Development of a model for decision support systems to control the process of investing in information technologies

Authors

DOI:

https://doi.org/10.15587/1729-4061.2020.194531

Keywords:

optimal investment strategies, decision support, multi-step game, software product

Abstract

A model for managing the investment process has been proposed, using an example of investing in information technologies (IT) taking into consideration that a given process is multifactorial in character. The difference between our model and those constructed previously is that, firstly, it considers the investment process as a complex structure, for which it is not enough to model it as a one-factor category. Secondly, our model is based on solving a bilinear multi-step quality play with several terminal surfaces. The solution has been derived within a new class of bilinear multi-step games that describe the interaction of objects in multidimensional space. Consideration of the investment process in such a statement provides an opportunity to adequately describe the process of finding rational strategies of players in the course of investing in information technologies. The study conducted has made it possible to implement the model’s programming code in the MATLAB simulation environment. Software product, the decision support system "IT INVESTMENT", has been developed. The mathematical core of the DSS is based on the application of a new class of bilinear differential games. The proposed solution makes it possible to find the optimal investment strategies for potential investors; its application enabled to reduce the discrepancies between forecasting data and actual return on investment, for example, in IT projects. The resulting solution has made it possible to represent graphically the sets of preferences of investors in the process of investing in IT projects, taking into consideration the multifactor character in multidimensional space. It has been shown that such an approach, combined with the application of computer simulation and DSS, would provide an investor with wider opportunities to analyze and choose rational financial strategies

Author Biographies

Valeriy Lakhno, National University of Life and Environmental Sciences of Ukraine Heroiv Oborony str., 15, Kyiv, Ukraine, 03041

Doctor of Technical Sciences, Professor

Department of Computer Systems and Networks

Volodimir Malyukov, National University of Life and Environmental Sciences of Ukraine Heroiv Oborony str., 15, Kyiv, Ukraine, 03041

Doctor of Physical and Mathematical Sciences, Associate Professor

Department of Computer Systems and Networks

Nataliia Mazur, Borys Grinchenko Kyiv University Bulvarno-Kudriavska str., 18/2, Kyiv, Ukraine, 04053

PhD

Department of Information and Cyber Security

Lidiia Kuzmenko, Institute of Telecommunications and Global Information Space of the National Academy of Sciences of Ukraine Chokolivskiy blvd., 13, Kyiv, Ukraine, 03186

Postgraduate Student

Berik Akhmetov, National Aviation University Kosmonavta Komarova ave., 1, Kyiv, Ukraine, 03058

PhD

Department of Information Technology Security

Vitalii Hrebeniuk, National Academy of Security Service of Ukraine Mykhaylo Maksymovych str., 22, Kyiv, Ukraine, 03022

Doctor of Law, Head of Scientific Laboratory

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Published

2020-02-29

How to Cite

Lakhno, V., Malyukov, V., Mazur, N., Kuzmenko, L., Akhmetov, B., & Hrebeniuk, V. (2020). Development of a model for decision support systems to control the process of investing in information technologies. Eastern-European Journal of Enterprise Technologies, 1(3 (103), 74–81. https://doi.org/10.15587/1729-4061.2020.194531

Issue

Vol. 1 No. 3 (103) (2020): Control processes

Section

Control processes

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Copyright (c) 2020 Valeriy Lakhno, Volodimir Malyukov, Nataliia Mazur, Lidiia Kuzmenko, Berik Akhmetov, Vitalii Hrebeniuk

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