IDEAS home Printed from https://ideas.repec.org/a/inm/ormnsc/v53y2007i9p1359-1374.html
   My bibliography  Save this article

The Effect of Digital Sharing Technologies on Music Markets: A Survival Analysis of Albums on Ranking Charts

Author

Listed:
  • Sudip Bhattacharjee

    (Department of Operations and Information Management, School of Business, University of Connecticut, Storrs, Connecticut 06269)

  • Ram D. Gopal

    (Department of Operations and Information Management, School of Business, University of Connecticut, Storrs, Connecticut 06269)

  • Kaveepan Lertwachara

    (Department of Management, California Polytechnic State University, San Luis Obispo, California 93407)

  • James R. Marsden

    (Department of Operations and Information Management, School of Business, University of Connecticut, Storrs, Connecticut 06269)

  • Rahul Telang

    (H. John Heinz III School of Public Policy and Management, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213)

Abstract

Recent technological and market forces have profoundly impacted the music industry. Emphasizing threats from peer-to-peer (P2P) technologies, the industry continues to seek sanctions against individuals who offer a significant number of songs for others to copy. Combining data on the performance of music albums on the Billboard charts with file sharing data from a popular network, we assess the impact of recent developments related to the music industry on survival of music albums on the charts and evaluate the specific impact of P2P sharing on an album's survival on the charts. In the post-P2P era, we find significantly reduced chart survival except for those albums that debut high on the charts. In addition, superstars and female artists continue to exhibit enhanced survival. Finally, we observe a narrowing of the advantage held by major labels. The second phase of our study isolates the impact of file sharing on album survival. We find that, although sharing does not hurt the survival of top-ranked albums, it does have a negative impact on low-ranked albums. These results point to increased risk from rapid information sharing for all but the "cream of the crop."

