Journal of Digital Contents Society (디지털콘텐츠학회 논문지)

Digital Contents Society (한국디지털콘텐츠학회)
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A Study on the Factors Affecting Use Behavior of Cloud-based Common Collaboration Platform

클라우드 기반 공통협업플랫폼의 사용행동에 영향을 미치는 요인에 관한 연구

  • Kim, San-Hae (Department of IT Policy Management, Soongsil University) ;
  • Lee, Hong-Jae (Department of IT Policy Management, Soongsil University) ;
  • Han, Kyeong-Seok (Department of Business Administration, Soongsil University) ;
  • Kwon, Tae-Hyun (Department of IT Policy Management, Soongsil University)
  • Received : 2018.05.20
  • Accepted : 2018.06.25
  • Published : 2018.06.30
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Abstract

The study has been derived through the empirical analysis so as to find the usage behavior of cloud-based common collaboration platform. Independent variables of the cloud-based platform have been selected as flexibility, reliability, versatility, security and interaction, which have been selected by utilizing UTAUT theory. After selecting the use intent as a parameter, usage behavior was been finally selected as a dependent variable. The firm type was used as a control variable. We used AMOS 23.0 and SPSS 23.0 statistical programs for the hypothesis test and distributed the questionnaires to users using the cloud-based common collaboration platform. Then, a total of 180 copies from distributed questionnaires were used for the analysis. The results showed that reliability, security and interaction had a positive effect on intention to use. On the other hand, flexibility and versatility did not affect intention to use positively. Finally, it was verified that the intention to use had a positive effect on the use behavior. At last, it showed that there is a moderation effect according to the type of company.

본 연구는 클라우드 기반 공통협업플랫폼의 사용행동을 알아보고자 실증 분석하여 결과를 도출하였다. 클라우드 기반 플랫폼의 독립변수들로 유연성, 신뢰성, 범용성, 보안성, 상호작용을 선정하였으며, UTAUT이론을 활용하여 사용의도를 매개변수로 최종적으로 사용행동을 종속변수로 선정 하였다. 조절변수로는 회사유형을 활용하였다. 가설검증은 AMOS 23.0과 SPSS 23.0 통계 프로그램을 사용하였으며, 클라우드 기반 공통협업플랫폼을 사용하는 사용자들을 대상으로 설문지를 배포하여 총 180부를 분석에 사용하였다. 분석결과, 신뢰성, 보안성, 상호작용은 사용의도에 긍정적인 영향을 미치는 것으로 나타났으며, 유연성, 범용성은 사용의도에 긍정적인 영향을 미치지 못하는 것으로 나타났다. 최종적으로 사용의도는 사용행동에 긍정적인 영향을 미치는 것으로 검증이 되었다. 마지막으로 회사유형에 따른 조절효과가 있는 것으로 나타났다.

