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Social and Personal Dimensions as Predictors of Sustainable Intention to Use Facebook in Korea: An Empirical Analysis

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  • Ilyoo Barry Hong

    (Faculty of Business Administration, Chung-Ang University, Seoul 06974, Korea)

Abstract

The purpose of this research is to investigate the role of social and personal dimensions in predicting sustainable intention to use a social networking site (SNS). We propose and test an integrative SNS acceptance model based on the theory of planned behavior (TPB), the technology acceptance model (TAM), and the social influence theory. Included in the model are the attitudes toward the use of a SNS, the subjective norm, prevalence of information cascades, and the perceived behavioral control as antecedents of intention to use a SNS. An empirical analysis was conducted using data collected from a questionnaire survey with 228 college students in Korea, and it yielded the following findings. First, the two social dimensions, namely subjective norm and information cascade, were each found to have a significant positive relationship with behavioral intention to use a SNS. In particular, information cascades turned out to have a stronger impact than the remaining two antecedents to behavioral intention to use a SNS. Second, perceived usefulness and perceived ease of use were found to have a significant positive influence on the attitude toward SNS use.

Suggested Citation

  • Ilyoo Barry Hong, 2018. "Social and Personal Dimensions as Predictors of Sustainable Intention to Use Facebook in Korea: An Empirical Analysis," Sustainability, MDPI, vol. 10(8), pages 1-16, August.
  • Handle: RePEc:gam:jsusta:v:10:y:2018:i:8:p:2856-:d:163285
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    1. Ritu Agarwal & Jayesh Prasad, 1998. "A Conceptual and Operational Definition of Personal Innovativeness in the Domain of Information Technology," Information Systems Research, INFORMS, vol. 9(2), pages 204-215, June.
    2. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    3. Gary C. Moore & Izak Benbasat, 1991. "Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation," Information Systems Research, INFORMS, vol. 2(3), pages 192-222, September.
    4. Ayeh, Julian K. & Au, Norman & Law, Rob, 2013. "Predicting the intention to use consumer-generated media for travel planning," Tourism Management, Elsevier, vol. 35(C), pages 132-143.
    5. Paul A. Pavlou & David Gefen, 2004. "Building Effective Online Marketplaces with Institution-Based Trust," Information Systems Research, INFORMS, vol. 15(1), pages 37-59, March.
    6. Katz, Michael L & Shapiro, Carl, 1986. "Technology Adoption in the Presence of Network Externalities," Journal of Political Economy, University of Chicago Press, vol. 94(4), pages 822-841, August.
    7. Abhijit V. Banerjee, 1992. "A Simple Model of Herd Behavior," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 107(3), pages 797-817.
    8. Viswanath Venkatesh & Fred D. Davis, 2000. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, INFORMS, vol. 46(2), pages 186-204, February.
    9. Sushil Bikhchandani & David Hirshleifer & Ivo Welch, 1998. "Learning from the Behavior of Others: Conformity, Fads, and Informational Cascades," Journal of Economic Perspectives, American Economic Association, vol. 12(3), pages 151-170, Summer.
    10. Herbert C. Kelman, 1958. "Compliance, identification, and internalization three processes of attitude change," Journal of Conflict Resolution, Peace Science Society (International), vol. 2(1), pages 51-60, March.
    11. Burnkrant, Robert E & Cousineau, Alain, 1975. "Informational and Normative Social Influence in Buyer Behavior," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 2(3), pages 206-215, December.
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