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Optimal Pricing Model of Digital Music: Subscription, Ownership or Mixed?

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  • Shengli Li
  • Qiuyue Luo
  • Liangfei Qiu
  • Subhajyoti Bandyopadhyay

Abstract

Traditionally, consumers purchase physical music (often in the form of CDs or cassettes) from local retailers. With the development of Internet technology, the market share of digital music has grown rapidly in recent years. Unlike physical music, digital music is provided by several emerging digital music providers through the Internet to consumers. Pricing models of digital music are also drastically different from those of physical music. In this study, we identify three common schemes for selling digital music: ownership, subscription and mixed pricing models. Under the ownership model, consumers purchase and download their preferred songs and enjoy music using their local devices. Under the subscription model, music is provided through an online streaming service. The mixed pricing model is a combination of the previous two. Our paper explores and compares the three pricing models. Through a stylized model, we find that several factors, including the advertisement revenue rate and consumers’ reservation value for the music service, have crucial effects on the comparison of the three pricing models.

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  • 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.
  • Handle: RePEc:bla:popmgt:v:29:y:2020:i:3:p:688-704
    DOI: 10.1111/poms.13131
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    2. Tang, Hua & Chen, Jing & Ai, Xingzheng & Li, Xiaojing & He, Haojia, 2023. "First-party content decision under competitive hardware/software platforms: Free vs. charge," European Journal of Operational Research, Elsevier, vol. 311(3), pages 1068-1083.
    3. Schlicher, L. & Dietzenbacher, Bas & Musegaas, Marieke, 2023. "Stable streaming platforms: a cooperative game approach," Research Memorandum 001, Maastricht University, Graduate School of Business and Economics (GSBE).
    4. Jaeung Sim & Daegon Cho & Youngdeok Hwang & Rahul Telang, 2022. "Frontiers: Virus Shook the Streaming Star: Estimating the COVID-19 Impact on Music Consumption," Marketing Science, INFORMS, vol. 41(1), pages 19-32, January.
    5. Manish Gangwar & Hemant K. Bhargava, 2023. "Pricing on‐demand services: Alternative ways of combining usage and access fees," Production and Operations Management, Production and Operations Management Society, vol. 32(1), pages 11-27, January.
    6. Zhijun Yan & Lini Kuang & Liangfei Qiu, 2022. "Prosocial behaviors and economic performance: Evidence from an online mental healthcare platform," Production and Operations Management, Production and Operations Management Society, vol. 31(10), pages 3859-3876, October.
    7. Xiaowei Mei & Hsing Kenneth Cheng & Subhajyoti Bandyopadhyay & Liangfei Qiu & Lai Wei, 2022. "Sponsored Data: Smarter Data Pricing with Incomplete Information," Information Systems Research, INFORMS, vol. 33(1), pages 362-382, March.
    8. Qingning Cao & Xianjun Geng & Jun Zhang, 2022. "Impact of channel structure on a manufacturer's bundling decision with an application to digital goods," Production and Operations Management, Production and Operations Management Society, vol. 31(4), pages 1679-1697, April.
    9. 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.
    10. Bo Li & Subodha Kumar, 2022. "Managing Software‐as‐a‐Service: Pricing and operations," Production and Operations Management, Production and Operations Management Society, vol. 31(6), pages 2588-2608, June.
    11. 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.
    12. Yan Zhao & Yuan Ni, 2022. "The Pricing Strategy of Digital Content Resources Based on a Stackelberg Game," Sustainability, MDPI, vol. 14(24), pages 1-16, December.
    13. Chernonog, Tatyana & Levy, Priel, 2023. "Co-creation of mobile app quality in a two-platform supply chain when platforms are asymmetric," European Journal of Operational Research, Elsevier, vol. 308(1), pages 183-200.
    14. Wu, Jie & Li, Yunbing & Dong, Yu & Zha, Yong, 2023. "Sponsored data: A game-theoretic model with consumer multihoming behaviour," European Journal of Operational Research, Elsevier, vol. 307(2), pages 731-744.

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