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http://dx.doi.org/10.15207/JKCS.2022.13.01.325

Analysis on Importance of Success Factors to Select for the Cloud Computing System Using AHP at Cyber Universities in Korea  

Kang, Tae-Gu (Dept. of IT Business Administration, Konyang Cyber University)
Kim, Yeong-Real (Dept. of Management Information Systems, Chungbuk National University)
Publication Information
Journal of the Korea Convergence Society / v.13, no.1, 2022 , pp. 325-340 More about this Journal
Abstract
Amid the unprecedented situation of COVID-19 around the world, online education has established itself as an essential element in the era of zero contact and the importance of various content and changes of the system that are appropriate for the era of the 4th industrial revolution has increased. Although universities are making their efforts to combine ICT technologies and design and achieve new systems, the recognition and atmosphere for establishing the cloud computing system are falling short. The purpose of this research importance of success factors of "Building a cloud computing system of cyber university in Korea" by classifying the work characteristics and scale, and to derive and analyze the importance cloud rankings considering the organization and individual dimension. Therefore, this study has drawn 14 major factors in the previous researches and models through the survey on experts with knowledge related to the cloud computing. The analysis was conducted to see what differences there are in factors for the successful establishment of the cloud computing system using AHP. It is expected that the factors for success presented through this study would be used as systemic strategies and tools for the purpose of drawing factors for the success of establishing the private cloud computing system for the higher education institutions and public information systems.
Keywords
Online Education; Cloud Computing; Cloud Computing Trait Factors; Cyber University; Remote Education System;
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Times Cited By KSCI : 3  (Citation Analysis)
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1 G. T. Cho, T. G. Cho & H. S. Kang. (2003). Hierarchical Decision Making of Leading Leaders. Gyeonggi-do : donghyeon publishing company.
2 T. L. Saaty. (1990). How to make a decision: the analytic hierarchy process. European journal of operational research, 48(1), 9-26.   DOI
3 T. G. Kang. (2020). (2020). The Empirical Study on Factors of Effect of Introducing Cloud-Based Remote Education System: Focusing on Successful of Cyber University Construction. Journal of the Korea Convergence Society, 11(11), 293-300.   DOI
4 NIA. (2009. November) The New ICT Paradigm at the Pan-State Level:Cloud Computing Activation Strategy. Chief Information officer CIO Report, 17, 1-44.
5 H. Y. Kim, S. U. Kim, U. Kim & W. Choe. (2014). Cloud desktop virtualization technology. Communications of the Korean Institute of Information Scientists and Engineers, 32(2), 47-51.
6 T. Alford & G. Morton. (2009). The Economics of Cloud Computing, Booz Allen Hamilton.
7 S. J. Oh. (2013). The Evaluation of Adoption Fitness of Cloud Computing Using AHP Method. The Journal of Internet Electronic Commerce Research, 13(3), 69-87.
8 S. A. Lee, Y. S. Mun & J. H. Kim. (2008). Business Intelligence Using Cloud Computing. Jincheon : NIPA.
9 N. Al-Qirim. (2007). The adoption of eCommerce communications and applications technologies in small businesses in New Zealand. Electronic Commerce Research and Applications, 6(4), 462-473.   DOI
10 T. L. Saaty. (1983). Priority Setting in Complex Problems, IEEE Transaction on Engineering Management. EM(30), 140-155.   DOI
11 J. A. Lee. (2010). Mobile Cloud Service Domestic and Foreign Policy Promotion Status. Seoul : KCC.
12 C. Tankard. (1991). Big data security, Network Security, Information Systems Research (Impact Factor, 2.15), 5-8.
13 J. W. Lian, D. C. Yen & Y. T. Wang. (2014). An exploratory study to understand the critical factors affecting the decision to adopt cloud computing in Taiwan hospital. International Journal of Information Management, 34(1), 28-36.   DOI
14 D. Alsmadi & V. Prybutok. (2018). Sharing and storage behavior via cloud computing: Security and privacy in research and practice. Computers in Human Behavior, 85, 218-226.   DOI
15 The Relevant Authorities Consolidation. (2015). Act on Development of Cloud Computing and Protection of Users. www.lawnb.com/Info/ContentView?sid=L0004EE00CC8D80F
16 A. Benlian & T. Hess. (2011). Opportunities and risks of software-as-a-service: Findings from a survey of IT executives. Decision support systems, 52(1), 232-246.   DOI
17 Y. M. Wang, Y. S. Wang & Y. F. Yang. (2010). Understanding the determinants of RFID adoption in the manufacturing industry. Technological forecasting and social change, 77(5), 803-815.   DOI
18 V. Venkatesh & H. Bala. (2008). Technology acceptance model 3 and a research agenda on interventions. Decision sciences, 39(2), 273-315.   DOI
19 N. Sultan. (2010). Cloud computing for education: A new dawn?. International Journal of Information Management, 30(2), 109-116.   DOI
20 G. Crump. (2012), Cloud storage infrastructures raise many issues, Information WeeK.
21 W. S. Choi. (2010). Cloud Computing Service Development and Implication. Seoul : Samsung Economic Research Institute.
22 G. Reese. (2009). Cloud Application Architecture, O'Reilly.
23 M. Armbrust, A. Fox, R. Griffith, A. D. Joseph, R. H. Katz, A. Konwinski ... & M. Zaharia. (2009). Above the clouds: A berkeley view of cloud computing (17). Technical Report UCB/EECS-2009-28, EECS Department, University of California, Berkeley.
