Online media coverage, consumer engagement and movie sales: A PVAR approach

作者:

Highlights:

• Examine the impacts of online media coverage and consumer engagement on movie box office.

• Apply the panel vector auto-regression (PVAR) method.

• Online media coverage played a dominant role in explaining the box office of originals, while consumer engagement was a major factor for sequels.

• Online news, social media, and information reading had significant positive predictive powers on movie box for both sequels and originals.

• Compared with sequels, originals were more influenced by media coverage in a stronger traction and a quicker speed.

摘要

The advent of new media, such as Google, Twitter, and Facebook, has offered the movie industry new opportunities to market movies and increase sales. In this study, we investigate the relationship between online media activities and movie sales. In particular, this paper examines how media coverage (online news and social media posts) and consumer engagement (information search and reading) affect the sales of original movies and sequels in the opening week. By applying the panel vector auto-regression (PVAR) method, we found that online news, social media posts, and information reading were positively related to future sales of originals and sequels, while information search was not a significant predictor of movie sales for originals. Media coverage had a stronger and more durable marketing effect on the sales of originals, and consumer engagement had a stronger effect on the sales of sequels. Compared with social media posts, online news had a higher promoting effect on consumer engagement for sequels. Further, online media coverage and consumer engagement also had mutual effects on each other. This study suggests that managers of movie studios and theaters should apply different channel strategies and allocate different resources for originals and sequels.

论文关键词:Media coverage,Consumer engagement,Movie sales,Panel vector auto-regression

论文评审过程:Received 10 June 2019, Revised 10 February 2020, Accepted 11 February 2020, Available online 13 February 2020, Version of Record 28 February 2020.

论文官网地址:https://doi.org/10.1016/j.dss.2020.113267