An analysis of influencing factors of generative AI in pop music creation

Authors : Shiyue Zhang, Hyuntai Kim
Pages : 572-583
Doi:10.31811/ojomus.1668288
View : 77 | Download : 103
Publication Date : 2025-07-28
Article Type : Research Paper
Abstract :The fast pace of generative artificial intelligence (AI) has already revolutionized several creative fields, especially pop music production, by introducing fresh composition, production, and sound design tools. This research explores the determinants of generative AI adoption within pop music production based on Partial Least Squares Structural Equation Modeling (PLS-SEM) to examine its influence on creativity, production practices, and industry sentiment. The investigation hypothesizes that generative AI improves creative production by changing music creation procedures and influencing listener commitment. The investigation examines several important factors, such as user engagement (UE), artist autonomy (AA), collaborative perception (CP), emotional effect (EI), perceived quality of AI-generated music (PQ), creativity enhancement (CE), and music production efficiency (MPE). A total of 100 professional composers and 200 aspiring artists along with 500 music listeners formed the sample that completed surveys and collaborated with AI in music creation activities. SmartPLS 3.2.9 performed statistical testing using path analysis techniques, which examined direct and indirect variable relationships through structural equation modeling procedures. The results indicate that CE (β = 0.298, p < 0.01) and UE (β = 0.248, p < 0.05) have a significant impact on the adoption of AI tools in music production, while PQ plays a substantial role in determining both behavioral intention (BI) and actual usage behavior (UB). The findings propose that while AI tools are widely included by fresher artists for their creative latent, concerns regarding authorship rights, originality, and the role of human participation in music-making remain. This exploration contributes to a deeper empathy of how AI is reshaping pop music creation and offers valuable insights into its broader implications for the music industry.
Keywords : üretken AI, pop müzik yaratımı, yaratıcılığın artırılması, müzik prodüksiyon verimliliği, kullanıcı katılımı, müzik bestecileri

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