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An Empirical Study on the Relationship between User's MBTI Personality Types and Continuous IS Usage Intention

사용자 MBTI 성격유형과 정보시스템 지속사용의도간의 관계에 관한 실증적 연구

  • Received : 2010.09.06
  • Accepted : 2010.10.14
  • Published : 2011.01.31

Abstract

Focusing upon the post-adoption stage of IS, this study reasoned that IS users' personality is one of major influencing factors of continuous IS usage intention and empirically examined how the degree of continuous IS usage intention is variable according to the IS users' personality types classified based on MBTI(Myers Briggs Type Indicator). In order to validate the research model and hypotheses, this study made a field survey of 330 IS users and statistically analysed response data. The results of empirical analyses showed that the intent of continuous IS usage was affected by self-efficacy of IS; and self-efficacy by self-leadership of IS; and self-leadership by IS user' personality type and expectation confirmation. That is, it was found that IS users' personality type and three intervening variables(expectation confirmation, self-leadership and self-efficacy) were significant predictors of the intent of continuous IS usage. This study is thought to be contributive to providing the theoretical basis of finding IS success factors in the post-adoption stage and the practical guideline for effective personnel management relevant to IS implementation.

본 연구는 정보시스템이 조직에 수용된 후의 이용단계에서 사용자의 성격유형이 지속적인IS 사용의도에 중요한 영향요인들 중 하나임을 추론하였고, 개인의 성격유형판별지표인 MBTI에 근거한 IS 사용자 성격유형에 따라 IS의 지속적인 사용의도의 수준이 어떻게 다른지를 실증적으로 규명하고자 하였다. 본 연구에서 도출된 연구모형과 가설을 검증하기 위해 330명의 IS 실무 사용자를 대상으로 설문조사를 실시하였고, 이에 의해 수집된 자료를 바탕으로 통계분석을 실시하였다. 실증분석 결과, 정보시스템 수용후 단계에 있어서 사용자의 지속적인 사용의도는 IS에 대한 자기효능감에 의해 영향을 받고, 자기효능감은 자기주도성에 의해 영향을 받으며, 자기주도성은 사용자 성격유형과 IS에 대한 기대일치수준에 의해 영향을 받는 것으로 나타났다. 즉, 사용자 성격유형과 3가지 매개변수들(기대일치, 자기주도성, 자기효능감)은 사용자의 지속적인 IS 이용의도의 중요한 에측변인들임이 밝혀졌다. 본 연구결과는 정보시스템 수용 후의 단계에서 IS 성공요인을 규명하는데 대한 이론적 근거를 제공할 뿐 아니라, 조직내 정보시스템의 구축 운영과 관련한 인사관리 업무수행에 있어서 실무적 가이드라인을 제공하는데 기여할 수 있을 것으로 본다.

