IDEAS home Printed from https://ideas.repec.org/p/clg/wpaper/2014-57.html
   My bibliography  Save this paper

Big budgets, big openings, and legs: Analysis of the blockbuster strategy

Author

Listed:
  • W. D. Walls

    (University of Calgary)

  • A. DeVany

Abstract

The blockbuster strategy---using big budgets, stars, and advertising to create high opening week box office grosses---is based on the theory that motion picture audiences follow an information cascade by choosing movies according to how heavily they are advertised, what stars are in them, and their revenue ranking in the box-office tournament. Opposed to this theory of choice based on herd-type behavior is the view that quality matters and that through the communication of personal quality information the audience will turn a non-informative cascade of the opening into an informed cascade in which quality signals dominate quantity signals. In this paper, we examine the blockbuster strategy using a sample of more than 2000 motion pictures exhibited in the US between 1985--96. Contrary to the blockbuster strategy, we find that the opening is less critical for successful than for unsuccessful films. The movie-going audience cannot be manipulated and a movie will be a hit only if it engages a positive word-of-mouth information cascade.

Suggested Citation

  • W. D. Walls & A. DeVany, "undated". "Big budgets, big openings, and legs: Analysis of the blockbuster strategy," Working Papers 2014-57, Department of Economics, University of Calgary, revised 23 Sep 2014.
  • Handle: RePEc:clg:wpaper:2014-57
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Antipov, Evgeny & Pokryshevskaya, Elena, 2010. "Accounting for latent classes in movie box office modeling," MPRA Paper 27644, University Library of Munich, Germany.
    2. Krishnan Jeesha & Sumod S D & Prashant Premkumar & Shovan Chowdhury, 2018. "Does Story Really Matter In The Movie Industry? : PreProduction Stage Predictive Models," Working papers 284, Indian Institute of Management Kozhikode.
    3. Thorsten Hennig-Thurau & André Marchand & Barbara Hiller, 2012. "The relationship between reviewer judgments and motion picture success: re-analysis and extension," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 36(3), pages 249-283, August.
    4. Yubin Yang & Seungyoup Choo & Seong-Joon Limb, 2023. "Vertical Integration Strategies and Environmental Uncertainty: China’s Film Industry," SAGE Open, , vol. 13(1), pages 21582440231, February.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:clg:wpaper:2014-57. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Department of Economics (email available below). General contact details of provider: https://edirc.repec.org/data/declgca.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.