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What makes University Students to continuously use Cloud Services? - Enjoyment and Social Influence

  • Received : 2017.12.27
  • Accepted : 2018.01.04
  • Published : 2018.01.31

Abstract

The purpose of this paper is to investigate the influence of utilitarian, hedonic and social motivations on continuance intention to use cloud services. To do this, this study built a research model and examined how ease of use, usefulness, enjoyment, social influence affect the continuance usage intention of cloud services. The survey method was used for this paper, and data from a total of 82 university students were used for the analysis. And structural equation model was used to analyze the data. The results of this empirical study is summarized as followings. First, enjoyment has a direct effect on the continuance usage intention of cloud services. Second, social influence has a direct effect on the continuance usage intention. Further, it will provide meaning suggestion point of the importance of not only utilitarian motivation but also hedonic and social motivations in establishing the use policy of cloud services.

Keywords

References

  1. E. S. Park and H. J. Woo, "A Study on Factors Affecting the Intention to Use Personal Cloud Service: Focused on the Convergence Model of TAM and PMT," Journal of Cybercommunication, Vol. 30, No. 2, pp. 111-150, 2013.
  2. D.-H. Park and K.-H. Han, "A Study on PIMS Controls for PII Outsourcing Management under the Cloud Service Environment," Journal of The Korea Institute of Information Security & Cryptology, Vol. 23, No. 6, pp. 1267-1276, 2013. https://doi.org/10.13089/JKIISC.2013.23.6.1267
  3. S.-D. Lee, "The strategic steps of cloud services in Korea," Journal of KIISE, Vol. 28, No. 12, pp. 34-38, 2010.
  4. J.-M. Lee, "Technology Acceptance Model for Digital Transformation," Industrial Technology Research, Vol. 26, pp. 65-70, 2017.
  5. 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
  6. F. D. Davis, R. P. Bagozzi, and P. R. Warshaw, "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models," Management Science, Vol. 35, No. 8, pp. 982-1003, 1989. https://doi.org/10.1287/mnsc.35.8.982
  7. H. Heijden, "User Acceptance of Hedonic Information Systems," MIS Quarterly, Vol. 28, No. 4, pp. 695-704, 2004. https://doi.org/10.2307/25148660
  8. V. Venkatesh and F. D. Davis, "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, Vol. 46, No. 2, pp. 186-204, 2000. https://doi.org/10.1287/mnsc.46.2.186.11926
  9. 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
  10. F. D. Davis, "A Technology Acceptance Model for Empirically Testing New End-User Information Systems: Theory and Results," Thesis(Ph. D.)--Massachusetts Institute of Technology, Sloan School of Management, 1986.
  11. Y.-S. Wang, H.-H. Lin, P. Luarn, "Predicting consumer intention to use mobile service," Information Systems Journal, Vol. 16, No. 2, pp. 157-179, 2006. https://doi.org/10.1111/j.1365-2575.2006.00213.x
  12. E. S. Park, H. J. Woo, "A Study on Factors Affecting the Intention to Use Personal Cloud Service : Focused on the Convergence Model of TAM and PMT," Journal of Cybercommunication Academic Society, Vol. 30, No. 2, pp. 111-150, 2013.
  13. Kwon, O., "An Empirical Study on Potential Smartphone Users," Internet and Information Security, Vol. 1, No. 1, pp. 55-83, 2010.
  14. Yi, H.-T., Huh, J.-H., Jung, J.-B., and Kim, K.-H., "A Study on the Influence of Product Attributes of Smart Device on User Acceptance: Mediating Effect of Utilitarian and Hedonic Motivation," Journal of The Korea Contents Association, Vol. 15, No. 4, pp. 454-468, 2015. https://doi.org/10.5392/JKCA.2015.15.04.454
  15. J. Y.L. Thong., S.-J. Hong, and K. Y. Tam, "The effects of post-adoption beliefs on the expectation-confirma tion model for information technology continuance," International Journal of Human-Computer Studies, Vol. 64, No. 9, pp. 799-810, 2006. https://doi.org/10.1016/j.ijhcs.2006.05.001
  16. S. Sohn, Y. J. Choi, and H. S. Hwang, "Understanding acceptance of smartphone among early adopters using extended technology acceptance model," Korean journal of journalism & communication studies, Vol. 55, No. 2, pp. 227-251, 2011.
  17. SmartPLS, http://www.smartpls.de/
  18. D. Barclay, C. Higgins, and R. Thomson, "The Partial Least Squares(PLS) Approach to Causal Modeling, Personal Computer Adoption and Use as an Illustration," Technology Studies, Vol. 2, No. 2, pp. 285-309, 1995.
  19. E. G. Carmines and R. A. Zeller, "Reliability and Validity Assessment," SAGE Publications, 1979.
  20. W. W. Chin, "Issues and Opinion on Structural Equation Modeling," MIS Quarterly, Vol. 22, No. 1, pp. 7-16, Mar. 1998.
  21. C. Fornell and D. Lacker, "Evaluating Structural Equation Models with Unobservable Variables and Measurement Error," J. of Marketing Research, Vol. 18, pp. 921-950, 1981.
  22. J. F. Hair, R. E. Anderson, R. L. Tatham, and W. C. Black, "Multivariate Data Analysis," Prentice Hall, 1998.
  23. R. P. Bagozzi and Y. Yi, "On the Evaluation of Structural Models," J. of Academy of Marketing Science, Vol. 16, No. 1, pp. 77-94, 1988.
  24. Y.-M. Huang, "The factors that predispose students to continuously use cloud services: Social and technological perspectives," Computers & Education, Vol. 97, pp. 86-96, 2016. https://doi.org/10.1016/j.compedu.2016.02.016
  25. V. Terzis, C. Moridis, and A. Economides, "Continuance acceptance of computer based assessment through the integration of user's expectations and perceptions," Computers & Education, Vol. 62, pp. 50-61, 2013. https://doi.org/10.1016/j.compedu.2012.10.018
  26. J. M. Lee, "An Empirical Study on Factors Influencing Non-Work Related Use Behavior of Smartphone," Journal of The Korea Society of Computer and Information, Vol. 17, No. 8, pp. 115-121, 2012. https://doi.org/10.9708/jksci.2012.17.8.115
  27. J. M. Lee, "A Study on the Factors Affecting Smart Phone Use Behavior of University Students in Class," Journal of The Korea Society of Computer and Information, Vol. 18, No. 4, pp. 191-199, 2013. https://doi.org/10.9708/jksci.2013.18.4.191