Zusammenfassung
Aus der Digitalisierung und Internetnutzung ergeben sich nicht nur weitreichende Veränderungen in der Musikwirtschaft. Auch für die Musikwirtschaftsforschung entstehen neue Möglichkeiten und Herausforderungen. Dieses Kapitel gibt einen aktuellen Überblick über Themen, Datenquellen und Methoden der Musikwirtschaftsforschung in diesem Zusammenhang, insbesondere aus sozialwissenschaftlicher Sicht. Das Kapitel zeigt auf, dass die akademische Literatur zur Musikwirtschaftsforschung in den letzten Jahren schnell gewachsen ist und heute auf vielfältigere Daten zurückgreift als in den vorherigen Jahrzehnten. Wichtige Themen sind: (1) der Urheberrechtsschutz und seine Alternativen, (2) die Folgen des digitalen Einzelhandels und der Rolle von Internetplattformen wie YouTube oder Spotify, (3) die Verfügbarkeit und Nutzung von digitalen Daten durch AkteurInnen in der Musikwirtschaft, sowie (4) die aktive Rolle von AmateurInnen und EndnutzerInnen in der Wertschöpfung durch sogenannte nutzergenerierte Inhalte oder nutzergetriebene Innovation in der Bewertung und Verbreitung von Musik.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Literatur
Adermon, A., & Liang, C. Y. (2014). Piracy and music sales: The effects of an anti-piracy law. Journal of Economic Behavior und Organization 105 (September 2014), 90-106.
Aguiar, L., & Martens, B. (2016). Digital music consumption on the internet: evidence from clickstream data. Information Economics and Policy 34 (März 2016), 27-43.
Anand, N., & Peterson, R. A. (2000). When market information constitutes fields: Sensemaking of markets in the commercial music industry. Organization Science 11(3), 270-284.
Anderson, C. (2004). The Long Tail. Wired Magazine 12(10). Verfügbar unter http://www.wired.com/wired/archive/12.10/tail.html [16. Mai.2017].
Archambault, É., Campbell, D., Gingras, Y., & Larivière, V. (2009). Comparing bibliometric statistics obtained from the Web of Science and Scopus. Journal of the Association for Information Science and Technology 60(7), 1320-1326.
Banks, J., & Deuze, M. (2009). Co-creative labour. International Journal of Cultural Studies 12(5), 419-431.
Blanc, A., & Huault, I. (2014). Against the digital revolution? Institutional maintenance and artefacts within the French recorded music industry. Technological Forecasting and Social Change 83 (March 2014), 10-23.
Brynjolfsson, E., & Smith, M. (2000). Frictionless commerce? A comparison of Internet and conventional retailers. Management Science 46(4), 563-585.
Brynjolfsson, E., Hu, Y., & Simester, D. (2011). Goodbye Pareto principle, hello long tail: The effect of search costs on the concentration of product sales. Management Science 57(8), 1373-1386.
Burnett, R. (1993). The popular music industry in transition. Popular Music and Society 17(1), 87-114.
Christiansen, M. C. (1995). Cycles in symbol production? A new model to explain concentration, diversity and innovation in the music industry. Popular Music 14(1), 55-93.
Crain, W. M., & Tollison, R. D. (2002). Consumer choice and the popular music industry: A test of the superstar theory. Empirica 29(1), 1-9.
Danaher, B., & Smith, M. D. (2014). Gone in 60 seconds: the impact of the Megaupload shutdown on movie sales. International Journal of Industrial Organization 33 (March 2014), 1-8.
Dewan, S., & Ramaprasad, J. (2012). Research note – Music blogging, online sampling, and the long tail. Information Systems Research 23, 1056-1067.
Dhar, V., & Chang, E. A. (2009). Does chatter matter? The impact of user-generated content on music sales. Journal of Interactive Marketing, 23(4), 300-307.
Dobusch, L., & Schüßler, E. (2014). Copyright reform and business model innovation: Regulatory propaganda at German music industry conferences. Technological Forecasting and Social Change 83 (March 2014), 24-39.
Dolata, U., (2008). Das Internet und die Transformation der Musikindustrie. Berliner Journal für Soziologie 18(3), 344-369.
Falagas, M. E., Pitsouni, E. I., Malietzis, G. A., & Pappas, G. (2008). Comparison of PubMed, Scopus, Web of Science, and Google Scholar: Strengths and weaknesses. The FASEB Journal 22(2), 338-342.
Florida, R., & Jackson, S. (2010). Sonic city: The evolving economic geography of the music industry. Journal of Planning Education and Research 29(3), 310-321.
Foster, P., Borgatti, S. P., & Jones, C. (2011). Gatekeeper search and selection strategies: Relational and network governance in a cultural market. Poetics 39(4), 247-265.
Gourvish, T., & Tennent, K. (2010). Peterson and Berger revisited: Changing market dominance in the British popular music industry, c. 1950–80. Business History 52(2), 187-206.
