Innovative Management Technologies of Decision Making in Modern Business Systems

Abstract

Purpose

The purpose of the chapter is to study the possibility of applying modern intellectual methods and technologies of decision-making for managing complex poorly structured systems.

Methodology

The methodology of the chapter includes fuzzy cognitive approach, analysis of causal connections, dynamic modeling with application of the impulse processes tools, sustainability analysis of the studied system, and scenarios analysis.

Results

The authors offer fuzzy cognitive approach to modeling the risk management system of commercial Bank POS-loaning processes. The simulated system is represented as a fuzzy-oriented weighted multigraph with a pulse action transmitted through it. The modeling process is implemented in the form of successive execution of the following stages: determining the goal, formation of fuzzy cognitive map, dynamic modeling with application of impulse processes tools, and scenarios analysis of development situation and selection the best.

Recommendations

The developed model of management system is a basis for analyzing the tendencies of various situations development that appear during work of banks in the express loaning segment. It allows forecasting and modeling the strategies of behavior as a reaction to external influences and to determine trajectories of management that allow reducing the internal risks of commercial Bank POS-loaning processes. Fuzzy cognitive approach is an effective tool for decision support during risk management in activities of a commercial bank and could be used for modeling and analysis of functioning and other poorly structured socioeconomic systems.

Citation

Shchukina, N.A. and Tarasova, I.A. (2019), "Innovative Management Technologies of Decision Making 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. 71-85. https://doi.org/10.1108/978-1-83867-475-520191009