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Exploring the Role of Deep Learning Technology in the Sustainable Development of the Music Production Industry

Author

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  • Sung-Shun Weng

    (Department of Information and Finance Management, National Taipei University of Technology, 1, Sec. 3, Zhongxiao E. Rd., Taipei 10608, Taiwan)

  • Hung-Chia Chen

    (College of Management, National Taipei University of Technology, 1, Sec. 3, Zhongxiao E. Rd., Taipei 10608, Taiwan)

Abstract

This study explores the role of deep learning technology in the sustainable development of the music production industry. This article surveys the opinions of Taiwanese music creation professionals and uses partial least squares (PLS) regression to analyze and elucidate the importance of deep learning technology in the music production industry. We found that deep learning cannot replace human creativity, but greater investment in this technology can improve the quality of music creation. In order to achieve sustainable development in the music production industry, industry participants need to awaken consumers’ awareness of music quality, actively enhance the unique value of their art, and strengthen cooperation between industries to provide a friendly environment for listeners.

Suggested Citation

  • Sung-Shun Weng & Hung-Chia Chen, 2020. "Exploring the Role of Deep Learning Technology in the Sustainable Development of the Music Production Industry," Sustainability, MDPI, vol. 12(2), pages 1-20, January.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:2:p:625-:d:308864
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    References listed on IDEAS

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    1. Holbrook, Morris B & Hirschman, Elizabeth C, 1982. "The Experiential Aspects of Consumption: Consumer Fantasies, Feelings, and Fun," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 9(2), pages 132-140, September.
    2. Meisiek, Stefan & Barry, Daved, 2018. "Finding the sweet spot between art and business in analogically mediated inquiry," Journal of Business Research, Elsevier, vol. 85(C), pages 476-483.
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    Cited by:

    1. Leonardo Banh & Gero Strobel, 2023. "Generative artificial intelligence," Electronic Markets, Springer;IIM University of St. Gallen, vol. 33(1), pages 1-17, December.

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