• Journal of Internet Computing and Services
    ISSN 2287 - 1136 (Online) / ISSN 1598 - 0170 (Print)
    https://jics.or.kr/

Factors of Leading the Adoption of Diet/Exercise Apps on Smartphones: Application of Channel Expansion Theory


Jaehee Cho, Sun Jin Kim, Journal of Internet Computing and Services, Vol. 16, No. 1, pp. 101-0, Feb. 2015
10.7472/jksii.2015.16.1.101, Full Text:
Keywords: Diet/Exercise Apps, Internet Information Use Efficacy, Internet Information Credibility, Channel Expansion Theory, Technology Acceptance Model

Abstract

This study paid attention to the notable increase of the use of diet/exercise apps on smartphones. Based on channel expansion theory and technology acceptance model (TAM), this study investigated how three predictors-Internet information use efficacy, Internet information credibility, smartphone use efficacy-affected one's attitude toward and intention to use diet/exercise apps. Results from a path analysis indicated that Internet information use efficacy and smartphone use efficacy positively predict the perceived ease of use of diet/exercise apps. Internet information credibility positively predicts the perceived usefulness of such apps. Moreover, there were gender differences in the effects of both Internet information use efficacy and Internet information credibility on the perceived usefulness of diet/exercise apps.


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Cite this article
[APA Style]
Cho, J. & Kim, S. (2015). Factors of Leading the Adoption of Diet/Exercise Apps on Smartphones: Application of Channel Expansion Theory. Journal of Internet Computing and Services, 16(1), 101-0. DOI: 10.7472/jksii.2015.16.1.101.

[IEEE Style]
J. Cho and S. J. Kim, "Factors of Leading the Adoption of Diet/Exercise Apps on Smartphones: Application of Channel Expansion Theory," Journal of Internet Computing and Services, vol. 16, no. 1, pp. 101-0, 2015. DOI: 10.7472/jksii.2015.16.1.101.

[ACM Style]
Jaehee Cho and Sun Jin Kim. 2015. Factors of Leading the Adoption of Diet/Exercise Apps on Smartphones: Application of Channel Expansion Theory. Journal of Internet Computing and Services, 16, 1, (2015), 101-0. DOI: 10.7472/jksii.2015.16.1.101.