Alexandra A. Zakharova ,Sergey V. Razumnikov,




Cloudtechnologies,strategy,fuzzymodels,SWOT-analysis,decision-making, risks,information security,efficiency,methods,assessment,factors of external and internal environment of the enterprise,


The relevance of the research issues is due to the popularity of implementation of cloud technologies within enterprises. The decision on implementation becomes strategic, as it is often associated with major changes in the business processes and infrastructure of the company, the implementation of these decisions requires financial resources, and the consequences of wrong decisions can be critical to the survival of the company. The purpose of the article is to undertake a SWOT-analysis of strategic directions on the basis of fuzzy decision-making models for the formation of strategy and setting tasks in implementingthe cloud technologies. The leading approach to the study of this issue is fuzzy SWOT-analysis used to justify strategic decisions in implementing the cloud technologies. The results of practical application to develop an implementation strategy for the cloud technologies at PJSC “Rutelecom” are presented in the study. Fuzzy SWOT-analysis results enabled estimates of the importance related tosome factors of the external and internal environment, as well as their combinations, to take them into account in the formation of the strategy of cloud technology implementation. The paper discusses the main strategic directions, based on the analysis, as well as the target-setting for the next stages of development of the strategy of PJSC “Rutelecom”. The study presents the research results based on the possibility of using fuzzy SWOT-analysis to form a strategy and set tasks for the implementation of cloud technologies. The materials of the article can be useful for enterprises planning to implement cloud technologies in their activities to justify their application, reliability and value, as well as researchers in the field of strategic management, fuzzy systems and cloud technologies.


I. Amir Mohamed Elamir, NorleyzaJailani, Marini Abu Dakar. (2013). Framework and architecture for programming education environment as cloud computing service. Procedia Technology, 11, 1299-1308.
II. Ben Aissa, A., Abercrombie, R.K., Sheldon, F.T., Mili, A. (2010). Quantifying security threats and their potential impacts: a case study. Innovation in Systems and Software Engineering: A NASA Journal, 6, 269–281.
III. Bharadwaj, A; El Sawy, OA; Pavlou, PA; Venkatraman, N. (2013). Digital business strategy: toward a next generation of insights. Mis quarterly, 37 (2), 471-482.
IV. Calheiros R.N., Ranjan R., Beloglazov A., De Rose C.A.F., Buyya R. (2011). CloudSim: A toolkit for modelling and simulation of cloud computing environments and evaluation of resource provisioning algorithms. Software – Practice and Experience, 41 (1), 23-50.
V. Chernysheva T. Y. (2013). Preliminary risk assessment in it projects. Applied Mechanics and Materials. 379, 220-223.
VI. Dent, A. (2015). Aligning IT and business strategy: an Australian university case study. Journal of higher education policy and management, 37 (5), 519-533.
VII. FUZZY-SWOT-1.0.: Svidetel’stvo ob oficial’noj registracii programmy dlja JeVM № 2007610206// Zaharova A.A., Salifov S.V.; zajavitel’ i pravoobladatel’ Zaharova A.A., Salifov S.V. – № 2006613889; zajavl. 16.11.06; zaregistrirovano 09.01.07.
VIII. Garg S.K., Buyya R., Siegel H.J. (2010). Time and cost trade-off management for scheduling parallel applications on Utility Grids. Future Generation Computer Systems, 26 (8), 1344-1355.
IX. Ghassan F. Issa, Shakir M. Hussain, Hussein Al-Bahadili (2009). Economic Efficiency Analysis for Information Technology in Developing Countries. Journal of Computer Science 5 (10), 751-759.
X. Ghazinoory, S., EsmailZadeh, A. and Memariani, A. (2007). Fuzzy SWOT analysis. Journal of Intelligent and Fuzzy Systems, 18(1), 99-108.
XI. GulievYa. I., Gulieva I. F., Ryumina E. V.. (2009). Assessing the Economic Efficiency of Using Information Technologies in Medicine: World Practice. Studies on Russian Economic Development, 2009, 20 (6), 626–631.
XII. Herdiansyah, MI; Kunang, SO; Akbar, M. (2014). IT Strategy Alignment in University Using IT Balanced Scorecard Framework. Advanced science letter, 20, issue 10-12, 2038-2041.
XIII. Huang, LC; Wang, KK; Wu, FF; Lou, Y; Miao, H; Xu, YM. (2012). SWOT Analysis of Information Technology Industry in Beijing, China Using Patent Data. Computational science and its applications – ICCSA 2012, 7333, 447-461.
XIV. Jones, S (2015). Cloud computing procurement and implementation: Lessons learnt from a United Kingdom case study. International journal of information management, 35 (6), 712-716.
XV. Kim, W. (2009). Cloud computing: Today and Tomorrow. Journal of Object Technology, 8 (1), 65-72.
XVI. Kumar S., Dutta K., Mookerjee V. (2009). Maximizing business value by optimal assignment of jobs to resources in grid computing. European Journal of Operational Research, 194 (3), 856-872.
XVII. Latifa Ben ArfaRabaia, MounaJouinia, Anis Ben Aissab, Ali Mili. (2013). A cybersecurity model in cloud computing environments. Journal of King Saud University – Computer and Information Sciences, 25 (1), 63-75.

