IDEAS home Printed from https://ideas.repec.org/a/kap/mktlet/v23y2012i1p13-29.html
   My bibliography  Save this article

The long-term box office performance of sequel movies

Author

Listed:
  • Tirtha Dhar
  • Guanghui Sun
  • Charles Weinberg

Abstract

No abstract is available for this item.

Suggested Citation

  • Tirtha Dhar & Guanghui Sun & Charles Weinberg, 2012. "The long-term box office performance of sequel movies," Marketing Letters, Springer, vol. 23(1), pages 13-29, March.
    • Handle: RePEc:kap:mktlet:v:23:y:2012:i:1:p:13-29
    DOI: 10.1007/s11002-011-9146-1
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s11002-011-9146-1
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s11002-011-9146-1?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Anita Elberse & Jehoshua Eliashberg, 2003. "Demand and Supply Dynamics for Sequentially Released Products in International Markets: The Case of Motion Pictures," Marketing Science, INFORMS, vol. 22(3), pages 329-354.
    2. Ravid, S Abraham, 1999. "Information, Blockbusters, and Stars: A Study of the Film Industry," The Journal of Business, University of Chicago Press, vol. 72(4), pages 463-492, October.
    3. Jehoshua Eliashberg & Anita Elberse & Mark A.A.M. Leenders, 2006. "The Motion Picture Industry: Critical Issues in Practice, Current Research, and New Research Directions," Marketing Science, INFORMS, vol. 25(6), pages 638-661, 11-12.
    4. Ho, Jason Y.C. & Dhar, Tirtha & Weinberg, Charles B., 2009. "Playoff payoff: Super Bowl advertising for movies," International Journal of Research in Marketing, Elsevier, vol. 26(3), pages 168-179.
    5. Robert E. Krider & Tieshan Li & Yong Liu & Charles B. Weinberg, 2005. "The Lead-Lag Puzzle of Demand and Distribution: A Graphical Method Applied to Movies," Marketing Science, INFORMS, vol. 24(4), pages 635-645, April.
    6. Darius Palia & S. Abraham Ravid & Natalia Reisel, 2008. "Choosing to Cofinance: Analysis of Project-Specific Alliances in the Movie Industry," The Review of Financial Studies, Society for Financial Studies, vol. 21(2), pages 483-511, April.
    7. Basuroy, Suman & Chatterjee, Subimal, 2008. "Fast and frequent: Investigating box office revenues of motion picture sequels," Journal of Business Research, Elsevier, vol. 61(7), pages 798-803, July.
    8. Edward P. Lazear, 2004. "The Peter Principle: A Theory of Decline," Journal of Political Economy, University of Chicago Press, vol. 112(S1), pages 141-163, February.
    9. Marnik G. Dekimpe & Dominique M. Hanssens, 1995. "The Persistence of Marketing Effects on Sales," Marketing Science, INFORMS, vol. 14(1), pages 1-21.
    10. Andrew Ainslie & Xavier Drèze & Fred Zufryden, 2005. "Modeling Movie Life Cycles and Market Share," Marketing Science, INFORMS, vol. 24(3), pages 508-517, November.
    11. Morris B. Holbrook & Michela Addis, 2007. "Taste versus the Market: An Extension of Research on the Consumption of Popular Culture," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 34(3), pages 415-424, May.
    12. Sumit Raut & Sanjeev Swami & Eunkyu Lee & Charles B. Weinberg, 2008. "How Complex Do Movie Channel Contracts Need to Be?," Marketing Science, INFORMS, vol. 27(4), pages 627-641, 07-08.
    13. 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)

    Citations

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


    Cited by:

