References
- T. J. Kim, S. S. Hwang, S.H.Seo & D.H. Kim. (2017). Designing Cloud Computing System for Local Governments: In Pursuit of an Optimal Model Utilizing Case Study and Feasibility Study. Journal of Korean Association for Regional Information Society, 20(4), 73-96.
- J. H. Jung. (2017). An Exploratory Study for Activating Cloud Computing: Focusing on Legislative Alternatives. Journal of Korean Association for Regional Information Society, 20(12), 73-96.
- S. H. Jung & K. H. Lee. (2018). IP-CCTV Risk Decision Model Using AHP (Cloud Computing Based). Journal of The Korea Institute of Information Security & Cryptology, 28(1), 229-239. https://doi.org/10.13089/JKIISC.2018.28.1.229
- S. H. Kim. (2019). Korea Cloud Market of 3 group war. Woman Consumer. http://www.womancs.co.kr/news/articleView.html?idxno=50992.
- C. T. Jin & G. M. Rhee. (2017). The Study on IOT Security and International Crime Countermeasure Strategy. Korea Association of Police Science, 19(5), 256-278.
- Gartner. (2017). Top 10 Strategic Technology Trends for 2018. Gartner Special Report. 1-34.
- Gartner. (2018). Top 10 Strategic Technology Trends for 2019. Gartner Special Report( 2018.10).
- K. K. Seo. (2013). Factor Analysis of the Cloud Service Adoption Intension of Korean Firms: Applying the TAM and VAM. The Journal of Digital Policy & Management, 11(12), 155-160.
- S. J. Shin & S. U. Park. (2015). Understanding Individual's Switching Intentions to Cloud Computing Service: Based on the Social Exchange Theory. Korea Technology Innovation Society, 18(1), 176-203.
- D. H. Kim, J. H. Lee & Y. P. Park. (2012). A Study of Factors Affecting the Adoption of Cloud Computing. Journal of Society for e-Business Studies, 17(1), 111-136. https://doi.org/10.7838/jsebs.2012.17.1.111
- G. W. Kim, W. J. Lee & C. H. Jeon. (2010). Virtualization technology for cloud computing. KSCI Review, 18(1), 25-33.
- S. H. Kim & H. S. Park. (2018). The Relationship between Vender Dependency and Expected Benefits of Cloud Computing: The Moderating Effects of Vendor Trust and Organizational Supports. Business Administration Research, 47(5), 1021-1047.
- K. Y. Lee, S. Y. Hyoun & G. Y .Gim. (2010). The study of cloud computing service model based on service science. Journal of Korean Institute of Next Generation Computing, 6(1), 50-57. 2010.
- S. H. Park & H. S. Yang. (2014). A Study on the method of existing system migration for Cloud computing. Journal of Digital Convergence, 12(10), 271-282. https://doi.org/10.14400/JDC.2014.12.10.271
- W. Wu. (2010). Mining Significant Factors Affecting the Adoption of SaaS Using the Rough Set Approach. Journal of Systems and Software, 84(3), 435-441. https://doi.org/10.1016/j.jss.2010.11.890
- Y. T. Kim & G. C. Park. (2014). Group key management protocol adopt to cloud computing environment. Journal of Digital Convergence, 12(3), 237-242. https://doi.org/10.14400/JDC.2014.12.3.237
- M, J. Qingxiong, P. Michael & T. A. Suresh. (2005). An exploratory study into factors of service quality for application service providers. Information & Management, 42, 1067-1080. https://doi.org/10.1016/j.im.2004.11.007
- M. D. Dikaiakos, D. Katsaros, P. Mehra, G. Pallis & A. Vakali. (2009). Cloud Computing : Distributed Internet Computing for IT and Scientific Research. IEEE INTERNET COMPUTING, 10-13.
- J. H. Ra. (2011). Qualitative Study on Service Features for Cloud Computing. Journal of Digital Contents Society, 12(3), 319-327. https://doi.org/10.9728/dcs.2011.12.3.319
- C. S. Lim. (2011). SLA-based Multi-tenant Framework Design of Cloud Computing Services. Journal of Korean Instiitue of Next Generation Computing, 7(4), 38-46.
- Y. R. Shin & E. N. Huh. (2014). User-Centric Optimization of Service Price in Broker based Cloud Service Environment. Journal of KIISE, 20(8), 472-476.
- S. H. Nam, J. H. Ahn & H. D. Yang. (2013). The Effect of IT Service Outsourcing Project Risks on the Intention of Purchasing Real Options based on Transaction Cost Theory. Asia pacific journal of information systems, 23(2), 40-66.
- J. Gubbi, R. Buyya, S. Marusic & M Palaniswami.. (2013). Internet of Things (IoT) : A vision, architectural elements, and future directions. Future Generation Computer Systems, 29(7), 1645-1660. https://doi.org/10.1016/j.future.2013.01.010
- M.Armbrust et al.(2009). Above the Clouds : A Berkeley View of Cloud Computing. UC Berkeley Reliable Adaptive Distributed Systems Laboratory, 1-23.
- J. E. Kim & H. D. Yang. (2015). The Effect of Cloud Service Risks on the Intention of Purchasing Real Options: Focusing on Public Cloud Service of Small and Medium-sized Enterprises. Information Systems Review, 17(1), 117-140. https://doi.org/10.14329/isr.2014.17.1.117
- S. H. Sung. (2017). Key Management for Secure Internet of Things(IoT) Data in Cloud Computing. Journal of The Korea Institute of Information Security & Cryptology, 27(2), 353-360. https://doi.org/10.13089/JKIISC.2017.27.2.353
- J. Y. Moon. (2019). Cloud Computing Trend and Future Directions. The Korea Contents Association, 17(1), 23-26.
- J. H. Kang & H. Y. Lee. (2018). Analyzing the Technological Structure of Cloud Computing Based on Patent Information. Journal of the Korean Institute of Industrial Engineers, 44(1), 69-81. https://doi.org/10.7232/JKIIE.2018.44.1.069
- J. G. Yoon. (1996). A Comparison of 3 Statistical Technique for Evaluation MIS Sucess Factor = Application Efeects and Limitations of AHP as a Research Methodology. Journal of the Korean Operations Research and Management Science Society, 21(3), 109-124.
- O. S. Vaidya & S. S. Kumar. (2004). Analytic hierarchy process: An overview of applications. European Journal of Operational Research, 169, 1-29, https://doi.org/10.1016/j.ejor.2004.04.028