Hammond, R. G. (2014). Profit Leak? Pre‐Release File Sharing and the Music Industry. Southern Economic Journal 81(2), 387-408.
Handke, C. (2006). Plain Destruction or Creative Destruction? Copyright Erosion and the Evolution of the Record Industry. Review of Economic Research on Copyright Issues 3(2), 29-51.
Handke, C. (2012). A Taxonomy of Empirical Research on Copyright – How Do We Inform Policy? Review of Economic Research on Copyright Issues 9(1), 47-92.
Handke, C. (2012). Digital copying and the supply of sound recordings. Information Economics and Policy 24(1), 15-29.
Handke, C. (2015). Digitization and Competition in Copyright Industries: One Step Forward and Two Steps Back? Homo Oeconomicus 32(2), 209-236
Handke, C., & Herzog, C. (2017). Experimental methods in media policy research. In L. van Audenhove, H. von den Bulck, K. Donders, & M. Puppis (Hrsg.) Palgrave Handbook of Media Policy Research Methods (im Erscheinen). Basingstoke: Palgrave.
Handke, C., Bodó, 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.
Handke, C., Guibault, L., & Vallbé, J.-J. (2015). Is Europe Falling Behind in Data Mining? Copyright’s Impact on Data Mining in Academic Research. Verfügbar unter https://ssrn.com/abstract=2608513 [16. Mai 2017].
Huygens, M., Van Den Bosch, F. A., Volberda, H. W., & Baden-Fuller, C. (2001). Co-evolution of firm capabilities and industry competition: Investigating the music industry, 1877- 1997. Organization Studies 22(6), 971-1011.
Lee, S. S. (2004). Predicting cultural output diversity in the radio industry, 1989-2002. Poetics 32(3), 325-342.
Lena, J. C. (2006). Social context and musical content of rap music, 1979-1995. Social Forces 85(1), 479.
Lopes, P. D. (1992). Innovation and diversity in the popular music industry, 1969 to 1990. American Sociological Review 57(1), 56-71.
Mayer-Schönberger, V., & Cukier, K. (2013). Big data: A revolution that will transform how we live, work, and think. Boston: Houghton Mifflin Harcourt.
McCourt, T., & Rothenbuhler, E. (1997). SoundScan and the consolidation of control in the popular music industry. Media, Culture and Society 19(2), 201-218.
Miranda, E. R. (2013). Readings in music and artificial intelligence. New York: Routledge.
Mollick, E. (2014). The dynamics of crowdfunding: An exploratory study. Journal of Business Venturing 29(1), 1-16.
Mongeon, P., & Paul-Hus, A. (2016). The journal coverage of Web of Science and Scopus: a comparative analysis. Scientometrics 106(1), 213-228.
Peterson, R. A., & Berger, D. G. (1971). Entrepreneurship in organizations: Evidence from the popular music industry. Administrative Science Quarterly 16(1), 97-106.
Ricci, F., Rokach, L., Shapira, B., & Kantor, P. B. (2011). Recommendation systems handbook. Heidelberg: Springer.
Shadish, W. R., Cook, T. D., & Campbell, D. T. (2002). Experimental and quasi-experimental designs for generalized causal inference. Boston: Wadsworth Cengage learning.
Tschmuck, P. (2003). Kreativität und Innovation in der Musikindustrie. Innsbruck: Studien- Verlag.
Tschmuck, P. (2012). Creativity and Innovation in the Music Industry, 2. Auflage, Berlin, Heidelberg: Springer.
Van Dijck, J. (2009). Users like you? Theorizing agency in user-generated content. Media, Culture and Society 31(1), 41-58.
Von Hippel, E. (2001). Innovation by user communities: Learning from open-source software. MIT Sloan Management Review 42(4), 82.
Waldfogel, J. (2012). Copyright protection, technological change, and the quality of new products: Evidence from recorded music since Napster. The Journal of Law and Economics 55(4), 715-740.
Zhang, L. (2016). Intellectual property strategy and the long tail: Evidence from the recorded music industry. Management Science. doi:http://dx.doi.org/10.1287/mnsc.2016.2562
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer Fachmedien Wiesbaden GmbH
About this chapter
Cite this chapter
Handke, C. (2018). Musikwirtschaftsforschung und das Internet. In: Tschmuck, P., Flath, B., Lücke, M. (eds) Musikwirtschaftsforschung. Musikwirtschafts- und Musikkulturforschung. Springer VS, Wiesbaden. https://doi.org/10.1007/978-3-658-19399-7_7
Download citation
DOI: https://doi.org/10.1007/978-3-658-19399-7_7
Published:
Publisher Name: Springer VS, Wiesbaden
Print ISBN: 978-3-658-19398-0
Online ISBN: 978-3-658-19399-7
eBook Packages: Social Science and Law (German Language)