Valuing Independence: Esteem Value and Its Role in the Independent Music Scene.

This article reports on a qualitative study investigating the characteristics, motivations, and organization of a sample of self-identified “Indies.” It identifies three characteristic dimensions of life for the Independent musician in the digital age: the “intrinsic motivation for extrinsic value”...

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Publicado en:Popular Music & Society Vol. 35; no. 4; pp. 519 - 540
Autor principal: Brown, Hugh
Formato: Artículo
Publicado: Taylor & Francis Ltd Oct2012
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Acceso en línea:Ver este registro en EBSCOhost
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        au: Brown, Hugh
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        Qualitative research
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        Motivation (Psychology)
        Music industry
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          Qualitative research
          Life
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          Motivation (Psychology)
          Music industry
      ab: This article reports on a qualitative study investigating the characteristics, motivations, and organization of a sample of self-identified “Indies.” It identifies three characteristic dimensions of life for the Independent musician in the digital age: the “intrinsic motivation for extrinsic value” dimension; the “independence as network” dimension; and the “artist as business” dimension. The author argues that these dimensions are linked by their relevance to the esteem that musicians must generate in pursuit of a sustainable career. They also characterize levels of artistic control, network diversity, and business intimacy within a musician's relationships. These dimensions are rarely occupied at their extremes; rather, a wide variety of positions are taken up between totally independent and totally “indentured” musicians. Seeing relative “independence” as a combination of these three dimensions helps us more clearly understand the dynamics of emergent new music industries.
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      custom: Copyright of Popular Music & Society is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use.
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