Journal of Digital Convergence (디지털융복합연구)

The Society of Digital Policy and Management (한국디지털정책학회)
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Cloud Computing Acceptance at Individual Level Based on Extended UTAUT

확장된 UTAUT 모형에 기반한 개인차원에서의 클라우드 컴퓨팅 수용

  • Received : 2013.12.16
  • Accepted : 2014.01.20
  • Published : 2014.01.28
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Abstract

Cloud computing is a new method of computing and managing organizational information technology resources strategically. From the user perspective, it involves computing environment for accessing applications remotely, storing data, and supporting cooperative works. For the cloud computing to be effective in an organization, it should be accepted by individual users. In this paper we propose a research model, extending and modifying UTAUT model. We also test the validity of the model using the questionnaire from a sample of cloud computing services users.

클라우드 컴퓨팅은 새로운 컴퓨팅 기술이고 조직에서는 정보자원을 전략적으로 관리할 수 있게 하는 수단을 제공한다. 사용자 관점에서 클라우드 컴퓨팅은 원격의 어플리케이션에 접근하고, 데이터를 저장하며, 개인간 협업을 지원하는 등의 이슈를 수반한다. 조직에서 클라우드 컴퓨팅 효과적으로 적용되기 위해서는 우선 사용자의 채택이 전제조건이다. 본 논문에서 우리는 개인차원의 클라우드 컴퓨팅 수용을 설명하기 위하여 기존의 UTAUT 모형을 수정하고 확장한 모형을 제안하고, 설문 데이터를 이용하여 이 모형의 타당성을 검정한다.

Keywords

References

  1. A. Alkhunaizan and S. Love, What Drives Mobile Commerce? An Empirical Evaluation of the Revised UTAUT Model, International Journal of Management and Marketing Academy, Vol.2, No.1, pp. 82-99, 2012.
  2. Gartner Group, Assessing the Security Risks of Cloud Computing, 2008. 6.
  3. S. Jeon., N. Park, and C.C. Lee, Study on the Factors Affecting the Intention to Adopt Public Cloud Computing Service, Entrue Journal of Information Technology, Vol.10, No.2, pp. 97-112, 2011.
  4. K. D. Kim, D. Lee, J. Seol, and B. Lee, Analysis of Determinants and Moderator Effects of User Age and Experience for VOIP Acceptance, The KIPS Transactions : Part D, Vol. 16, No. 6, pp. 945-960, 2009.
  5. W. Kim,, S. D. Kim, E. S. Lee, and S. Y. Lee, Adoption Issues for Cloud Computing, Proceedings of the 11th International Conference on Information Integration and Web-based Applications & Services, 2009.
  6. KTG (Kynetix Technology Group), Cloud Computing: A Strategy Guide for Board Level Executive, Kynetix Management Guide, 2009.
  7. M. Lee, A Study of Factors Influencing the Satisfaction of SNS Use, Journal of Korea Industry Information Systems Research, Vol. 17, No. 5, pp. 61-73, 2012. https://doi.org/10.9723/jksiis.2012.17.5.061
  8. D. Mandal, and R. J. McQueen, Extending UTAUT to Explain Social Media Adoption by Microbusiness, International Journal of Managing Information Technology, Vol. 4, No. 4, pp. 1-11, 2012.
  9. K. K. Min, H. Y. Kim, and G. H. Nam, Trends in Technology of Cloud Computing, ETRI, pp. 1-13, 2009.
  10. J. C. Oh,, Factors of Internet Service Acceptance: A Revaluation of UTAUT Model, Korean Management Review, Vol. 39, No. 1, pp. 55-79, 2010.
  11. C. W. Park, and H. J. Jeong, An Empirical Study on the Effects of Personal and Systematic Characteristics on the Acceptance of Technologically Innovative Products - With Focus on Cloud Computing, Asia-Pacific Journal of Business Venturing and Entrepreneurship, Vol. 7, No. 2, pp. 63-76, 2012. https://doi.org/10.16972/apjbve.7.2.201207.63
  12. M. Reid and Y. Levy, Integrating Trust and Computer Self-Efficacy with TAM: An Empirical Assessment of Customers' Acceptance of Banking Information Systems(BIS) in Jamaica, Journal of Internet Banking and Commerce, Vol. 13, No. 3, pp.1-18, 2008.
  13. S. Rim, D. Kong, S. Shim, and Y. Han, A Study on the Significant Factors Affecting the Adoption of Enterprise Cloud Computing, Korea Society of IT Services Journal, Vol.11, No.1, pp. 173-196, 2012. https://doi.org/10.9716/KITS.2012.11.1.173
  14. A. A. Taiwo and A. G. Downe, The Theory of User Acceptance and Use of Technology (UTAUT): A Meta-Analytic Review of Empirical Findings, Journal of Theoretical and Applied Information Technology, Vol. 49, No. 1, pp. 48-58, 2013.
  15. V. Venkatesh, M.. G. Morris, G.. B. Davis, and F. D. Davis, User Acceptance of Information Technology: Toward a Unified View, MIS Quarterly, Vol. 27, No. 3, pp. 425-478, 2003. https://doi.org/10.2307/30036540
  16. W. W. Wu, Mining Significant Factors Affecting the Adoption of SaaS Using the Rough Set Approach, Journal of Systems and Software, Vol. 84, No. 3, pp. 435-441, 2010.

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