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The impact of online video highlights on TV audience ratings

Author

Listed:
  • Giwoong Bae

    (Samsung SDS)

  • Hye-jin Kim

    (Korea Advanced Institute of Science and Technology)

Abstract

Short video excerpts from TV shows are a tool that producers/broadcasters use to promote their programs. This study examines how video highlights that are presented online for free viewing, which can be analogous to product samples for entertainment goods, affect TV audience ratings. We investigate whether a displacement effect exists, i.e., the substitution of goods due to the availability of other similar goods. We find that positive viewer response, measured by the number of likes and views generated for the highlights, positively affects ratings, and the square of the number of likes negatively affects ratings. Our findings suggest that if viewers are overly satisfied with the highlights, some may be satisfied with merely viewing them and refrain from watching the actual show; such a response may potentially decrease TV viewership. This is the first study to examine the role of online video highlights as a promotional tool for TV shows.

Suggested Citation

  • 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.
    • Handle: RePEc:spr:elcore:v:22:y:2022:i:2:d:10.1007_s10660-020-09421-4
    DOI: 10.1007/s10660-020-09421-4
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    1. Kapil Bawa & Robert Shoemaker, 2004. "The Effects of Free Sample Promotions on Incremental Brand Sales," Marketing Science, INFORMS, vol. 23(3), pages 345-363, November.
    2. Peitz, Martin & Waelbroeck, Patrick, 2006. "Why the music industry may gain from free downloading -- The role of sampling," International Journal of Industrial Organization, Elsevier, vol. 24(5), pages 907-913, September.
    3. Cribari-Neto, Francisco, 2004. "Asymptotic inference under heteroskedasticity of unknown form," Computational Statistics & Data Analysis, Elsevier, vol. 45(2), pages 215-233, March.
    4. David Forrest & Robert Simmons & Babatunde Buraimo, 2005. "Outcome Uncertainty And The Couch Potato Audience," Scottish Journal of Political Economy, Scottish Economic Society, vol. 52(4), pages 641-661, September.
    5. Davidson, Russell & MacKinnon, James G., 1993. "Estimation and Inference in Econometrics," OUP Catalogue, Oxford University Press, number 9780195060119.
    6. Van Reeth, Daam, 2019. "Forecasting Tour de France TV audiences: A multi-country analysis," International Journal of Forecasting, Elsevier, vol. 35(2), pages 810-821.
    7. Amit M. Joshi & Dominique M. Hanssens, 2009. "Movie Advertising and the Stock Market Valuation of Studios: A Case of “Great Expectations?”," Marketing Science, INFORMS, vol. 28(2), pages 239-250, 03-04.
    8. Arne Feddersen & Armin Rott, 2011. "Determinants of Demand for Televised Live Football: Features of the German National Football Team," Journal of Sports Economics, , vol. 12(3), pages 352-369, June.
    9. David Godes & Dina Mayzlin, 2004. "Using Online Conversations to Study Word-of-Mouth Communication," Marketing Science, INFORMS, vol. 23(4), pages 545-560, June.
    10. Nikolopoulos, K. & Goodwin, P. & Patelis, A. & Assimakopoulos, V., 2007. "Forecasting with cue information: A comparison of multiple regression with alternative forecasting approaches," European Journal of Operational Research, Elsevier, vol. 180(1), pages 354-368, July.
    11. Nelson, Phillip, 1970. "Information and Consumer Behavior," Journal of Political Economy, University of Chicago Press, vol. 78(2), pages 311-329, March-Apr.
    12. Danaher, Peter J. & Dagger, Tracey S. & Smith, Michael S., 2011. "Forecasting television ratings," International Journal of Forecasting, Elsevier, vol. 27(4), pages 1215-1240, October.
    13. Romain Cadario, 2015. "The impact of online word-of-mouth on television show viewership: An inverted U-shaped temporal dynamic," Marketing Letters, Springer, vol. 26(4), pages 411-422, December.
    14. Gazley, Aaron & Clark, Gemma & Sinha, Ashish, 2011. "Understanding preferences for motion pictures," Journal of Business Research, Elsevier, vol. 64(8), pages 854-861, August.
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