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Selection models in the music industry: How a prior independent experience may affect chart success

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  • Andrea Ordanini

Abstract

The is article analyses the two main approaches for artists’ selection in the recording industry: the direct model in which large major companies directly choose new artists from the supply market, and the agency model in which small independent labels realise the first choice and, subsequently, large organisations pick their new artists among those pre-selected by independents. An empirical analysis of chart sales reveals that artists selected through the agency model exhibit a longer presence on the chart due to repeated successes, while they are slower to reach heavy success once they have entered the chart. Conversely, the direct model leads to artists with a faster path to a strong success, but the same artists have a shorter presence on the chart due to the sporadic nature of their success. The profile of artists selected through these two models is also found to be different: big international soloist stars are more frequently selected through the direct model, while national bands are more frequently selected through the agency model. The insights suggest important implications for management in the cultural industries and especially in the recording industry. Copyright Springer Science+Business Media, Inc. 2006

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  • Andrea Ordanini, 2006. "Selection models in the music industry: How a prior independent experience may affect chart success," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 30(3), pages 183-200, December.
  • Handle: RePEc:kap:jculte:v:30:y:2006:i:3:p:183-200
    DOI: 10.1007/s10824-006-9013-8
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    Cited by:

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    2. Waldfogel, Joel & Reimers, Imke, 2015. "Storming the gatekeepers: Digital disintermediation in the market for books," Information Economics and Policy, Elsevier, vol. 31(C), pages 47-58.
    3. Samuel Cameron, 2016. "Past, present and future: music economics at the crossroads," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 40(1), pages 1-12, February.
    4. Daegon Cho & Seok Ho Lee & Yeawon Yoo & Hyo-Youn Chu, 2019. "Television singing competitions create stars? Empirical evidence from the digital music chart in South Korea," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 43(1), pages 1-20, March.
    5. Christian Peukert & Imke Reimers, 2022. "Digitization, Prediction, and Market Efficiency: Evidence from Book Publishing Deals," Management Science, INFORMS, vol. 68(9), pages 6907-6924, September.
    6. Brinja Meiseberg, 2014. "Trust the artist versus trust the tale: performance implications of talent and self-marketing in folk music," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 38(1), pages 9-42, February.
    7. Juan D. Montoro-Pons & Manuel Cuadrado-García, 2018. "“Let’s make lots of money”: the determinants of performance in the recorded music sector," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 42(2), pages 287-307, May.
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    10. Daniel Kaimann & Ilka Tanneberg & Joe Cox, 2021. "“I will survive”: Online streaming and the chart survival of music tracks," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 42(1), pages 3-20, January.

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