An acceptance model for an internet protocol television service in korea with prior experience as a moderator

Service Industries Journal

Volumn 30, Issue 11, 2010, Pages 1883-1901

  Choi, Hun ^a   Kim, Youngchan ^b   Kim, Jinwoo ^b  

^a Catholic University of Pusan   (South Korea)

^b Department of Innovation and Entrepreneurial Marketing   (South Korea)

Author keywords

Experience; Internet protocol television; IP TV service; Moderating effect; Motivation; Technology adoption

Indexed keywords

EMPIRICAL ANALYSIS; INTERNET; MODEL; SERVICE SECTOR; TECHNOLOGY ADOPTION; TELEVISION;

KOREA;

EID: 77956492003     PISSN: 02642069     EISSN: 17439507     Source Type: Journal    
DOI: 10.1080/02642060802627178     Document Type: Article

References (71)

1. Agarwal, R., & Karahanna, E. (2000). Time flies when you're having fun: Cognitive absorption and beliefs about information technology usage. MIS Quarterly, 24(4), 665-694.
2. Ajzen, I., & Fishbein, M. (1980). Understanding attitudes and predicting social behaviour. Englewood Cliffs, NJ: Prentice Hall.
3. Anderson, J.R. (1982). Acquisition of cognitive skill. Psychological Review, 89(1), 369-406.
4. Bentler, P.M., & Speckart, G. (1979). Models of attitude-behaviour relations. Psychological Review, 86(5), 452-464.
5. Castañeda, A., Muñoz-Leiva, F., & Luque, T. (2007). Web acceptance model (WAM): Moderating effects of user experience. Information & Management, 44(4), 384-396.
6. Chang, M.K., & Cheung, W. (2001). Determinants of the intention to use internet/www at work: A confirmatory study. Information & Management, 39(1), 1-14.
7. Chin, W.W. (1998). Issues and opinion on structural equation modeling. MIS Quarterly, 22(1), 7-16.
8. Choi, H., Choi, M., Kim, J., & Yu, H. (2003). An empirical study on the adoption of information appliances with a focus on interactive TV. Telematics and Informatics, 20(2), 161-183.
9. Cohen, J. (1988). Statistical power analysis for the behavioural sciences (2nd ed.). Hillsdale, NJ: Lawrence Erlbaum.
10. Davis, F.D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319-339.
11. Davis, F.D., Bagozzi, R.P., & Warshaw, P.R. (1989). User acceptance of computer-technology - a comparison of two theoretical-models. Management Science, 35(8), 982-1003.
12. Davis, F.D., Bagozzi, R.P., & Warshaw, P.R. (1992). Extrinsic and intrinsic motivation to use computers in the workplace. Journal of Applied Social Psychology, 22(14), 1111-1132.
13. Davis, F.D., & Venkatesh, V. (1996). A critical assessment of potential measurement biases in the technology acceptance model: Three experiments. International Journal of Human-Computer Studies, 45(1), 19-45.
14. Deci, E.L., & Ryan, R.M. (1985). Intrinsic motivation and self-determination in human behaviour. New York: Plenum Press.
15. Dishaw, M.T., & Strong, D.M. (1998). Experience as a Moderating Variable in a Task-technology Fit Model. Paper presented at the proceedings of the 4th Americas Conference on Information Systems, Baltimore, MA.
16. Domine, T. (2006). R u experienced? Event view 2006 global report documents the global events marketing landscape. The Meeting Professional, 26(9) (http://www.mpiweb.org/Archive/66/11.aspx).
17. Eagly, A.H., & Chaiken, S. (1993). The psychology of attitudes. Orlando, FL: Harcourt Brace Jovanovich.
18. Ericsson, K.A. (1998). The scientific study of expert levels of performance: General implications for optimal learning and creativity. High Ability Studies, 9(1), 75-100.
19. Fazio, R.H., & Zanna, M.P. (1978). On the predictive validity of attitudes: The roles of direct experience and confidence. Journal of Personality, 46(2), 228-243.
20. Festinger, L. (1957). A theory of cognitive dissonance. CA: Stanford University Press.
21. Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention, and behaviour: An introduction to theory and research. Reading, MA: Addison-Wesley.
22. Forenll, C., & Larcker, D. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50.
