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The next wave of digital technological change and the cultural industries

  • Christian PeukertEmail author
Original Article

Abstract

In this proposal of a research agenda for cultural economics, I discuss the supply-side economics of the next wave of digital technological change. I begin by arguing that digitization and internet-enabled platforms, together with automated licensing of user-generated content, have substantially lowered the costs of individual-level cultural participation. I discuss how the dependence on advertising revenues may affect this dynamic and highlight some implications for the economics of copyright. Next, I discuss circumstances under which market data, which have become much less expensive to collect at more fine-grained levels, can trigger differentiation of cultural products. Finally, I speculate about the economic implications of artificial intelligence that complements, or perhaps substitutes for human creativity with regard to cultural participation, copyright and the industrial organization of culture.

Keywords

Digital cultural participation Big data Artificial intelligence Creative machines 

References

  1. Acemoglu, D., & Restrepo, P. (2018). Artificial intelligence, automation and work. NBER working paper 24196.Google Scholar
  2. Agrawal, A., Catalini, C., & Goldfarb, A. (2015). Crowdfunding: Geography, social networks, and the timing of investment decisions. Journal of Economics & Management Strategy, 24(2), 253–274.CrossRefGoogle Scholar
  3. Aguiar, L., Claussen, J., & Peukert, C. (2018). Catch me if you can: Effectiveness and consequences of online copyright enforcement. Information Systems Research, 29(3), 656–678.CrossRefGoogle Scholar
  4. Aguiar, L., & Waldfogel, J. (2017). Netflix: Global hegemon or facilitator of frictionless digital trade? Journal of Cultural Economics, 42(3), 419–445.CrossRefGoogle Scholar
  5. Aguiar, L., & Waldfogel, J. (2018a). Platforms, promotion, and product discovery: Evidence from spotify playlists. JRC digital economy working paper, 2018/04.Google Scholar
  6. Aguiar, L., & Waldfogel, J. (2018b). Quality predictability and the welfare benefits from new products: Evidence from the digitization of recorded music. Journal of Political Economy, 126(2), 492–524.CrossRefGoogle Scholar
  7. Aguiar, L., & Waldfogel, J. (2018c). Streaming reaches flood stage: Does spotify stimulate or depress music sales? International Journal of Industrial Organization, 57, 278–307.CrossRefGoogle Scholar
  8. Anderson, C. (2006). The long tail: How endless choice is creating unlimited demand. London: Random House.Google Scholar
  9. Anderson, S. P., & Coate, S. (2005). Market provision of broadcasting: A welfare analysis. The Review of Economic Studies, 72(4), 947–972.CrossRefGoogle Scholar
  10. Arai, Y., & Kinukawa, S. (2014). Copyright infringement as user innovation. Journal of Cultural Economics, 38(2), 131–144.CrossRefGoogle Scholar
  11. Autor, D. H. (2015). Why are there still so many jobs? The history and future of workplace automation. Journal of Economic Perspectives, 29(3), 3–30.CrossRefGoogle Scholar
  12. Bakhshi, H., & Throsby, D. (2014). Digital complements or substitutes? A quasi-field experiment from the royal national theatre. Journal of Cultural Economics, 38(1), 1–8.CrossRefGoogle Scholar
  13. Batikas, M., Claussen, J., & Peukert, C. (2018). Follow the money: Online piracy and self-regulation in the advertising industry. CESifo working paper 6852.Google Scholar
  14. Baumol, W. J., & Bowen, W. G. (1966). Performing arts, the economic dilemma: A study of problems common to theater, opera, music and dance. Cambridge: MIT Press.Google Scholar
  15. BBC. (2014). Pharrell’s hit video inspires 1,000 re-makes. http://www.bbc.com/news/blogs-trending-26889726. Accessed April 12, 2018.
  16. Beck, J. (2007). The sales effect of word of mouth: A model for creative goods and estimates for novels. Journal of Cultural Economics, 31(1), 5–23.CrossRefGoogle Scholar