    1. Kyuhan Lee & Jinsoo Park & Iljoo Kim & Youngseok Choi, 2018. "Predicting movie success with machine learning techniques: ways to improve accuracy," Information Systems Frontiers, Springer, vol. 20(3), pages 577-588, June.
    2. Marchand, André, 2016. "The power of an installed base to combat lifecycle decline: The case of video games," International Journal of Research in Marketing, Elsevier, vol. 33(1), pages 140-154.
    3. Amy Wenxuan Ding & Shibo Li, 2019. "Herding in the consumption and purchase of digital goods and moderators of the herding bias," Journal of the Academy of Marketing Science, Springer, vol. 47(3), pages 460-478, May.
    4. Verdiana Giannetti & Jieke Chen, 2023. "An investigation of the impact of Black male and female actors on US movies’ box-office across countries," Marketing Letters, Springer, vol. 34(2), pages 269-291, June.
    5. Yi Liao & Yuxuan Peng & Songlin Shi & Victor Shi & Xiaohong Yu, 2022. "Early box office prediction in China’s film market based on a stacking fusion model," Annals of Operations Research, Springer, vol. 308(1), pages 321-338, January.
    6. Fan, Liu & Zhang, Xiaoping & Rai, Laxmisha, 2021. "When should star power and eWOM be responsible for the box office performance? - An empirical study based on signaling theory," Journal of Retailing and Consumer Services, Elsevier, vol. 62(C).
    7. Situmeang, Frederik B.I. & Leenders, Mark A.A.M. & Wijnberg, Nachoem M., 2014. "History matters: The impact of reviews and sales of earlier versions of a product on consumer and expert reviews of new editions," European Management Journal, Elsevier, vol. 32(1), pages 73-83.
    8. Jason Yiu-chung Ho & Jehoshua Eliashberg & Charles B. Weinberg & Berend Wierenga, 2024. "On enjoying watching movies in a theatre versus at home: a comparative analysis," Marketing Letters, Springer, vol. 35(1), pages 29-44, March.
    9. Gerda Gemser & Mark Leenders & Charles Weinberg, 2012. "More effective assessment of market performance in later stages of the product development process: The case of the motion picture industry," Marketing Letters, Springer, vol. 23(4), pages 1019-1031, December.
    10. Marchand, André & Hennig-Thurau, Thorsten, 2013. "Value Creation in the Video Game Industry: Industry Economics, Consumer Benefits, and Research Opportunities," Journal of Interactive Marketing, Elsevier, vol. 27(3), pages 141-157.
    11. Situmeang, Frederik B.I. & Gemser, Gerda & Wijnberg, Nachoem M. & Leenders, Mark A.A.M, 2016. "Risk-taking behavior of technology firms: The role of performance feedback in the video game industry," Technovation, Elsevier, vol. 54(C), pages 22-34.
    12. Belvaux, Bertrand & Mencarelli, Rémi, 2021. "Prevision model and empirical test of box office results for sequels," Journal of Business Research, Elsevier, vol. 130(C), pages 38-48.
    13. Björn Bohnenkamp & Ann-Kristin Knapp & Thorsten Hennig-Thurau & Ricarda Schauerte, 2015. "When does it make sense to do it again? An empirical investigation of contingency factors of movie remakes," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 39(1), pages 15-41, February.
    14. Natalia Gmerek, 2015. "The determinants of Polish movies’ box office performance in Poland," Journal of Marketing and Consumer Behaviour in Emerging Markets, University of Warsaw, Faculty of Management, vol. 1(1), pages 15-35.
    15. Kim, Ho & Bruce, Norris I., 2018. "Should sequels differ from original movies in pre-launch advertising schedule? Lessons from consumers' online search activity," International Journal of Research in Marketing, Elsevier, vol. 35(1), pages 116-143.
    16. Kyuhan Lee & Jinsoo Park & Iljoo Kim & Youngseok Choi, 0. "Predicting movie success with machine learning techniques: ways to improve accuracy," Information Systems Frontiers, Springer, vol. 0, pages 1-12.
    17. Darren Filson & James H. Havlicek, 2018. "The performance of global film franchises: installment effects and extension decisions," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 42(3), pages 447-467, August.

