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A Study on the Influencing Usage Intention of AT Certification program using WBI in the Digital Convergence Environment

디지털 융복합 환경에서 WBI을 활용한 AT자격 프로그램 사용의도에 미치는 영향에 관한 연구

  • 이신남 (협성대학교 세무회계학과)
  • Received : 2015.05.06
  • Accepted : 2015.07.20
  • Published : 2015.07.28

Abstract

This paper aimed to identify the relationship between satisfaction and continuous usage intention of AT(Accounting Technician) certification program using WBI(Web-Based Instruction) in the digital convergence environment. We extend satisfaction and continuous usage intention, technology acceptance model theory by adding usefulness expectation, program interface, expectation confirmation. This study was examined by using the SPSS 21.0 and AMOS 21.0. The results by analysis are as follows. First, usefulness expectation and program interface showed positive effect on the expectation confirmation, usefulness expectation had more significantly effect than the program interface. Second, expectation confirmation had significantly positive effect satisfaction, continuous usage intention. Also expectation confirmation was influenced by continuous usage intention rather than satisfaction. Third, satisfaction had positive sign on the continuous usage intention.

본 연구의 목적은 디지털 융복합 환경에서 WBI를 활용한 AT자격 프로그램의 만족도와 지속적 사용의도에 미치는 영향 변수를 기대일치, 유용성 기대, 프로그램 인터페이스로 확장하여 검증하고자 하는 것이다. 실증분석에 활용된 도구는 AMOS 21.0과 SPSS 21.0 프로그램이다. 연구결과는 다음과 같다. 첫째, 유용성기대 및 프로그램 인터페이스가 기대일치에 긍정적 영향을 주는 것으로 나타났으며, 유용성기대가 프로그램 인터페이스보다 더 큰 영향을 미쳤다. 둘째, 기대일치는 만족도, 지속적 사용의도에 모두 긍정적인 영향을 미쳤으며 기대일치는 만족도보다 지속적 사용의도에 더 많은 영향력을 주는 것으로 나타났다. 셋째, 만족도는 지속적 사용의도에 대해 긍정적 영향을 주는 것으로 나타났다. 본 연구결과는 가설에서 제시한 경로를 토대로 기대일치가 유용성기대와 프로그램 인터페이스에 따라 영향을 받으며, 만족도와 지속적 사용의도에도 중요한 요인이라는 증거를 제시하였다고 생각한다.

