Development of the comprehensive method to manage risks in projects related to information technologies

Authors

DOI:

https://doi.org/10.15587/1729-4061.2018.128140

Keywords:

comprehensive method, risk management, Bayesian networks, probability, expert methods, IT project

Abstract

A comprehensive method of project risk management is proposed for the field of information technologies based on the combined application of intelligent and expert methods under unstable conditions and constraints for financial and time resources. The method makes it possible to support making a decision based on the formalized technique of identification and estimation of risks, as well as the choice of the initial set of measures to avoid a risk event. This method was investigated based on the universal academic example of a project in the field of information technologies. The result of application of the comprehensive method of risk management is an improvement in the efficiency of an IT project by reducing losses in the project and overspending of financial resources.

Risk model of an IT project based on the Bayesian network is developed, which is the base of the comprehensive method. A risk model of an IT project based on the Bayesian networks makes it possible to study different scenarios of risk occurrence by the simultaneous consideration of different factors in the external environment and internal state in the IT project, as well as their casual relations. The proposed model will make it possible to represent and estimate a risk probability for all possible scenarios and, accordingly, to develop effective measures for risk elimination.

The proposed structure of the Bayesian network of an IT project risk could become a basis for the information technology of risk management in an IT project and an appropriate decision-making support system.

Author Biographies

Tatiana Prokopenko, Cherkasy state technological university Shevchenka ave., 460, Cherkasy, Ukraine, 18006

Doctor of Technical Sciences, Associate Professor

Department of information technology design

 

Oleg Grigor, Cherkasy state technological university Shevchenka ave., 460, Cherkasy, Ukraine, 18006

PhD, Associate Professor

Department of Economics and Entrepreneurship

References

  1. Prokopenko, T. O., Ladanyuk, A. P.; Kandych, S. G. (Ed.) (2015). Information technology management organizational and technological systems. Cherkasy: Vertical, 224.
  2. Peresada, A. A., Mayorova, Т. В. (2007). Project financing. Kyiv: KNEU, 767.
  3. Klyachkin, V. N. (2009). Statistical methods in quality management: computer technologies. Moscow: Finance and Statistics, 304.
  4. Babenko, S. V., Babenko, G. V. (2013). Economic-mathematical model of risk management in integrated development of the territory. Economic science today, 1, 260–270.
  5. Lisboa, P. J. G., El-Deredy, W., Vellido, A., Etchells, T., Pountney, D. C. (1997). Automatic Variable Selection and Rule Extraction Using Neural Networks. Proceedings of the 15th IMACS World Congress on Scientific Computation, Modelling and Applied Mathematics. Berlin, 461–466.
  6. Zolin, A. G., Silaeva, A. Yu. (2012). Application of neural networks in medicine. Actual problems of science, economics and education of the XXI century, 264–271.
  7. Demkin, I. V., Pertsev, D. V. (2009). Method of estimation of the integrated risk portfolio of innovative projects. Management problems, 4, 39–45.
  8. Gonchar, N. S. (2014). Dynamical Risk Model with Investment in Assets. Journal of Automation and Information Sciences, 46 (5), 15–34. doi: 10.1615/jautomatinfscien.v46.i5.20
  9. Joseph, W. (2009). Mayo Risk Management for IT Projects. Available at: http://www.isaca.org/Groups/Professional-English/risk-management/GroupDocuments/Effective_Project_Risk_Management.pdf
  10. Lambrinoudakis, C., Gritzalis, S., Hatzopoulos, P., Yannacopoulos, A. N., Katsikas, S. (2005). A formal model for pricing information systems insurance contracts. Computer Standards & Interfaces, 27 (5), 521–532. doi: 10.1016/j.csi.2005.01.010
  11. Sikora, L. S., Lisa, N. K., Tkachuk, R. L. (2016). Logiko-kognitivnaya model information identification causative relationships under the influence of active factors on the system. Modeling and Information Technology, 152–165.
  12. Onishchenko, I. I. (2016). Cognitive modeling as a method of qualitative analysis of IT projects. Bulletin of NTU "KhPI". Series: Strategic Management, Portfolio, Program and Project Management, 2, 77–81. doi: 10.20998/2413-3000.2016.1174.17
  13. Ladaniuk, A., Prokopenko, T., Reshetiuk, V. (2014). The model of strategic management of organizational and technical systems, taking into account risk-based cognitive approach. Annals of Warsaw University of Life Sciences – SGGW Agriculture (Agricultural and Forest Enginweering), 63, 97–104.
  14. Prokopenko, T. A., Lega, Yu. G., Molotilin, Yu. I. (2014). Risk management of the technological complex of the sugar factory. Izvestiya Vuzov. Food technology, 2-3, 110–112.
  15. Kiryushkin, V. E., Larionov, I. V. (2009). Fundamentals of Risk Management. Moscow: Ankil, 130.
  16. Damodaran, A. (2010). Strategic risk management. Principles and methods. Мoscow: Williams, 496.
  17. Kuntsevich, C. M. (2006). Upravlenie v yslpviyah neopredelenosti: garantirovanie rezyltati v zadachah upravleniya i identefikacii. Kyiv: Naykova dymka, 264.
  18. Bidyuk, P. I., Terentyev, O. M., Konovalyuk, M. M. (2010). Bayesovsky networks in the technologies of intellectual data analysis. Scientific papers Black Sea State University named after Petro Mohyla. Ser.: Computer technology, 134 (121), 6–16.
  19. Kosko, B. (1986). Fuzzy cognitive maps. International Journal of Man-Machine Studies, 24 (1), 65–75. doi: 10.1016/s0020-7373(86)80040-2
  20. Prokopenko, T. O. (2014). Classification of uncertainties in the management of organizational and technological objects. Technology audit and production reserves, 6 (4 (20)), 23–25. doi: 10.15587/2312-8372.2014.30336
  21. Christopher, J. A., Haller, J., Wallen, C. M., Woody, C. (2017). Assessing DoD System Acquisition Supply Chain Risk Management. Operations and Maintenance, 4–8.

Downloads

Published

2018-04-10

How to Cite

Prokopenko, T., & Grigor, O. (2018). Development of the comprehensive method to manage risks in projects related to information technologies. Eastern-European Journal of Enterprise Technologies, 2(3 (92), 37–43. https://doi.org/10.15587/1729-4061.2018.128140

Issue

Section

Control processes