23. Gefen, D., Karahanna, E., & Straub, D.W. (2003a). Inexperience and experience with online stores: The importance of TAM and trust. IEEE Transactions on Engineering Management, 50(3), 307-321.
24. Gefen, D., Karahanna, E., & Straub, D.W. (2003b). Trust and TAM in online shopping: An integrated model. MIS Quarterly, 27(1), 51-90.
25. Gohen, W., & Levinthal, D. (1990). Absorptive capacity: A new perspective on learning and innovation. Administrative Science Quarterly, 35(1), 128-152.
26. Hulland, J. (1999). Use of partial least squares (PLS) in strategic management research: A review of four recent studies. Strategic Management Journal, 20(2), 195-204.
27. Karahanna, E., Straub, D.W., & Chervany, M.L. (1999). Information technology adoption across time: A cross-sectional comparison of pre-adoption and post-adoption beliefs. MIS Quarterly, 23(2), 183-213.
28. Keil, M., Tan, B.C., Wei, K.K., & Saarinen, T. (2000). A cross-cultural study on escalation of commitment behaviour in software projects. MIS Quarterly, 24(2), 299-325.
29. Klein, G.A. (1993). A recognition-primed decision model of rapid decision making. In G. Klein, J. Orasanu, R. Calderwood, & C.E. Zsambok (Eds.), Decision making in action: Models and methods (pp. 138-147). Norwood, NJ: Ablex Publishing Corporation.
30. Klopping, I.M., & McKinney, E.J. (2006). Practice makes a difference: Experience and e-commerce. Information Technology, Learning, and Performance Journal, 24(1), 25-37.
31. Lee, M.K.O., Cheung, C.M.K., & Chen, Z. (2005). Acceptance of internet-based learning medium: The role of extrinsic and intrinsic motivation. Information & Management, 42(8), 1095-1104.
32. Lu, J., Yu, C.S., Liu, C., & Yao, J.E. (2003). Technology acceptance model for wireless internet. Internet Research: Electronic Networking Applications and Policy, 13(3), 206-222.
33. Mathieson, K., Peacock, E., & Chin, W.W. (2001). Extending the technology acceptance model: The influence of perceived user resources. The DATA BASE for Advances in Information Systems, 32(3), 86-112.
34. Matsuo, M., & Kusumi, T. (2002). Salesperson's procedural knowledge, experience and performance. European Journal of Marketing, 36(7/8), 840-854.
35. McCormick, R. (1997). Conceptual and procedural knowledge. International Journal of Technology and Design Education, 7(1-2), 141-159.
36. Morris, M.G., & Dillon, A. (1997). How user perceptions influence software use. IEEE Software, 14(4), 58-65.
37. Multimedia Research Group. (June 2010). IP TV Global Forecast - 2010 to 2014 - Semi annual IP TV Global Forecast Report.
38. Pearson, A., Wiechula, R., Court, A., & Lockwood, C. (2007). A reconsideration of what constitutes evidence in the healthcare professions. Nursing Science Quarterly, 20(1), 85-88.
39. Preece, J., Rogers, Y., Sharp, H., Benyon, D., Holland, S., & Carey, T. (1994). Human-computer interaction. Boston: Addison-Wesley.
40. Regan, D.T., & Fazio, R.H. (1977). On the consistency between attitudes and behaviour: Look to the method of attitude formation. Journal of Experimental Social Psychology, 13(1), 28-45.
41. Richman, H.B., Gobet, F., Staszewski, J.J., & Simon, H.A. (1996). Perceptual and memory processes in the acquisition of expert performance: The EPAM model. In K.A. Ericsson (Ed.), The road to excellence: The acquisition of expert performance in the arts and sciences, sports, and games (pp. 167-187). Mahwah, NJ: Lawrence Erlbaum Associates.
42. Rogers, E.M. (1995). Diffusion of innovations (4th ed.). New York: The Free Press.
43. Russell, S. (2007, March 23). Experiential joins the marketing party. B&T Weekly, 57, 8-8.
44. Ryan, R.M., & Deci, E.L. (2000). Intrinsic and extrinsic motivations: Classic definitions and new directions. Contemporary Educational Psychology, 25(1), 54-67.
45. Schwarz, A., Junglas, I., & Krotov, V. (2004). An Experimental Study on the Role of Experience and Compatibility in Adapting Mobile Technologies. Paper presented at the proceedings of the10th Americas Conference on Information Systems, New York.
46. Segars, A.H., & Grover, V. (1993). Re-examining perceived ease of use and usefulness: A confirmatory factor analysis. MIS Quarterly, 17(4), 517-525.
