• Journal of Internet Computing and Services
    ISSN 2287 - 1136 (Online) / ISSN 1598 - 0170 (Print)
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A Study on Factors Affecting Innovation Resistance and Intention of Use of Social TV Non-Users: Focused on Innovation Diffusion Theory and Innovation Resistance Model


Byung-Hye Lee, Journal of Internet Computing and Services, Vol. 18, No. 6, pp. 101-112, Dec. 2017
10.7472/jksii.2017.18.6.101, Full Text:  HTML
Keywords: innovation characteristics, perceived risk, innovation resistance, Intention to Use, social TV

Abstract

The purpose of this study was to examine the factors affecting innovation resistance and intention of use of social TV non-users focused on innovation diffusion theory and innovation resistance model. The results were as follows: First, compatibility among perceived innovation characteristics by social TV non-users influenced negatively on innovation resistance, and complexity among perceived innovation characteristics by social TV non-users influenced positively on innovation resistance. Second, perceived risk by social TV non-users influenced positively on innovation resistance. Third, compatibility among perceived innovation characteristics by social TV non-users influenced positively on social TV intention to use. And complexity among perceived innovation characteristics by social TV non-users influenced negatively on social TV intention to use. Fourth, perceived risk by social TV non-users influenced not significantly on social TV intention to use. Fifth, innovation resistance by social TV non-users influenced negatively on social TV intention to use.


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Cite this article
[APA Style]
Lee, B. (2017). A Study on Factors Affecting Innovation Resistance and Intention of Use of Social TV Non-Users: Focused on Innovation Diffusion Theory and Innovation Resistance Model. Journal of Internet Computing and Services, 18(6), 101-112. DOI: 10.7472/jksii.2017.18.6.101.

[IEEE Style]
B. Lee, "A Study on Factors Affecting Innovation Resistance and Intention of Use of Social TV Non-Users: Focused on Innovation Diffusion Theory and Innovation Resistance Model," Journal of Internet Computing and Services, vol. 18, no. 6, pp. 101-112, 2017. DOI: 10.7472/jksii.2017.18.6.101.

[ACM Style]
Byung-Hye Lee. 2017. A Study on Factors Affecting Innovation Resistance and Intention of Use of Social TV Non-Users: Focused on Innovation Diffusion Theory and Innovation Resistance Model. Journal of Internet Computing and Services, 18, 6, (2017), 101-112. DOI: 10.7472/jksii.2017.18.6.101.