  17. Beck, J. (2012). Advance contracting, word-of-mouth, and new-product success in creative industries: A quantification for books. Journal of Media Economics, 25(2), 75–97.CrossRefGoogle Scholar
  18. Becker, G. S., & Murphy, K. M. (1993). A simple theory of advertising as a good or bad. The Quarterly Journal of Economics, 108(4), 941–964.CrossRefGoogle Scholar
  19. Bénabou, R., & Tirole, J. (2006). Incentives and prosocial behavior. American Economic Review, 96(5), 1652–1678.CrossRefGoogle Scholar
  20. Benner, M. J., & Waldfogel, J. (2016). The song remains the same? Technological change and positioning in the recorded music industry. Strategy Science, 1(3), 129–147.CrossRefGoogle Scholar
  21. Boshmaf, Y., Muslukhov, I., Beznosov, K., & Ripeanu, M. (2011). The socialbot network: When bots socialize for fame and money. Proceedings of the ACSAC, 11, 93–102.CrossRefGoogle Scholar
  22. Bostrom, N. (2003). Ethical issues in advanced artificial intelligence. NCognitive, Emotive and Ethical Aspects of Decision Making in Humans, 2, 12–17.Google Scholar
  23. Bourreau, M., Gensollen, M., Moreau, F., & Waelbroeck, P. (2013). Selling less of more? The impact of digitization on record companies. Journal of Cultural Economics, 37(3), 327–346.CrossRefGoogle Scholar
  24. Bowles, S. (1998). Endogenous preferences: The cultural consequences of markets and other economic institutions. Journal of Economic Literature, 36(1), 75–111.Google Scholar
  25. Bridle, J. (2018). New Dark Age: Technology and the end of the future. New York: Verso.Google Scholar
  26. Brito, P., & Barros, C. (2005). Learning-by-consuming and the dynamics of the demand and prices of cultural goods. Journal of Cultural Economics, 29(2), 83–106.CrossRefGoogle Scholar
  27. Brkan, M. (2017). Ai-supported decision-making under the general data protection regulation. In Proceedings of the 16th edition of the international conference on articial intelligence and law, pp. 3–8, ACM.Google Scholar
  28. Brynjolfsson, E., Hu, Y., & Smith, M. D. (2003). Consumer surplus in the digital economy: Estimating the value of increased product variety at online booksellers. Management Science, 49(11), 1580–1596.CrossRefGoogle Scholar
  29. Burchardi, K., & Harle, N. (2018). The blockchain will disrupt the music business and beyond. http://www.wired.co.uk/article/blockchain-disrupting-music-mycelia. Accessed April 12, 2018.
  30. Bureau of Labor Statistics. (2018). Occupational outlook handbook. photographers. https://www.bls.gov/ooh/media-and-communication/photographers.htm. Accessed April 12, 2018
  31. Cameron, S. (1995). On the role of critics in the culture industry. Journal of Cultural Economics, 19(4), 321–331.CrossRefGoogle Scholar
  32. Cameron, S., & Collins, A. (1997). Transaction costs and partnerships: The case of rock bands. Journal of Economic Behavior & Organization, 32(2), 171–183.CrossRefGoogle Scholar
  33. Catalini, C., & Gans, J. S. (2017). Some simple economics of the blockchain. SSRN working paper 2874598.Google Scholar
  34. Čerka, P., Grigienė, J., & Sirbikytė, G. (2017). Is it possible to grant legal personality to artificial intelligence software systems? Computer Law & Security Review, 33(5), 685–699.CrossRefGoogle Scholar
  35. Chandrashekar, A., Amat, F., Basilico, J., & Jebara, T. (2017). Artwork personalization at Netflix. https://medium.com/netflix-techblog/artwork-personalization-c589f074ad76. Accessed July 25, 2018.
  36. Chen, Y., & Png, I. (2003). Information goods pricing and copyright enforcement: Welfare analysis. Information Systems Research, 14(1), 107–123.CrossRefGoogle Scholar
  37. Cooper, M. (2013). Comments of the consumer federation of america. Copyright policy, creativity and innovation in the digital economy. https://www.ntia.doc.gov/files/ntia/consumer_federation_of_america_comments.pdf. Accessed April 12, 2018.
  38. Cowen, T. (2008). Why everything has changed: The recent revolution in cultural economics. Journal of Cultural Economics, 32(4), 261–273.CrossRefGoogle Scholar
