Intellectual Support for Decisions in Modern Business Systems

Abstract

Purpose

The purpose of the chapter is to study the possibilities of systemic intellectual support for managerial decisions in modern business systems and perspectives of authomatization of this process on the basis of intellectual technologies.

Methodology

The methodology of the chapter includes the methods of systemic and problem analysis, analysis of causal connections, modeling, and formalization.

Conclusions

Advantages of usage of technologies of intellectual support for decisions in modern business systems are substantiated; they are connected to multitask character, full determination of possibilities and problems of the business system regardless of employees’ involvement in this process, and “scale effect” during making of managerial decisions. Also, drawbacks of intellectual support for decision-making in modern business systems are determined: incompleteness of authomatization of the process of making of managerial decision, foundation primarily on digital data, necessity for complex digitization of the business system, and the problem of security of digital data and intellectual technologies.

Originality/Value

Large opportunities of systemic intellectual support for managerial decisions in modern business systems and wide perspectives of almost full authomatization of this process on the basis of intellectual technologies, accessible at all stages of the process of decision-making, are determined. For this, an algorithm of complex intellectual support for decisions in a modern business system is offered. The obtained results allow determining intellectual technologies of support for managerial decisions in modern business systems as a perspective direction of improving this process.

Citation

Gashenko, I.V., Makarenko, E.N., Zima, Y.S. and Makarenko, T.V. (2019), "Intellectual Support for Decisions in Modern Business Systems", Popkova, E.G. and Chesnokova, A.V. (Ed.) The Leading Practice of Decision Making in Modern Business Systems, Emerald Publishing Limited, Leeds, pp. 99-105. https://doi.org/10.1108/978-1-83867-475-520191011