AI and the Music Industry: A Research Framework, Methodology, and Data Collection Kit

Jefferson Seyanya Seneadza; Obed Kwame Adzaku Penu; Sheena Lovia Boateng; Richard Boateng; Jonathan Barnor

doi:10.4324/9781003595656-3

AI and the Music Industry: A Research Framework, Methodology, and Data Collection Kit

Jefferson Seyanya Seneadza, Obed Kwame Adzaku Penu, Sheena Lovia Boateng, Richard Boateng, Jonathan Barnor

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Abstract

The previous chapter examined the diverse impact of artificial intelligence (AI) on the music industry’s entire process of creating and distributing music. It thoroughly examined how AI is changing the production, distribution, marketing, education, and consumption of music, among other phases. This chapter builds on that foundation by presenting a detailed research framework and methodology for studying AI’s integration in the music industry. Using the Motivation-Opportunity-Ability (MOA) framework, this chapter delves into the theoretical underpinnings and data collection instruments needed to investigate AI’s influence on the industry.

Original language	English
Title of host publication	AI and the Music Industry
Subtitle of host publication	Transforming Production, Platforms, and Practice
Publisher	Taylor and Francis
Pages	59-78
Number of pages	20
ISBN (Electronic)	9781040332580
ISBN (Print)	9781032978307
DOIs	https://doi.org/10.4324/9781003595656-3
Publication status	Published - 1 Jan 2025
Externally published	Yes

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AI and the Music Industry: A Research Framework, Methodology, and Data Collection Kit. / Seneadza, Jefferson Seyanya; Penu, Obed Kwame Adzaku; Boateng, Sheena Lovia et al.
AI and the Music Industry: Transforming Production, Platforms, and Practice. Taylor and Francis, 2025. p. 59-78.

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

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AU - Barnor, Jonathan

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AI and the Music Industry: A Research Framework, Methodology, and Data Collection Kit

Abstract

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