Keywords

References

  1. V. Venkatesh, M. G. Morris, G. B. Davis, and F. D. Davis, "User acceptance of information technology: Toward aunified view", MIS quarterly, pp. 425-478, 2003.
  2. O. J. Kwon, "An Empirical Study on Potential Smartphone Users", Internet and Information Security, Vol. 1, No. 1, pp. 55-83. 2010.
  3. J. E. Bailey and S. W. Pearson, "Development of A Tool for Measuring and Analyzing Computer User Satisfaction", Management Science, Vol. 29, No. 5, pp. 530-545, 1983. https://doi.org/10.1287/mnsc.29.5.530
  4. Wixom and Todd, "A theoretical integration of user satisfaction and technology acceptance", Information Systems Research, Vol. 16, No. 1, pp. 85-102, 2005. https://doi.org/10.1287/isre.1050.0042
  5. A. Parasuraman, V. Zeithaml, and L. L. Berry, "A Conceptual Model of Service Quality and Its Implications for Future Research", Journal of Maketing, Fall, pp. 41-50, 1985
  6. A. Parasuraman, V. Zeithaml, and L. L. Berry, "Servqual: A Multiple-Item Scale for Measuring Consumer Perception of Service Quality", Journal of Retailing, Vol. 64, No. 1, pp. 12-40, 1988.
  7. H. S. Seo and I. K. Song "The Study on the Acceptable Intention of Smart and Mobile Device : Based on Two-Sided Network Effect", The KIPS Transactions, Vol. 18, No. 4, pp. 287-298, 2011.
  8. B. C. Hwang, K. S. Chung, and M. J. Noh, "An Empirical Study on Relationships between Characteristics of Mobile Payment Services and Continuance Intention", Academy of Management Journal, Vol. 31, No. 4, pp. 591-615, 2016.
  9. D. L. Hoffman, T. P. Novak, and M. Peralta, "Building consumer trust online", Communications of the ACM, Vol. 42, No. 4, pp. 80-85. 1999. https://doi.org/10.1145/299157.299175
  10. J. K. Bae, "An Empirical Study on the Effect of Perceived Privacy, Perceived Security, Perceived Enjoyment on Continuance Usage Intention in Mobile Cloud Computing", The e-Business Studies, Vol. 15, No. 3, pp. 3-27, 2014.
  11. E. M. Rogers, "Communication Technology: The New Media in Society", New York Press: Wiley, 1986.
  12. J. H. Chul and Y. S. Chung "An Empirical Study on the Determinants of Trust in Internet Shopping Mall : A Comparison of Korean and Chinese Users", Journal of Information Technology Applications & Management, Vol. 14, No. 2 pp. 71-96, 2007.
  13. 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
  14. C. Engel & J. D. Hamilton, "Long swings in the dollar: Are they in the data and do markets know it?", The American Economic Review, pp. 689-713, 1990.
  15. C. K. Pyo, K. S. Han, and G. S. Ryu, " An Empirical Study on the Factors Influencing User Satisfaction of Military Smart-Education", Journal of Digital Convergence, Vol. 14, No. 2, pp. 41-48, 2016. https://doi.org/10.14400/JDC.2016.14.2.41
  16. D. S. Kwak, K. H. Yim, and J. H. Kwon, "Study on the Influence of Enterprise Features of SNS Service on Relationship Commitment and On-line Word-of-Mouth", The Journal of Digital Policy & Management, Vol. 11, No. 5, pp. 225-235, 2013.
  17. J. J. Lee and K. S. Han, "A Study on Factors Affecting the Usage of the Digital Copyright Exchange in Knowledge Service Convergence Era", The Journal of Digital Policy & Management, Vol. 10, No.6, pp.153-158, 2012.
  18. K. S. Kim, K. S. Han, and H. W. Huh, "A Study on the Benefits of PLM system baed on Data Integration and Process Management", The Journal of Digital Policy & Management, Vol. 10, No.6, pp. 133-140, 2012
  19. B. Muthen and D, Kaplan, "A comparison of some methodologies for the factor analysis of non-normal Likert variables", British Journal of Mathematical and Statistical Psychology, Vol. 38, No. 2, pp. 171-189, 1985. https://doi.org/10.1111/j.2044-8317.1985.tb00832.x
  20. E. G. Carmines, "Analyzing Models with Unobserved Variables", Social measurement: Current issues, 1981.
  21. M. W. Browne and R. Cudeck, "Alternative ways of assessing model fit", Sociological Methods & Research, Vol. 21, No. 2, pp. 230-258, 1992. https://doi.org/10.1177/0049124192021002005
  22. J. F. Hair, W. C. Black, B. J. Babin, R. E. Anderson, and R. L. Tatham, "Multivariate data analysis", Upper Saddle River, NJ: Prentice hall, 1998.
  23. K. G. Joreskog and D. Sorbom, "LISREL VI: Analysis of linear structural relationships by maximum likelihood, instrumental variables, and least squares methods", Scientific Software, 1986.
  24. S. A. Mulaik, L. R. James, J. Van Alstine, N. Bennet, S. Lind, and C. D. Stilwell, "Evaluation of Goodness-of-Fit Indices for Structural Equation Models", Psychological Bulletin, Vol. 105 No. 3, pp. 430, 1989. https://doi.org/10.1037/0033-2909.105.3.430
  25. P. M. Bentler and D. G. Bonett, "Significance tests and goodness of fit in the analysis of covariance structures", Psychological Bulletin, Vol. 88, No. 3 pp. 588, 1980. https://doi.org/10.1037/0033-2909.88.3.588
  26. P. M. Bentler, "Comparative Fit Indexes in Structural Models", Psychological Bulletin, Vol. 107, No. 2, pp. 238, 1990. https://doi.org/10.1037/0033-2909.107.2.238
  27. L. James, S. Mulaik, and J. M. Brett, "Causal Analysis: Assumptions, Models, and Data", Beverly Hills, CA: Sage, 1982.
  28. J. W. Yoon and U. S. Song, "Build the Teaching Practice System based on Cloud Computing for Stabilization through Performance Evaluation", Journal of Digital Contents Society, Vol. 15, No. 5, pp. 595-602, 2014. https://doi.org/10.9728/dcs.2014.15.5.595
  29. J. H. Ra, "Qualitative Study on Service Features for Cloud Computing", Journal of Digital Contents Society, Vol. 12, No. 3, pp. 319-327, 2011. https://doi.org/10.9728/dcs.2011.12.3.319
  30. C. M. Song, "A Study on the Factors Affecting the Intention to Usage in Copyright", Ph D. dissertation, Soongsil University, Seoul, 2015

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