Effective evaluation of cloud computing investment – application of cost benefit method analysis

Simple item page
dc.contributor.authorMarešová, Petra
dc.contributor.authorSoběslav, Vladimír
dc.contributor.otherEkonomická fakultacs
dc.date.accessioned2017-06-26
dc.date.available2017-06-26
dc.date.issued2017-06-15
dc.description.abstractUse of information and communication technologies both into enterprises and state administration is a great step towards increasing productivity and therefore, economic competitiveness. One of currently ever-spreading technologies is cloud computing. Transfer from the current infrastructure to cloud computing one is risky and expensive matter. The main question when considering cloud computing employment is the investment's effectiveness and return on investment. The aim of this contribution is to present a model and web application for cloud computing investments evaluation, which will allow customers to answer the main question whether migration from current IT infrastructure to cloud method is suitable or not. The model specifies return on investment based on chosen economic indicators as well as suitability of the solution in regard to characteristics and chosen aspects of company management. Among the main methods used during the model development are multi-criteria variant analysis, quantitative analysis by professional discussions while assembling the model, verification of the initial model with companies, its modification, and application development. The model is based on Cost Benefit Analysis method, and therefore it allows for considering qualitative variables, by which it significantly differs from the existing web calculators for cloud method cost calculations. Furthermore, the developed application is vendor independent and it is based on the following principles: requirement of inputs that take into account the specifics of companies, scalability and complexity in the form of static and dynamic economic indicators and includes sensitivity analysis and thus enables recalculate the result and based on a certain % change of input parameters.en
dc.formattext
dc.format.extent134-145 strancs
dc.identifier.doi10.15240/tul/001/2017-2-010
dc.identifier.eissn2336-5604
dc.identifier.issn1212-3609
dc.identifier.urihttps://dspace.tul.cz/handle/15240/20847
dc.language.isoen
dc.publisherTechnical university of Liberec, Czech Republicen
dc.publisherTechnická Univerzita v Libercics
dc.publisher.abbreviationTUL
dc.relation.isbasedonAssuncao, M. D., & Buyya, R. (2009). Evaluating the costbenefit of using cloud computing to extend the capacity of clusters. In Proceedings of the 18th ACM international symposium on High performance distributed computing (pp. 141-150).
dc.relation.isbasedonBoardman, A. E., Greenberg, D. H., Vining, A. R. et al. (2006). Cost-benefit analysis: concepts and Practice (3rd ed.). Upper Saddle River, NJ: Prentice Hall.
dc.relation.isbasedonBuyya, R., Yeo, C. S., Venugopal, S., Broberg, J., & Brandic, I. (2009). Cloud computing and emerging IT platforms: vision, hype, and reality for delivering computing as the 5th utility. Journal on Future Generation Computer Systems, 25(6), 599-616. doi:10.1016/j.future.2008.12.001.
dc.relation.isbasedonDedrick, J., Gurbaxani, V., & Kraemer, K. L. (2003). Information technology and economic performance: a critical review of the empirical evidence. Computing Surveys, 35(1), 1-28. doi:10.1145/641865.641866.
dc.relation.isbasedonFreedson, P. S., Lyden, K., Kozey-Keadle, S., & Staudenmayer, J. (2011). Evaluation of artificial neural network algorithms for predicting METs and activity type from accelerometer data: Validation on an independent sample. J. Appl. Physiol., 111(6), 1804-1812. doi:10.1152/japplphysiol.00309.2011.
dc.relation.isbasedonGartner. (2016). Gartner Predict Cloud Computing Spending to Increase by 100% in 2016. In Says AppsCare. Retrieved September 8, 2016, from http://www.prweb.com/releases/2012/7/prweb9711167.htm.
dc.relation.isbasedonHoralek, J., Sobeslav, V., & Pavlik, J. (2014). Statistic and analysis of service availability in cloud computing. In IDEAS’14 (pp. 310-313). Porto: Byte Press.