Keywords

References

  1. J. K. Lee, A Study of Developing and Implementing Web-Based Self-Regulated Learning Models. Journal of Educational Technology, Vol. 16, No. 2, pp. 83-106, 2000. https://doi.org/10.17232/KSET.16.2.83
  2. H. G. Baek, T. H. Ha and D. R. Shin, Design and Implementation of the Web-based Learning System Using Self-Regulated Learning. Journal of Digital Convergence, Vol. 2, No. 1, pp. 43-56, 2004.
  3. D. Natharius, The More We Know, the More We See: The Role of Visuality in Media Literacy. American Behavioral Scientist, Vol. 48, No.20, pp. 238-247, 2004. https://doi.org/10.1177/0002764204267269
  4. M. Hannaffin, K. Oliver and E. Glaser, Cognitive and learning factors in web-based environments. Handbook of American distance education, Mahwah, NJ: Lawrence Earlbaum Associates, Inc, 2001.
  5. I. H. Jo and K. C. Lee, Integration of Case-Based Reasoning and Fuzzy Cognitive Map for Building Learning-Oriented Knowledge Management System. Journal of Corporate Education, Vol. 3, No. 2, pp. 107-142, 2001.
  6. D. Kang, The Effects of web-based project learning on self-directed learning and the problem solving ability of elementary school children. Master of Education, Dissertation, Korea National University of Education, 2004.
  7. J. D. Kim, Analysis of Potentials and Limits of Web-based Education. Journal of Educational Technology, Vol. 22, No. 2, pp. 87-113, 2006. https://doi.org/10.17232/KSET.22.2.87
  8. C. W. Park and K. D. Lee, A Study on Factors Affecting Web Academic Information Service Quality. Journal of Digital Convergence, Vol. 7, No. 4, pp. 91-99, 2009.
  9. A. Bhattacherjee and G. Premkumar, Understanding Changes in Belief and Attitude Toward Information Technology Usage: A Theoretical Model and Logitudinal Test, MIS Quarterly,Vol. 28 No. 2, pp. 229-254, 2004. https://doi.org/10.2307/25148634
  10. H. S. Han, K. H. Park and J. Y. Cho, The Determinants of Usefulness and Intention In Mobile Game Service. Journal of Digital Convergence, Vol. 4, No. 2, pp. 41-49, 2006.
  11. H. J. Lee, S. J. Park and K. I. Han, The Effects of Perception of user on the Intention to use to e-Government. Journal of Digital Convergence, Vol. 8, No. 3, pp. 49-62, 2010.
  12. J. Jasperson, P. E. Carter and R. W. Zmud, A Comprehensive Conceptualization of Post-Adoptive Behaviors Associated with information Technonogy Enabled Work Systems. MIS Quarterly, Vol. 29 No. 3, pp. 525-557, 2005. https://doi.org/10.2307/25148694
  13. A. M. Chircu, G. B. Davis and R. J. Kauffman, Trust, Expertise and E-commerce Intermediary Adoption., 2000.
  14. V M. G. Venkatesh, F. D. Morris and G. B. Davis, User Acceptance of Information Technology: Toward a Unifies View. MIS Quarterly, Vol. 24, No. 3, pp. 425-478, 2003.
  15. D. G. Lee, S. J. Lee and B. J. Choi, An Empirical Study on Intentions to Use of Smart TV. Journal of Digital Convergence, Vol. 10, No. 4, pp. 107-118, 2012. https://doi.org/10.14400/JDPM.2012.10.4.107
  16. Y. G. Jeon, The Mediating Effect of Job Satisfaction between Organizational Members' Turnover Intention and the Leadership Type of Middle Managers in Agricultural Cooperatives. Journal of Digital Convergence, Vol. 3, No. 3, pp. 85-93, 2015.
  17. P. A. Dabolkar, C. D. Shepard and D. L. Thorpe, A Comprehensive Framework for Service Quality: An Investigation of Critical Conceptual and Mesurement Issues Through a Longitudinal Study. Journal of Retailing, Vol, 76, p. 139-173, 2000. https://doi.org/10.1016/S0022-4359(00)00029-4
  18. A. Bhattacherjee, Understanding Information Systems Continuance: an Expectation-Confirmation Model. MIS Quarterly, Vol. 25, pp. 351-371, 2001. https://doi.org/10.2307/3250921
  19. R. H. Rosa, A. S. Patrick and A. Ozok, Perception and Acceptance of Fingerprint Biometric Technology, Symposium On Usable Privacy Security, 2007.
  20. D. Gefen, E-Commerce: the Role of Familiarity and Trust. Omega, Vol. 28, No. 6, pp. 725-737, 2000. https://doi.org/10.1016/S0305-0483(00)00021-9
  21. C. M. Chiu, M. H. Hsu, S. Y. Sun, T. C. Lin and P. C. Sun, Usability, Quality, Value and E-Learning Continuance Decision. Computers & Education, Vol. 45, No. 4, pp. 399-416, 2005. https://doi.org/10.1016/j.compedu.2004.06.001
  22. W. H. DeLone, and E. R. McLean, Information Systems Success, Informaton System Research, Vol. 3, pp. 60-95, 1992. https://doi.org/10.1287/isre.3.1.60
  23. S. R. Yee, A Study of Team satisfaction and associated Factors of engineering College Freshmen. Journal of Digital Convergence, Vol. 13, No. 2, pp. 315-324, 2015. https://doi.org/10.14400/JDC.2015.13.2.315
  24. 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
  25. G. Costikyan, I Have No Words and I Must Designt. Interactive Fantasy, Vol. 2, 1994.
  26. J. R. Francis and C. S. Lennox, Selection models in accounting research, Working Paper, University of Missouri at Columbia, 2008.
  27. http://www.smartecom.co.kr, 2015.