Journal of the Korea Society of Computer and Information (한국컴퓨터정보학회논문지)

Korean Society of Computer Information (한국컴퓨터정보학회)
권호 표지
DOI QR코드

DOI QR Code

The effects of the degree of education related to information systems on online transaction intention and security concerns - Comparative analysis of the use of the Internet and smartphone

정보시스템 관련 교육의 정도가 보안 우려 및 온라인 거래 의도에 미치는 영향 - 인터넷 이용과 스마트 폰 이용의 비교 분석

  • 정승민 (숭의여자대학교 경영학과)
  • Received : 2012.06.01
  • Accepted : 2012.07.17
  • Published : 2012.08.31
Download PDF
⟨ Previous Next ⟩

Abstract

This study aims to explore how the degree of education related to information systems and the Internet literacy affect perceived security risk and how these three variables affect online transaction intention based on the Technology Acceptance Model (TAM). Since using smartphone to purchase necessary products is increasing, the study provided two different cases of using the existing Internet and smartphone to buy products. As a result of an empirical test, the degree of information system education, internet literacy, and perceived security risk had significant effects on online transaction intention mediating perceived usefulness and perceived ease of use. Unlike the expectation, the more people have education related to information systems, the more they have knowledge about hacking or cases of privacy infringement, leading to even more concerns about security, thereby believing the Internet transactions require much effort. The more the education about information system, the more we have concerns about security; therefore, perceived security risk have a positive(+) effect on perceived usefulness not a negative(-) effect. Lastly, while the degree of education related to information systems has relations with the recognition of the usefulness of the Internet transaction, the study showed that there are no relations of recognizing the usefulness and the ease of use of smartphone.

본 연구에서는 정보시스템 관련 교육의 정도와 인터넷 활용 능력이 인지된 보안성 우려에 어떠한 영향을 미치며, 기술수용모델에 기반을 두어 이 세 변수가 온라인 거래 의도에는 어떻게 영향을 미치는지 살펴보고자 하였다. 또한 스마트 폰을 이용하여 필요로 하는 제품을 구매하는 사례가 증가하는 추세이므로 기존 인터넷을 이용할 경우와 스마트 폰을 이용할 경우로 구분하여 비교 분석하였다. 실증 분석 결과, 정보시스템 관련 교육의 정도, 인터넷 활용 능력, 인지된 보안성 우려는 인지된 유용성 및 인지된 사용 용이성을 매개로 하여 온라인 거래 의도에 유의한 영향을 미쳤다. 그리고 예상했던 것과 달리, 정보시스템 관련 교육을 많이 받을수록 해킹이나 프라이버시 침해 사례들을 더 많이 알게 되어 보안에 대해 더 우려하게 되며, 따라서 인터넷을 통한 거래가 많은 노력을 요구한다고 믿었다. 또한 정보시스템 관련 교육을 많이 받을수록 보안에 대해 더 우려하게 되므로, 인지된 보안성 우려는 인지된 유용성에 부(-)의 영향이 아니라 정(+)의 영향을 미쳤다. 마지막으로 정보시스템 관련 교육의 정도는 인터넷 거래의 유용성이나 인터넷 거래의 사용 용이성을 인지하는 것과는 관련이 있으나, 스마트 폰의 유용성이나 스마트 폰의 사용 용이성을 인지하는 것과는 관련이 없는 것으로 나타났다.

