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Influence of SNS User Innovativeness and Public Individuation on SNS Usage Patterns and Social Capital Development: The Case of Facebook.

Authors :
Choi, Jieun
Kim, Hyun Jung
Source :
International Journal of Human-Computer Interaction. 2016, Vol. 32 Issue 12, p921-930. 10p.
Publication Year :
2016

Abstract

This paper studies the correlation between users’ psychological traits and their social network sites (SNS) usage patterns, and the correlation between SNS usage patterns and the development of social capital as it relates to Facebook. Individual personality traits, including user innovativeness and public individuation, are proposed to be positively correlated with SNS usage patterns such as usage rate and diversification of use. This study specifically classifies social capital into two types—bridging vs. bonding—based on Social Capital Theory, and examines the correlation between SNS usage patterns and social capital development. To investigate the proposed hypotheses of this study, SNS users in Korea were surveyed and a structural equation model was used to analyze and verify the hypotheses. The results showed that users exhibiting both a high degree of innovativeness and public individuation use SNS more frequently and in more diverse ways than users who exhibited lower degrees of innovativeness and public individuation. It was also found that SNS usage patterns are correlated with social capital. The results of this study contribute to SNS-related research work as this study focuses on the development of social capital—a key concept behind the creation and use of SNS—and allows for a deeper understanding of how the psychological traits of individual users affect SNS usage patterns and the development of social capital. This study also offers insights to the corporate sector by providing practical guidelines on how to utilize SNS more effectively. [ABSTRACT FROM PUBLISHER]

Details

Language :
English
ISSN :
10447318
Volume :
32
Issue :
12
Database :
Academic Search Index
Journal :
International Journal of Human-Computer Interaction
Publication Type :
Academic Journal
Accession number :
119092758
Full Text :
https://doi.org/10.1080/10447318.2016.1220067