DOI QR코드

DOI QR Code

Moderating Effects of Personal Innovativeness in Mobile Banking Service

모바일뱅킹에서 개인혁신성의 조절효과

  • Received : 2012.12.18
  • Accepted : 2013.03.10
  • Published : 2013.03.31

Abstract

모바일뱅킹은 빠르게 성장하고있으며 은행서비스의 많은 부분이 모바일뱅킹에서 제공되고 있다. 하지만, 모바일뱅킹을 사용자들이 수용하는데 개인의 혁신성이 어떠한 영향을 미치는지에 대한 연구는 많이 이루어지지 않고 있다. 불행히도 모바일뱅킹은 그 특성상 제한된 화면을 사용자들이 사용하기가 용이하지 않다. 본 연구는 개인혁신성(PI)의 관점에서 모바일뱅킹을 수용하는데 영향을 미치는 요인을 밝히고 자하였다. 특히 다른 정보시스템에서 많이 사용된 지각된 유용성(USF) 및 사용의 용이성(EOU) 변수뿐만 아니라 지각된 즐거움(ENJ)의 요인을 추가하여 모바일뱅킹 수용에서 영향요인을 분석하고자 하였다. 또한, 본 연구에서는 336명의 모바일뱅킹의 사용자들에게 설문을 실시하였으며, 응답자들을 두 그룹(개인 혁신성이 높은 그룹과 낮은 그룹)으로 분류하여 구조방정식모형에서 집단간차이를 분석하였다. 본 연구결과 개인 혁신성(PI) 모바일뱅킹 수용에 영향을 미치는 것으로 분석되었다. 세부적으로 분석해 보면 개인혁신성이 높은 그룹이 낮은 그룹 보다 더 많은 영향을 받는 것으로 분석되었다. 특히, 사용의도와 사용의 유용성 그리고 지각된 즐거움 사이의 경로계수 값의 크기가 개인혁신성이 높은 그룹이 낮은 그룹보다 높았다. 여기서 지각된 즐거움의 경우 개인 혁신성이 높은 그룹이 낮은 그룹 보다 더 많은 영향을 받는 것으로 분석되었다. 이러한 연구의 결과는 모바일뱅킹 서비스의 성장과 확대에 실무적으로 사용할 수 있을 것으로 분석된다.