dc.relation.isbasedonJuran, J. (1999). Juran’s Quality Handbook (5th ed.). New York: McGraw-Hill.
dc.relation.isbasedonJureta, I. et al. (2009). A comprehensive quality model for service-oriented systems. Software Qual. Journal, 17(1), 65-98. doi:10.1007/s11219-008-9059-2.
dc.relation.isbasedonKačerauskas, T. (2015). Technologies in creative economy and creative society. Technological and Economic Development of Economy, 21(6), 855-868. doi:10.3846/20294913.2015.1036325.
dc.relation.isbasedonKalepu, S., Krishnaswamy, S., Loke, S. W. (2003). Verity: a QoS metric for selecting Web services and providers. Web Information Systems Engineering Workshops, 131-139. doi:10.1109/WISEW.2003.1286795.
dc.relation.isbasedonKornevs, M., Minkevica, V. & Holm, M. (2013). Cloud computing evaluation based on financial metrics. Information Technology and Management Science, 15(1), 87-92. doi:10.2478/v10313-012-0013-8.
dc.relation.isbasedonKozel, T., & Mohelská, H. (2010). Modely firem s mobilně orientovanou architekturou. E&M Ekonomie a Management, 13(4), 135-142.
dc.relation.isbasedonKumar, K., Lu, Y. (2010). Cloud computing for mobile users: can offloading computation save energy. IEEE Computer Society, 43(4). doi:10.1109/MC.2010.98.
dc.relation.isbasedonMei, L. (2008). A tale of clouds: Paradigm comparisons and some thoughts on research issues. Asia-Pacific Services Computing Conference, 2008. APSCC '08 (pp. 464-469). Washington D.C.: IEEE. doi:10.1109/APSCC.2008.168.
dc.relation.isbasedonMaresova, P., & Halek, V. (2015). Deployment of Cloud Computing in Small and Medium Sized Enterprises in The Czech Republic. E&M Ekonomie a Management, 17(4), 159-173. doi:10.15240/tul/001/2014-4-012.
dc.relation.isbasedonMaresova, P., & Klimova, B. (2015). Investment Evaluation of Cloud Computing in the European Business Sector. Applied Economics, 47(36), 3907-3920. doi:10.1080/00036846.2015.1019041.
dc.relation.isbasedonMarešová, P., Soběslav, V., & Krejcar, K. (2016). Cost Benefit Analysis - Evaluation Model of Cloud Computing Deployment for Use in Companies. Applied Economics, 49(6), 521-533. doi:10.1080/00036846.2016.1200188.
dc.relation.isbasedonMarks, E. A., & Lozano, B. (2010). Executive’s Guide to Cloud Computing. New Jersey: John Wiley & Sons: Inc.
dc.relation.isbasedonMarston, S., Bandyopadhyay, S., Zhang, A., & Ghalsasi, A. (2011). Cloud Computing – The business perspective. Decision Support Systems, 51(1), 176-189. doi:10.1016/j.dss.2010.12.006.
dc.relation.isbasedonMartens, B., Walterbusch, M., Teuteberg, F. (2012). Costing of Cloud Computing Services: A Total Cost of Ownership Approach. In Proceedings of the 45th Hawaii International Conference on System Sciences (pp 1563-1572). Maui, Hawaii.
dc.relation.isbasedonMell, P., & Grance, T. (2009). The NIST Definition of Cloud Computing. National Institute of Standards and Technology, Information Technology Laboratory. Retrieved from https://www.nist.gov/sites/default/files/documents/itl/cloud/cloud-def-v15.pdf.
dc.relation.isbasedonMohelska, H., & Sokolova, M. (2014). Effectiveness of using e-learning for business disciplines: the case of introductory management course. E&M Ekonomie a Management, 17(1), 82-92. doi:10.15240/tul/001/2014-1-007.
