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The long-term box office performance of sequel movies

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  • Tirtha Dhar
  • Guanghui Sun
  • Charles Weinberg

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  • 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
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    References listed on IDEAS

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    1. 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.
    2. 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.
    3. 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.
    4. 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.
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    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. Andrew Ainslie & Xavier Drèze & Fred Zufryden, 2005. "Modeling Movie Life Cycles and Market Share," Marketing Science, INFORMS, vol. 24(3), pages 508-517, November.
    12. 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.
    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.
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    Cited by:

    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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).
    11. 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.
    12. 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.
    13. 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.
    14. 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.
    15. 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.
    16. 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.
    17. 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.

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