Browse > Article
http://dx.doi.org/10.5392/IJoC.2012.8.3.012

A Study on Acceptance and Resistance of Smart TVs  

Lee, Sung-Joon (Department of Journalism and Communication Studies Cheongju University)
Publication Information
International Journal of Contents / v.8, no.3, 2012 , pp. 12-19 More about this Journal
Abstract
This study investigated what factors affect consumers' decision making concerning the adoption of smart TVs. For this purpose, the integrated adoption model that consists of six major constructs from the diffusion of innovation theory (DIT), the technology acceptance model (TAM), and the model of innovation resistance(MIR) was employed. To collect data, an online survey was used. Data collected were analyzed with the structural equation model (SEM). Findings showed that the innovativeness has a positive influence on the both of perceived usefulness and perceived ease of use. It was also shown that both of perceived usefulness and perceived ease of use affect the intention to use smart TVs in a positive way. The innovation resistance has a negative influence on the intention to use. The mediating role of the innovation resistance was also found. The implications of these results are discussed.
Keywords
Diffusion of Innovation Theory; Technology Acceptance Model; Model of Innovation Resistance; Structural Equation Model; Smart TV;
Citations & Related Records
연도 인용수 순위
  • Reference
1 C.-S. Moon, and M.-J. Choi, "The Explanatory Study on the Effect of Smart TV Appearance on Domestic Broadcasting Environment", Korean Journal of Broadcasting and Telecommunication Studies, vol. 73, Dec. 2010, pp. 147-170.
2 S. Ram, "A Model of Innovation Resistance", Advanced in Consumer Research XIV, 1987, pp. 208-212.
3 E. M. Rogers, Diffusion of Innovation, Free Press, New York, 1995.
4 F. D. Davis, "Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology", MIS Quarterly, vol. 13, no.5, 1989, pp. 319-340.   DOI   ScienceOn
5 J. W. Jeong, H. Hong, and D. Lee, "Ontology-based Automatic Video Annotation Technique in Smart TV Environment", IEEE Transactions on Consumer Electronics, vol. 57, no. 4, 2010, pp.1830-1836.
6 LG Business Insights, The Difference in Their Evolutions between Smartphones and Smart TVs, http://www.lgeri.com/industry/electronic/articleasp?grouping-01030200&seq=486.
7 Digieco, Trend and Implication of the Media Market Change Caused by Evolution into Smart TV, http://www.digieco.co.kr/KTFront/report/report_strategy_view.action?board_seq=3971&board_id=strategy.
8 J. Lim, The Current Trend and Forecast of Smart TV, http://plum.hufs.ac.kr/hsn2011/pdf/S2-1.pdf.
9 Digitalnews.net, Connected TVs Forecast to Exceed 123M Units in 2014, http://www.digtalnews.net/content/?p=18961.
10 Jupiter Research, Prospect of STV, Jupiter Research Inc, Boston, 2010.
11 Digieco, Transformation of TV, Smart TV, http://www.digieco.co.kr/KTFfront/report_report_issue_trend_view.action?board=seq=6425&board_id=issue_trend.
12 Koreatimes, KT to Limit Access of Smart TVs to Its Network, http://www.koreatimes.co.kr/www/news/biz/2012/02/123_104529.html.
13 D.H. Shin, Y.S. Hwang, and H. Choo, "Smart TV: Are They Really Smart in Interacting with People? Understanding the Interactivity of Korean Smart TV", Behavior & Information Technology, In press.
14 Marketpublisher, Global Smart/Connected/Hybrid TV Market Forecast by Accessories, Platforms, Middleware, Application & Geography Analysis 2011-2016, http://marketpublisher.com/report/technologies_electronics/semiconductors/global_smartconnectedhybrid_tv_market_forecast_by_accessories_platforms_middleware_application_geography_analysis_2011_2016.htm.
15 Wikipeia, Smart TV, http://en.wikipedia.org/wiki/smart_TV.
16 J. West, and M. Mace, "Browsing as the Killer App: Explaining the Rapid Success of Apple's iphone", Telecommunications Policy, vol. 34, no. 5, 2010, pp. 270-286.   DOI   ScienceOn
17 SmartMediaPlatfomrs, Samsung's New Smart TV has Facial, Voice Recognition, http://www.smartmediaplatforms.com/news/Samsungs-new-smart-tv-has-facialvoice-recognition.html.
