An empirical investigation of a modified technology acceptance model of IPTV

Behaviour and Information Technology

Volumn 28, Issue 4, 2009, Pages 361-372

  Shin, Dong Hee ^a  

^a PENNSYLVANIA STATE UNIVERSITY   (United States)

Author keywords

IPTV; Structural equation model; Technology acceptance model; User modelling

Indexed keywords

CONVERGENCE TECHNOLOGIES; CONVERGENT TECHNOLOGIES; EMPIRICAL INVESTIGATION; INFORMATION QUALITY; IPTV; PERCEIVED ENJOYMENT; PERCEIVED QUALITY; PERCEIVED USEFULNESS; POSITIVE EFFECTS; SOCIAL INFLUENCE; STRUCTURAL EQUATION MODEL; STRUCTURAL EQUATION MODELLING; SYSTEM QUALITY; TAM MODEL; TECHNOLOGY ACCEPTANCE MODEL; THEORETICAL MODELS; USER ACCEPTANCE; USER MODELLING;

COMPUTER CRIME; RESEARCH; TECHNOLOGY; TELEVISION BROADCASTING;

MATHEMATICAL MODELS;

EID: 70449589510     PISSN: 0144929X     EISSN: 13623001     Source Type: Journal    
DOI: 10.1080/01449290701814232     Document Type: Article

References (43)

1. Aladwani, A. and Palvia, P., 2002. Developing and validating an instrument for measuring user-perceived web quality. Information and Management, 39, 467-476.
2. Bagozzi, R.P. and Yi, Y., 1988. On the evaluation of structural equation models. Journal of the Academy of Marketing Science, 16, 4-94.
3. Beyah, G., et al., 2003. Development of an instrument to study the use of recommendation systems. In: Proceedings of AMCIS, 4-6 August, Tampa, FL.
4. Browne, M. and Cudeck, R., 1993. Alternative ways of assessing model fit. In: K.A. Bollen and J.S. Long, eds. Testing Structural Equation Models. Newbury Park, CA: Sage, 136-162.
5. Cheong, J. and Park, M., 2005. Mobile internet acceptance in Korea. Internet Research, 15, 125-140.
6. Davis, F.D., 1989. Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13, 319-339.
7. Davis, F.D., Bagozzi, R.P., and Warshaw, P.R., 1992. Extrinsic and intrinsic motivation to use computers in the workplace. Journal of Applied Social Psychology, 22, 1111-1132.
8. DeLone, W. and McLean, E., 1992. Information systems success: The quest for the dependent variable. Information Systems Research, 3, 60-95.
9. Fogelgren-Pedersen, A., 2005. The mobile internet: The pioneering users' adoption decisions. In: Proceedings of the 38th Annual Hawaii International Conference on System Sciences, Big Island, HI, 3, p. 84b.
10. Gartner Group, IPTV Prediction. Gartner Group Research Report, Winter 2006.
11. Gefen, D. and Straub, D.W., 1997. Gender differences in the perception and use of e-mail: An extension to the technology acceptance model. MIS Quarterly, 21, 389-400.
12. Hair, J., et al., 1988. Multivariate Data Analysis (5th edition). Upper Saddle River, NJ: Prentice Hall.
13. Harris, A., 2005, White paper of enabling IPTV: what carriers need to know to succeed, May 2005, IDC Analyze the Future Series Report.
14. Heijden, H., 2003. Factors influencing the usage of websites: The case of a generic portal in The Netherlands. Information and Management, 40, 541-549.
15. Heijden, H., 2004. User acceptance of hedonic information systems. MIS Quarterly, 23, 695-704.
16. Hung, S., Ku, C., and Chang, C., 2003. Critical factors of WAP services adoption: An empirical study. Electronic Commerce Research and Applications, 2, 42-60.
17. Igbaria, M., Parasuraman, S., and Baroudi, J.J., 1996. A motivational model of microcomputer usage. Journal of Management Information Systems, 13, 127-143.
18. Joreskog, K. and Sorbom, D., 1993. SPSS LISREL 8: Users Reference Guide. Chicago, IL: SPSS.
19. Liao, Z. and Cheung, M.T., 2001. Internet-based e-shopping and consumer attitudes: An empirical study. Information and Management, 38, 299-306.
20. Lin, J. and Lu, H., 2000. Towards an understanding of the behavioral intention to use a web site. International Journal of Information Management, 20, 197-208.
21. Lu, J., et al., 2003. Technology acceptance model for wireless Internet. Internet Research, 13, 206-222.
22. Moon, J. and Kim, Y., 2001. Extending the TAM for a World-Wide-Web context. Information and Management, 38, 217-230.
23. Morris, M. and Dillon, A., 1997. How user perceptions influence software use. IEEE Software, 14, 58-65.
24. Nunnally, J., 1978. Psychometric Methods. New York, NY: McGraw-Hill.
25. Nysveen, H., et al., 2005. Mobilizing the brand. Journal of Service Research, 7, 257-276.
26. Peter, J.P., 1981. Construct validity: A review of basic issues and marketing practices. Journal of Marketing Research, 18, 133-135.
27. Pijpers, G.G.M., et al., 2001. Senior executives use of information technology. Information and Software Technology, 43, 959-971.
28. Rogers, E., 1995. Diffusion of Innovations (4th edition). New York: The Free Press.
29. Shang, R., Chen, Y., and Shen, L., 2005. Extrinsic versus intrinsic motivations for consumers to shop on-line. Information and Management, 42, 401-413.
30. Shin, D., 2006. Convergence of telecommunications, media and information technology, and implications for regulation. INFO: The Journal of Policy, Regulation, and Strategy for Telecommunications, 8, 42-56.
31. Shin, D., 2007. Potential user factors driving adoption of IPTV: What are Customers Expecting from IPTV? Technological Forecasting and Social Change, 74, 1446-1464.
32. Song, K., 2005. Prospectus of IPTV. Electronics and telecommunications research institute research publication, special issue on IPTV, Summer 2005.
33. Suh, B. and Han, I., 2003. The impact of customer trust and perception of security control on the acceptance of electronic commerce. International Journal of Electronic Commerce, 73, 135-161.
34. Taplin, J., 2005. The IPTV revolution. Paper presented at The Network Society and the Knowledge Economy: Portugal in the Global Context, May 2005, Portugal.
35. Teo, T., Lim, V., and Lai, R., 1999. Intrinsic and extrinsic motivation in Internet usage. OMEGA, 27, 25-37.
36. Teo, T., Tan, M., and Peck, S., 2004. Adopters and nonadopters of internet stock trading in Singapore. Behaviour & Information Technology, 23, 211-223.
37. Trocchia, P. and Janda, S., 2003. How do consumers evaluate Internet retail service quality. Journal of Service Marketing, 17, 245-253.
38. Venkatesh, V., 2000. Determinants of perceived ease of use: Integrating control, intrinsic motivation, and emotion into the technology acceptance model. Information Systems Research, 11, 342-365.
39. Venkatesh, V., et al., 2003. User acceptance of information technology: Toward a unified view. MIS Quarterly, 27, 425-478.
40. Wu, J. and Wang, S., 2005. What drives mobile commerce?: An empirical evaluation of the revised technology acceptance model. Information and Management, 42, 719-729.
41. Yankee Group, 2006. IPTV Outlook: Cross countries overview. Yankee Group Research Publication Series 2006.
42. Yu, J., et al., 2005. Extending the TAM for a t-commerce. Information and management, 42, 965-976.
43. Zhang, P. and Sun, H., 2006. The role of moderating factors in user technology acceptance. International Journal of Human-Computer Studies, 64, 53-78.