Keywords

References

  1. Adams, D.A., Nelson, R.R., and Todd, P.A."Perceived usefulness, ease of use, and usage of information technology: a replication", MIS Quarterly , Vol.16, No.2, 1992, pp. 227-247. https://doi.org/10.2307/249577
  2. 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, 2000, pp.665-694. https://doi.org/10.2307/3250951
  3. Agarwal, R. and Prasad, J., "A Conceptual and Operational Definition of Personal Innovativeness in the Domain of Information Technology", Information Systems Research, Vol.9, No.2, 1998, pp. 204-215. https://doi.org/10.1287/isre.9.2.204
  4. Agarwal, R., Ahuja, M., Carter, P.E. and Gans, M., "Early and Late Adopters of IT Innovations: Extensions to Innovation Diffusion Theory", Diffusion Interest Group in Information Technology (DIGIT) Conference, 1998.
  5. Ajzen, I. and Fishbein, M., Understanding Attitudes and Predicting Social Behavior. Prentice-Hall, Englewood Cliffs, New Jersey, 1980.
  6. Ajzen, I., From intentions to actions: a theory of planned behavior. in: J. Kuhl, J. Beckmann, (Ed.), Action Control: From Cognition to Behavior, Springer Verlag, New York, 1985.
  7. Atkinson, M.A. and Kydd, C., "Individual Characteristics Associated with World Wide Web Use: An Empirical Study of Playfulness and Motivation", Data Base for Advances in Information Systems, Vol.28, No.2, 1997, pp. 53-62. https://doi.org/10.1145/264701.264705
  8. Bank of Korea, 1st Quarter Internet Banking Usage State in Korea, 2008.4.24, http://www.bok.or.kr, 2008.
  9. Carte, T.A. and Russell, C.J., "In Pursuit of Moderation: Nine Common Errors and Their Solutions", MIS Quarterly, Vol.27, No.3, 2003, pp. 479-502.
  10. Chin, W.W., Frequently Asked Questions- Partial Least Squares and PLS-Graph, 2004(http://disc-nt.cba.uh.edu/chin/ plsfaq/ plsfaq.htm).
  11. Chin, W.W., Marcolin, B.L. and Newsted, P.R., "A partial least squares latent variable modeling approach for measuring interaction effects: Results from a Monte Carlo simulation study and an electronic mail adoption study", Information Systems Research, Vol.14, No.2, 2003, pp. 189-217. https://doi.org/10.1287/isre.14.2.189.16018
  12. Chin, W.W., The Partial Least Squares Approach to Structural Equation Modeling, in: G.A. Marcoulides (Ed.), Modern Methods for Business Research, Lawrence Erlbaum, Mahway, NJ, 1998.
  13. Clearly, T.A., "Test Bias: Prediction of Grades of Negro and White Students in Integrated Colleges", Journal of Educational Measurement, No.5, 1968, pp.115-124.
  14. Cohen, J. and Cohen, P., Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences, L. Erlbaum Associates, Hillsdale, NJ, 1983.
  15. Csikszentmihalyi, M., Beyond Boredom and Anxiety. San Francisco, Jossey-Bass, 1975.
  16. Davis, F.D., "Perceived usefulness, perceived ease of use, and user acceptance of information technology", MIS Quarterly, Vol.13, No.3, 1989, pp.319-339. https://doi.org/10.2307/249008
  17. Davis, F.D., Bagozzi, R.P. and Warshaw, P.R., "Extrinsic and intrinsic motivation to use computers in the workplace", Journal of Applied Social Psychology, Vol.22, 1992, pp.1111-1132. https://doi.org/10.1111/j.1559-1816.1992.tb00945.x
  18. 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, 1989, pp. 982-1003. https://doi.org/10.1287/mnsc.35.8.982
  19. Fornell, C. and Bookstein, F.L., "Two structural equation models: LISREL and PLS applied to consumer exit-voice theory", Journal of Marketing Research, Vol.19, 1982, pp. 440-452. https://doi.org/10.2307/3151718
  20. Gefen, D. and Straub, D.W., "The Relative Importance of Perceived Ease of Use in IS Adoption: A Study of E- Commerce Adoption", Journal of the Association for Information Systems, Vol.1, 2000, pp.1-28
  21. Gefen, D., Straub, D.W, "Gender Differences in the Perception and Use of E-Mail: An Extension to the Technology Acceptance Model", MIS Quarterly, Vol.21, No.4, 1997, pp. 389-400. https://doi.org/10.2307/249720
  22. Gefen, D., Straub, D.W., and Boudreau, M.C., "Structural Equation Modeling and Regression: Guidelines for Research Practice", Communications of the Associations for Information Systems, Vol.4, No.7, 2000, pp. 1-80.