  39. Datta, H., Knox, G., & Bronnenberg, B. (2018). Changing their tune: How consumers’ adoption of online streaming affects music consumption and discovery. Marketing Science, 37(1), 5–21.CrossRefGoogle Scholar
  40. DellaVigna, S., & Kaplan, E. (2007). The fox news effect: Media bias and voting. The Quarterly Journal of Economics, 122(3), 1187–1234.CrossRefGoogle Scholar
  41. Deming, D. J. (2017). The growing importance of social skills in the labor market. The Quarterly Journal of Economics, 132(4), 1593–1640.CrossRefGoogle Scholar
  42. Easley, R. F., Guo, H., & Krämer, J. (2018). From network neutrality to data neutrality: A techno-economic framework and research agenda. Information Systems Research, 29(2), 253–272.CrossRefGoogle Scholar
  43. Ellis-Petersen, H. (2014). Taylor Swift takes a stand over Spotify music royalties. https://www.theguardian.com/music/2014/nov/04/taylor-swift-spotify-streaming-album-sales-snub. Accessed April 12, 2018.
  44. Evrard, Y., & Krebs, A. (2017). The authenticity of the museum experience in the digital age: The case of the Louvre. Journal of Cultural Economics, 42(3), 353–363.CrossRefGoogle Scholar
  45. Frank, B., & Geppert, K. (2004). Are small recipients overlooked by sponsors? An empirical note. Journal of Cultural Economics, 28(2), 143–156.CrossRefGoogle Scholar
  46. Galasso, A., & Schankerman, M. (2015). Patents and cumulative innovation: Causal evidence from the courts. The Quarterly Journal of Economics, 130(1), 317–369.CrossRefGoogle Scholar
  47. Gambardella, A., Raasch, C., & von Hippel, E. (2017). The user innovation paradigm: Impacts on markets and welfare. Management Science, 63(5), 1450–1468.CrossRefGoogle Scholar
  48. George, L., & Peukert, C. (2016). Social networks, social communication and the demand for news. SSRN working paper 2615771.Google Scholar
  49. George, L. M. (2009). National television and the market for local products: The case of beer. The Journal of Industrial Economics, 57(1), 85–111.CrossRefGoogle Scholar
  50. George, L. M., & Peukert, C. (2014). YouTube decade: Cultural convergence in recorded music. NET institute working paper, pp. 14–11.Google Scholar
  51. Ghose, A., & Han, S. P. (2011). An empirical analysis of user content generation and usage behavior on the mobile internet. Management Science, 57(9), 1671–1691.CrossRefGoogle Scholar
  52. Godinho de Matos, M., Ferreira, P., & Smith, M. D. (2018). The effect of video-on-demand on piracy: Evidence from a household level randomized experiment. Management Science (forthcoming).Google Scholar
  53. Google Blog. (2008). Making money on YouTube with Content ID. https://googleblog.blogspot.com/2008/08/making-money-on-youtube-with-content-id.html. Accessed April 12, 2018.
  54. Gordon, B. R., Zettelmeyer, F., Bhargava, N., & Chapsky, D. (2017). A comparison of approaches to advertising measurement: Evidence from big field experiments at Facebook. SSRN working paper 3033144.Google Scholar
  55. Greenstein, S., Peitz, M., & Valletti, T. (2016). Net neutrality: A fast lane to understanding the trade-offs. Journal of Economic Perspectives, 30(2), 127–50.CrossRefGoogle Scholar
  56. Guadamuz, A. (2017). Artificial intelligence and copyright. WIPO magazine. http://www.wipo.int/wipo_magazine/en/2017/05/article_0003.html. Accessed Apirl 12, 2018.
  57. Guadamuz, A. (2018). Can the monkey selfie case teach us anything about copyright law? http://www.wipo.int/wipo_magazine/en/2018/01/article_0007.html. Accessed July 25, 2018.
  58. Handke, C., Balazs, B., & Vallbé, J.-J. (2016). Going means trouble and staying makes it double: The value of licensing recorded music online. Journal of Cultural Economics, 40(3), 227–259.CrossRefGoogle Scholar
  59. Holbrook, M. B., & Addis, M. (2008). Art versus commerce in the movie industry: A two-path model of motion-picture success. Journal of Cultural Economics, 32(2), 87–107.CrossRefGoogle Scholar