18 M. Kleijnen, N. Lee, and M. Wetzels, "An Exploration of Consumer Resistance to Innovation and Its Antecedents", Journal of Economic Psychology, vol. 30, no. 3, 2009, pp. 1-14.   DOI   ScienceOn
19 T. Laukkanen, S. Sinkkonen, M. Kivijaryi, and P. Laukkanen, "Innovation Resistance among Mature Consumers", Journal of Consumer Marketing, vol. 24, no. 7, 2007, pp. 419-427.   DOI   ScienceOn
20 H. Lee, J. Ryu, D. Kim, and S. Lee, "Acceptance and Rejection of Mobile TV among Young Adults: A Case of College Students in South Korea", Telematics and Informatics, vol. 28, no. 4, 2011, pp. 239-250.   DOI   ScienceOn
21 M. W. Browne, and R. Cudeck, "Alternative Ways of Assessing Model Fit", Sociology Methods & Assessing Model Fit, vol. 21, no. 2, 1992, pp. 230-258.
22 C. Fornell, and D. F. Larker, "Evaluating Structural Equation Models with Unobserved Variable and Measurement Error", Journal of Marketing, vol. 18, no. 1, 1981, pp. 39-50.   DOI   ScienceOn
23 J. C. Anderson, and D. W.Gerbing, "Structural Equation Modeling in Practice: A Review and Recommended Two-Step Approache", Psychological Bulletin, vol. 103, no. 2, 1988, pp. 411-423.   DOI
24 J. N. Sheth, "Psychology of Innovation Resistance: the Less Developed Concept (LDC), in Diffusion Research", Research in Marketing, vol. 4, no. 3, pp. 273-282.
25 F-C. Tung, S-C. Chang, and C-H. Chou, "An Extension of Trust and TAM model with DIT in the Adoption of the Electronic Logistics Information System in HIS in the Medical Industry", International Journal of Medical Informatics, vol. 77, 2008, 324-335.   DOI   ScienceOn
26 B. Park, "Integrated Adoption Model of New Media", Korean Journal of Journalism and Communication Studies, vol. 55, no. 5, 2011, 449-479.
27 C. Yu, and Y. Tao, "Understanding Business-Level Innovation Technology Adoption", Technovation, vol. 29, 2009, pp. 92-109.   DOI   ScienceOn
28 E. M. Rogers, and F. Shoemaker, Diffusion of Innovation, Free Press, New York, 1971.
29 V. Venkatesh, "Technology Acceptance Model 3 and A Research Agenda on Intervention", Decision Sciences, vol. 39, no. 2, 2008, pp. 273-315.   DOI   ScienceOn
30 D. F. Midgely, and G. R. Dowling, "Innovativeness: The Concept and Its Measurement", Journal of Consumer Research, vol. 4, 1978, pp. 229-242.   DOI   ScienceOn
31 Y. Hwang, "The Impact of Uncertainty Avoidance, Social Norms and Innovativeness on Trust and Ease of Use in Electronic Customer Relationship Management", Electron Markets, vol. 19, no. 2, 2009, pp. 89-98.   DOI
32 K. Yang, "The Effects of Technology Self-Efficacy and Innovativeness on Consumer Mobile Data Service Adoption between American and Korean Consumers", Journal of International Consumer Marketing, vol. 22, no. 2, 2010, pp. 117-127.   DOI   ScienceOn
33 M. S. Featherman, and P. A. Pavlou, "Predicting Eservices Adoption: A Perceived Risk Facets Perspectives", International Journal of Human-Computer Studies, vol. 59, no.4, 2003, pp. 451-474.   DOI   ScienceOn
34 M, Lee., "Factors Influencing the Adoption of Internet Banking: An Integration of TAM and TPB with Perceived Risk and Perceived Benefit", Electronic Commerce Research and Application, vol. 8, no. 3, 2009, pp. 130-141.   DOI   ScienceOn
35 Y. Kang, and S. Kim, "Understanding User Resistance to Participation in Multihop Communication", Journal of Computer-Mediated Communication, vol. 14, no. 2, 2009, pp. 328-351.   DOI
36 S. Ram, and J. N. Sheth, "Consumer Resistance to Innovations: The Marketing Problems and Its Solutions", Journal of Consumer Marketing, vol. 6, no. 2, 1989, pp. 5-14.
37 M. K. Kim, and J.H. Park, "Demand Forecasting and Strategies for the Successful Deployment of the Smart TV in Korea", Advanced Communication Technology, 2011, pp. 1475-1478.