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Business and Economic Horizons
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License: CC BY
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Article . 2017
License: CC BY
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Business and Economic Horizons
Article . 2017 . Peer-reviewed
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Predicting intention to share news through social media: An empirical analysis in Indonesian youth context

Authors: Sihombing, Sabrina Oktaria;

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

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.

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Keywords

Information sharing, entertainment, socialization, attitude, intention

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
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