Journal of Digital Convergence (디지털융복합연구)

The Society of Digital Policy and Management (한국디지털정책학회)
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The Study on the Influence of Cloud Service Acceptance Intention

클라우드 서비스의 수용의도에 미치는 영향에 관한 연구

  • Nie, Xin-Yu (Dept of Business Adminstration, Honam University) ;
  • Qing, Cheng-lin (Dept. of Business Administration, Honam University)
  • Received : 2022.03.08
  • Accepted : 2022.05.20
  • Published : 2022.05.28
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Abstract

Digital services improve existing ways of purchasing contracts. In this study, we empirically analyzed the effects of individual technology readiness (optimism, innovation, inconvenience, anxiety) on the acceptance intention of cloud computing technology for users with relatively high understanding of cloud service. Also, the effect of technology readiness on acceptance intention was verified by the mediating effect of digital conversion. As a result, optimism and innovation had a positive effect on digital conversion, and discomfort and anxiety had a negative effect on digital conversion. And although the partial mediating effect of digital conversion was verified in the relationship between optimism, anxiety and acceptance intention, it was verified that there was no mediating effect of digital conversion in the relationship between innovation, discomfort and acceptance intention. Through these results, the practical implications and future research directions of cloud services were presented to companies.

디지털서비스는 기존 구매계약 방식을 개선하고 코로나19 등으로 클라우드 서비스 이용이 시급한 상황에서 최상의 디지털 서비스를 신속하게 도입할 수 있게 되었고 디지털 서비스 이용과 관련 클라우드 산업의 성장을 촉진할 수 있도록 했다. 본 연구에서 신기술에 대한 개인의 기술준비도(낙관성, 혁신성, 불편성, 불안성)이 클라우드 컴퓨팅 기술의 수용의도에 어떠한 영향을 미치는지 클라우드 서비스에 대한 이해도가 상대적으로 높지 않는 사용자를 대상으로 실증분석 하였다. 또한 기술준비도가 수용의도에 미치는 영향을 디지털전환을 매개효과로 검증하였다. 연구결과, 낙관성과 혁신성이 디지털전환에 정(+)의 영향을 미쳤으며, 불편성과 불안성이 디지털전환에 부(-)의 영향을 미치는 것으로 나타났다. 그리고 낙관성, 불안성과 수용의도 간의 관계에 있어서 디지털전환의 부분매개효과를 검증되었지만, 혁신성, 불편성과 수용의도간의 관계에 있어서 디지털전환의 매개효과가 없다는 것을 검증되었다. 이러한 연구결과를 통해 기업에 실무 시사점과, 클라우드 서비스의 후속 연구방향에 대해 제시하였다.

Keywords

References

  1. A. Bounfour. (2016). Digital futures, digital transformation. Progress in IS. Cham. Springer International Publishing, DOI, 10, 978-3.
  2. Y. J. An, Ch. S. Park, H. Cho & K. S. Han. (2021). A Study on the Factors Affecting the Behavior of Personal Cloud Storage Services - Focusing on Personalizing Effectiveness. Korea it Policy Management Association, 13(2), 21-13.
  3. A. Parasuraman. (2000). Technology Readiness Index (TRI) a multiple-item scale to measure readiness to embrace new technologies. Journal of service research, 2(4), 307-320. https://doi.org/10.1177/109467050024001
  4. H. J. Hur & H. K. Lee. (2021). Augmented Reality (AR) Fashion Shopping Service Acceptance Basedon Consumers' Technology Readiness. Fashion & Text. Res. J, 23(3), 347-357. https://doi.org/10.5805/SFTI.2021.23.3.347
  5. D. K. Lee & Y. Y. You. (2017). The Effects of Digital Transformation Intention of Small Traders in Domestic Traditional Industries. J. Soc. Korea Ind. Syst. Eng,40(4), 67-77. https://doi.org/10.11627/jkise.
  6. J. Bumann & M. K. Peter. (2019). Action fields of digital transformation-a review and comparative analysis of digital transformation maturity models and frameworks. Digitalisierung und andere Innovationsformen im Management. Innovation und Unternehmertum, 2, 13-40.
  7. K. Mathieson. (1991). Predicting user intentions: comparing the technology acceptance model with the theory of planned behavior. Information systems research, 2(3), 173-191. https://doi.org/10.1287/isre.2.3.173
  8. S. Taylor & P. Todd. (1995). Assessing IT usage: The role of prior experience. MIS quarterly, 561-570. https://doi.org/10.2307/249633
  9. J. S. C. Lin & P. L. Hsieh. (2007). The influence of technology readiness on satisfaction and behavioral intentions toward self-service technologies. computers in Human Behavior, 23(3), 1597-1615. https://doi.org/10.1016/j.chb.2005.07.006
  10. R. Agarwal & J. Prasad. (1998). A conceptual and operational definition of personal innovativeness in the domain of information technology. Information systems research, 9(2), 204-215. https://doi.org/10.1287/isre.9.2.204
  11. V. Venkatesh. M. G. Morris, G. B, Davis & F. D. Davis. (2003). User acceptance of Information technology: Toward a unified view. MIS quarterly, 425-478. https://doi.org/10.2307/30036540
  12. S. Alwahaishi & V. Snasel. (2013). Modeling the determinants affecting consumers' acceptance and use of information and communications technology. International Journal of E-Adoption (IJEA), 5(2), 25-39. https://doi.org/10.4018/jea.2013040103
  13. S. H. Park & G. Y. Gim. (2012). A study on the factors affecting continuous intention and expansion of communication channels in social network service. Journal of Information Technology Services, 11(2), 319-337. https://doi.org/10.9716/KITS.2012.11.2.319
  14. S. J. Lee, H. J. Ryu, N. Y. Kim & Y. j. Choi. (2021). A Empirical Study of Digital Transformation Determinants from an Acceptance Perspective. Journal of Information Technology and Architecture 18.(2), 181-197. http://doi.org/10.22865/jita.2021.18.2.181
  15. M. Ghobakhloo. (2020). Industry 4.0, digitization, and opportunities for sustainability. Journal of cleaner production, 252, 119869. https://doi.org/10.1016/j.jclepro.2019.119869