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The impact of online word-of-mouth on television show viewership: An inverted U-shaped temporal dynamic

Author

Listed:
  • Romain Cadario

    (DRM - Dauphine Recherches en Management - Université Paris Dauphine-PSL - PSL - Université Paris Sciences et Lettres - CNRS - Centre National de la Recherche Scientifique, LEM - Lille économie management - UMR 9221 - UA - Université d'Artois - UCL - Université catholique de Lille - ULCO - Université du Littoral Côte d'Opale - Université de Lille - CNRS - Centre National de la Recherche Scientifique)

Abstract

This article examines the dynamic impact of online word-of-mouth (WOM) on US television show viewership. With WOM data collected from the Internet Movie Database website, we find that the cumulative volume of online WOM has significant explanatory power for viewership over time. Consistent with the mere exposure effect theory, the dynamic impact of the volume of online WOM over time varies according to a curvilinear, inverted U-shaped curve. Due to an initial floor effect, the volume of WOM is not significant in the early episodes. The impact of volume increases over time, before peaking and starting to decrease in the latter part of a show's life. This article demonstrates the differential effects of online WOM over time and thereby suggests that firms' online marketing strategies, such as media planning, must adjust with the product life cycle.

Suggested Citation

  • Romain Cadario, 2015. "The impact of online word-of-mouth on television show viewership: An inverted U-shaped temporal dynamic," Post-Print hal-01278581, HAL.
    • Handle: RePEc:hal:journl:hal-01278581
    DOI: 10.1007/s11002-013-9278-6
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    Cited by:

    1. Beth L. Fossen & Alexander Bleier, 2021. "Online program engagement and audience size during television ads," Journal of the Academy of Marketing Science, Springer, vol. 49(4), pages 743-761, July.
    2. Sun Yu, 2024. "Environmental Nonprofit Organizations and Public Opinion on Global Warming," Nonprofit Policy Forum, De Gruyter, vol. 15(4), pages 349-370.
    3. Wojciech Hardy, 2018. "Pre-release leaks as one-time incentives for switching to unauthorised sources of cultural content," IBS Working Papers 03/2018, Instytut Badan Strukturalnych.
    4. Giwoong Bae & Hye-jin Kim, 2022. "The impact of online video highlights on TV audience ratings," Electronic Commerce Research, Springer, vol. 22(2), pages 405-425, June.
    5. Ana Babić Rosario & Kristine Valck & Francesca Sotgiu, 2020. "Conceptualizing the electronic word-of-mouth process: What we know and need to know about eWOM creation, exposure, and evaluation," Journal of the Academy of Marketing Science, Springer, vol. 48(3), pages 422-448, May.
    6. 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.
    7. Wojciech Hardy, 2022. "Brace yourselves, pirates are coming! the effects of Game of Thrones leak on TV viewership," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 46(1), pages 27-55, March.

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