Suggested Citation

  • 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.
    • Handle: RePEc:inm:ormnsc:v:53:y:2007:i:9:p:1359-1374
    DOI: 10.1287/mnsc.1070.0699
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/mnsc.1070.0699
    Download Restriction: no
    File URL: https://libkey.io/10.1287/mnsc.1070.0699?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. De Vany, Arthur S. & Walls, W. David, 2004. "Motion picture profit, the stable Paretian hypothesis, and the curse of the superstar," Journal of Economic Dynamics and Control, Elsevier, vol. 28(6), pages 1035-1057, March.
    2. W. D. Walls, 2005. "Modelling heavy tails and skewness in film returns," Applied Financial Economics, Taylor & Francis Journals, vol. 15(17), pages 1181-1188.
    3. Ravid, S Abraham, 1999. "Information, Blockbusters, and Stars: A Study of the Film Industry," The Journal of Business, University of Chicago Press, vol. 72(4), pages 463-492, October.
    4. Hamlen, William A, Jr, 1991. "Superstardom in Popular Music: Empirical Evidence," The Review of Economics and Statistics, MIT Press, vol. 73(4), pages 729-733, November.
    5. 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.
    6. W. Walls, 2005. "Modeling Movie Success When ‘Nobody Knows Anything’: Conditional Stable-Distribution Analysis Of Film Returns," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 29(3), pages 177-190, August.
    7. Erik Brynjolfsson & Michael D. Smith, 2000. "Frictionless Commerce? A Comparison of Internet and Conventional Retailers," Management Science, INFORMS, vol. 46(4), pages 563-585, April.
    8. Bakos, Yannis & Brynjolfsson, Erik & Lichtman, Douglas, 1999. "Shared Information Goods," Journal of Law and Economics, University of Chicago Press, vol. 42(1), pages 117-155, April.
    9. W. Crain & Robert Tollison, 2002. "Consumer Choice and the Popular Music Industry: A Test of the Superstar Theory," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 29(1), pages 1-9, March.
    10. MacDonald, Glenn M, 1988. "The Economics of Rising Stars," American Economic Review, American Economic Association, vol. 78(1), pages 155-166, March.
    11. Bradlow E. T & Fader P. S, 2001. "A Bayesian Lifetime Model for the," Journal of the American Statistical Association, American Statistical Association, vol. 96, pages 368-381, June.
    12. Arthur De Vany & W. Walls, 1999. "Uncertainty in the Movie Industry: Does Star Power Reduce the Terror of the Box Office?," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 23(4), pages 285-318, November.
    13. Belzil, Christian, 1995. "Unemployment Insurance and Unemployment over Time: An Analysis with Event History Data," The Review of Economics and Statistics, MIT Press, vol. 77(1), pages 113-126, February.
    14. Chung, Kee H & Cox, Raymond A K, 1994. "A Stochastic Model of Superstardom: An Application of the Yule Distribution," The Review of Economics and Statistics, MIT Press, vol. 76(4), pages 771-775, November.
    15. Felix Oberholzer-Gee & Koleman Strumpf, 2007. "The Effect of File Sharing on Record Sales: An Empirical Analysis," Journal of Political Economy, University of Chicago Press, vol. 115(1), pages 1-42.
    16. Nelson, Phillip, 1970. "Information and Consumer Behavior," Journal of Political Economy, University of Chicago Press, vol. 78(2), pages 311-329, March-Apr.
    17. Rosen, Sherwin, 1981. "The Economics of Superstars," American Economic Review, American Economic Association, vol. 71(5), pages 845-858, December.
    18. Liebowitz, Stan J, 2006. "File Sharing: Creative Destruction or Just Plain Destruction?," Journal of Law and Economics, University of Chicago Press, vol. 49(1), pages 1-28, April.
    19. Cunningham, Brendan M. & Alexander, Peter J. & Adilov, Nodir, 2004. "Peer-to-peer file sharing communities," Information Economics and Policy, Elsevier, vol. 16(2), pages 197-213, June.
    20. Bell, Ann Maria, 2002. "Locally interdependent preferences in a general equilibrium environment," Journal of Economic Behavior & Organization, Elsevier, vol. 47(3), pages 309-333, March.
    21. Ram D. Gopal & G. Lawrence Sanders, 2006. "Do Artists Benefit from Online Music Sharing?," The Journal of Business, University of Chicago Press, vol. 79(3), pages 1503-1534, May.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. 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.
    3. Angela (Xia) Liu & Tridib Mazumdar & Bo Li, 2015. "Counterfactual Decomposition of Movie Star Effects with Star Selection," Management Science, INFORMS, vol. 61(7), pages 1704-1721, July.
    4. 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.
    5. 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.
    6. Jordi McKenzie, 2010. "How do theatrical box office revenues affect DVD retail sales? Australian empirical evidence," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 34(3), pages 159-179, August.
    7. 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.
    8. Nela Filimon & Jordi López-Sintas & Carlos Padrós-Reig, 2011. "A test of Rosen’s and Adler’s theories of superstars," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 35(2), pages 137-161, May.
    9. Gaenssle Sophia & Budzinski Oliver & Astakhova Daria, 2018. "Conquering the Box Office: Factors Influencing Success of International Movies in Russia," Review of Network Economics, De Gruyter, vol. 17(4), pages 245-266, December.
    10. Budzinski, Oliver & Kohlschreiber, Marie & Kuchinke, Björn & Pannicke, Julia, 2019. "Does music quality matter for audience voters in a music contest?," Ilmenau Economics Discussion Papers 122, Ilmenau University of Technology, Institute of Economics.
    11. Jordi McKenzie, 2010. "Do 'African American' films perform better or worse at the box office? An empirical analysis of motion picture revenues and profits," Applied Economics Letters, Taylor & Francis Journals, vol. 17(16), pages 1559-1564.
    12. Hofmann, Julian & Clement, Michel & Völckner, Franziska & Hennig-Thurau, Thorsten, 2017. "Empirical generalizations on the impact of stars on the economic success of movies," International Journal of Research in Marketing, Elsevier, vol. 34(2), pages 442-461.
    13. W. Walls, 2010. "Superstars and heavy tails in recorded entertainment: empirical analysis of the market for DVDs," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 34(4), pages 261-279, November.
    14. Ana Suárez-Vázquez, 2011. "Critic power or star power? The influence of hallmarks of quality of motion pictures: an experimental approach," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 35(2), pages 119-135, May.
    15. Giles, David E., 2006. "Superstardom in the US popular music industry revisited," Economics Letters, Elsevier, vol. 92(1), pages 68-74, July.
    16. 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.
    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. Frederick Derrick & Nancy Williams & Charles Scott, 2014. "A two-stage proxy variable approach to estimating movie box office receipts," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 38(2), pages 173-189, May.
    19. Francesco Angelini & Massimiliano Castellani, 2019. "Cultural and economic value: a critical review," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 43(2), pages 173-188, June.
    20. 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.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:inm:ormnsc:v:53:y:2007:i:9:p:1359-1374. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.