An Empirically Study on the Adoption of Mobile Wireless Technology(MWT): Social and Cognitive Influence Process

무선이동기술(Mobile Wireless Technology) 수용 및 이용의 사회적, 경험적 영향과정에 관련된 요소들에 대한 연구

  • Published : 2006.12.31

Abstract

Given the increasing of adoption of use of Mobile Wireless Technology(MWT), this study aims at investigating the key influencing determinants of individuals' MWT adoption and use. Based on the Technology Acceptance Model(TAM), the research model proposed new constructs and casual relations, Perceived Safety(PS), Perceived Costs(PC), Company's Willingness to Fund(CWF), and Experience(E) as a moderator. The model was tested using Structural Equation Modeling(SEM) using AMOS 5.0 analysis on the sample collected from 387 MBA and Executive MBA students of several domestic and foreign universities. The results show that not only the variables, except Perceived Usefulness, in the original TAM model, but also new variables in the research model had a significant influence on other variables. The implications of the findings suggest a new theoretical framework for future IS/IT research and offers suggestions that the developers of MWT should consider regarding the technology

무선이동기술 사용의 급속히 증가하는 추세에 발맞춰, 본 연구는 개인의 무선이동기술 수용과 사용에 영향을 미치는 요소들을 이론화하여, 실증적으로 증명하는데 연구의 목적을 두고 있다. 본 연구에서는 기술수용 연구에서 그 타당성을 높이 인정 받은 Davis(1989)의 기술수용모형(TAM)을 기초로 하여, 무선이동기술 수용에 미치는 새로운 변수인 지각된 안전, 지각된 비용, 기업의 투자의지를 제안하고, 경험을 조절변수로써 연구모형에 포함하였다. 본 연구에서 제안된 연구모형은 국내 외 몇몇 경영대학원 및 최고경영자과정의 총 387명으로부터 수집한 데이터를 SPSS AMOS 5.0를 이용해 구조방정식 분석을 하였다. 그 결과 기술수용모형의 지각된 유용성을 제외한 모든 변수가 개인의 무선이동기술 수용에 중요한 영향을 미친다고 판명되었다. 본 연구가 가지는 시사점은 향후 정보시스템 연구에서 새로운 이론적인 틀을 제공하였을 뿐 아니라, 실제 무선이동기술 개발자 및 기업들이 고려해야 될 요소들에 제안하기도 하였다.

