Dynamic Effects among Movie Ratings, Movie Revenues, and Viewer Satisfaction

By Sangkil Moon, P. Bergey, Dawn Iacobucci. 2010

368 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/097d4ef52957c7260cf56bddd5dd0973fe6b109e

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics and Econometrics

1. Mirva Peltoniemi
2. M. Hiebl

In Sociology and Political Science

1. Mirva Peltoniemi

Citations in the corpus

• Cultural Industries: Product–Market Characteristics, Management Challenges and Industry Dynamics (2015, positive): “This is supported by the tendency of consumers to become more critical in their assessments over time and of consumers specializing in particular genres to rate such products higher (Moon et al. 2010).”
• Why Is the Crowd Divided? Attribution for Dispersion in Online Word of Mouth (2015, neutral): “An illustrative example is the movie category, for which Moon et al. (2010) found higher dispersion to be associated with lower satisfaction, Chintagunta et al. (2010) found no effects on revenue, and Martin , Barron, and Norton (2008) found positive effects on choice.”