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Strategic management of over-the-top services: Focusing on Korean consumer adoption behavior

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  • Shin, Jungwoo
  • Park, Yuri
  • Lee, Daeho

Abstract

With the emergence of over-the-top (OTT) services, consumers can enjoy broadcasting contents using personal computers, smartphones, and tablets whenever and wherever they want. Not only are traditional broadcasting service providers entering the OTT service market, but Internet service providers are as well, and they are competing with each other to achieve market power. We estimated consumers' preference for OTT service based on conjoint survey data, and conducted a market simulation based on the estimation result in order to analyze the change of market penetration ratio in accordance to the change of market strategy of each broadcasting service provider. As a result, consumers have the highest priority for real-time broadcasting. When the terrestrial television broadcasting service provider does not provide its contents to other service providers, Internet service providers and pay TV service providers can increase their market power by decreasing the price and by increasing the number of VODs respectively.

Suggested Citation

  • Shin, Jungwoo & Park, Yuri & Lee, Daeho, 2016. "Strategic management of over-the-top services: Focusing on Korean consumer adoption behavior," Technological Forecasting and Social Change, Elsevier, vol. 112(C), pages 329-337.
    • Handle: RePEc:eee:tefoso:v:112:y:2016:i:c:p:329-337
    DOI: 10.1016/j.techfore.2016.08.004
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    1. Joel Huber and Kenneth Train., 2000. "On the Similarity of Classical and Bayesian Estimates of Individual Mean Partworths," Economics Working Papers E00-289, University of California at Berkeley.
    2. Bastiaan BACCARNE & Tom EVENS & Dimitri SCHUURMAN, 2013. "The Television Struggle: an Assessment of Over-the-Top Television Evolutions in a Cable Dominant Market," Communications & Strategies, IDATE, Com&Strat dept., vol. 1(92), pages 43-61, 4th quart.
    3. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555, January.
    4. Waterman, David & Sherman, Ryland & Wook Ji, Sung, 2013. "The economics of online television: Industry development, aggregation, and “TV Everywhere”," Telecommunications Policy, Elsevier, vol. 37(9), pages 725-736.
    5. Lee, Daeho & Shin, Jungwoo & Lee, Sangwon, 2015. "Network management in the era of convergence: Focusing on application-based quality assessment of Internet access service," Telecommunications Policy, Elsevier, vol. 39(8), pages 705-716.
    6. Gonçalves, Vânia & Evens, Tom & Alves, Artur Pimenta & Ballon, Pieter, 2014. "Power and control strategies in online video services," 25th European Regional ITS Conference, Brussels 2014 101438, International Telecommunications Society (ITS).
    7. Woo, JongRoul & Choi, Jae Young & Shin, Jungwoo & Lee, Jongsu, 2014. "The effect of new media on consumer media usage: An empirical study in South Korea," Technological Forecasting and Social Change, Elsevier, vol. 89(C), pages 3-11.
    8. Puneet Manchanda & Asim Ansari & Sunil Gupta, 1999. "The “Shopping Basket”: A Model for Multicategory Purchase Incidence Decisions," Marketing Science, INFORMS, vol. 18(2), pages 95-114.
    9. Green, Paul E & Srinivasan, V, 1978. "Conjoint Analysis in Consumer Research: Issues and Outlook," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 5(2), pages 103-123, Se.
    10. Limbach, Felix, 2014. "Cooperative service provisioning with OTT players: An explorative analysis of telecommunication business models," 25th European Regional ITS Conference, Brussels 2014 101388, International Telecommunications Society (ITS).
    11. See-To, Eric W.K. & Papagiannidis, Savvas & Cho, Vincent, 2012. "User experience on mobile video appreciation: How to engross users and to enhance their enjoyment in watching mobile video clips," Technological Forecasting and Social Change, Elsevier, vol. 79(8), pages 1484-1494.
    12. Allenby, Greg M. & Rossi, Peter E., 1998. "Marketing models of consumer heterogeneity," Journal of Econometrics, Elsevier, vol. 89(1-2), pages 57-78, November.
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    Cited by:

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    6. Kim, Kyungah & Kim, Junghun, 2024. "The study of brand loyalty and switching cost on OTT bundled service choice: Focusing on reference-dependent preferences in the saturated market," Journal of Retailing and Consumer Services, Elsevier, vol. 77(C).
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    8. Agarwal, Reeti & Mehrotra, Ankit & Sharma, Veenu & Papa, Armando & Malibari, Areej, 2023. "Over-the-top (OTT) retailing in the post pandemic world. Unveiling consumer drivers and barriers using a qualitative study," Journal of Retailing and Consumer Services, Elsevier, vol. 75(C).
    9. Kim, Doha & Song, Yeosol & Kim, Songyie & Lee, Sewang & Wu, Yanqin & Shin, Jungwoo & Lee, Daeho, 2023. "How should the results of artificial intelligence be explained to users? - Research on consumer preferences in user-centered explainable artificial intelligence," Technological Forecasting and Social Change, Elsevier, vol. 188(C).

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