Economic Bulletin of the National Mining University

 

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Issue:2025 №1 (89)
Section:Economics of enterprise
UDK:004.738.5:005.51
DOI:https://doi.org/10.33271/ebdut/89.196
Article language:Ukrainian
Pages:196-208
Title:Swot analysis of cloud technologies as a prerequisite for decision on their implementation
Authors:Ligonenko L. O., Kyiv National Economic University named after Vadym Hetman,
Terpylo D. A., Kyiv National Economic University named after Vadym Hetman
Annotation:Methods. The study was based on the use of the scientific systematization method to define the essence and characteristics of SWOT analysis as a strategic planning tool; the systematic approach to distinguish the components of cloud technology implementation assessment (strengths, weaknesses, opportunities, threats); and the structural-functional analysis to determine the role of current and future factors influencing the efficiency of cloud solutions adoption by enterprises. A traditional SWOT analysis was adapted to the specifics of cloud technology implementation, with the evaluation dimensions including time factors (current and future impact) and nature of influence (positive and negative). Results. The article summarizes the assessments of the scientific and business communities regarding the feasibility of cloud technology implementation in enterprises under conditions of digitalization and global technological transformations. The key internal and external factors influencing the decision to adopt cloud solutions were analyzed, including resource savings, flexibility, and scalability as strengths, as well as internet dependency, security concerns, and limited control as weaknesses. Opportunities such as integration with innovative technologies (AI, IoT, Big Data) and access to new markets were identified, along with threats such as competition, cybersecurity risks, and regulatory changes. The author proposes a modified SWOT analysis that differentiates between current (strengths and weaknesses) and future (potential and threats) impacts of cloud technologies, contributing to a clearer understanding of short-term and long-term perspectives. The importance of evaluating current benefits (e.g., cost savings, increased productivity) and risks (vendor dependency, adaptation costs), as well as forecasting future potential (rapid scaling, technological evolution) and threats (technology obsolescence, rising cyber risks), is substantiated. Recommendations are provided on how to utilize the analysis results for developing cloud technology implementation strategies, including cost optimization, data security enhancement, and regulatory compliance preparedness. Novelty. The novelty of the research lies in identifying the key features of the modified SWOT analysis for cloud technology assessment, particularly its adaptability to the time dimension (current and future impact), practical orientation toward managerial decision-making, and comprehensive approach to evaluating technological innovations. The principles of SWOT analysis modification are formulated, including a clear distinction between short-term and long-term effects, a focus on potential and risk forecasting, and the integration of technological and organizational aspects. Practical value is that the proposed modified SWOT analysis enables enterprises to systematize the assessment of cloud technology implementation feasibility, facilitating their adaptation to the digital economy, improving business process efficiency, and creating prerequisites for sustainable development. The research findings can be used to develop cloud adoption strategies, optimize IT infrastructure, manage risks, and plan investments in technological innovations. 
Keywords:SWOT-analysis, Cloud technologies, Strategic planning, Digitalization, Innovation, Competitiveness, Sustainable development, Managerial decisions on implementation
File of the article:EV20251_196-208.pdf
Literature:
  • 1. Helms, M.M., & Nixon, J. (2010). Exploring SWOT analysis-where are we now? A review of academ- ic research from the last decade. Journal of Strategy and Management, 3(3), 215-251. https://doi.org/10.1108/17554251011064837
  • 2. Ghazinoory, S., Abdi, M., & Azadegan-Mehr, M. (2011). SWOT methodology: A state of the art review for the past, a framework for the future. Journal of Business Economics and Management, 12(1), 24-48. https://doi.org/10.3846/16111699.2011.555358
  • 3. Pickton, D. W., & Wright, S. (1998). What's swot in strategic analysis? Strategic Change, 7(2), 101-109. https://doi.org/10.1002/(SICI)1099-1697(199803/04)7:2<101::AID-JSC332>3.0.CO;2-6
  • 4. Humphrey, A. (2005). SWOT Analysis for Management Consulting. SRI Alumni Newsletter, (1), 7-8.
  • 5. Menon, A., Bharadwaj, S. G., Adidam, P. T., & Edison, S. W. (1999). Antecedents and consequences of marketing strategy making: A model and a test. Journal of Marketing, 63(2), 18-40. https://doi.org/10.2307/1251943
  • 6. Pinto, J. K., & Slevin, D. P. (1988). Critical success factors in effective project implementation. Project Management Journal, 19(3), 67-72. https://doi.org/10.1002/9780470172353.ch20
  • 7. Hillson, D. (2009). Managing Risk in Projects. Routledge. https://doi.org/10.4324/9781315249865
  • 8. Zunker, V.G. (2012). Career Counseling: A Holistic Approach. Brooks/Cole.
  • 9. Brown, D. (2002). Career Information, Career Counseling, and Career Development (8th ed.). Pearson.