Keywords

References

  1. S.H. Kim, and J.S. Hahn, "Relations Among Learner's Personality Types, Self-Direction, Attitudes and Self-Efficacy toward Technology, and Achievement in Cyber University", The Journal of Educational Information and Media, Vol. 13(2), pp. 79-106, 2007.
  2. Y.Y. Kim, S.J. Oh, J.H. Ahn, J.J. Jahng, "What Happens After IT Adoption? : Role of Habits, Confirmation, and Computer Self-efficacy Formed by the Experiences of Use", MIS Quarterly, Vol. 18, No. 1, pp. 26-51, 2008.
  3. J.T. KIM, H.S. SIM, M.J. KIM, M.B. SIM, "A Study of MBTI Form K Standardization in Korean", The Journal of the Korea Academy of Psychological Type, Vol. 10, No. 1, pp. 53-70, 2003.
  4. H.S. KIM, "The Influences of Individual Personality Types on ERP System's Acceptance : a Preliminary Test" Doctoral thesis, Daegu University, Dec. 2005.
  5. J.H LEE, and H.S. KIM, "The Influences of Individual Personality Types on ERP System's Acceptance : a Preliminary Test", Proceedings of the Korea Society for Industrial Systems Conference, pp. 319-334, 2006
  6. W.J. Jang, and T.K. KIM, "A Study on the Adoption of Information Systems in Mandatory Environments", Proceedings of the Korea Society of Management Information Systems Spring Semi-Annual Conferences, pp. 1193-1199, 2003.
  7. Agarwal, R., and Karahanna, E. "Time flies when you're having fun: Cognitive absorption and beliefs about information technology usage," MIS Quarterly, Vol.24, No.4, pp.665-694, 2000. https://doi.org/10.2307/3250951
  8. Agarwal, R., and Prasad, J. "The role of innovation characteristics and perceived Voluntariness in the acceptance of information technologies," Decision Sciences, Vol.28, pp.557-582, 1997. https://doi.org/10.1111/j.1540-5915.1997.tb01322.x
  9. Ajzen, I., and Fishbein, M. "Understanding attitudes and predicting social behavior", Prentice-Hall, Englewood Cliffs, NJ. 1980.
  10. Bhattacherjee, A., "An Empirical Analysis of the Antecedents of Electronic Commerce Service Continuance," Decision Support Systems, Vol.32 No..2, pp.201-214, 2001a. https://doi.org/10.1016/S0167-9236(01)00111-7
  11. Bhattacherjee, A., "Understanding Information Systems Continuance: An Expectation-Confirmation Model," MIS Quarterly, Vol.25 No.3, pp.351-370, 2001b. https://doi.org/10.2307/3250921
  12. Brockett, R. G., and Hiemstra, R., "Self-direction in adult learning: Perspectives on Theory," Research, and Practice, London: Routledge. 1991.
  13. Compeau, D.R. and Higgins, C.A., "Computer Self-efficacy: Development of a Measure and Initial Test," MIS Quarterly, Vol.19 No.2, pp.189-221, 1995. https://doi.org/10.2307/249688
  14. Davis, F. D., "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
  15. Deng, X., Doll, W.J. and Truong, D., "Computer Self-Efficacy in an Ongoing Use Context," Behaviour and Information Technology, Vol.23, No.6, pp.395-412, 2004. https://doi.org/10.1080/01449290410001723454
  16. DeTure, M. "Investigating the predictive value of cognitive style and online technology self-efficacy in predicting student success in online distance education course," University of Florida, Florida. 2003.
  17. Igbaria, M., Iivari, J., Maragahh, H. "Why do individuals use computer technology? A finnish case study", Information and Management, Vol.29 No.5, 1995, pp.227-238. https://doi.org/10.1016/0378-7206(95)00031-0
  18. Jasperson, J., Carter, P.E., and Zmud, R. W., "A Comprehensive Conceptualization of Post-Adoptive Behaviors Associated with Information Technology Enabled Work Systems," MIS Quarterly, Vol.29 No3, pp.525-557, 2005. https://doi.org/10.2307/25148694
  19. Johnson, H. Predicting self-directed learning from personality type, Florida Atlantic University. 2001.
  20. Jung, C.G., A psychological theory of types. In collected works, Princeton : Princeton University Press. 1921.
  21. Karahanna, E., Straub, D.W., and Chervany, M.L., "Information Technology Adoption across Time: A Cross-Sectional Comparison of Pre-Adoption And Post-Adoption Beliefs," Mis Quarterly, Vol.23 No.2, pp.183-213, 1999. https://doi.org/10.2307/249751
  22. Kim, S.S., "Development of Computer literacy test and attitude scale for teacher education," University of the Philippines. 1995.
  23. McCoy, C. W., "The relationship of self-directed learning, technological self-efficacy, and satisfaction of adult learners in a digital learning environment," The University of Alabama. 2001
  24. McCune, S. K. "A meta-analysis Study of Adult Self-Direction Review of the Research from 1977 to 1987," Dissertation Abstracts International, Vol.49, 1989.
  25. Melone, N.P., "A Theoretical Assessment of the User-Satisfaction Construct in Information Systems Research," Management Science, Vol.36 No.1, pp.76-91, 1990. https://doi.org/10.1287/mnsc.36.1.76
  26. Myers, I. B., and McCaully, M. H. "Manual : A Guide to Development and Use of the Myers-Briggs Type Indicator", Palo Alto, CA: Consulting Psychologists press. 1985.
  27. Roca, J.C., Chiu, C.M. and Martinez, F.J., "Understanding e-Learning Continuance Intention: An Extension of the Technology Acceptance Model," International Journal of Human-Computer Studies, Vol.64 No.8, August pp. 683-696, 2006. https://doi.org/10.1016/j.ijhcs.2006.01.003
  28. Szajna, B., Scamell, R.W., "The Effects of Information System User Expectations on Their Performance and Perceptions," MIS Quarterly, Vol.17 No4, pp.493-516, 1993. https://doi.org/10.2307/249589
  29. Thong, J.Y.L., Hong, S.J., and Tam, K.Y., "The Effects of Post-Adoption Beliefs on the Expectation-Confirmation Model for Information Technology Continuance," International Journal of Human-Computer Studies, Vol.64 No.8, pp.799-810, 2006. https://doi.org/10.1016/j.ijhcs.2006.05.001
  30. Venkatesh, V., and Davis, F.D. "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
  31. Venkatesh, V., "Creation of favorable user perceptions: exploring the role of intrinsic motivation," MIS Quarterly, Vol.23, pp.239-260, 1999. https://doi.org/10.2307/249753
  32. Willcoxson, L., Chatham, R., "Testing the accuracy of the IT stereotype: Profiling IT managers' personality and behavioural characteristics," Information & Management, Vol.43, pp.697-705, 2006. https://doi.org/10.1016/j.im.2004.04.009