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Impact of star and movie buzz on motion picture distribution and box office revenue

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  • Karniouchina, Ekaterina V.

Abstract

This study contributes to research on the impact that consumer buzz has on movie distribution and box office success by examining the impact of buzz generated about the individual stars and about the movie itself. The results indicate that movie buzz is instrumental in boosting box office revenue throughout the theatrical release, not just in the later run, as has been suggested in previous studies. Star buzz can enhance box office receipts during the opening week and can contribute to the public's anticipation of the movie pre-release. However, early buzz can have a negative impact on revenue during subsequent weeks if the movie fails to resonate with the audiences. Model simulations reveal that, even for poorly received films, the overall impact of star buzz is positive because the initial revenue boost normally outweighs the later decline. Thus, this study empirically demonstrates the positive impact of star buzz on revenue, which helps shed light on the long-standing debate regarding the importance of star participation in the success of a movie.

Suggested Citation

  • Karniouchina, Ekaterina V., 2011. "Impact of star and movie buzz on motion picture distribution and box office revenue," International Journal of Research in Marketing, Elsevier, vol. 28(1), pages 62-74.
    • Handle: RePEc:eee:ijrema:v:28:y:2011:i:1:p:62-74
    DOI: 10.1016/j.ijresmar.2010.10.001
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    1. Wu, De-Min, 1973. "Alternative Tests of Independence Between Stochastic Regressors and Disturbances," Econometrica, Econometric Society, vol. 41(4), pages 733-750, July.
    2. 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.
    3. 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.
    4. Thorsten Hennig-Thurau & Mark Houston & Shrihari Sridhar, 2006. "Can good marketing carry a bad product? Evidence from the motion picture industry," Marketing Letters, Springer, vol. 17(3), pages 205-219, July.
    5. Ramya Neelamegham & Pradeep Chintagunta, 1999. "A Bayesian Model to Forecast New Product Performance in Domestic and International Markets," Marketing Science, INFORMS, vol. 18(2), pages 115-136.
    6. Knox, George & Eliashberg, Jehoshua, 2009. "The consumer's rent vs. buy decision in the rentailer," International Journal of Research in Marketing, Elsevier, vol. 26(2), pages 125-135.
    7. Duan, Wenjing & Gu, Bin & Whinston, Andrew B., 2008. "The dynamics of online word-of-mouth and product sales—An empirical investigation of the movie industry," Journal of Retailing, Elsevier, vol. 84(2), pages 233-242.
    8. Liran Einav, 2007. "Seasonality in the U.S. motion picture industry," RAND Journal of Economics, RAND Corporation, vol. 38(1), pages 127-145, March.
    9. Andrew Ainslie & Xavier Drèze & Fred Zufryden, 2005. "Modeling Movie Life Cycles and Market Share," Marketing Science, INFORMS, vol. 24(3), pages 508-517, November.
    10. Eliashberg, Jehoshua & Hegie, Quintus & Ho, Jason & Huisman, Dennis & Miller, Steven J. & Swami, Sanjeev & Weinberg, Charles B. & Wierenga, Berend, 2009. "Demand-driven scheduling of movies in a multiplex," International Journal of Research in Marketing, Elsevier, vol. 26(2), pages 75-88.
    11. David Godes & Dina Mayzlin, 2004. "Using Online Conversations to Study Word-of-Mouth Communication," Marketing Science, INFORMS, vol. 23(4), pages 545-560, June.
    12. 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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