Keywords

References

  1. 문용은, 정유진, '모바일뱅킹 사용의도의 영향요인에 관한 연구', 정보시스템연구, 제13권, 제2호,2004
  2. 최혁라, 신정신, '사용자의 신기술반응이 신서비스 수용에 미치는 영향: 모바일뱅킹 서비스를 중심으로', 한국산업경제학회, 제19권, 제1호,2006
  3. 이선로, 조성민, '모바일 기기의 수용형태와 사용에 관한 연구: PDA 시스템을 중심으로', 경영학연구, 제34권, 제4호,2005
  4. Adams, D., R. Nelson, and P. Todd, '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
  5. Agarwal, R. and J. Prasad, 'Are individual differences germane to the acceptance of new information technologies?', Decision Sciences, Vol.30, No.2, 1999, pp. 361-391 https://doi.org/10.1111/j.1540-5915.1999.tb01614.x
  6. Al-Gahtani, S. and M. King, 'Attitudes, satisfaction and usage: factors contributing to each in the acceptance of information technology', Behavior and Information Technology, Vol.18, No.4, 1999, pp. 277-297 https://doi.org/10.1080/014492999119020
  7. Barclay, D., R. Thompson, and C. Higgins, 'The partial least squares (pls) approach to causal modeling: Personal computer adoption and use as an illustration', Technology Studies, Vol.2, 1995, pp. 285-309
  8. Bashshur, R., J. Sanders, and G. Shannon, Telemedicine: Theory and Practice, Charles Thomas, Springfield, IL, 1997
  9. Bauer, R., 'Consumer Behavior as Risk Taking, in Risk Taking and Information Handling in Consumer Behavior', D. Cox (ed.) Harvard University Press, Cambridge, Mass, 1967
  10. Bender, P. M., 'Comparative fit indexes in structural models', Psychological Bulletin, Vol.107, 1990, pp. 238-246 https://doi.org/10.1037/0033-2909.107.2.238
  11. Bollen, K., Structural Equations with Latent Variables, Wiley, New York, 1989
  12. Brailer, D. and E. Terasawa, 'Use and adoption of computer-based patient records', The Informatics Review, Vol.7, No.24, 2004, pp. 1-42
  13. Bresnahan, F. and M. Trajtenberg, 'General purpose technologies: engines of growth?', Journal of Econometris, Vol.65, No.1, 1995, pp. 83-108 https://doi.org/10.1016/0304-4076(94)01598-T
  14. Browne, M. and R. Cudeck, 'Alternative ways of assessing model fit', In Bollen, K.A. and Long, J.S. [Eds.] Testing structural equation models, Newbury Park, CA: Sage, 1993, pp. 136-162
  15. Carmines, E. and J. McIver, 'Analyzing models with unobserved variables', In Bohrnstedt, G.W. and Borgatta, E.F. [Eds.] Social measurement: Current issues, Beverly Hills: Sage, 1981
  16. Carroll, J. and E. Hartnell-Young, 'Available just enough: the mobile phone as a safety net for parents and their teenage children', The Life of Mobile Data: Technology, Mobility and Data Subjectivity conference, University of Surrey, 2004
  17. Carroll, J., S. Howard, J. Peck, and J. Murphy, 'A field study of Perceptions and use of mobile telephones by 16 to 22 year olds', Journal of Information Technology Theory and Application (JITTA), Vol.4, No.2, 2002, pp. 49-62
  18. Chau, P., 'An empirical assessment of a modified Technology Acceptance Model', Journal of Management Information Systems, Vol.13, No.2, 1996, pp.185-203 https://doi.org/10.1080/07421222.1996.11518128
  19. Clarke, C., 'Coming attraction', Wireless Review, Vol.17, No.12, 2000, pp. 12-16
  20. Constantiou, I., J. Damsgaard, and L. Knutsen, 'Investigating mobile services adoption and diffusion in the Danish market', IRIS27 working conference: Learn IT, Know IT, Move IT. August 14-17, 2004, Falkenberg, Sweden
  21. Dabholkar, P., 'Consumer evaluations of new technology-based self-service options: an investigation of alternative models of service quality', International Journal of Research in Marketing, Vol.13, No.1, 1996, pp. 29-51 https://doi.org/10.1016/0167-8116(95)00027-5
  22. Danaher, P., B. Hadie, and W. Putsis, 'Marketing-mix variables and the diffusion of successive generations of a technological innovation', Journal of Marketing Research, Vol.38, 2001, pp. 501-514 https://doi.org/10.1509/jmkr.38.4.501.18907
  23. Davis, D., 'Cellular telephones and pagers in Hawaii: cultural influences on personal use patterns', Department of Communication Working Paper, University of Hawaii, 1995
  24. Davis, F., 'Perceived usefulness, perceived ease of use interface, and user acceptance of information technology', MIS Quarterly, Vol.13, No.3, 1989, pp. 319-340 https://doi.org/10.2307/249008
  25. Davis, F., 'User acceptance of information technology: system characteristic, user perceptions and behavioral impacts', International Journal of Man-Machine Studies, Vol. 38, 1993, pp. 475-487 https://doi.org/10.1006/imms.1993.1022
  26. Davis, F., R. Bagozzi, and P. Warshaw, '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
  27. Davis, F. and V. Venkatesh, 'A critical assessment of potential measurement biases in the Technology Acceptance Model: three experiments', International Journal of Human Computer Studies, Vol.45, No.1, 1996, pp. 19-45 https://doi.org/10.1006/ijhc.1996.0040
