doi: 10.17586/2226-1494-2015-15-2-305-312


MODEL OF PROVIDING WITH DEVELOPMENT STRATEGY FOR INFORMATION TECHNOLOGIES IN AN ORGANIZATION

A. A. Kuzkin, S. V. Smirnov, O. O. Basov


Read the full article  ';
Article in Russian

For citation: Kuzkin A.A., Smirnov S.V., Basov O.O. Model of providing with development strategy for information technologies in an organization. Scientific and Technical Journal of Information Technologies, Mechanics and Optics, 2015, vol.15, no. 2, pp. 305–312.

Abstract

Subject of research. The paper presents research and instructional tools for assessment of providing with the development strategy for information technologies in an organization.
Method. The corresponding assessment model is developed which takes into consideration IT-processes equilibrium according to selected efficiency factors of information technologies application.
Basic results. The model peculiarity resides in applying neuro-fuzzy approximators where the conclusion is drawn upon fuzzy logic, and membership functions are adjusted through the use of neural networks. For the adequacy testing of the suggested model, due diligence result analysis has been carried out for the IT-strategy executed in the “Navigator” group of companies at the stage of implementation and support of new technologies and production methods. Data visualization with a circle diagram is applied for the comparative evaluation of the analysis results. The chosen model adequacy is proved by the agreement between predictive assessments for IT-strategy performance targets derived by means of the fuzzy cognitive model over 12 months planning horizon and the real values of these targets upon the expiry of the given planning term.  
Practical significance. The developed model application gives the possibility to solve the problem of sustainability assessment for the process of providing the required IT-strategy realization level based upon the fuzzy cognitive map analysis and to reveal IT-objectives changing tendencies for an organization over the stated planning interval.


Keywords: linear programming, nonlinear optimization, Box method.

References
1. Gruman G. ITIL i strategiya [ITIL and strategy]. Direktor Informatsionnoi Sluzhby, 2007, no. 6.
2. Baranova O.V. Metodologicheskie podkhody k auditu informatsionnykh [Methodological approaches to audit of information systems]. Audit i Finansovyi Analiz, 2009, no. 3, pp. 204–212.
3. COBIT 5.0. Rolling Meadows, USA, IT Governance Institute, 2012, 53 p.
4. Begutova E.V. Otsenka effektivnosti realizatsii IT-strategii s ispol'zovaniem teorii nechetkikh mnozhestv [Assessment of efficiency of the IT strategy using the theory of fuzzy sets]. Vestnik Orenburgskogo Gosudarstvennogo Universiteta, 2012, no. 8, pp. 20–26.
5. Kravchenko T.K. Otsenka effektivnosti strategicheskikh reshenii sluzhby informatsionnykh tekhnologii [Assessment of strategic decisions of information technologies service]. Business Informatics, 2011, no. 4, pp. 16–23.
6. Maksimov V.I., Kornoushenko E.K. Analiticheskie osnovy primeneniya kognitivnogo podkhoda pri reshenii slabostrukturirovannykh zadach [Analytical basis for application of of the cognitive approach for solving semi-structured problems]. Trudy IPU, 1999, vol. 2, pp. 95–109.
7. Axelrod R.M. Structure of Decision: Cognitive Maps of Political Elites. Princeton University Press, 1976, 404 p.
8. Silov V.B. Prinyatie Strategicheskikh Reshenii v Nechetkoi Obstanovke [Strategic Decision-Making in a Fuzzy Environment.]. Moscow, INPRO-RES, 1995, 230 p.
9. Kornoushenko E.K., Maksimov V.I. Nelineinye kognitivnye modeli dlya resheniya zadach v slabostrukturirovannykh sistemakh [Nonlinear cognitive models for solving problems in semi-structured systems]. Trudy Mezhdunarodnoi Konferentsii po Problemam Upravleniya [Proc. Int. Conf. on the Control].
Moscow, 1999, pp. 232–234.
10. Abramova N.A. O razvitii kognitivnogo podkhoda k upravleniyu slabostrukturirovannymi ob"ektami i situatsiyami [On the development of the cognitive approach to the management of semistructured objects and situations]. Trudy VII Mezhdunarodnoi Konferentsii "Kognitivnyi Analiz i Upravlenie Razvitiem Situatsii" [Proc. VII Int. Conf. CASC'2007]. Moscow, 2007, pp. 9–15.
11. Kulinich A.A., Titova N.S. Integratsiya nechetkikh modelei dinamiki i otsenivaniya situatsii [Integration of dynamics fuzzy models and situation's estimation]. Trudy V Mezhdunarodnoi Konferentsii "Kognitivnyi Analiz i Upravlenie Razvitiem Situatsii", CASC 2005 [Proc. V. Int. Conf. CASC 2005]. Moscow, 2005, pp. 107–117.
12. Kuznetsov O.P., Kulinich A.A., Markovskii A.V. Analiz vliyanii pri upravlenii slabostrukturirovannymi situatsiyami na osnove kognitivnykh kart [Analysis of influence in the management of semi-structured situations based on cognitive maps]. In Chelovecheskii Faktor v Upravlenii [The Human Factor in Management].
Moscow, KomKniga Publ., 2006, 496 p.
13. Avdeeva Z.K., Kovriga S.V., Makarenko D.I., Maximov V.I. Kognitivnyi podkhod v upravlenii [Cognitive approach in control]. Problemy Upravleniya, 2007, no. 3, pp. 2–8.
14. Glykas M. Fuzzy Cognitive Maps: Advances in Theory, Methodologies, Tools and Applications. Springer Verlag, 2010, 200 p.
15. Kulinich A.A. Kognitivnye karty v podderzhke prinyatiya reshenii [Cognitive maps in support of decisionmaking]. Trudy Kongressa po Intellektual'nym Sistemam i Informatsionnym Tekhnologiyam "IS&IT'11" [Proc. Congress on Intelligent Systems and Information Technology, IS&IT'11]. Moscow, 2011, vol. 1, 598 p.
16. Borisov V.V., Kruglov V.V., Fedulov A.S. Nechetkie Modeli i Seti [Fuzzy Models and Networks.]. 2nd ed. Moscow, Goryachaya Liniya – Telekom Publ., 2012, 284 p.
17. Bozhenyuk A.V., Ginis L.A. Primenenie nechetkikh modelei dlya analiza slozhnykh sistem [The use of fuzzy graph models for the analysis of complex systems]. Sistemy Upravleniya i Informatsionnye Tekhnologii, 2013, no. 1.1, pp. 122–126.
18. Kosko B. Fuzzy cognitive maps. International Journal of Man-Machine Studies, 1986, vol. 24, no. 1, pp. 65– 75.
19. Brooks P. Metrics for IT Service Management. Van Haren Publ., 2006, 202 p.


Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Copyright 2001-2024 ©
Scientific and Technical Journal
of Information Technologies, Mechanics and Optics.
All rights reserved.

Яндекс.Метрика