Improving the Efficiency of Intellectualisation Processes in Enterprise Management Systems

被引:2
|
作者
Kovshova, Tatyana [1 ]
Trifonov, Pavel [2 ]
Ramirez-Asis, Edwin [3 ]
机构
[1] Nonprofit Ltd Co Manash Kozybayev North Kazakhstan, Dept Finance & Management, Petropavlovsk 150000, Kazakhstan
[2] Financial Univ Govt Russian Federat, Dept Management & Innovat, Moscow 125167, Russia
[3] Univ Senor Sipan, Fac Business Sci, Chiclayo 14000, Peru
来源
SYSTEMS | 2023年 / 11卷 / 06期
关键词
artificial intelligence; automated control system; business process; computer-aided control system; human intelligence; synergy; human resource management system; ARTIFICIAL-INTELLIGENCE;
D O I
10.3390/systems11060266
中图分类号
C [社会科学总论];
学科分类号
03 ; 0303 ;
摘要
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.
引用
收藏
页数:24
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