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The Dynamics of Chart Success in the UK Pre-Resorded Popular Music Industry

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  • Strobl, E.
  • Tucker, C.

Abstract

In this paper we investigate the dynamics of chart success in the UK pre-recorded popular music industry over the period 1980 to 1993 using British album chart listings. We find that the incidence of chart succedd is substantially skewed to the right, whether measured by total weeks spent per artist, average weeks spent per album, or the total number of albums listed per artist. We subsequently investigate possible determinants of the length of chart survival of albums in order to determine what may be driving the observed skewness. Our results indicate that the type of album, seasonal demand, and initial popularity play an important role in ensuring continued chart listing of an album.

Suggested Citation

  • Strobl, E. & Tucker, C., 1999. "The Dynamics of Chart Success in the UK Pre-Resorded Popular Music Industry," Papers 99/10, College Dublin, Department of Political Economy-.
    • Handle: RePEc:fth:dublec:99/10
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    Cited by:

    1. David Giles, 2007. "Increasing returns to information in the US popular music industry," Applied Economics Letters, Taylor & Francis Journals, vol. 14(5), pages 327-331.
    2. Steininger, Dennis M. & Gatzemeier, Simon, 2019. "Digitally forecasting new music product success via active crowdsourcing," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 167-180.
    3. Sudip Bhattacharjee & Ram D. Gopal & Kaveepan Lertwachara & James R. Marsden & Rahul Telang, 2007. "The Effect of Digital Sharing Technologies on Music Markets: A Survival Analysis of Albums on Ranking Charts," Management Science, INFORMS, vol. 53(9), pages 1359-1374, September.
    4. Seungkyu Shin & Juyong Park, 2018. "On-Chart Success Dynamics Of Popular Songs," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 21(03n04), pages 1-18, May.
    5. David Giles, 2007. "Survival of the hippest: life at the top of the hot 100," Applied Economics, Taylor & Francis Journals, vol. 39(15), pages 1877-1887.
    6. Jonathan Gander & Alison Rieple, 2004. "How Relevant is Transaction Cost Economics to Inter-Firm Relationships in the Music Industry?," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 28(1), pages 57-79, February.
    7. Aloys Prinz, 2017. "Rankings as coordination games: the Dutch Top 2000 pop song ranking," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 41(4), pages 379-401, November.
    8. Hofmann, Julian & Schnittka, Oliver & Johnen, Marius & Kottemann, Pascal, 2021. "Talent or popularity: What drives market value and brand image for human brands?," Journal of Business Research, Elsevier, vol. 124(C), pages 748-758.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. Andrés González-Moralejo, S & Compés López, R, 2009. "Problemas contractuales y acuerdos de subcontratación: El caso de la logística frigorífica en la industria alimentaria valenciana/," Estudios de Economia Aplicada, Estudios de Economia Aplicada, vol. 27, pages 279(30á)-27, Abril.
    14. Sumiko Asai, 2011. "Demand analysis of hit music in Japan," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 35(2), pages 101-117, May.
    15. Christian Peukert, 2019. "The next wave of digital technological change and the cultural industries," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 43(2), pages 189-210, June.
    16. Jordi McKenzie & Vladimir Smirnov, 2018. "Blockbusters and market expansion: evidence from the motion picture industry," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 42(2), pages 341-352, May.
    17. Sudip Bhattacharjee & Ram D. Gopal & Kaveepan Lertwachara & James R. Marsden & Rahul Telang, 2005. "The Effect of P2P File Sharing on Music Markets: A Survival Analysis of Albums on Ranking Charts," Working Papers 05-26, NET Institute, revised Oct 2005.
    18. Andrew E Burke, 2011. "The Music Industry," Chapters, in: Ruth Towse (ed.), A Handbook of Cultural Economics, Second Edition, chapter 41, Edward Elgar Publishing.
    19. Ordanini, Andrea & Nunes, Joseph C., 2016. "From fewer blockbusters by more superstars to more blockbusters by fewer superstars: How technological innovation has impacted convergence on the music chart," International Journal of Research in Marketing, Elsevier, vol. 33(2), pages 297-313.
    20. Mehrafshan, Nima & Goerke, Björn & Clement, Michel, 2016. "The Effect of Unexpected Chart Positions on the Firm Value of Music Labels. An Event Study of Album Success," EconStor Preprints 142161, ZBW - Leibniz Information Centre for Economics.
    21. Philip Hans Franses, 2023. "On the life cycles of successful rock bands," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(5), pages 4693-4707, October.
    22. Choicharoon, Aritad & Hodgett, Richard & Summers, Barbara & Siraj, Sajid, 2024. "Hit or miss: A decision support system framework for signing new musical talent," European Journal of Operational Research, Elsevier, vol. 312(1), pages 324-337.

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    More about this item

    Keywords

    MUSIC ; CULTURAL INDUSTRY;

    JEL classification:

    • L82 - Industrial Organization - - Industry Studies: Services - - - Entertainment; Media

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