IDEAS home Printed from https://ideas.repec.org/a/spr/elcore/v23y2023i1d10.1007_s10660-021-09504-w.html
   My bibliography  Save this article

Subscription strategy choices of network video platforms in the presence of social influence

Author

Listed:
  • Wenyi Wang

    (Xidian University)

  • Qiang Guo

    (Southwest Jiaotong University)

Abstract

In this paper, we investigate the optimal subscription strategy for network video platforms and show how it is affected by social influence. The strategy decision is made among paid strategies, free strategies, and trial strategies, and revenue models are presented in two cases: positive social influence and negative social influence. We show that regardless of which strategy a platform adopts, positive social influence always makes a platform better. Results run counter to the conventional wisdom that positive social influence has an adverse effect on subscription demand without a free trial, which is benefited under negative social influence. A platform can always benefit from offering trial clips in the presence of positive social influence. A paid strategy is optimal if a video generates less social influence and advertising becomes more of a nuisance for consumers. A free strategy, otherwise, is dominant. In the presence of negative social influence, however, a free strategy is always the worst choice for a platform. Moreover, we found that positive social influence expands a consumer’s tolerance of advertising when compared to a video with no social influence.

Suggested Citation

  • Wenyi Wang & Qiang Guo, 2023. "Subscription strategy choices of network video platforms in the presence of social influence," Electronic Commerce Research, Springer, vol. 23(1), pages 577-604, March.
  • Handle: RePEc:spr:elcore:v:23:y:2023:i:1:d:10.1007_s10660-021-09504-w
    DOI: 10.1007/s10660-021-09504-w
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10660-021-09504-w
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s10660-021-09504-w?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 Rao, 2015. "Online Content Pricing: Purchase and Rental Markets," Marketing Science, INFORMS, vol. 34(3), pages 430-451, May.
    2. Qiuzhen Wang & Liang Meng & Manlu Liu & Qi Wang & Qingguo Ma, 2016. "How do social-based cues influence consumers’ online purchase decisions? An event-related potential study," Electronic Commerce Research, Springer, vol. 16(1), pages 1-26, March.
    3. Hans Jarle Kind & Tore Nilssen & Lars Sørgard, 2009. "Business Models for Media Firms: Does Competition Matter for How They Raise Revenue?," Marketing Science, INFORMS, vol. 28(6), pages 1112-1128, 11-12.
    4. Shengli Li & Qiuyue Luo & Liangfei Qiu & Subhajyoti Bandyopadhyay, 2020. "Optimal Pricing Model of Digital Music: Subscription, Ownership or Mixed?," Production and Operations Management, Production and Operations Management Society, vol. 29(3), pages 688-704, March.
    5. Hsing Kenneth Cheng & Yipeng Liu, 2012. "Optimal Software Free Trial Strategy: The Impact of Network Externalities and Consumer Uncertainty," Information Systems Research, INFORMS, vol. 23(2), pages 488-504, June.
    6. Peitz, Martin & Valletti, Tommaso M., 2008. "Content and advertising in the media: Pay-tv versus free-to-air," International Journal of Industrial Organization, Elsevier, vol. 26(4), pages 949-965, July.
    7. Puneet Manchanda & Ying Xie & Nara Youn, 2008. "The Role of Targeted Communication and Contagion in Product Adoption," Marketing Science, INFORMS, vol. 27(6), pages 961-976, 11-12.
    8. Sun, Shuxiao & Zheng, Xiaona & Sun, Luping, 2020. "Multi-period pricing in the presence of competition and social influence," International Journal of Production Economics, Elsevier, vol. 227(C).
    9. Ramon Casadesus-Masanell & Feng Zhu, 2010. "Strategies to Fight Ad-Sponsored Rivals," Management Science, INFORMS, vol. 56(9), pages 1484-1499, September.
    10. Ravi Bapna & Akhmed Umyarov, 2015. "Do Your Online Friends Make You Pay? A Randomized Field Experiment on Peer Influence in Online Social Networks," Management Science, INFORMS, vol. 61(8), pages 1902-1920, August.
    11. Kumar, Subodha & Sethi, Suresh P., 2009. "Dynamic pricing and advertising for web content providers," European Journal of Operational Research, Elsevier, vol. 197(3), pages 924-944, September.
    12. Narisa Zhao & Hui Li, 2020. "How can social commerce be boosted? The impact of consumer behaviors on the information dissemination mechanism in a social commerce network," Electronic Commerce Research, Springer, vol. 20(4), pages 833-856, December.
    13. David Godes & Elie Ofek & Miklos Sarvary, 2009. "Content vs. Advertising: The Impact of Competition on Media Firm Strategy," Marketing Science, INFORMS, vol. 28(1), pages 20-35, 01-02.
    14. Sridhar Balasubramanian & Shantanu Bhattacharya & Vish V. Krishnan, 2015. "Pricing Information Goods: A Strategic Analysis of the Selling and Pay-per-Use Mechanisms," Marketing Science, INFORMS, vol. 34(2), pages 218-234, March.
    15. Enrico Moretti, 2011. "Social Learning and Peer Effects in Consumption: Evidence from Movie Sales," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 78(1), pages 356-393.
    16. Guofang Nan & Xingtao Li & Zan Zhang & Minqiang Li, 2018. "Optimal pricing for new product entry under free strategy," Information Technology and Management, Springer, vol. 19(1), pages 1-19, March.
    17. Yi, Zelong & Li, Fan & Ma, Lijun, 2019. "The impact of distribution channels on trial-version provision with a positive network effect," Omega, Elsevier, vol. 85(C), pages 115-133.