  28. Dowling, G. and R. Staelin, 'A model of perceived risk and intended risk-handling activity', Journal of Consumer Research, Vol.21, 1994, pp. 119-134 https://doi.org/10.1086/209386
  29. Fishbein, M. and I. Ajzen, Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research, Addison-Wesley, Reading, MA, 1975
  30. George, J. F., 'Influences on the intent to make internet purchases', Internet Research: Electronic Networking Applications and Policy, Vol.12, No.2, 2002, pp. 165-180 https://doi.org/10.1108/10662240210422521
  31. Guinan, P. J., J. G. Cooprider, and S. Sawyer, 'The Effective Use of Automated Application Development Tools', IBM Systems Journal, Vol.36, No.1, 1997, pp. 124-139 https://doi.org/10.1147/sj.361.0124
  32. Hartwick, J. and H. Barki, 'Explaining the role of user participation in information system use', Management Science, Vol.40, No.4, 1994, pp. 440-465 https://doi.org/10.1287/mnsc.40.4.440
  33. Horton, R., T. Buck, P. Waterson, and C. Clegg, 'Explaining intranet use with the Technology Acceptance Model', Journal of Information Technology, Vol.16, No.4, 2001, pp. 237-249 https://doi.org/10.1080/02683960110102407
  34. Hu, P., P. Chau, O. Sheng, and K. Tam, 'Examining the Technology Acceptance Model using physician acceptance of telemedicine', Journal of Management Information Systems, Vol.16, No.2, 1999, pp. 91-112
  35. Iacovou, C., I. Benbasat, and A. Dexter, 'Electronic data interchange and small organizations: adoption and impact of technology', MIS Quarterly, Vol.19, No.4, 1995, pp. 465-485 https://doi.org/10.2307/249629
  36. Igbaria, M., T. Guimaraes, and G. Davis, 'Testing the determinants of microcomputer usage via a structural equation model', Journal of Management Information Systems, Vol.11, No.4, 1995, pp. 87-114 https://doi.org/10.1080/07421222.1995.11518061
  37. Igbaria, M., F. Pavri, and S. Huff, 'Microcomputer application: an empirical look at usage', Information and Management, Vol.16, No.4, 1989, pp. 187-96 https://doi.org/10.1016/0378-7206(89)90036-0
  38. Jarvenpaa, S. and N. Tractinsky, 'Consumer trust in an internet store: a cross-cultural validation', Journal of Computer Mediated Communication, Vol.5, No.2, 1999, pp. 1-35
  39. Jiang, J., M. Hsu, G. Klein, and B. Lin, 'E-commerce user behavior model: an empirical study', Human Systems Management, Vol.19, No.4, 2000, pp. 265-276
  40. Johnson, M., Agile Methodologies: Survey Results, Shine Technologies, Victoria, Australia, 2002
  41. Kleijnen, M., M. Wetzels, and K. Ruyter, 'Consumer acceptance of wireless finance', Journal of Financial Services Marketing, Vol.8, No.3, 2004, pp. 206-217 https://doi.org/10.1057/palgrave.fsm.4770120
  42. Korgaonkar, P. and G. Moschis, 'Consumer adoption of videotex services', Journal of Direct Marketing, Vol.1, No.4, 1987, pp. 63-71
  43. Kwon, H. and L. Chidambaram, 'A test of the Technology Acceptance Model - the case of cellular telephone adoption', Proceedings of the 33rd Annual Hawaii International Conference on System Sciences (RICSS), IEEE Compute Society, Press, Los Alamitos, 2000
  44. Liang, H., Y. Xue, and T. Bryd, 'PDA usage in healthcare professionals: testing an extended Technology Acceptance Model', International Journal of Mobile Communications (IJMC), Vol.1, No.4, 2003, pp. 372-389 https://doi.org/10.1504/IJMC.2003.003992
  45. Lim, S. and Y. Tan, 'Old people and new media in wired societies: exploring the socio-digital divide in Singapore', Media Asia, Vol.30, No.2, 2003, pp. 95-102
  46. Little, L., P. Briggs, L. Coventry, and D. Wakelin, 'Attitudes towards technology use in public areas: what factors influences mobile telephone use?', Conference on Human Factors in Computing Systems, Ft. Lauderdale, Florida, 2003
  47. Lu, H. and D. Gustafsen, 'An empirical study of perceived usefulness and perceived ease of use on computerized support system use overtime', International Journal of Information Management, Vol.14, No.5, 1994, pp. 317-329 https://doi.org/10.1016/0268-4012(94)90070-1
  48. Lu, J., C. Yu, C. Liu, and J. Yao, 'Technology Acceptance Model for wireless internet', Internet Research: Electronic Networking Applications and Policy, Vol.13, No.3, 2003, pp. 206-222 https://doi.org/10.1108/10662240310478222
  49. 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. 173-91 https://doi.org/10.1287/isre.2.3.173
  50. McGinity, M., 'Staying connected: flying wireless with a net', Communications of the ACM, Vol.42, No.12, 1999, pp. 19-21
