Browse > Article
http://dx.doi.org/10.6109/jkiice.2014.18.4.848

A Meta-analysis and Review of External Factors based on the Technology Acceptance Model : Focusing on the Journals Related to Smartphone in Korea  

Nam, Soo-Tai (Department of Information Management, Institute of Convergence and Creativity, Wonkwang University)
Shin, Seong-Yoon (Department of Computer Information Engineering, Kunsan National University)
Jin, Chan-Yong (Division of Information and Electronic Commerce, Institute of Convergence and Creativity, Wonkwang University)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.18, no.4, 2014 , pp. 848-854 More about this Journal
Abstract
A Meta-analysis refers to a statistical literature synthesis method from the quantitative results of many known empirical studies. We conducted a meta-analysis and review of external factors based on the technology acceptance model for Smartphone-related researches. This study surveyed 106 research papers that established causal relationships in the technology acceptance model published in Korean academic journals during 2008 and 2013. The result of the meta-analysis might be summarized that the playfulness has the highest effect size in the path from external factors to the perceived usefulness, with the effect size(0.536). Also the self efficacy showed the highest effect size(0.626) in the path from external factors to the perceived ease of use. Based on these findings, several theoretical and practical implications were suggested and discussed with the difference from previous researches.
Keywords
Meta analysis; Technology acceptance model; Playfulness; Self efficacy;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
연도 인용수 순위
1 F. D. Davis, "Perceived usefulness ease of use, and use acceptance of information technology," MIS Quarterly, vol. 13, no. 3, pp. 319-340, 1989.   DOI   ScienceOn
2 V. Venkatesh and H. Bala, "Technology acceptance model 3 and a research agenda on interventions," Decision Sciences, vol. 39, no. 2, pp. 273-315, 2008.   DOI   ScienceOn
3 V. Venkatesh, "Creation of favorable user perceptions : The role of Intrinsic motivation," MIS Quarterly, vol. 23, no. 1, pp. 239-260, 1999.   DOI   ScienceOn
4 Q. Ma and L. Liu, "The technology acceptance model: A meta-analysis of empirical findings," Journal of Organizational and End User Computing, vol. 16, no. 1, pp. 59-74, 2004.
5 S. T. Nam, D. G. Kim and C. Y. Jin, "A study on the continuous intention to use for Smartphone based on the innovation diffusion theory : Considered on the loyalty between users of iOS and Android platform," Journal of the Korea Institute of Information and Communication Engineering, vol. 17, no. 5, 2013.   과학기술학회마을   DOI   ScienceOn
6 S. Y. Baek, "In Search of Moderators in the Technology Acceptance Model with Meta-Analysis," Korea Business Review, vol.38, no. 5, pp. 1353-1380, 2009.
7 S. T. Nam and C. Y. Jin, "A Meta-analysis of Relationship between Constructs of the Technology Acceptance Model: Focusing on the Research Papers Published for Smartphone in Korea Journals," Asia-Pacific Journal of Business Venturing and Entrepreneurship, vol 8, no. 4, 2013.
8 F. D. Davis, R. P. Bagozzi and P. R. Warshaw, "User acceptance of computer technology : A comparison of two theoretical models," Management Science, vol. 35, no. 1, pp. 982-1003, 1989.   DOI   ScienceOn
9 Y. K. Kim, "An integrated theoretical model on the relationships between the related factors of the technology acceptance model," The Journal of Industrial Innovation, vol. 25, no. 2, pp. 1639-1670, 2012.
10 S. T. Nam, D. G. Kim, H. C. Lee, S. Y. Shin and C. Y. Jin, "A Meta-analysis on the Behavioral Intention for Information Technology in Korea," Journal of the Korea Institute of Information and Communication Engineering, vol. 17, no. 11, 2013.   과학기술학회마을   DOI   ScienceOn
11 G. V. Glass, "Primary, secondary, and meta-analysis of research," Educational Researcher, vol. 5, no. 10, pp. 3-8, 1976.
12 S. S. Oh, Meta-analysis : theory and Practice, Konkuk University Publication, 2009.
13 R. G. Orwin, "A fail-safe N for effect size," Journal of Educational Statistics, vol. 8, no. 2, pp. 157-159, 1983.