24 S. T. Rim, D. Y. Kong, S. J. Shim & Y. C. Han. (2012). A Study on the Significant Factors Affecting the Adoption of Enterprise Cloud Computing. Journal of Information Technology Services, 11(1), 173-196.   DOI
25 J. Y. Kim, K. H. Ro & S. C. Kim. (2018). A Study on Environment Analysis and Optimization of Migration Cyber Universitys Information System To Cloud Service. The Institute of Electronics and Information Engineers, 1310-1312.
26 J. W. Park. (2011). A Study on the Selection Method of Cloud Computing Service Using AHP. Master's dissertation. MYONGJI University, Seoul.
27 NIST. (2009). The Five Features of Cloud Computing, National Institute of Standard and Technology.
28 S. H. Kim, Y. J. Choi & S. Y. Jang. (2010). Building Future e-Government Service Based on Cloud Computing Architecture. Journal of Information Technology and Architecture, 7(3), 269-280.
29 S. T. Park. (2010). An Analysis of the Relative Importance of Patent Valuation Criteria for Product Categories. Doctor dissertation. Chunbuk National University, Cheongju.
30 C. H. Park. (2016). An Empirical Study of the Influential Facts on the Adoption of Cloud Computing for Public Educational Institutions. Doctor dissertation. Soongsil University, Seoul.
31 T. L. Saaty. (1980), The Analytic Hierarchy Process, McGraw-Hill Inc. O'Reilly.
32 E. Y. Heo. (1998). Economic Value Analysis of Environmental Urinary Inflammation. Daejeon : KOTIS.
33 R. Goldscheider. (2002). Licensing Best Practices : The LESI Guide to Strategic Issues and Contemporary Realities, John Wiley & Sons.
34 Ministry of Trade, Industry and Energy. (2007). Unused patent transfer guide manual. Sejong.
35 S. Y. No. (2006). Delphi Technique : Forecasting the Future with Professional Insight. Korea Research Institute For Human Settlements, 299, 53-62, 2006.
36 D. Y. Kang & S. H. Kim. (2020). A Study on the Importance Priority of Expected Effect Factors in the Introduction of Cloud Computing Service. The Journal of the Korea Contents Association, 20(4), 564-570.   DOI
37 S. M. Kim. (2020). Analysis of press articles in Korean media on online education related to COVID-19. Journal of Digital Contents Society, 21(6), 1091-1100.   DOI
38 O. G. Min, M. Y. Lee, S. J. Heo & C. S. Kim. (2009). Visible Cloud Computing. Seoul : ETNEWS.
39 Y. H. Lee. (2014). Architecture-based cloud operation management guide. Seoul. Cloud Computing Support Center.
40 KISA. (2013). A Study on the Information Protection Establishment Standard for Smart Work . Naju. KISA. All rights reserved.
41 B. J. Kwon. (2017). A Study on the Factors Affecting Transition of Commercial Cloud Service in Public Information System. Doctoral dissertation. Soonsil University, Sooul.
42 P. Mell & T. Grance. (2011). The NIST definition of cloud computing. NIST Special Publication, 800-145.
43 S. J. Park & H. Kim. (2013). Design and Implementation of a Secure Data Storage System for Corporations using Multi-clouds. Journal of KIIT, 11(3), 151-157.
44 N. Alkhater, R. Walters & G. Wills. (2018). An empirical study of factors influencing cloud adoption among private sector organisations. Telematics and Informatics, 35(1), 38-54.   DOI
45 A. Khayer, M. S. Talukder, Y. Bao & M. N. Hossain. (2020). Cloud computing adoption and its impact on SMEs' performance for cloud supported operations: A dual-stage analytical approach. Technology in Society, 60, 101225.   DOI
46 Pew Internet. (2008). Use of Cloud Computing Applications and Service. www.pewinternet.Org/PPF/r/262/report_display.asp
47 M. J. Joe. (2020). A Study on the Industrial Revitalization through the Performance Analysis of the Korean Government's Cloud Policy in Service Consumer's Perspective. Journal of Internet Computing and Services, 21(1), 159-167.   DOI