  51. Moore, G. and L. Benbasat, 'Development of an instrument to measure the perceptions of adoption in information technology innovation', Information Systems Research, Vol.2, No.3, 1991, pp. 192-222 https://doi.org/10.1287/isre.2.3.192
  52. Nunnally, J. C., Psychometric Theory, New York: McGraw-Hill, 1967
  53. Oliver, R. and W. Bearden, 'Crossover effects in the Theory of Reasoned Action: a moderating influence attempt', Journal of Consumer Research, Vol.12, No.3, 1985, pp. 324-340 https://doi.org/10.1086/208519
  54. Palen, L., 'Mobile telephony in a connected life', Communications of the ACM, Vol.45, No.3, 2002, pp. 78-82 https://doi.org/10.1145/504729.504732
  55. Parasurarnan, A., 'Technology Readiness Index (TRI): a multiple-item scale to measure readiness to embrace new technologies', Journal of Service Research, Vol.2, No.4, 2000, pp. 307-320 https://doi.org/10.1177/109467050024001
  56. Pedersen, P., 'Adoption of mobile internet services: an exploratory study of mobile commerce early adopters', Journal of Organizational Computing and Electronic Commerce, Vol.15, No.3, 2005, pp. 203-222 https://doi.org/10.1207/s15327744joce1503_2
  57. Pedersen, P., H. Nysveen, and H. Thorbjonsen, 'Identity expression in the adoption of mobile services: The case of multimedia messaging services', SNF Working Paper no. 26/03, 2003. Retrieved 2006, 03.30 from http://ikt.hia.no/perep/mms_study. pdf
  58. Roger, E. M., Diffusion of Innovations, 4th ed., Free Press, New York, NY, 1995
  59. Schaijk, P., B. Van, and J. Warren, 'Clinical acceptance of a low-cost portable System for postural assessment', Behavior & Information Technology, Vol.21, No.1, 2002, pp. 47-57 https://doi.org/10.1080/01449290110107236
  60. Sherif, K. and A. Vinze, 'A qualitative model for barriers to software reuse adoption', Proceeding of the 20th international conference on Information Systems, 1999, pp. 47-63
  61. Stam, K., J. Stanton, and I. Guzman, 'Employee resistance to digital information and information technology change in a social service agency: a membership category approach', Journal of Digital Information (JoDI), Vol.5, No.4, 2004
  62. Szajna, B., 'Empirical evaluation of the revised Technology Acceptance Model', Management Science, Vol.42, No.1, 1996, pp. 85-92 https://doi.org/10.1287/mnsc.42.1.85
  63. Taylor, S. and P. Todd, 'Understanding information technology usage: a test of competing models', Information Systems Research, Vol.6, No.2, 1995a, pp. 144-176 https://doi.org/10.1287/isre.6.2.144
  64. Taylor, S. and P. Todd, 'Assessing IT usage: the role of prior experience', MIS Quarterly, Vol.19, No.4, 1995b, pp. 561-570 https://doi.org/10.2307/249633
  65. Telecom Trends International, 'Mobile commerce takes off', 2004, pp. 1-195
  66. Teo, T., V. Lim, and R. Lai, 'Intrinsic and extrinsic motivation in internet usage', Omega, International Journal of Management Science, Vol.2, No.1, 1999, pp. 25-37
  67. Thompson, R. L., C. A. Higgins, and J. M. Howell, 'Influence of Experience on Personal Computer Utilization: Testing a Conceptual Model', Journal of Management Information Systems, Vol.11, No.1, 1994, pp. 167-187 https://doi.org/10.1080/07421222.1994.11518035
  68. Triandis, H., Interpersonal Behavior, Brooks/Cole, Monterey, CA, 1977
  69. Venkatesh, V., 'Creation of favorable user perceptions: exploring the role of intrinsic motivation', MIS Quarterly, Vol.23, No.2, 1999, pp. 239-260 https://doi.org/10.2307/249753
  70. Venkatesh, V. and F. Davis, 'A model of the antecedents of perceived ease of use: development and test', Decision Sciences, Vol.27, No.3, 1996, pp. 451-481 https://doi.org/10.1111/j.1540-5915.1996.tb01822.x
  71. Venkatesh, V. and F. Davis, '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
  72. Venkatesh, V. and M. Morris, 'Why don't men ever stop to ask directions? gender, social influence, and their role in technology acceptance and usage behavior', MIS Quarterly, Vol.24, No.1, 2000, pp. 15-139
  73. Vrechopoulos, A., I. Constantiou, N. Mylonopoulos, I. Sideris, and G. Doukidis, 'The critical role of consumer behavior research in mobile commerce', International Journal of Mobile Communication, Vol.1, No.3, 2002, pp. 329-340
  74. Yu, J., I. Ha, M. Choi, and J. Rho, 'Extending TAM for a t-commerce', Information and Management, Vol.42, No.7, 2005, pp. 965-976 https://doi.org/10.1016/j.im.2004.11.001
  75. Zinatelli, N., P. Cragg, and A. Cavaye, 'End user computing sophistication and success in small firms', European Journal of Information Systems, Vol.5, No.3, 1996, pp. 172-181 https://doi.org/10.1057/ejis.1996.23
  76. Zmud, R., 'Individual differences and MIS success: a review of the empirical literature', Management Science, Vol.25, No.10, 1979, pp. 966-979 https://doi.org/10.1287/mnsc.25.10.966