XVIII. Li, Q; Wang, C; Wu, J; Li, J; Wang, ZY. (2011). Towards the business-information technology alignment in cloud computing environment: an approach based on collaboration points and agents. International journal of computer integrated manufacturing, 24 (11), 1038-1057.
XIX. Liu, WY; Han, XH. (2010). Case Analysis of Competitive Intelligence E-commerce Website based on the SWOT. Conference on web based business management, 1-2, 625-628.
XX. Maricela-Georgiana Avram (Olaru). (2014). Advantages and challenges of adopting cloud computing from an enterprise perspective. Procedia Technology, 12, 529-534.
XXI. Marston, S., Li, Z., Bandyopadhyay, S., Zhang, J., Ghalsasi, A. (2011).Cloud computing – The business perspective. Decision Support Systems. Volume 51 (1), 176-189.
XXII. Maslov A. V. (2013). Competencies of a corporate knowledge manager. Applied Mechanics and Materials, 379, 214-219.
XXIII. Mehmood, F; Hassannezhad, M; Abbas, T. (2014). Analytical investigation of mobile NFC adaption with SWOT-AHP approach: A case of Italian Telecom. 7th International conference interdisciplinarity in engineering (inter-eng 2013), 12, 535-541.
XXIV. Mendes, JM; Leitao, P; Colombo, AW (2011). Service-oriented Computing in Manufacturing Automation: A SWOT Analysis. IEEE International Conference on Industrial Informatics (INDIN) 2011, 346-351.
XXV. Menga, ADE; Lu, J; Liu, XD. (2015). Ranking alternative strategies by SWOT analysis in the framework of the axiomatic fuzzy set theory and the ER approach. Journal of intelligent & fuzzy systems, 28 (4), 1775-1784.
XXVI. Mitsel A., Zakharova A. (2005). Primenenienechetkihlingvisticheskihmodelejprirazrabotkestrategiirazvitijamunicipal’nogoobrazovanija [Application of non-distinctive linguistic models during elaboration of the strategies for municipal education development]. Bulletin of the Tomsk Polytechnic University, 308 (4), 178-182.
XXVII. Mohammad, S. (2010). SWOT Analysis of E-Learning System in Bahraini Universities. International conference on e-education, e-business, e-management and e-learning: ic4e, proceeding, 61-65.
XXVIII. Motavaselalhagh, F. Safi Esfahani, F. Arabnia, H.R. (2015). Knowledge-based adaptable scheduler for SaaS providers in cloud computing. Human-centric Computing and Information Sciences, 5: 16