  • 10. Bryson, J.M. (2011). Strategic Planning for Public and Nonprofit Organizations. Jossey-Bass.
  • 11. Ebrahim, A., & Rangan, V. K. (2014). The Limits of Nonprofit Impact: A Contingency Framework for Measuring Social Performance. Nonprofit and Volun- tary Sector Quarterly, 43(5), 1-27. https://doi.org/10.2139/ssrn.1611810
  • 12. Sustainable Development Commission. (2008). Public Value and Sustainable Development: A Framework for Action.
  • 13. Jabareen, Y. (2008). A New Conceptual Framework for Sustainable Development. Environment, Development and Sustainability, 10, 179-192. https://doi.org/10.1007/s10668-006-9058-z
  • 14. Krainiuk, O.V., Buts, Yu.V., & Barbashyn, V.V. (2021). SWOT-analiz vprovadzhennia tsyfrovykh tekhnolohii dlia zabezpechennia bezpeky pratsi. Komu- nalne hospodarstvo mist, (163), 45-52. DOI 10.33042/2522-1809-2021-3-163-234-238
  • 15. Sharma, R., Rahman, Z., Jain, R., & Chopra, S. (2021). Digital Transformation in Business: Challeng- es and Opportunities. Journal of Business Research, 123, 1-10.
  • 16. Armbrust, M., Fox, A., Griffith, R., Joseph, A. D., Katz, R., Konwinski, A., & Zaharia, M. (2010). A view of cloud computing. Communications of the ACM, 53(4), 50-58. https://doi.org/10.1145/1721654.1721672
  • 17. Mell, P., & Grance, T. (2011). The NIST defini- tion of cloud computing (NIST Special Publication 800-145). National Institute of Standards and Technology. https://nvlpubs.nist.gov/nistpubs/legacy/sp/nistspecialpub lication800-145.pdf
  • 18. Vaquero, L. M., Rodero-Merino, L., Caceres, J., & Lindner, M. (2008). A break in the clouds: towards a cloud definition. ACM SIGCOMM Computer Commu- nication Review, 39(1), 50-55. https://doi.org/10.1145/1496091.1496100
  • 19. Reese, G. (2009). Cloud application architec- tures: Building applications and infrastructure in the cloud. O'Reilly Media, Inc.
  • 20. Bernstein, D. (2014). Containers and cloud: From LXC to Docker to Kubernetes. IEEE Cloud Com- puting, 1(3), 81-84. https://doi.org/10.1109/MCC.2014.51
  • 21. Baldini, I., Castro, P., Chang, K., Cheng, P., Fink, S., Ishakian, V., & Suter, P. (2017). Serverless computing: Current trends and open problems. In Re- search Advances in Cloud Computing (pp. 325-346). https://doi.org/10.1007/978-981-10-5026-8_1
  • 22. Ray, P. P. (2018). A survey on Internet of Things architectures. Journal of King Saud University- Computer and Information Sciences, 30(3), 291-319. https://doi.org/10.1016/j.jksuci.2016.10.003
  • 23. Kshetri, N. (2013). Privacy and security issues in cloud computing. Computer, 46(8), 24-30. https://doi.org/10.1016/j.telpol.2012.04.011
  • 24. Cook, J. (2014). All The Different Ways That 'iCloud' Naked Celebrity Photo Leak Might Have Hap- pened. Business Insider. Retrieved March 17, 2025, from https://www.businessinsider.com/icloud-naked-celebrity- photo-leak-2014-9
  • 25. Zhang, Q., Cheng, L., & Boutaba, R. (2010). Cloud computing: state-of-the-art and research challeng- es. Journal of Internet Services and Applications, 1(1), 7-18. https://doi.org/10.1007/s13174-010-0007-6
  • 26. Le, D.N., Kumar, R., Nguyen, G.N., & Chat- terjee, J.M. (2018). Cloud computing and its emerging applications: A comprehensive study and future direc- tions. Future Generation Computer Systems, 86, 1044-1059.
  • 27. Garg, S. K., Versteeg, S., & Buyya, R. (2013). A framework for ranking of cloud computing services. Future Generation Computer Systems, 29(4), 1012-1023. https://doi.org/10.1016/j.future.2012.06.006
  • 28. Erl, T., Puttini, R., & Mahmood, Z. (2013). Cloud computing: concepts, technology & architecture. Pearson Education.
  • 29. Rimal, B. P., Choi, E., & Lumb, I. (2009). A taxonomy and survey of cloud computing systems. In 2009 Fifth International Joint Conference on INC, IMS and IDC (pp. 44-51). IEEE. https://doi.org/10.1109/NCM.2009.218
  • 30. Foster, I., Zhao, Y., Raicu, I., & Lu, S. (2008). Cloud computing and grid computing 360-degree com- pared. In 2008 Grid Computing Environments Workshop (pp. 1-10). IEEE. https://doi.org/10.1109/GCE.2008.4738445
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