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The Dynamics of Chart Success in the U.K. Pre-Recorded Popular Music Industry

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  • Eric Strobl
  • Clive Tucker

Abstract

In this paper we investigate the dynamics of chartsuccess in the U.K. pre-recorded popular music industryover the period 1980 to 1993 using the British albumchart listings. We find that the incidence of chartsuccess is substantially skewed to the right, whethermeasured by total weeks spent per artist, averageweeks spent per album, or the total number of albumslisted per artist. We subsequently investigatepossible determinants of the length of chart survivalof albums in order to determine what may be drivingthe observed skewness. Our results indicate that thetype of album, seasonal demand, and initial popularityplay an important role in ensuring continued chartlisting of an album. Copyright Kluwer Academic Publishers 2000

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  • Eric Strobl & Clive Tucker, 2000. "The Dynamics of Chart Success in the U.K. Pre-Recorded Popular Music Industry," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 24(2), pages 113-134, May.
    • Handle: RePEc:kap:jculte:v:24:y:2000:i:2:p:113-134
    DOI: 10.1023/A:1007601402245
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    Cited by:

    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. Andrew E Burke, 2011. "The Music Industry," Chapters, in: Ruth Towse (ed.), A Handbook of Cultural Economics, Second Edition, chapter 41, Edward Elgar Publishing.
    13. 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.
    14. 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.
    15. 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.
    16. 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.
    17. 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.
    18. 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.
    19. 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.
    20. 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.
    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. 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.

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    More about this item

    Keywords

    greatest hits; popular music; soundtracks;
    All these keywords.

    JEL classification:

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

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