dc.relation.isbasedonMolnár, Z., & Střelka, J. (2012). Competitive intelligence v malých a středních podnicích. E&M Ekonomie a Management, 15(3), 156-170.
dc.relation.isbasedonNas, T. F. (1996). Cost-Benefit Analysis. Theory and Application. Thousand Oaks, CA: SAGE Publications.
dc.relation.isbasedonNie, G., E. X., & Chen, D. (2012). Research on Service Level Agreement in Cloud Computing. In Advances in Electric and Electronics (pp. 39-43). Berlin, Heidelberg: Springer.
dc.relation.isbasedonNiebel, T. (2014). ICT and Economic Growth – Comparing Developing, Emerging and Developed Countries ZEW [Centre for European Economic Research Discussion Paper No. 14-117]. doi:10.2139/ssrn.2560771.
dc.relation.isbasedonÖzkir, S. B. (2012). Analysis of SaaS and On Premise ICT solutions for SMEs in Turkey. Graduate School of Social Sciences Department of Business Administration. Retrieved from: https://pdfs.semanticscholar.org/fdff/387bbc0da9229f4c0d44354b9fa1b3f0861e.pdf.
dc.relation.isbasedonRittinghouse, J. W., & Ransome, J. F. (2005). Business continuity and disaster recovery for infosec managers. Boston: Elsevier.
dc.relation.isbasedonSkilton, M. (2010). Building Return on Investment from Cloud Computing. The Open Group. Retreived from http://www.opengroup.org/cloud/ /whitepapers/ccroi/index.htm.
dc.relation.isbasedonSobeslav, V., Maresova, P., Krejcar, O., Franca, T. C., & Kuca, K. (2016). Use of cloud computing in biomedicine. J Biomol Struct Dyn, 34(12), 2688-2697. doi:10.1080/07391102.2015.1127182.
dc.relation.isbasedonSvenningsen, K. (1998). An evaluation model for electronic resources utilizing cost analysis. The Bottom Line, 11(1), 18-23. doi:10.1108/08880459810369209.
dc.relation.isbasedonVelte, A. T., Velte, T., J., & Elsenpeter, R. (2010). Cloud Computing: A Practical Approach. McGraw-Hill Companies.
dc.relation.isbasedonVoříšek, J., Pour, J., & Buchalcevová, P. (2015). Management of Business Informatics Model – Principles and Practices. E&M Ekonomie a Management, 18(3), 160-173. doi:10.15240/tul/001/2015-3-014.
dc.relation.isbasedonWatson, R. T., Kelly, G. G., Galliers, R. D. & Brancheau, J. C. (1997). Key IS Issues in Information Systems Management: An International Perspective. Journal of Management Information Systems. 13(4), 91-115. doi:10.1080/07421222.1997.11518144.
dc.relation.isbasedonZhang, S., Zhang, S., Chen, X., & Huo, X. (2010). Cloud Computing Research and Development Trend. In 2010 Second International Conference on Future Networks (pp. 93-97). Sanya, Hainan, China: IEEE. doi:10.1109/ICFN.2010.58.
dc.relation.ispartofEkonomie a Managementcs
dc.relation.ispartofEconomics and Managementen
dc.relation.isrefereedtrue
dc.rightsCC BY-NC
dc.subjectinvestmenten
dc.subjectcloud computingen
dc.subjectcost benefit analysisen
dc.subjectcalculatoren
dc.subject.classificationM15
dc.subject.classificationM21
dc.titleEffective evaluation of cloud computing investment – application of cost benefit method analysisen
dc.typeArticleen
local.accessopen
local.citation.epage145
local.citation.spage133
local.facultyFaculty of Economics
local.fulltextyes
local.relation.abbreviationE+Mcs
local.relation.abbreviationE&Men
local.relation.issue2
local.relation.volume20
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
EM_2_2017_10.pdf
Size:
964.65 KB
Format:
Adobe Portable Document Format
Description:
Článek
Download
Collections
Číslo 2