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Time Spent on Social Networking Sites: Understanding User Behavior and Social Capital

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  • Tsung‐Sheng Chang
  • Wei‐Hung Hsiao

Abstract

This study uses the amount of time users spend on social networking sites (SNSs) to differentiate user groups and investigates the following three issues: (1) the most common behavior of different groups when using SNS; (2) whether users have different perceptions of their social capital on SNSs versus in real‐life environments; and (3) whether there are differences in the perceived social capital of different groups. This study discovered that users have different user behavior depending on their amounts of usage. In particular, heavy users tend to be willing to share information and often use application programs associated with SNSs. With regard to perceptions of social capital, the study found that different groups have somewhat different ideas as to what constitutes social capital. We summarize a novel individual social capital systematic behavior and discuss the practical implications of this work and suggestions for future research. Copyright © 2013 John Wiley & Sons, Ltd.

Suggested Citation

  • Tsung‐Sheng Chang & Wei‐Hung Hsiao, 2014. "Time Spent on Social Networking Sites: Understanding User Behavior and Social Capital," Systems Research and Behavioral Science, Wiley Blackwell, vol. 31(1), pages 102-114, January.
    • Handle: RePEc:bla:srbeha:v:31:y:2014:i:1:p:102-114
    DOI: 10.1002/sres.2169
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    References listed on IDEAS

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    1. Van den Poel, Dirk & Buckinx, Wouter, 2005. "Predicting online-purchasing behaviour," European Journal of Operational Research, Elsevier, vol. 166(2), pages 557-575, October.
    2. Charla Mathwick & Caroline Wiertz & Ko de Ruyter, 2008. "Social Capital Production in a Virtual P3 Community," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 34(6), pages 832-849, November.
    3. Arnab Chakraborty, 2012. "Recognizing Uncertainty and Linked Decisions in Public Participation: A New Framework for Collaborative Urban Planning," Systems Research and Behavioral Science, Wiley Blackwell, vol. 29(2), pages 131-148, March.
    4. Chia‐Lin Hsu & Kuo‐Chien Chang & Mu‐Chen Chen, 2012. "Flow Experience and Internet Shopping Behavior: Investigating the Moderating Effect of Consumer Characteristics," Systems Research and Behavioral Science, Wiley Blackwell, vol. 29(3), pages 317-332, May.
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    1. Nida Kamal & Sajeela Rabbani & Hina Samdani & Sobia Shujaat & Mubashir Ahmad, 2020. "Social Media Usage, Overload and Exhaustion: A Performance Perspective," International Review of Management and Marketing, Econjournals, vol. 10(5), pages 19-26.

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