  23. Goodhue, D.L. and Thompson, R.L., "Task Technology Fit and Individual Performance", MIS Quarterly, Vol.19, No.2, pp. 213-236.
  24. Hong, S.J. and Tam, K.Y., "Understanding the adoption of multipurpose information appliances: The case of mobile data services", Information Systems Research, Vol.17, No.2, 2006, pp.162-179. https://doi.org/10.1287/isre.1060.0088
  25. Hong, S.J., Tam, K.Y. and Kim, J.W., "Mobile data service fuels the desire for uniqueness", Communications of the ACM, Vol.49, No.9, 2006b, 80-95.
  26. Hong, S.J., Thong, J., and Tam, K.Y., "Understanding continued usage behaviour in the context of Mobile Internet: A test of three models", Decision Support Systems, Vol.42, 2006a, pp.1819-1834. https://doi.org/10.1016/j.dss.2006.03.009
  27. Hsu, C.L. and Lu, H.P., "Why do people play on-line games? An extended TAM with social influences and flow experience", Information & Management, Vol.41, No.7, 2004, 853-879 https://doi.org/10.1016/j.im.2003.08.014
  28. Hu, P.J., Chau, Y.K., Sheng, R.L. and Tam, K.Y., "Examining the technology acceptance model using physician acceptance of telemedicine technology", Journal of Management Information Systems, Vol.16, No.2, 1999, pp. 91-112.
  29. Jonscher, C., "Information resources and economic productivity", Information Economics and Policy, Vol. 1, 1983, pp. 13-35. https://doi.org/10.1016/0167-6245(83)90016-1
  30. Katz, J.A., Playing at innovation in the computer revolution, in: M. Frese, E. Ulich, W. Dzida, (Ed.), Psychological Issues of Human Computer Interaction in the Work Place, Amsterdam, North- Holland, 1987.
  31. Keil, M., Tan, B.C.Y., Wei, K.K., Saarinen, T., Tuunainen, V.K. and Wassenaar, A., "A Cross-Cultural Study on Escalation of Commitment Behavior in Software Projects", MIS Quarterly, Vol.24, No.2, 2000, pp. 299-226. https://doi.org/10.2307/3250940
  32. KIEC, Korea e-Business White Paper, 2004.
  33. Korea Times, Mobile Banking Competition in High Gear, 2003.
  34. Lederer, A., Maupin, D.J., Sena, M. and Zhuang, Y., "The technology acceptance model and the World Wide Web", Decision Support Systems, Vol.29, 2000, pp. 269-282. https://doi.org/10.1016/S0167-9236(00)00076-2
  35. Lee, Y.K., Lee, P.S., Chung, N. And Park, J.H., "The Comparative Analysis on Channel Preferences between Internet and Mobile Banking: Transaction Costs Theory Perspective", The e-Business Studies, Vol.9, No.2, 2008, pp.25-46. https://doi.org/10.15719/geba.9.2.200806.25
  36. Leonard-Barton, D. and Deschamps, I., "Managerial Influence in the Implementation of New Technology", Management Science, Vol. 34, No.10 1988, pp. 1252-1265. https://doi.org/10.1287/mnsc.34.10.1252
  37. Linn, R.L., Ability Testing: Individual Differences, Prediction, and Differential Prediction, in: A.K. Wigdor, W.R. Garnder (Eds.), Ability Testing: Uses, Consequences, and Controversies: Part II, National Academy Press, Washington DC, 1982.
  38. Lohmoller, J.B., "The PLS program system: Latent variables path analysis with partial least squares estimation", Multivariate Behavioral Research, Vol.23, No.1, 1989, pp. 125-127.
  39. Luarn, P. and Lin, H.H., "Toward an Understanding of the Behavioral Intention to Use Mobile Banking", Computers in Human Behavior, Vol.21, No.6, 2004, pp. 873-891
  40. Mathieson, K., "Predicting user intentions: comparing the technology acceptance model with the theory of planned behavior", Information Systems Research, Vol.2, No.3, 1991, pp. 173-191. https://doi.org/10.1287/isre.2.3.173
  41. Midgley, D.F. and Dowing, G.R., "Innovativeness: The concept and Its Measurement", Journal of Consumer Research, Vol. 4, 1978, pp. 229-242. https://doi.org/10.1086/208701
  42. Mullen, M.R., "Diagnosing Measurement Equivalence in Cross-National Research", Journal of International Business Studies, Vol.26, N0.3, 1995, pp.573-596. https://doi.org/10.1057/palgrave.jibs.8490187
  43. Pagani, M. "Determinants of Adoption of Third Generation Mobile Multimedia Services". Journal of Interactive Marketing, Vol.18, No.3, 2004, pp.46-59, https://doi.org/10.1002/dir.20011