Keywords

References

  1. Taylor Nelson Sofres, "The TNS Global eCommerce Report," 2002.
  2. KISA, "The current status of information security," 2006.
  3. Liu, C., Marchewka, J. T., Lu, J., and Yu, C. S., "Beyond Concern-A Privacy-Trust-Behavioral Intention Model of Electronic Commerce," Information and Management, Vol. 42, pp. 289-304, 2005. https://doi.org/10.1016/j.im.2004.01.003
  4. I. Ryu, J. S. Shin, K. G. Lee, H. R. Choi, "Antecedents to Internet Privacy Concerns and Their Effect on the Trust and the Online Transaction Intention of Internet Users," Journal of Information Technology Applications & Management, Vol. 15, No. 4, pp. 37-59, Dec. 2008.
  5. Venkatesh, V., Spier, C., and Morris, M., "User Acceptance Enablers in Individual Decision Making about Technology : Toward an Integrated Model," Decision Science, Vol. 33, No. 2, pp. 297-316, 2002. https://doi.org/10.1111/j.1540-5915.2002.tb01646.x
  6. Davis, F. D., "Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology," MIS Quarterly, Vol. 13, No. 3, pp. 319-339, 1989. https://doi.org/10.2307/249008
  7. J. W. Kim, H. D. Moon, "A Study on the TAM(Technology Acceptance Model) in Different IT Environment," Journal of Information Technology Applications & Management, Vol. 14, No. 4, pp. 175-198, Dec. 2007.
  8. T. M. Lee, E. Y. Lee, "A Study on the Determinants of Purchase Intention in Mobile Commerce: Focused on the Mediating Role of Perceived Risks and Perceived Benefits," Asia Pacific Journal of Information Systems, Vol. 15, No. 2, pp. 1-21, Jun. 2005. https://doi.org/10.1111/j.1365-2575.2005.00182.x
  9. S. L. Han, C. K. Park, "Determinants of Consumer Buying Intention in Online Environment : Analysis of Flow Concept," Korea Marketing Review, Vol. 15, No. 1, pp. 187-204, 2000.
  10. S. Y. Kim, S. Y. Park, "A Study of Decision Factors for Purchase Intention at the Electronic Commerce," Journal of Consumer Studies, Vol. 10, No. 3, pp. 45-66, 1999.
  11. M. J. No, B. G. Kim, S. C. Park, "Factors Affecting User Acceptance of Ubiquitous Computing based on Mobile Services," Journal of Information Technology Applications & Management, Vol. 18, No. 1, pp. 55-74, Mar. 2010.
  12. Dinev, T. and Hart, P., "Internet Privacy Concerns and Social Awareness as Determinants of Intention to Transact," International Journal of Electronic Commerce, Vol. 10, No. 2, pp. 7-29, 2005-6.
  13. Y. S. Sohn, K. H. Ahn, "Theory and Empirical Analysis of the Effect of the Level of Consumer Knowledge on the Adoption of Electronic Commerce," Korea Marketing Review, Vol. 14, No. 1, pp. 75-91, 1999.
  14. Simonson, M. and Thomson, A., "Educational Computing Foundations," OH: Merril Publishing Company, 1990.
  15. H. R. Choi, J. S. Shin, "Antecedents to Internet Privacy Concern and Their Effect on Perceived Trust for the Internet Transaction," Journal of Information Systems, Vol. 16, No. 3, pp. 21-44, 2007.
  16. Kalakota, R. and Robinson, M., "M-Business: The Race to Mobility," McGrew-Hill, New York, NY, 2002.
  17. S. Y. Lee, "Connectivity and Perfectly Secure Message Transmission on Mobile Networks," Journal of Korean Institute of Information Technology, Vol. 8, No. 6, pp. 105-111, 2010.
  18. O'Cass, A. and Fenech, T., "Web Retailing Adoption : Exploring the Nature of Internet Users Web Retailing Behaviour," Journal of Retailing and Consumer Services, Vol. 10, No. 2, pp. 81-94, 2003. https://doi.org/10.1016/S0969-6989(02)00004-8
  19. Davis, F. D., Bagozzi, R. P., and Warshaw, P. R., "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
  20. Taylor, S. and Todd, P. A., "Assessing IT Usage : the Role of Prior Experience," MIS Quarterly, Vol. 19, No.2, pp.561-570, 1995. https://doi.org/10.2307/249633
  21. Lederer, A. L., Maupin, D. J., Sena, M. P., and Zhuang, Y., "The Technology Acceptance Model and the World Wide Web," Decision Support Systems, Vol. 29, No. 3, pp.269-282, 2000. https://doi.org/10.1016/S0167-9236(00)00076-2
  22. Eastlick, M. A., Lotz, S. L., and Warrington, P., "Understanding Online B-to-C Relationship : An Integrated Model of Privacy Concern, Trust, and Commitment," Journal of Business Research, Vol. 59, pp. 877-886, 2006. https://doi.org/10.1016/j.jbusres.2006.02.006
  23. Van Slyke, C., Shim, J. T., Johnson, R., and Jiang, J., "Concern for Information Privacy and Online Consumer Purchasing," Journal of the Association for Information Systems, Vol. 7, No. 6, pp. 415-444, 2006. https://doi.org/10.17705/1jais.00092
  24. S. I. Chae, "Social Science Investigation Methodology," Hakyeonsa, 2001.
  25. H. J. Noh, "Covariance Structural Analysis by Amos," Hanol, 2008.