    18. Shen, Bin & Qian, Rongrong & Choi, Tsan-Ming, 2017. "Selling luxury fashion online with social influences considerations: Demand changes and supply chain coordination," International Journal of Production Economics, Elsevier, vol. 185(C), pages 89-99.
    19. Röthke, Konstantin & Klumpe, Johannes & Adam, Martin & Benlian, Alexander, 2020. "Social influence tactics in e-commerce onboarding: The role of social proof and reciprocity in affecting user registrations," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 119303, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    20. Ming Hu & Joseph Milner & Jiahua Wu, 2016. "Liking and Following and the Newsvendor: Operations and Marketing Policies Under Social Influence," Management Science, INFORMS, vol. 62(3), pages 867-879, March.
    21. Bikram Ghosh & Axel Stock, 2010. "Advertising Effectiveness, Digital Video Recorders, and Product Market Competition," Marketing Science, INFORMS, vol. 29(4), pages 639-649, 07-08.
    22. Sanjeev Dewan & Yi-Jen (Ian) Ho & Jui Ramaprasad, 2017. "Popularity or Proximity: Characterizing the Nature of Social Influence in an Online Music Community," Information Systems Research, INFORMS, vol. 28(1), pages 117-136, March.
    23. P. K. Kannan & Barbara Kline Pope & Sanjay Jain, 2009. "—Pricing Digital Content Product Lines: A Model and Application for the National Academies Press," Marketing Science, INFORMS, vol. 28(4), pages 620-636, 07-08.
    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. Monic Sun & Feng Zhu, 2013. "Ad Revenue and Content Commercialization: Evidence from Blogs," Management Science, INFORMS, vol. 59(10), pages 2314-2331, October.
    2. Anderson, Simon P. & Foros, Øystein & Kind, Hans Jarle, 2012. "Product quality, competition, and multi-purchasing," Discussion Papers 2012/9, Norwegian School of Economics, Department of Business and Management Science.
    3. Attila Ambrus & Emilio Calvano & Markus Reisinger, 2016. "Either or Both Competition: A "Two-Sided" Theory of Advertising with Overlapping Viewerships," American Economic Journal: Microeconomics, American Economic Association, vol. 8(3), pages 189-222, August.
    4. Liangfei Qiu & Arunima Chhikara & Asoo Vakharia, 2021. "Multidimensional Observational Learning in Social Networks: Theory and Experimental Evidence," Information Systems Research, INFORMS, vol. 32(3), pages 876-894, September.
    5. Chutian Wang & Bo Zhou & Yogesh V. Joshi, 2024. "Endogenous Consumption and Metered Paywalls," Marketing Science, INFORMS, vol. 43(1), pages 158-177, January.
    6. Zhihong Ke & De Liu & Daniel J. Brass, 2020. "Do Online Friends Bring Out the Best in Us? The Effect of Friend Contributions on Online Review Provision," Information Systems Research, INFORMS, vol. 31(4), pages 1322-1336, December.
    7. Simon P. Anderson & Bruno Jullien, 2015. "The advertising-financed business model in two-sided media markets," Post-Print hal-02866192, HAL.
    8. Carroni, Elias & Paolini, Dimitri, 2020. "Business models for streaming platforms: Content acquisition, advertising and users," Information Economics and Policy, Elsevier, vol. 52(C).
    9. Yunhyoung Kim & Jeonghoon Mo, 2018. "Pricing of Digital Video Supply Chain: Free versus Paid Service on the Direct Distribution Channel," Sustainability, MDPI, vol. 11(1), pages 1-14, December.
    10. Anthony Dukes & Qihong Liu & Jie Shuai, 2022. "Skippable Ads: Interactive Advertising on Digital Media Platforms," Marketing Science, INFORMS, vol. 41(3), pages 528-547, May.
    11. E. Carroni & D. Paolini, 2019. "The business model of a streaming platform," Working Paper CRENoS 201902, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    12. Monic Sun & Feng Zhu, 2011. "Ad Revenue and Content Commercialization: Evidence from Blogs," Working Papers 11-32, NET Institute.
    13. Song Lin, 2020. "Two-Sided Price Discrimination by Media Platforms," Marketing Science, INFORMS, vol. 39(2), pages 317-338, March.
    14. Stühmeier Torben & Wenzel Tobias, 2012. "Regulating Advertising in the Presence of Public Service Broadcasting," Review of Network Economics, De Gruyter, vol. 11(2), pages 1-23, June.
    15. Yingxue Zhao & Jiajia Nie & Jing Shao, 2017. "Business strategy analysis for an advertising service supply chain: a study with the publication industry," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(12), pages 1512-1520, December.
    16. Li, Feng & Du, Timon Chih-ting & Wei, Ying, 2019. "Offensive pricing strategies for online platforms," International Journal of Production Economics, Elsevier, vol. 216(C), pages 287-304.
    17. Johannes Loh, 2022. "Selection, Consumption, and New Music Exploration in an Online Social Network: A Dyadic Approach," CESifo Working Paper Series 10120, CESifo.
    18. Dietl, Helmut & Lang, Markus & Lin, Panlang, 2013. "Advertising pricing models in media markets: Lump-sum versus per-consumer charges," Information Economics and Policy, Elsevier, vol. 25(4), pages 257-271.
    19. Zhi Li & De-qing Tan, 2017. "Two-Stage Dynamic Pricing and Advertising Strategies for Online Video Services," Discrete Dynamics in Nature and Society, Hindawi, vol. 2017, pages 1-8, October.
    20. Zixuan Meng & Lin Hao & Yong Tan, 2021. "Freemium Pricing in Digital Games with Virtual Currency," Information Systems Research, INFORMS, vol. 32(2), pages 481-496, 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:spr:elcore:v:23:y:2023:i:1:d:10.1007_s10660-021-09504-w. 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.