Decision support methods in balanced ScoreCard

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Authors:

A.I. Urintsov, Dr. Sci. (Econ.), Professor, Moscow State University of Economics, Statistics and Informatics (MESI), Moscow, Russia

V.V. Dik, Dr. Sci. (Econ.), Professor, Synergy University, Moscow, Russia

B.Ye. Odintsov, Dr. Sci. (Econ.), Professor, Financial University under the Government of the Russian Federation Moscow, Russia

Ye. Yu. Churikanova, Cand. Sci. (Econ.), State Higher Educational Institution “National Mining University”, Senior Lecturar of the Department of Economic Сybernetics and Informational Technologies, Dnipropetrovsk, Ukraine

Abstract:

Purpose. Development of the method of KPI tree transformation into the decision tree to be used in BSC.

Methodology. Creating mathematical model of inverse calculations to achieve the above purpose.

Findings. Mathematical tool of the inverse computation to transform the tree of KPI indicators in the decision tree for application was developed. The Balanced ScoreCard concept appeared 15 years ago. But even now many companies face a great amount of problems during its implementation due to unavailability of clear methods and tools. There is a list of problems that appears during the implementation process: suitable performance indicators definition and calculation methods, connection of indicators in different management levels, decision preparation based on the hierarchy of goals, intuition influence on the decision-making process, decision-making support systems design and so on. To solve this problem an enterprise should develop new formalized methods and tools and find new indicators that can be decomposed easily and utilized in the decision-making process.

Originality. For the first time the method of inverse calculations was adapted for extending functionality of ballanced scorecard.

Practical value. The method shown in this paper can be used independently, without the formation of cards, within the BSC framework. This method allows improving such class of enterprise information systems as Business Performance Management.

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