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Predictive value of video-sharing behavior: sharing of movie trailers and box-office revenue

Sehwan Oh (School of Business Administration, Kyungpook National University, Daegu, The Republic of Korea)
Hyunmi Baek (Department of Information Sociology, Hanyang University, Ansan, The Republic of Korea)
JoongHo Ahn (Graduate School of Business, Seoul National University, Seoul, The Republic of Korea)

Internet Research

ISSN: 1066-2243

Article publication date: 5 June 2017




The purpose of this paper is to examine whether the sharing of movie trailers on video-sharing social media has an impact on box-office revenue.


From December 2013 to November 2014, view statistics were collected for movie trailers from YouTube and matched with the box-office revenue of the relevant movies from Box Office Mojo. Based on the 72 sample movies, a panel simultaneous equation model was applied.


The results show that sharing of a movie trailer has a positive impact on the box-office revenue of the movie, and this effect is greater in the early stage of a movie release than in the later stage.

Research limitations/implications

This study analyzes, from electronic word-of-mouth (eWOM) and social influence perspectives, the effects of video-sharing activities on social media and their impact on sales with an example that is representative of entertainment goods or movie trailers.

Practical implications

This study reveals that promotion through video-sharing social media websites can serve as an essential marketing tool for entertainment goods such as movies, while the sharing of a movie trailer has a positive influence on the box-office revenue of the movie.


Focusing on the sharing features of video-sharing social media websites, this study contributes to enhancing our understanding of the predictive power of consumers’ video-sharing and expanding current research on eWOM and social influence.



Oh, S., Baek, H. and Ahn, J. (2017), "Predictive value of video-sharing behavior: sharing of movie trailers and box-office revenue", Internet Research, Vol. 27 No. 3, pp. 691-708.



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