Factors affecting resistance and intention to use the smart TV

Journal of Media Business Studies

Volumn 11, Issue 3, 2014, Pages 23-42

  Im, Hyunsuk ^a   Jung, Jaemin ^a   Kim, Youngju ^b   Shin, Dong Hee ^c  

^a Korea Advanced Institute of Science and Technology (KAIST)   (South Korea)

^b Korea Press Foundation   (South Korea)

^c Sungkyunkwan University   (South Korea)

Author keywords

Intention to use; Resistance; Smart TV; Technology acceptance model

Indexed keywords

EID: 84938767171     PISSN: 16522354     EISSN: None     Source Type: Journal    
DOI: 10.1080/16522354.2014.11073583     Document Type: Article

References (49)

1. Bagozzi, R. P., & Yi, Y. (1988). On the evaluation of structural equation models. Journal of the Academy of Marketing Science, 16, 74-94.
2. Bandura, A. (1997). Self-efficacy: The exercise of control: Worth Publishers.
3. Chen, J. V., Yen, D. C., & Chen, K. (2009). The acceptance and diffusion of the innovative smart phone use: A case study of a delivery service company in logistics. Information & management, 46(4), 241-248.
4. Chu, A. Z. C., & Chu, R. J. C. (2011). The intranet's role in newcomer socialization in the hotel industry in Taiwan-technology acceptance model analysis. International Journal of Human Resource Management, 22(5), 1163-1179.
5. Clauser, G. (2010, December 28). What's Next for Google TV?. Electronic House. Retrieved October 30, 2012, from http://www.electronichouse.com/article/whats-next-for-google-tv/.
6. Compeau, D. R., & Higgins, C. A. (1995). Computer self-efficacy: Development of a measure and initial test. MIS quarterly, 19(2), 189-211.
7. Cronbach, L. J. (1971). Test validation. Educational measurement, 2, 443-507.
8. Dabholkar, P. A., & Bagozzi, R. P. (2002). An attitudinal model of technology-based self-service: moderating effects of consumer traits and situational factors. Journal of the Academy of Marketing Science, 30(3), 184-201.
9. Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly, 13 (3) 319-340.
10. Dickerson, M. D., & Gentry, J. W. (1983). Characteristics of adopters and non-adopters of home computers. Journal of Consumer Research, 10(September), 225-235.
11. Display Search. (2011). Quarterly TV Design and Features Report. Retrieved from http://www.displaysearch.com/
12. Dunphy, S., & Herbig, P. A. (1995). Acceptance of innovations: The customer is the key! The Journal of High Technology Management Research, 6(2), 193-209.
13. Durndell, A., & Haag, Z. (2002). Computer self efficacy, computer anxiety, attitudes towards the Internet and reported experience with the Internet, by gender, in an East European sample. Computers in Human Behavior, 18(5), 521-535.
14. Eastin, M. S., & La Rose, R. (2000). Internet self-efficacy and the psychology of the digital divide. Journal of Computer-Mediated Communication, 6(1), 0-0.
15. Ellen, P. S., Bearden, W. O., & Sharma, S. (1991). Resistance to technological innovations: an examination of the role of self-efficacy and performance satisfaction. Journal of the Academy of Marketing Science, 19(4), 297-307.
16. Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50.
17. Fornell, C., Tellis, G. J., & Zinkhan, G. M. (1982). Validity assessment: A structural equations approach using partial least squares. AMA Chicago, 405-409.
18. Gatignon, H., & Robertson, T. S. (1985). A propositional inventory for new diffusion research. Journal of Consumer Research, 11(4), 849-867.
19. Heider, F. (1958). The psychology of interpersonal relations. New York: Wiley
20. Hsu, C. L., Lu, H. P., & Hsu, H. H. (2007). Adoption of the mobile Internet: An empirical study of multimedia message service (MMS). Omega, 35(6), 715-726.
21. Joseph, R. C. (2010). Individual resistance to IT innovations. Communications of the ACM, 53(4), 144-146.
22. Jung, J., Chan-Olmsted, S., Park, B., & Kim, Y. (2012). Factors affecting e-book reader awareness, interest, and intention to use. New Media & Society, 14(2), 204-224.
23. Jupiter Research. (2010). Prospect of STV. Boston, MA: Jupiter Research Inc.
