

Kovshova Tatyana1,Trifonov Pavel2,Ramirez-Asis Edwin3

Affiliation:

1. Department of Finance and Management, Non-Profit Limited Company Manash Kozybayev North Kazakhstan University, Petropavlovsk 150000, Kazakhstan

2. Department of Management and Innovation, Financial University under the Government of the Russian Federation, Moscow 125167, Russia

3. Faculty of Business Sciences, Universidad Señor de Sipan, Chiclayo 14000, Peru

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.

Publisher

MDPI AG

Subject

Information Systems and Management,Computer Networks and Communications,Modeling and Simulation,Control and Systems Engineering,Software

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