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Flow Experience and Self-Traits as Antecedents of Facebook Addiction: Factorial Validity of the Daily Facebook Addiction Scale

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  • Tsai-Wei Huang
  • Guan-Han Wu
  • Han-Chao Chang

Abstract

Facebook has become indispensable in social interactions. Unmarried users may find a date or life partner by uploading attractive photos of themselves or messaging their crushes. This study developed the Daily Facebook Addiction Scale (DFAS), which focuses on using mobile devices to access Facebook. The aims were explored how flow experience is created based on the self-traits of Facebook users and analyzed the relationship between flow experience and Facebook addiction. Data was obtained 401 participants through the Internet, in total, 231 were addicted to Facebook, that is, they accessed it for >2 hours a day. This study indicated: (1) users’ concentration and interactivity had a positive effect on creating flow experience but enjoyment did not. (2) Respondents’ flow experiences had a significant effect on Facebook addiction. (3) The subfactors of a respondent’s self-traits individually had positive effects on flow experience and Facebook addiction, and self-control generated the most significant effect. Three antecedents, namely self-traits, flow experience, and Facebook addiction, do indeed affect each other.

Suggested Citation

  • Tsai-Wei Huang & Guan-Han Wu & Han-Chao Chang, 2019. "Flow Experience and Self-Traits as Antecedents of Facebook Addiction: Factorial Validity of the Daily Facebook Addiction Scale," International Business Research, Canadian Center of Science and Education, vol. 12(1), pages 1-15, January.
    • Handle: RePEc:ibn:ibrjnl:v:12:y:2019:i:1:p:1-15
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    References listed on IDEAS

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    1. Hoffman, Donna L. & Novak, Thomas P., 2009. "Flow Online: Lessons Learned and Future Prospects," Journal of Interactive Marketing, Elsevier, vol. 23(1), pages 23-34.
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    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • F31 - International Economics - - International Finance - - - Foreign Exchange
    • F41 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Open Economy Macroeconomics

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