  44. Reynolds, C.R. and Paget, K.D., "Factor Structure in the Revised Children's Manifest Anxiety Scale for Blacks, Whites, Males and Females with a National Normative Sample", Journal of Consulting and Clinical Psychology, Vol. 49, 1982, pp. 352-359.
  45. Rogers, E.M., Diffusion of Innovations (5th ed.), The Free Press, New York, 2003.
  46. Rose, G. and Straub, D., "Predicting General IT Use: Applying TAM to the Arabic World", Journal of Global Information Management, Vol.6, No.3, 1998, pp. 39-47. https://doi.org/10.4018/jgim.1998070104
  47. Sandelands, L.E., Asford, S.J. and Dutton, J.E., "Reconceptualizing the overjustification effect: a template-matching approach", Motivation and Emotion, Vol.7, No.3, 1983, pp. 229-255. https://doi.org/10.1007/BF00991675
  48. Shaw, M.J., Gardner, D.M. and Thomas, H., "Research opportunities in electronic commerce", Decision Support Systems, Vol.21, 1997, pp.149-156. https://doi.org/10.1016/S0167-9236(97)00025-0
  49. Singh, J., "Measurement Issues in Cross National Research", Journal of International Business Studies, Vol.26, No.3, 1995, pp.597-619. https://doi.org/10.1057/palgrave.jibs.8490188
  50. Sjazna, B., "Software evaluation and choice predictive validation of the technology acceptance instrument", MIS Quarterly, Vol.18, 1994, pp. 319-324. https://doi.org/10.2307/249621
  51. Starbuck, W. and Webster, J., " When is play productive?", Accounting, Management and Information Technologies. Vol.1, No.1, 1991, pp.71-90. https://doi.org/10.1016/0959-8022(91)90013-5
  52. Stone-Romero, E.F. and Anderson, L.E., "Techniques for Detecting Moderating Effects: Relative Statistical Power of Multiple Regression and the Comparison of Subgroup-Based Correlation Coefficients", Journal of Applied Psychology, Vol.79, 1994, pp. 354-359. https://doi.org/10.1037/0021-9010.79.3.354
  53. Straub, D., Keil, M. and Brenner, W., "Testing the Technology Acceptance Model Across Cultures: A Three Country Study", Information & Management, Vol.33, No.1,1997, pp. 1-11. https://doi.org/10.1016/S0378-7206(97)00026-8
  54. Taylor, S. and Todd, P., "Assessing IT Usage: The Role of Prior Experience", MIS Quarterly, Vol.19, No.4, 1995, pp. 561-570. https://doi.org/10.2307/249633
  55. Triandis, H.C., "Values, Attitudes and Interpersonal Behavior", In Nebraska Symposium on Motivation, Beliefs, Attitudes and Values, Lincoln, NE: University of Nebraska Press, 1979, pp.195-259.
  56. Triandis, H.C., Interpersonal Behavior, Pacific Grove, CA: Brooks/Cole, 1977.
  57. Van der Heijden, H., "User acceptance of hedonic information systems", MIS Quarterly, Vol.28, No.4, 2004, pp.695-704.
  58. Van der Heijden, H., Verhagen, T. and Creemers, M., "Predicting online purchase behavior: Replications and tests of competing models", Proceedings of the 34th Hawaii international Conference on System Sciences, Maui, HI: IEEE Computer Society Press, 2001.
  59. Venkatesh, V. and Davis, F.D., "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies", Management Science, Vol.46, No.2, 2000, pp.186-204. https://doi.org/10.1287/mnsc.46.2.186.11926
  60. Venkatesh, V. and Morris, M.G., "Why Don't Men Ever Stop to Ask for Directions? Gender, Social Influence, and Their Role in Technology Acceptance and Usage Behavior", MIS Quarterly, Vol.24, No.1, 2000, pp.115-139. https://doi.org/10.2307/3250981
  61. Venkatesh, V., "Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model", Information Systems Research, Vol.11, No.4, 2000, pp. 342-365. https://doi.org/10.1287/isre.11.4.342.11872
  62. Venkatesh, V., Morris, M.G., Davis, G.B. and Davis, F.D., "User acceptance of information technology: toward a unified view", MIS Quarterly, Vol.27, No.3, 2003, pp. 425-478.
  63. Webster, J. and Martocchio, J.J., "Microcomputer playfulness: Development of a measure with workplace implications", MIS Quarterly, Vol.16, No.1, 1992, pp. 201-224. https://doi.org/10.2307/249576
  64. Webster, J., Heian, J.B. and Michelman, J.E., "Computer training and computer anxiety in the educational process: an experimental analysis", Proceedings of the Eleventh International Conference on Information Systems, 16-19 December, Copenhagen, Denmark; 1990, pp. 171-182