    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. 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.
    2. Hofmann, Julian & Clement, Michel & Völckner, Franziska & Hennig-Thurau, Thorsten, 2017. "Empirical generalizations on the impact of stars on the economic success of movies," International Journal of Research in Marketing, Elsevier, vol. 34(2), pages 442-461.
    3. Fei Peng & Lili Kang & Sajid Anwar & Xue Li, 2019. "Star power and box office revenues: evidence from China," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 43(2), pages 247-278, June.
    4. Clement, Michel & Wu, Steven & Fischer, Marc, 2014. "Empirical generalizations of demand and supply dynamics for movies," International Journal of Research in Marketing, Elsevier, vol. 31(2), pages 207-223.
    5. Darren Filson & James H. Havlicek, 2018. "The performance of global film franchises: installment effects and extension decisions," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 42(3), pages 447-467, August.
    6. Judy Ma & Dongling Huang & M. Kumar & Andrei Strijnev, 2015. "The impact of supplier bargaining power on the advertising costs of movie sequels," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 39(1), pages 43-64, February.
    7. Moez Hababou & Nawel Amrouche & Kamel Jedidi, 2016. "Measuring Economic Efficiency in the Motion Picture Industry: a Data Envelopment Analysis Approach," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 3(3), pages 144-158, December.
    8. 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.
    9. Marchand, André, 2016. "The power of an installed base to combat lifecycle decline: The case of video games," International Journal of Research in Marketing, Elsevier, vol. 33(1), pages 140-154.
    10. Belvaux, Bertrand & Mencarelli, Rémi, 2021. "Prevision model and empirical test of box office results for sequels," Journal of Business Research, Elsevier, vol. 130(C), pages 38-48.
    11. 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.
    12. Katherine Goff Inglis & Saeed Zolfaghari, 2017. "A Review of Scheduling Problems and Research Opportunities in Motion Picture Exhibition," Interfaces, INFORMS, vol. 47(2), pages 175-187, April.
    13. Bae, Giwoong & Kim, Hye-jin, 2019. "The impact of movie titles on box office success," Journal of Business Research, Elsevier, vol. 103(C), pages 100-109.
    14. 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.
    15. Fernanda Gutierrez-Navratil & Victor Fernandez-Blanco & Luis Orea & Juan Prieto-Rodriguez, 2014. "How do your rivals’ releasing dates affect your box office?," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 38(1), pages 71-84, February.
    16. Kang, Lili & Peng, Fei & Anwar, Sajid, 2022. "All that glitters is not gold: Do movie quality and contents influence box-office revenues in China?," Journal of Policy Modeling, Elsevier, vol. 44(2), pages 492-510.
    17. Kim, Taegu & Hong, Jungsik & Kang, Pilsung, 2015. "Box office forecasting using machine learning algorithms based on SNS data," International Journal of Forecasting, Elsevier, vol. 31(2), pages 364-390.
    18. Lee, Youseok & Kim, Sang-Hoon & Cha, Kyoung Cheon, 2021. "Impact of online information on the diffusion of movies: Focusing on cultural differences," Journal of Business Research, Elsevier, vol. 130(C), pages 603-609.
    19. Michel Clement & Anke Hille & Bernd Lucke & Christina Schmidt-Stölting & Frank Sambeth, 2008. "Der Einfluss von Rankings auf den Absatz — Eine empirische Analyse der Wirkung von Bestsellerlisten und Rangpositionen auf den Erfolg von Büchern," Schmalenbach Journal of Business Research, Springer, vol. 60(8), pages 746-777, December.
    20. Jason M. T. Roos & Ron Shachar, 2014. "When Kerry Met Sally: Politics and Perceptions in the Demand for Movies," Management Science, INFORMS, vol. 60(7), pages 1617-1631, July.

    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:kap:mktlet:v:23:y:2012:i:1:p:13-29. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.