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Article dans une revue

Prevision model and empirical test of box office results for sequels

Abstract : As studios release an increasing number of movie sequels, scholars have begun to examine this strategic choice. Prior studies use standard models of box office performance to evaluate sequels’ performance and have mainly compared the box office results of the original movie with those of its sequel. However, sequels hold a unique position in the motion picture market since they are strongly associated with the original movie. Using the accessibility-diagnosticity framework, this research investigates the drivers behind the success of sequels and examines specifically the original movie’s impact through the role of reviews. The results – from 232 movies (116 original movies and 116 first sequels) – demonstrate the direct impact of the original movie’s reviews on the sequel’s performance.
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https://hal-univ-bourgogne.archives-ouvertes.fr/hal-03200091
Contributeur : Crego - Université de Bourgogne <>
Soumis le : vendredi 16 avril 2021 - 11:07:39
Dernière modification le : samedi 17 avril 2021 - 03:29:40

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Bertrand Belvaux, Rémi Mencarelli. Prevision model and empirical test of box office results for sequels. Journal of Business Research, Elsevier, 2021, 130, pp.38-48. ⟨10.1016/j.jbusres.2021.03.008⟩. ⟨hal-03200091⟩

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