  60. Hosanagar, K., Fleder, D., Lee, D., & Buja, A. (2014). Will the global village fracture into tribes? Recommender systems and their effects on consumer fragmentation. Management Science, 60(4), 805–823.CrossRefGoogle Scholar
  61. Kaiser, U., & Song, M. (2009). Do media consumers really dislike advertising? An empirical assessment of the role of advertising in print media markets. International Journal of Industrial Organization, 27(2), 292–301.CrossRefGoogle Scholar
  62. Kissmetrics. (2013). How Netflix uses analytics to select movies, create content, and make multimillion dollar decisions. https://blog.kissmetrics.com/how-netflix-uses-analytics/. Accessed April 12, 2018.
  63. Knopper, S. (2017). How spotify playlists create hits. https://www.rollingstone.com/music/news/inside-spotifys-playlists-curators-and-fake-artists-w497702. Accessed: April 12, 2018.
  64. Kretschmer, T., & Peukert, C. (2018). Video killed the radio star? Online music videos and recorded music sales. SSRN working paper 2425386.Google Scholar
  65. Lerner, J., & Tirole, J. (2002). Some simple economics of open source. The Journal of Industrial Economics, 50(2), 197–234.CrossRefGoogle Scholar
  66. Lewis, R. A., & Rao, J. M. (2015). The unfavorable economics of measuring the returns to advertising. The Quarterly Journal of Economics, 130(4), 1941–1973.CrossRefGoogle Scholar
  67. Liu, J.-H., Zhou, T., Zhang, Z.-K., Yang, Z., Liu, C., & Li, W.-M. (2014). Promoting cold-start items in recommender systems. PLoS ONE, 9(12), e113457.CrossRefGoogle Scholar
  68. Marshall, A. (2018). Is this the world’s first good robot album? http://www.bbc.com/culture/story/20180112-is-this-the-worlds-first-good-robot-album. Accessed April 12, 2018.
  69. Masnick, M. (2012). How ASCAP takes money from successful indie artists and gives it to Giant rock stars. https://www.techdirt.com/articles/20120323/18055718229/how-ascap-takes-money-successful-indie-artists-gives-it-to-giant-rock-stars.shtml. Accessed April 12, 2018.
  70. Nguyen, G. D., Dejean, S., & Moreau, F. (2014). On the complementarity between online and offline music consumption: The case of free streaming. Journal of Cultural Economics, 38(4), 315–330.CrossRefGoogle Scholar
  71. O’Hagan, J., & Harvey, D. (2000). Why do companies sponsor arts events? Some evidence and a proposed classification. Journal of Cultural Economics, 24(3), 205–224.CrossRefGoogle Scholar
  72. Ordanini, A. (2006). Selection models in the music industry: How a prior independent experience may affect chart success. Journal of Cultural Economics, 30(3), 183–200.CrossRefGoogle Scholar
  73. Orme, T. (2014). The short- and long-term effectiveness of anti-piracy laws and enforcement actions. Journal of Cultural Economics, 38(4), 351–368.CrossRefGoogle Scholar
  74. Peukert, C., Claussen, J., & Kretschmer, T. (2017). Piracy and box office movie revenues: Evidence from megaupload. International Journal of Industrial Organization, 52, 188–215.CrossRefGoogle Scholar
  75. Peukert, C., & Reimers, I. (2018). Digital disintermediation and efficiency in the market for ideas. CESifo working paper 6880.Google Scholar
  76. Phillips, R. J., & Strachan, I. C. (2016). Breaking up is hard to do: The resilience of the rock group as an organizational form for creating music. Journal of Cultural Economics, 40(1), 29–74.CrossRefGoogle Scholar
  77. Pitt, I. L. (2010). Superstar effects on royalty income in a performing rights organization. Journal of Cultural Economics, 34(3), 219–236.CrossRefGoogle Scholar
  78. Poort, J., & Weda, J. (2015). Elvis is returning to the building: Understanding a decline in unauthorized file sharing. Journal of Media Economics, 28(2), 63–83.CrossRefGoogle Scholar
  79. Reimers, I. (2016). Can private copyright protection be effective? Evidence from book publishing. The Journal of Law and Economics, 59(2), 411–440.CrossRefGoogle Scholar
  80. Sawers, P. (2016). YouTube strikes landmark music licensing deal in Germany after more than 7 years of blocked videos. https://venturebeat.com/2016/11/01/youtube-gema-germany-google-deal/. Accessed July 25, 2018.
