IDEAS home Printed from https://ideas.repec.org/p/hal/journl/hal-02549568.html
   My bibliography  Save this paper

Buzz on line : what is the impact on movies box office?
[Buzz on line : quel impact sur les entrées des films de cinéma ?]

Author

Listed:
  • Christine Balagué

    (LEM - Lille économie management - UMR 9221 - UA - Université d'Artois - UCL - Université catholique de Lille - Université de Lille - CNRS - Centre National de la Recherche Scientifique)

  • Laurent Florès

    (CEROG - Centre d'Etudes et de Recherche sur les Organisations et la Gestion - Université Paul Cézanne - Aix-Marseille 3, CRM Metrix (CRM Metrix))

Abstract

In this article authors model movies sales at the box office using different variables including online buzz and media expenditures. They show on 235 movies that online buzz impact appears to be significant, particularly on the first week of the film release. However, online buzz impact remains less important than for other variables such as number of copies and film critics volume.

Suggested Citation

  • Christine Balagué & Laurent Florès, 2007. "Buzz on line : what is the impact on movies box office? [Buzz on line : quel impact sur les entrées des films de cinéma ?]," Post-Print hal-02549568, HAL.
    • Handle: RePEc:hal:journl:hal-02549568
    Note: View the original document on HAL open archive server: https://hal.science/hal-02549568
    as

    Download full text from publisher

    File URL: https://hal.science/hal-02549568/document
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Newman, Bruce I & Sheth, Jagdish N, 1985. "A Model of Primary Voter Behavior," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 12(2), pages 178-187, September.
    2. Phelps, Joseph E. & Lewis, Regina & Mobilio, Lynne & Perry, David & Raman, Niranjan, 2004. "Viral Marketing or Electronic Word-of-Mouth Advertising: Examining Consumer Responses and Motivations to Pass Along Email," Journal of Advertising Research, Cambridge University Press, vol. 44(4), pages 333-348, December.
    3. Morwitz, Vicki G & Pluzinski, Carol, 1996. "Do Polls Reflect Opinions or Do Opinions Reflect Polls? The Impact of Political Polling on Voters' Expectations, Preferences, and Behavior," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 23(1), pages 53-67, June.
    4. Mohanbir S. Sawhney & Jehoshua Eliashberg, 1996. "A Parsimonious Model for Forecasting Gross Box-Office Revenues of Motion Pictures," Marketing Science, INFORMS, vol. 15(2), pages 113-131.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ronald McDonald & Xuxin Mao, 2015. "Forecasting the 2015 General Election with Internet Big Data: An Application of the TRUST Framework," Working Papers 2016_03, Business School - Economics, University of Glasgow.
    2. Jong Yoon Lee & Jae Hee Park & Jong Woo Jun, 2019. "Brand Webtoon as Sustainable Advertising in Korean Consumers: A Focus on Hierarchical Relationships," Sustainability, MDPI, vol. 11(5), pages 1-10, March.
    3. A. Yeşim Orhun & Sriram Venkataraman & Pradeep K. Chintagunta, 2016. "Impact of Competition on Product Decisions: Movie Choices of Exhibitors," Marketing Science, INFORMS, vol. 35(1), pages 73-92, January.
    4. C F Elliott & R Simmons, 2007. "Determinants of UK box office success: the impact of quality signals," Working Papers 584026, Lancaster University Management School, Economics Department.
    5. Gaenssle Sophia & Budzinski Oliver & Astakhova Daria, 2018. "Conquering the Box Office: Factors Influencing Success of International Movies in Russia," Review of Network Economics, De Gruyter, vol. 17(4), pages 245-266, December.
    6. Jie Zhang & Yongjun Sung & Wei‐Na Lee, 2010. "To Play or Not to Play: An Exploratory Content Analysis of Branded Entertainment in Facebook," American Journal of Business, Emerald Group Publishing Limited, vol. 25(1), pages 53-64, April.
    7. Ramezani, Mohsen & Moradi, Parham & Akhlaghian, Fardin, 2014. "A pattern mining approach to enhance the accuracy of collaborative filtering in sparse data domains," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 408(C), pages 72-84.
    8. repec:lan:wpaper:1090 is not listed on IDEAS
    9. Rodriguez, Virginie & Sangle-Ferriere, Marion, 2023. "Do supermarkets’ emails have any value for their customers? The effect of emails’ content and interestingness on customers’ attitude and engagement," Journal of Retailing and Consumer Services, Elsevier, vol. 75(C).
    10. Nguyen-Phuoc, Duy Quy & Vo, Nguyen S. & Su, Diep Ngoc & Nguyen, Vinh Hoang & Oviedo-Trespalacios, Oscar, 2021. "What makes passengers continue using and talking positively about ride-hailing services? The role of the booking app and post-booking service quality," Transportation Research Part A: Policy and Practice, Elsevier, vol. 150(C), pages 367-384.
    11. Elberse, Anita & Anand, Bharat, 2007. "The effectiveness of pre-release advertising for motion pictures: An empirical investigation using a simulated market," Information Economics and Policy, Elsevier, vol. 19(3-4), pages 319-343, October.
    12. Sanjeev Swami & Jehoshua Eliashberg & Charles B. Weinberg, 1999. "SilverScreener: A Modeling Approach to Movie Screens Management," Marketing Science, INFORMS, vol. 18(3), pages 352-372.
    13. Victor Tiberius & Christoph Rasche, 2011. "Prognosemärkte," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 21(4), pages 467-472, April.
    14. Li, Feng & Du, Timon C. & Wei, Ying, 2020. "Enhancing supply chain decisions with consumers’ behavioral factors: An illustration of decoy effect," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 144(C).
    15. Xiang Zhong & Juan Zhao & Lu-Xing Yang & Xiaofan Yang & Yingbo Wu & Yuan Yan Tang, 2018. "A dynamic discount pricing strategy for viral marketing," PLOS ONE, Public Library of Science, vol. 13(12), pages 1-19, December.
    16. Jonathan Lee & Peter Boatwright & Wagner A. Kamakura, 2003. "A Bayesian Model for Prelaunch Sales Forecasting of Recorded Music," Management Science, INFORMS, vol. 49(2), pages 179-196, February.
    17. Bosio, Birgit & Haselwanter, Stefanie & Ceipek, Michael, 2018. "The Utilization of Social Media Marketing in Destination Management Organizations," 6th International OFEL Conference on Governance, Management and Entrepreneurship. New Business Models and Institutional Entrepreneurs: Leading Disruptive Change (Dubrovnik, 2018), in: 6th International OFEL Conference on Governance, Management and Entrepreneurship. New Business Models and Institutional Entrepreneurs: Leading Disrupt, pages 249-268, Governance Research and Development Centre (CIRU), Zagreb.
    18. S Raut & S Swami & M P Moholkar, 2009. "Heuristic and meta-heuristic approaches for multi-period shelf-space optimization: the case of motion picture retailing," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(10), pages 1335-1348, October.
    19. Gilles Séré de Lanauze & Béatrice Siadou-Martin, 2015. "La marque 2.0: l'humilité comme condition nécessaire de la relation marque consommateur?," Post-Print hal-01697924, HAL.
    20. Marshall, Pablo & Dockendorff, Monika & Ibáñez, Soledad, 2013. "A forecasting system for movie attendance," Journal of Business Research, Elsevier, vol. 66(10), pages 1800-1806.
    21. Bischoff, Ivo & Egbert, Henrik, 2013. "Social information and bandwagon behavior in voting: An economic experiment," Journal of Economic Psychology, Elsevier, vol. 34(C), pages 270-284.

    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:hal:journl:hal-02549568. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    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.