XXIX. Panahi, H; Assadzadeh, A; Taheri, K. (2013). Strategic Planning to Implement E-Commerce in Handmade Carpet: A SWOT Matrix Approach. 7th International conference on e-commerce in developing countries: with focus on e-security (ecdc).
XXX. Paul, PK; Ghose, MK (2012). Cloud Computing: possibilities, challenges and opportunities with special reference to its emerging need in the academic and working area of Information Science. International conference on modelling optimization and computing, 38, 2222-2227.
XXXI. Razumnikov S.V., Kurmanbay A.K. Models of evaluating efficiency and risks on integration of cloud-base IT-services of the machine-building enterprise: a system approach // IOP Conference Series: Materials Science and Engineering. – 2016 – Vol. 124 – №. 1, Article number 012089. – p. 1-5.
XXXII. Razumnikov S.V. (2013). Assessing efficiency of cloud-based services by the method of linear programming. Applied Mechanics and Materials, 379, 235-239.
XXXIII. Razumnikov S.V., Kremnyova M.S. (2015). Decision support system of transition IT-applications in the cloud environment. International Siberian Conference on Control and Communications (SIBCON) : proceedings, Omsk, May 21-23.
XXXIV. Razumnikov S.V., Prankevich D.A. Integrated model to assess cloud deployment effectiveness when developing an IT-strategy // IOP Conference Series: Materials Science and Engineering. – 2016 – Vol. 127 – №. 1, Article number 012018. – p. 1-5.
XXXV. Razumnikov S.V., Zakharova A.A., Kremneva M.S. (2014). A model of decision support on migration of enterprise IT-applications in the cloud environment. Applied Mechanics and Materials, 682, 600-605.
XXXVI. Reig G., Alonso J., Guitart J. (2010) Deadline constrained prediction of job resource requirements to manage high-level SLAs for SaaS cloud providers, Tech. Rep. UPC-DAC-RR, Dept. d’Arquitectura de Computadors, University Politécnica de Catalunya, Barcelona, Spain
XXXVII. Reynolds, P; Yetton, P. (2015). Aligning business and IT strategies in multi-business organization. Journal of information technology, 30 (2), 101-118.
XXXVIII. Sevkli, M; Oztekin, A; Uysal, O; Torlak, G; Turkyilmaz, A; Delen, D. (2012). Development of a fuzzy ANP based SWOT analysis for the airline industry in Turkeyю. Expert systems with applications, 39 (1), 14-24.
XXXIX. Subashini, S., Kavitha, V. (2010). A survey on security issues in service delivery models of cloud computing. Journal of Network and Computer Applications, 34 (1). 1-11
XL. Sultan, N. (2013).Knowledge management in the age of cloud computing and Web 2.0: Experiencing the power of disruptive innovations. International journal of information management, 33 (1), 160-165.
XLI. Sun, LT; Chen, G. (2011). SWOT Analysis of E-Commerce Development in Yunnan Province. Innovative computing and information, 231, 492-499.
XLII. Tan, C; Liu, KC; Sun, LL; Spence, C. (2013). An Evaluation Framework for Migrating Application to the Cloud: Software as a Service. Proceedings of 2nd conference on logistics, informatics and service science (liss 2012), vols 1 and 2.
XLIII. Wu, L., Kumar Garg, S., Buyya, R. (2012). SLA-based admission control for a Software-as-a-Service provider in Cloud computing environments. Journal of Computer and System Sciences, 78 (5), 1280-1299.
XLIV. Xuan, Z., Nattapong, W., Hao, L., Xuejie, Z. (2010). Information security risk management framework for the cloud computing environments. In: 10th IEEE International Conference on Com-puter and Information Technology (CIT 2010).
XLV. Yang, LJ. (2012). Development Strategy of the Digital Library in University Based on SWOT Analysis. Software engineering and knowledge engineering: theory and practice, 115, 893-900.
XLVI. Zakharova A. (2008). Avtomatizacija SWOT-analizaorganizacii s primeneniemnechjotkihmodelej. [Automation of SWOT analysis of the organization with the use of fuzzy models]. Avtomatizacija i sovremennye tehnologii, 3, 29-34.
XLVII. Zakharova A. Fuzzy SWOT analysis for selection of bankruptcy risk factors. Applied Mechanics and Materials,379, 207-213.
XLVIII. Zakharova A.A., Ostanin V.V. (2015). Formalization model of expert knowledge about a technical index level of engineering products. IOP Conf. Ser.: Mater. Sci. Eng. 91 012070.

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