47. Shang, R.A., Chen, Y.C., & Shen, L. (2005). Extrinsic versus intrinsic motivation for consumers to shop on-line. Information & Management, 42(3), 401-413.
48. Shengnan, H. (2003). Individual adoption of IS in organisations: A literature review of technology acceptance model (TUCS Technical Report, No. 540, 1-45). Finland: Turku Centre for Computer Science, ISBN: 952-12-1189-X.
49. Shin, D.H. (2007). Potential user factors driving adoption of IP TV. What are customers expecting from IP TV? Technological Forecasting and Social Change, 74(8), 1446-1646.
50. Straub, D.W., Keil, M., & Brenner, W. (1997). Testing the technology acceptance model across cultures: A three country study. Information & Management, 33(1), 1-11.
51. Sun, H., & Zhang, P. (2006a). Causal relationships between perceived enjoyment and perceived ease of use: An alternative approach. Journal of Association for Information Systems, 7(9), 618-645.
52. Sun, H., & Zhang, P. (2006b). The role of moderating factors in user technology acceptance. International Journal of Human-Computer Studies, 64(2), 53-78.
53. Szajna, B. (1996). Empirical evaluation of the revised technology acceptance model. Management Science, 42(1), 85-92.
54. Taylor, S., & Todd, P.A. (1995). Assessing it usage: The role of prior experience. MIS Quarterly, 19(4), 561-570.
55. Teo, T.S.H., Lim, V.K.G., & Lai, R.Y.C. (1999). Intrinsic and extrinsic motivation in internet usage. Omega-International Journal of Management Science, 27(1), 25-37.
56. Thompson, R.L., Higgins, C.A., & Howell, J.M. (1991). Personal computing: Toward a conceptual model of utilization. MIS Quarterly, 15(1), 125-143.
57. Thompson, R.L., Higgins, C.A., & Howell, J.M. (1994). Influence of experience on personal computer utilization: Testing a conceptual model. Journal of Management Information Systems, 11(1), 167-187.
58. Tractinsky, N., Katz, A.S., & Ikar, D. (2000). What is beautiful is usable. Interacting with Computers, 13(2), 127-145.
59. Triandis, H.C. (1971). Attitude and attitude change. New York: Wiley.
60. Van der Heijden, H. (2004). User acceptance of hedonic information systems. MIS Quarterly, 28(4), 695-704.
61. Venkatesh, V. (2000). Determinants of perceived ease of use: Integrating control, intrinsic motivation, and emotion into the technology acceptance model. Information Systems Research, 11(4), 342-365.
62. Venkatesh, V., & Brown, S.A. (2001). A longitudinal investigation of personal computers in homes: Adoption determinants and emerging challenges. MIS Quarterly, 25(1), 71-102.
63. Venkatesh, V., & Davis, F.D. (1996). A model of antecedents of perceived ease of use: Development and test. Decision Sciences, 27(3), 451-481.
64. Venkatesh, V., & Davis, F.D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186-204.
65. Venkatesh, V., Morris, M.G., Davis, G.B., & Davis, F.D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425-478.
66. White, J.C., Varadarajan, P.R., & Dacin, P.A. (2003). Market situation interpretation and response: The role of cognitive style, organizational culture, and information use. Journal of Marketing, 67(3), 63-79.
67. Wixom, B.H., & Watson, H.J. (2001). An empirical investigation of the factors affecting data warehousing success. MIS Quarterly, 25(1), 17-41.
68. Yi, Y.J., & Gong, T.S. (2008). The effects of customer justice perception and affect on customer citizenship behaviour and customer dysfunctional behaviour. Industrial Marketing Management, 37(7), 767-783.
69. Yi, M.Y., & Hwang, Y. (2003). Predicting the use of web-based information systems: Self-efficacy, enjoyment, learning goal orientation, and the technology acceptance model. International Journal of Human-Computer Studies, 59(4), 431-449.
70. Yu, J., Ha, I., Choi, M., & Rho, J. (2005). Extending the TAM for a t-commerce. Information & management, 42(7), 935-976.
71. Zanna, M.P., & Rempel, J.K. (1988). Attitudes: A new look at an old concept. In D. Bar-Tal & A. Kruglanski (Eds.), The social psychology of knowledge (pp. 315-334). New York: Cambridge University Press.