  81. Scholz, L. H. (2017). Algorithmic contracts. Stanford Technology Review, 20, 128–169.Google Scholar
  82. Shiller, B., & Waldfogel, J. (2013). The challenge of revenue sharing with bundled pricing: An application to music. Economic Inquiry, 51(2), 1155–1165.CrossRefGoogle Scholar
  83. Shiller, B., Waldfogel, J., & Ryan, J. (2018). The effect of ad blocking on website traffic and quality. The RAND Journal of Economics, 49(1), 43–63.CrossRefGoogle Scholar
  84. Spotify. (2018). Who are my monthly listeners? https://artists.spotify.com/faq/stats. Accessed April 12, 2018.
  85. Strobl, E. A., & Tucker, C. (2000). The dynamics of chart success in the U.K. pre-recorded popular music industry. Journal of Cultural Economics, 24(2), 113–134.CrossRefGoogle Scholar
  86. Sun, M., & Zhu, F. (2013). Ad revenue and content commercialization: Evidence from blogs. Management Science, 59(10), 2314–2331.CrossRefGoogle Scholar
  87. Susarla, A., Oh, J.-H., & Tan, Y. (2012). Social networks and the diffusion of user-generated content: Evidence from YouTube. Information Systems Research, 23(1), 23–41.CrossRefGoogle Scholar
  88. Sweney, M. (2017). Music industry goes to war with YouTube. https://www.theguardian.com/business/2017/apr/15/music-industry-youtube-video-streaming-royalties. Accessed July 25, 2018.
  89. Teubner, G. (2006). Rights of non-humans? Electronic agents and animals as new actors in politics and law. Journal of Law and Society, 33(4), 497–521.CrossRefGoogle Scholar
  90. Thomes, T. P. (2013). An economic analysis of online streaming music services. Information Economics and Policy, 25(2), 81–91.CrossRefGoogle Scholar
  91. Towse, R. (2017). Economics of music publishing: Copyright and the market. Journal of Cultural Economics, 41(4), 403–420.CrossRefGoogle Scholar
  92. Vincent, J. (2018). Watch Jordan Peele use AI to make Barack Obama deliver a PSA about fake news. https://www.theverge.com/tldr/2018/4/17/17247334/ai-fake-news-video-barack-obama-jordan-peele-buzzfeed. Accessed July 25, 2018.
  93. Waldfogel, J. (2012). Copyright protection, technological change, and the quality of new products: Evidence from recorded music since Napster. Journal of Law and Economics, 55(4), 715–740.CrossRefGoogle Scholar
  94. Waldfogel, J. (2017). How digitization has created a golden age of music, movies, books and television. Journal of Economic Perspectives, 31(3), 195–214.CrossRefGoogle Scholar
  95. Waters, R., Gilmour, D., & Mason, N. (2013). Pink Floyd: Pandora’s Internet radio royalty ripoff. https://www.usatoday.com/story/opinion/2013/06/23/pink-floyd-royalties-pandora-column/2447445/. Accessed April 12, 2018.
  96. Wen, W., Forman, C., & Graham, S. J. (2013). The impact of intellectual property rights enforcement on open source software project success. Information Systems Research, 24(4), 1131–1146.CrossRefGoogle Scholar
  97. Williams, H. L. (2013). Intellectual property rights and innovation: Evidence from the human genome. Journal of Political Economy, 121(1), 1–27.CrossRefGoogle Scholar
  98. Wlömert, N., & Papies, D. (2016). On-demand streaming services and music industry revenues: Insights from Spotify’s market entry. International Journal of Research in Marketing, 33, 314–327.CrossRefGoogle Scholar
  99. Zeng, X., & Wei, L. (2013). Social ties and user content generation: Evidence from Flickr. Information Systems Research, 24(1), 71–87.CrossRefGoogle Scholar
  100. Zhang, X. M., & Zhu, F. (2011). Group size and incentives to contribute: A natural experiment at chinese Wikipedia. American Economic Review, 101(4), 1601–15.CrossRefGoogle Scholar
  101. Zhou, R., Khemmarat, S., Gao, L., Wan, J., & Zhang, J. (2016). How YouTube videos are discovered and its impact on video views. Multimedia Tools and Applications, 75(10), 6035–6058.CrossRefGoogle Scholar

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© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.UCP - Católica Lisbon School of Business and EconomicsLisbonPortugal

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