Blockchain-Driven Music Copyright Distribution: An Agent-Based Modeling Perspective

Authors

  • Hongtao Pan
  • Jie Qian

DOI:

https://doi.org/10.62051/ijgem.v4n1.70

Keywords:

Blockchain, Smart Contracts, Agent-Based Modeling (ABM), Music Industry, Music Copyright Distribution

Abstract

Purpose-The purpose of this paper is to investigate the transformative potential of blockchain technology in the realm of music copyright distribution, focusing on how it addresses the inefficiencies and challenges of traditional systems. The aim is to enhance transparency, ensure fair revenue distribution, and streamline copyright management processes. Design / Methodology / Approach-To achieve these objectives, we employ an Agent-Based Model (ABM) to simulate the operations of a blockchain-enabled music copyright distribution system. This model captures the dynamics and interactions among key stakeholders—music creators, copyright organizations, and listeners—in a blockchain environment. By modeling scenarios and behaviors within this framework, we can evaluate the impact of blockchain on the music industry's ecosystem. Findings-Our findings reveal that blockchain technology significantly improves the efficiency and fairness of music copyright distribution. With blockchain, every transaction involving music works is accurately recorded, providing an immutable ledger that enhances transparency and traceability. Smart contracts automate the execution of copyright agreements, reducing the need for human intervention, minimizing errors, and lowering administrative costs. Stakeholders benefit from more equitable revenue sharing and reduced disputes over ownership rights. Practical Implications-The practical implications of our research highlight the opportunities for the music industry to leverage blockchain technology for more effective copyright management. By implementing blockchain-based solutions, music creators can gain greater control over their intellectual property, while listeners can access music content with confidence in its authenticity and legal status. Copyright organizations stand to benefit from reduced operational costs and enhanced reputation for fairness. Originality/Value-This study contributes to the literature by offering a comprehensive analysis of blockchain's role in music copyright distribution through the lens of an ABM simulation. It provides empirical evidence of the technology's potential to revolutionize the industry, addressing longstanding issues related to copyright management. The findings offer actionable insights for policymakers, industry professionals, and technology developers looking to harness the benefits of blockchain for music copyright distribution.

References

[1] Zhu Xin. “Discussion on the Management Mechanism of Interests in China's Digital Music Copyright”, China Publishing, Vol.04, pp. 67-70, 2009.

[2] Hagel III J, Rayport J F. “The new infomediaries” The McKinsey Quarterly, Vol.04, pp.54, 1997.

[3] Meng Na. “Research on the Institutional Protection of Innovation in China's Digital Music Business Model” Shanghai: East China University of Political Science and Law, 2018.

[4] Song Yao. “Media Supervision”, Pollution Control Investment and Green Innovation. Dalian: Dalian University of Finance and Economics, 2018.

[5] Chakham J P. “Corporate governance: Lessons from Abroad”. European Business Journal, Vol.02, pp.8-16,1992

[6] Mitchell A W. “Toward a theory of stakeholder identification and salience: Defining the principle of who and what really counts”. The Academy of Management Review, Vol.04, pp. 853-886, 1997. DOI: https://doi.org/10.5465/amr.1997.9711022105

[7] Swarbrooke J. “Sustainable tourism management”. Annals of Tourism Research, Vol.02, pp. 523-525,1992.

[8] Wu Ling, Chen Weizheng. “Research on the Quantitative Model for Enterprises to Implement Classified Management of Stakeholders”. China Industrial Economics, Vol.06, pp.70-76, 2003.

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Published

27-08-2024

Issue

Section

Arcicles

How to Cite

Pan, H., & Qian, J. (2024). Blockchain-Driven Music Copyright Distribution: An Agent-Based Modeling Perspective. International Journal of Global Economics and Management, 4(1), 594-600. https://doi.org/10.62051/ijgem.v4n1.70