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Prevision model and empirical test of box office results for sequels

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  • Bertrand Belvaux

    (CREGO - Centre de Recherche en Gestion des Organisations - Université de Haute-Alsace (UHA) - Université de Haute-Alsace (UHA) Mulhouse - Colmar - UB - Université de Bourgogne - UBFC - Université Bourgogne Franche-Comté [COMUE] - UFC - Université de Franche-Comté - UBFC - Université Bourgogne Franche-Comté [COMUE])

  • Rémi Mencarelli

    (IREGE - Institut de Recherche en Gestion et en Economie - USMB [Université de Savoie] [Université de Chambéry] - Université Savoie Mont Blanc)

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.

Suggested Citation

  • Bertrand Belvaux & Rémi Mencarelli, 2021. "Prevision model and empirical test of box office results for sequels," Post-Print hal-03200091, HAL.
    • Handle: RePEc:hal:journl:hal-03200091
    DOI: 10.1016/j.jbusres.2021.03.008
    Note: View the original document on HAL open archive server: https://u-bourgogne.hal.science/hal-03200091
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    References listed on IDEAS

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    Keywords

    Movie industry; Review; Sequel; Box office; Accessibility-diagnosticity framework;
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