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Predicting intention to share news through social media: An empirical analysis in Indonesian youth context

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  • Sabrina Oktaria Sihombing,

Abstract

The development of digital technology encourages the growth of social media. Social media becomes a platform for sharing news, information, images, and many other things. News spreads faster and becomes viral. This phenomenon can be regarded as a "news-find-me" phenomenon. The aim of this research is to assess the relationship between information sharing, entertainment, and socialization as three main predictors of attitude towards news sharing. This research also assesses the relationship between attitude and intention to share news. The data was collected through a survey with the non-probability sampling technique. Specifically, a purposive sampling design involving 200 respondents was applied. The data then were analyzed by applying structural equation modeling. Results show that all research hypotheses were supported.

Suggested Citation

  • Sabrina Oktaria Sihombing,, 2017. "Predicting intention to share news through social media: An empirical analysis in Indonesian youth context," Business and Economic Horizons (BEH), Prague Development Center, vol. 13(4), pages 468-477, October.
    • Handle: RePEc:pdc:jrnbeh:v:13:y:2017:i:4:p:468-477
    DOI: 10.15208/beh.2017.32
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    References listed on IDEAS

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    1. Kaplan, Andreas M. & Haenlein, Michael, 2010. "Users of the world, unite! The challenges and opportunities of Social Media," Business Horizons, Elsevier, vol. 53(1), pages 59-68, January.
    2. Heungsik Park & John Blenkinsopp, 2009. "Whistleblowing as Planned Behavior – A Survey of South Korean Police Officers," Journal of Business Ethics, Springer, vol. 85(4), pages 545-556, April.
    3. Anne Boomsma, 1985. "Nonconvergence, improper solutions, and starting values in lisrel maximum likelihood estimation," Psychometrika, Springer;The Psychometric Society, vol. 50(2), pages 229-242, June.
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    Cited by:

    1. Saura, Jose Ramon & Palacios-Marqués, Daniel & Ribeiro-Soriano, Domingo, 2023. "Exploring the boundaries of open innovation: Evidence from social media mining," Technovation, Elsevier, vol. 119(C).

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    More about this item

    Keywords

    Information sharing; entertainment; socialization; attitude; intention;
    All these keywords.

    JEL classification:

    • M39 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Other

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