[논문]AHP를 이용한 국내 사이버대학교 클라우드 컴퓨팅 시스템 구축 성공 요인의 중요도 분석

강태구; 김영렬

doi:10.15207/jkcs.2022.13.01.325

AHP를 이용한 국내 사이버대학교 클라우드 컴퓨팅 시스템 구축 성공 요인의 중요도 분석
Analysis on Importance of Success Factors to Select for the Cloud Computing System Using AHP at Cyber Universities in Korea 원문보기

한국융합학회논문지 = Journal of the Korea Convergence Society, v.13 no.1, 2022년, pp.325 - 340

강태구 (건양사이버대학교 IT비즈니스학과) , 김영렬 (충북대학교 경영정보학과)

초록
AI-Helper

전 세계적으로 COVID-19의 초유 사태로 온라인 교육은 언택트 시대의 필수 요소로 자리 잡았고 4차 산업혁명시대에 맞는 다양한 콘텐츠와 시스템 변화에 대한 중요성도 증가되고 있는 실정이다. 대학에서도 ICT 기술의 접목과 새로운 시스템 설계, 구현을 위해 노력하는 상황이지만 클라우드 컴퓨팅 시스템 구축 관련 인식과 분위기는 미흡한 실정이다. 이에 본 연구에서는 업무 특성과 규모를 구분하여 "국내 사이버대학교 클라우드 컴퓨팀 시스템 구축"성공 요인의 중요도 분석을 조직 및 개인의 차원을 고려하여 중요도 우선순위를 도출하여 분석하고자한다. 클라우드 컴퓨팅에 관련 지식이 있는 전문가 설문을 통해 선행연구와 모형들 중에서 14개의 중요 요인을 도출하였다. AHP를 이용하여 클라우드 컴퓨팅 시스템 구축 성공 요인들에 대하여 어떠한 차이를 보이는지 분석하였다. 본 연구에서 제시된 성공 요인은 고등교육 기관뿐만 아니라 공공 정보시스템의 민간 클라우드 컴퓨팅 시스템 구축 성공을 위한 요인 도출에 목적을 두고 체계적인 전략 수립의 기반 자료로 활용되기를 기대한다.

Abstract ▼ AI-Helper

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.

주제어

표/그림 (15)

그림 Fig. 1. Cloud Computing Schematic Diagram (source: Wikipdia)
그림 Fig. 2. Cloud Computing Service Model (source: NIST(2009)[7])
그림 Fig. 3. AHP Hierarchical Diagram of Factors for Successful Establishment of Cloud Computing Systems
표 Table 1. General Attributes of Expert Panel(Delphi Survey)
표 Table 2. Primary Survey Result
표 Table 3. Second Survey Result
표 Table 4. Criteria of Evaluation on Research Model
표 Table 5. Sample Attributes
표 Table 6. Consistency Rate
표 Table 7. Classification (Main Criteria)
표 Table 8. Technological Aspects
표 Table 9. Political Aspects
표 Table 10. Organizational Aspects
표 Table 11. Institutional Aspects
표 Table 12. Analysis on Proprieties Between Main Criteria and Sub Criteria

참고문헌 (47)

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.

상세보기
O. G. Min, M. Y. Lee, S. J. Heo & C. S. Kim. (2009). Visible Cloud Computing. Seoul : ETNEWS.
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.

상세보기
The Relevant Authorities Consolidation. (2015). Act on Development of Cloud Computing and Protection of Users. www.lawnb.com/Info/ContentView?sidL0004EE00CC8D80F
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.
J. W. Park. (2011). A Study on the Selection Method of Cloud Computing Service Using AHP. Master's dissertation. MYONGJI University, Seoul.
NIST. (2009). The Five Features of Cloud Computing, National Institute of Standard and Technology.
P. Mell & T. Grance. (2011). The NIST definition of cloud computing. NIST Special Publication, 800-145.
Y. H. Lee. (2014). Architecture-based cloud operation management guide. Seoul. Cloud Computing Support Center.
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.

원문보기 상세보기
B. J. Kwon. (2017). A Study on the Factors Affecting Transition of Commercial Cloud Service in Public Information System. Doctoral dissertation. Soonsil University, Sooul.
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.

상세보기
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.

상세보기
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.

상세보기
S. A. Lee, Y. S. Mun & J. H. Kim. (2008). Business Intelligence Using Cloud Computing. Jincheon : NIPA.
G. Crump. (2012), Cloud storage infrastructures raise many issues, Information WeeK.
Pew Internet. (2008). Use of Cloud Computing Applications and Service. www.pewinternet.Org/PPF/r/262/report_display.asp
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.
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.

원문보기 상세보기
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.
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.
T. Alford & G. Morton. (2009). The Economics of Cloud Computing, Booz Allen Hamilton.
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.

상세보기
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.

상세보기
V. Venkatesh & H. Bala. (2008). Technology acceptance model 3 and a research agenda on interventions. Decision sciences, 39(2), 273-315.

상세보기
N. Sultan. (2010). Cloud computing for education: A new dawn?. International Journal of Information Management, 30(2), 109-116.

상세보기
J. A. Lee. (2010). Mobile Cloud Service Domestic and Foreign Policy Promotion Status. Seoul : KCC.
W. S. Choi. (2010). Cloud Computing Service Development and Implication. Seoul : Samsung Economic Research Institute.
C. Tankard. (1991). Big data security, Network Security, Information Systems Research (Impact Factor, 2.15), 5-8.
G. Reese. (2009). Cloud Application Architecture, O'Reilly.
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.
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.
S. T. Park. (2010). An Analysis of the Relative Importance of Patent Valuation Criteria for Product Categories. Doctor dissertation. Chunbuk National University, Cheongju.
T. L. Saaty. (1980), The Analytic Hierarchy Process, McGraw-Hill Inc. O'Reilly.
E. Y. Heo. (1998). Economic Value Analysis of Environmental Urinary Inflammation. Daejeon : KOTIS.
R. Goldscheider. (2002). Licensing Best Practices : The LESI Guide to Strategic Issues and Contemporary Realities, John Wiley & Sons.
Ministry of Trade, Industry and Energy. (2007). Unused patent transfer guide manual. Sejong.
S. Y. No. (2006). Delphi Technique : Forecasting the Future with Professional Insight. Korea Research Institute For Human Settlements, 299, 53-62, 2006.
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.

상세보기
T. L. Saaty. (1983). Priority Setting in Complex Problems, IEEE Transaction on Engineering Management. EM(30), 140-155.

상세보기
G. T. Cho, T. G. Cho & H. S. Kang. (2003). Hierarchical Decision Making of Leading Leaders. Gyeonggi-do : donghyeon publishing company.
T. L. Saaty. (1990). How to make a decision: the analytic hierarchy process. European journal of operational research, 48(1), 9-26.

상세보기
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.

원문보기 상세보기
NIA. (2009. November) The New ICT Paradigm at the Pan-State Level:Cloud Computing Activation Strategy. Chief Information officer CIO Report, 17, 1-44.
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.

원문보기 상세보기
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.

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