Transparency, technology and trust: Music metrics and cultural distortion

Прозрачность, технологии и доверие: музыкальные метрики и культурное искажение
Jay D. Mogis
2020-01-01

DCA modelcopyright throughput accuracymusic industry practicesmusic licensingtechnology transfer
Transparency issues influence many aspects of modern society and are critical in balancing the dichotomy between personalisation and privacy. Transparency behaviours have previously been refined into the disclosure, clarity and accuracy (DCA) model (Schnackenberg & Tomlinson, 2014). This thesis has two projects. Project 1 makes a significant contribution to the research literature on transparency and music industry practices by testing the DCA model. Project 2 presents an investigation into music licensing, missing revenue and technology transfer in Australia. The findings suggest an accreditation system for copyright throughput accuracy could function as a potential roadmap for transparency innovation more broadly.
1
It investigates music licensing, missing revenue, and technology transfer within the Australian music sector.
2
The findings suggest that accrediting copyright-throughput accuracy could provide a roadmap for broader transparency innovation.
3
The thesis tests the disclosure, clarity, and accuracy (DCA) model as a framework for evaluating transparency in music industry practices.
4
The work links transparency challenges to tensions between personalization and privacy in modern society.

Music industry practices, including music licensing, copyright revenue flows, and technology transfer in Australia

Transparency, trust, and cultural distortion in music metrics and industry practices, including disclosure, clarity, accuracy, missing revenue, and copyright-throughput accreditation

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2020-01-01
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Jay D. Mogis
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