IDEAS home Printed from https://ideas.repec.org/a/kap/mktlet/v34y2023i2d10.1007_s11002-022-09647-2.html
   My bibliography  Save this article

An investigation of the impact of Black male and female actors on US movies’ box-office across countries

Author

Listed:
  • Verdiana Giannetti

    (University of Leeds)

  • Jieke Chen

    (University of Leeds)

Abstract

Globalization has resulted in an environment in which foreign markets constitute a large portion of new product sales. This is particularly the case in the movie industry. The movie industry is also pressured to increase the representation of ethnic minorities, especially in casting choices. We investigate how Black (1) male and (2) female actors affect the country-level international box-office of 788 US movies released in 2012–2019. The results show that Black male (female) actors increase (decrease) a movie’s box-office in a given country. Extending developments in the literature on intergroup contact, we examine how these effects are moderated by (a) actors’ star power, (b) the number of releases prior to release in the country, (c) the time-lag between worldwide release and release in the country, and (d) whether the country is emerging (vs. developed).

Suggested Citation

  • 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.
  • Handle: RePEc:kap:mktlet:v:34:y:2023:i:2:d:10.1007_s11002-022-09647-2
    DOI: 10.1007/s11002-022-09647-2
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11002-022-09647-2
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/s11002-022-09647-2?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. Tonya Williams Bradford & Vanessa Gail Perry, 2021. "Marketing while Black: commentary on the Galak and Kahn 2019 Academic Marketing Climate Survey," Marketing Letters, Springer, vol. 32(3), pages 299-306, September.
    3. Bruce Kogut & Harbir Singh, 1988. "The Effect of National Culture on the Choice of Entry Mode," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 19(3), pages 411-432, September.
    4. Jordi McKenzie, 2010. "Do 'African American' films perform better or worse at the box office? An empirical analysis of motion picture revenues and profits," Applied Economics Letters, Taylor & Francis Journals, vol. 17(16), pages 1559-1564.
    5. Venkat Kuppuswamy & Peter Younkin, 2020. "Testing the Theory of Consumer Discrimination as an Explanation for the Lack of Minority Hiring in Hollywood Films," Management Science, INFORMS, vol. 66(3), pages 1227-1247, March.
    6. 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.
    7. Miguel R. Ramos & Matthew R. Bennett & Douglas S. Massey & Miles Hewstone, 2019. "Humans adapt to social diversity over time," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 116(25), pages 12244-12249, June.
    8. 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.
    9. Manuel Hermosilla & Fernanda Gutiérrez-Navratil & Juan Prieto-Rodríguez, 2018. "Can Emerging Markets Tilt Global Product Design? Impacts of Chinese Colorism on Hollywood Castings," Marketing Science, INFORMS, vol. 37(3), pages 356-381, May.
    10. Angela Liu & Yong Liu & Tridib Mazumdar, 2014. "Star power in the eye of the beholder: A study of the influence of stars in the movie industry," Marketing Letters, Springer, vol. 25(4), pages 385-396, December.
    11. Wu, Chunhua & Weinberg, Charles B. & Wang, Qiyuan & Ho, Jason Y.C., 2022. "Administrative trade barrier: An empirical analysis of exporting Hollywood movies to China," International Journal of Research in Marketing, Elsevier, vol. 39(4), pages 1253-1274.
    12. Viswanathan, Madhu & Sridharan, Srinivas & Ritchie, Robin, 2010. "Understanding consumption and entrepreneurship in subsistence marketplaces," Journal of Business Research, Elsevier, vol. 63(6), pages 570-581, June.
    13. Moon, Sangkil & Song, Reo, 2015. "The Roles of Cultural Elements in International Retailing of Cultural Products: An Application to the Motion Picture Industry," Journal of Retailing, Elsevier, vol. 91(1), pages 154-170.
    14. 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.
    15. 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.
    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. Jordi McKenzie, 2023. "The economics of movies (revisited): A survey of recent literature," Journal of Economic Surveys, Wiley Blackwell, vol. 37(2), pages 480-525, April.
    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. 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.
    4. 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).
    5. 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.
    6. Delre, Sebastiano A. & Panico, Claudio & Wierenga, Berend, 2017. "Competitive strategies in the motion picture industry: An ABM to study investment decisions," International Journal of Research in Marketing, Elsevier, vol. 34(1), pages 69-99.
    7. Ronny Behrens & Natasha Zhang Foutz & Michael Franklin & Jannis Funk & Fernanda Gutierrez-Navratil & Julian Hofmann & Ulrike Leibfried, 2021. "Leveraging analytics to produce compelling and profitable film content," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 45(2), pages 171-211, June.
    8. 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.
    9. Angela (Xia) Liu & Tridib Mazumdar & Bo Li, 2015. "Counterfactual Decomposition of Movie Star Effects with Star Selection," Management Science, INFORMS, vol. 61(7), pages 1704-1721, July.
    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. 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.
    12. Yayla, Serdar & Kutlubay, Omer Cem & Cicek, Mesut & Yeniyurt, Sengun, 2023. "Once upon a time in a foreign market: The role of cultural distance in the economic performance of multilateral non-equity partnerships," International Business Review, Elsevier, vol. 32(4).
    13. 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.
    14. 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.
    15. Leenders, Mark A.A.M. & Eliashberg, Jehoshua, 2011. "The antecedents and consequences of restrictive age-based ratings in the global motion picture industry," International Journal of Research in Marketing, Elsevier, vol. 28(4), pages 367-377.
    16. Moon, Sangkil & Song, Reo, 2015. "The Roles of Cultural Elements in International Retailing of Cultural Products: An Application to the Motion Picture Industry," Journal of Retailing, Elsevier, vol. 91(1), pages 154-170.
    17. Michael Lewis & Yeujun Yoon, 2018. "An Empirical Examination of the Development and Impact of Star Power in Major League Baseball," Journal of Sports Economics, , vol. 19(2), pages 155-187, February.
    18. McKenzie, Jordi, 2013. "Predicting box office with and without markets: Do internet users know anything?," Information Economics and Policy, Elsevier, vol. 25(2), pages 70-80.
    19. Wijiharjono, Nuryadi, 2017. "Kajian perkembangan penelitian pemasaran film [Contemporary study of film marketing research]," MPRA Paper 83349, University Library of Munich, Germany, revised Aug 2017.
    20. 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.

    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:34:y:2023:i:2:d:10.1007_s11002-022-09647-2. 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.