Journal of Digital Convergence (디지털융복합연구)

The Society of Digital Policy and Management (한국디지털정책학회)
권호 표지
DOI QR코드

DOI QR Code

Factor Analysis of the Cloud Service Adoption Intension of Korean Firms: Applying the TAM and VAM

TAM과 VAM을 적용한 기업의 클라우드 서비스 채택의도의 영향요인 분석

  • Received : 2013.10.07
  • Accepted : 2013.12.20
  • Published : 2013.12.28
Download PDF
⟨ Previous Next ⟩

Abstract

The global recession circumstances, cloud computing has emerged as a new paradigm in the business IT sector. This paper explores the analysis of cloud service adoption Intension of Korean firms. Especially, we focus on Infrastructure as a Service (IaaS) among cloud services and apply TAM (Technology Acceptance Model) and VAM (Value-based Adoption Model) to analyze cloud service adoption intension The proposed exploratory model tests a number of hypotheses to understand the importance factors of IaaS adoption intension with TAM and VAM included additional cloud service characteristics such as scalability, agility, security, efficiency and reliability. Eventually, the findings of this study can not only help company users gain insights into IaaS adoption, but also help cloud service providers to develop their service effectively and improve marketing strategy in B2B cloud service market.

세계적인 경제 불황 환경에서 클라우드 컴퓨팅은 IT 분야에서 새로운 패러다임이 되었다. 본 논문은 국내기업의 클라우드 서비스 채택의도의 영향요인 분석을 위한 탐색적 연구이다. 본 연구는 클라우드 서비스 중에서 IaaS(Infrastructure as a Service)에 초점을 맞추고, 클라우드 서비스 채택의도 분석을 위해서 TAM과 VAM을 적용하기로 한다. 제안하는 탐색 모델은 확장성, 민첩성, 보안성, 효율성, 신뢰성 등과 같은 클라우드 서비스의 특성을 포함한 TAM과 VAM을 적용하여 IaaS 채택의도의 중요한 영향요인을 파악하기 위한 가설들을 검증한다. 궁극적으로 본 연구를 통하여 B2B 클라우드 서비스 시장에서 기업 사용자들의 IaaS 채택에 관한 사용의도를 파악하는데 도움을 줄 수 있을 뿐만 아니라 클라우드 서비스 제공자들이 보다 효과적인 클라우드 서비스 개발과 마케팅 전략을 향상시키는데 도움을 줄 수 있다.

Keywords

References

  1. K.-K. Seo, An Exploratory Study on the SaaS Adoption Behavior of Small and Medium Sized Company, The Journal of Digital Policy & Management, Vol. 10, No, 11, pp. 81-86, 2012.
  2. D.-H. Kim, J.-H. Lee, Y.-P. Park, A Study of Factors Affecting the Adoption of Cloud Computing, The Journal of Society for e-Business Studies, Vol. 17, No, 1, pp. 111-136, 2012. https://doi.org/10.7838/jsebs.2012.17.1.111
  3. M. Armbrust, A. Fox. R. Griffith, A.D. Joseph, R. Katz, A. Konwinski, G. Lee, D. Patterson, A, Rabkin, L. Stoica, M. Zaharia, Above the Clouds: A Berkeley View of Cloud Computing, UC Berkeley TR 2009, 2009.
  4. F.D. Davis, Perceived usefulness, perceived ease of use, and user acceptance of information technology, MIS Quarterly, Vol. 13, No. 3, pp. 319-340, 1989. https://doi.org/10.2307/249008
  5. F.D. Davis, R. Bagozzi, R., P. Warshaw,Extrinsic and Intrinsic Motivation to Use Computers in the Workplace 1, Journal of Applied Social Psychology, Vol. 22, No. 14, pp. 1111-1132, 1992. https://doi.org/10.1111/j.1559-1816.1992.tb00945.x
  6. F.D. Davis, User acceptance of information technology: system characteristics, user perceptions and behavioral impacts. International Journal of Man-Machine Studies, Vol. 38, pp. 475-487, 1993. https://doi.org/10.1006/imms.1993.1022
  7. H.-W. Kim, H. C. Chan, S. Gupta, "Value-based Adoption of Mobile Internet: An empirical investigation," Decision Support Systems, vol. 43, pp. 111-126, 2007. https://doi.org/10.1016/j.dss.2005.05.009
  8. B.-S. Kang, Research Methodology for the Analysis of Causal, Trade Management Corp., Seoul, 1999.
  9. P.M. Bentler, Comparative Fit Indices in Structural Models. Psychological Bulletin, Vol. 107, pp. 238-246, 1990. https://doi.org/10.1037/0033-2909.107.2.238

Cited by

  1. Information exchange architecture based on software defined networking for cooperative intelligent transportation systems vol.18, pp.2, 2015, https://doi.org/10.1007/s10586-015-0442-z