24. KISDI (2013). Korea Information Society Development Institute. KISDI STAT Report. Retrieved from http://www.kisdi.re.kr/
25. Kline, R. B. (2005). Principles and practice of structural equation modeling (2nd ed.). New York: Guilford Press
26. Koufaris, M. (2002). Applying the technology acceptance model and flow theory to online consumer behavior. Information Systems Research, 13(2), 205-223.
27. Lam, P., Lam, J., & McNaught, C. (2010). How usable are eBooks in an mLearning environment? International Journal of Continuing Engineering Education and Life Long Learning, 20(1), 6-20.
28. Laukkanen, T., Sinkkonen, S., Kivijärvi, M., & Laukkanen, P. (2007). Innovation resistance among mature consumers. Journal of Consumer Marketing, 24(7), 419-427.
29. Lee, H., Kim, D., Ryu, J., & Lee, S. (2011). Acceptance and rejection of mobile TV among young adults: A case of college students in South Korea. Telematics and Informatics, 28(4), 239-250.
30. Lee, S. (2012). An integrated adoption model for e-books in a mobile environment: Evidence from South Korea. Telematics and Informatics. In press. doi:10.1016/j.tele.2012.01.006.
31. McDonald, T., & Siegall, M. (1992). The effects of technological self-efficacy and job focus on job performance, attitudes, and withdrawal behaviors. The Journal of Psychology, 126(5), 465-475.
32. Moore, G. C., & Benbasat, I. (1991). Development of an instrument to measure the perceptions of adopting an information technology innovation. Information Systems Research, 2(3), 192-222.
33. Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric theory. New York: McGraw Hill.
34. Osgood, C. E., & Tannenbaum, P. H. (1955). The principle of congruity in the prediction of attitude change. Psychological Review, 62(1), 42.
35. Ram, S. (1987). A model of innovation resistance. Advances in Consumer Research, 14(1), 208-212.
36. Ram, S., & Sheth, J. N. (1989). Consumer resistance to innovations: the marketing problem and its solutions. Journal of Consumer Marketing, 6(2), 5-14.
37. Rogers, E. M. (2003). Diffusion of Innovations (5th ed.). New York: The Free Press.
38. Sheth, J. N. (1981). Psychology of innovation resistance: The less developed concept. Research in Marketing, 4(3), 273-283.
39. Shin, D. H., Hwang, Y., & Choo, H. (2011). Smart TV: are they really smart in interacting with people? Understanding the interactivity of Korean Smart TV. Behaviour & Information Technology, 1-17. DOI:10.1080/0144929X.2011.603360
40. Szmigin, I., & Foxall, G. (1998). Three forms of innovation resistance: the case of retail payment methods. Technovation, 18(6), 459-468.
41. Torkzadeh, G., Chang, J. C. J., & Demirhan, D. (2006). A contingency model of computer and Internet self-efficacy. Information & Management, 43(4), 541-550.
42. Tung, F. C., Lee, M. S., Chen, C. C., & Hsu, Y. S. (2009). An extension of financial cost and TAM model with IDT for exploring users' behavioral intentions to use the CRM information system. Social Behavior and Personality: An International Journal, 37(5), 621-626.
43. Venkatesh, V., & Bala, H. (2008). Technology acceptance model 3 and a research agenda on interventions. Decision Sciences, 39(2), 273-315.
44. Venkatesh, V., & Davis, F. D. (1996). A model of the antecedents of perceived ease of use: Development and test. Decision Sciences, 27(3), 451-481.
45. 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.
46. Wallenstein A. (2013). Stupidity of smart TV. Variety. Retrieved March 13, 2014, from http://variety.com/2013/tv/news/the-stupidity-of-smart-tv-1200480143/
47. Webster, J. G. (2006). Audience flow past and present: Television inheritance effects reconsidered. Journal of Broadcasting & Electronic Media, 50(2), 323-337.
48. Wu, J. H., & Wang, S. C. (2005). What drives mobile commerce?: An empirical evaluation of the revised technology acceptance model. Information & Management, 42(5), 719-729.
49. Zaltman, G., & Wallendorf, M. (1983). Consumer Behavior: Basic Findings and Management Implications. New York: John Wiley & Sons.