Coming to town. Importance of agglomeration factors for media cluster development in the German online video industry

References

• Achtenhagen, L., & Picard, R. (2014). Challenges and success factors in media cluster development: A review of contemporary knowledge. In C. Karlsson, B. Johansson, & R. Stough (Eds.), Agglomeration, clusters and entrepreneurship (221–251). doi:10.4337/9781783472635.00017
   Google Scholar
• Andersson, T., Schwaag Serger, S., Sörvik, J., & Wise Hansson, E. (2004). The cluster policies whitebook. Malmö: International Organisation for Knowledge Economy and Enterprise Development.
   Google Scholar
• Backhaus, K., Erichson, B., Plinke, W., & Weiber, R. (2016). Multivariate Analysemethoden: Eine anwendungsorientierte Einführung (14., überarbeitete und aktualisierte Auflage). Berlin Heidelberg: Springer Gabler.
   Google Scholar
• Bayliss, D. (2007). Dublin’s digital hubris: Lessons from an attempt to develop a creative industrial cluster. European Planning Studies, 15(9), 1261–1271.
   Web of Science ®Google Scholar
• Bird, S. E. (2011). Are we all producers now? Convergence and media audience practices. Cultural Studies, 25(4–5), 502–516.
   Web of Science ®Google Scholar
• Blackburn, R., & Conway, C. (2008). Clusters in the new media industry: Relevant model or artifact?. In U. Fueglistaller, T. Volery, W. Weber, & R. de Saint-gall (Eds.), Innovation, competitiveness, growth and tradition in SMEs: Rencontres de St-Gall 2008(pp. 1–24). St. Gallen: KMU Verl. HSG.
   Google Scholar
• Boix, R., Hervás-Oliver, J. L., & De Miguel-Molina, B. (2015). Micro-geographies of creative industries clusters in Europe: From hot spots to assemblages: Micro-geographies of creative industries clusters. Papers in Regional Science, 94(4), 753–772.
   Web of Science ®Google Scholar
• Bortz, J. (2006). Statistik für Human- und Sozialwissenschaftler (6., überarbeitete Auflage). Berlin Heidelberg: Springer. Retrieved from http://www.myilibrary.com?id=62156
   Google Scholar
• Bortz, J., & Schuster, C. (2010). Statistik für Human- und Sozialwissenschaftler (7., vollständig überarbeitete und erweiterte Auflage). Berlin Heidelberg: Springer.
   Google Scholar
• Brenner, T., & Fornahl, D. (2002). Politische Möglichkeiten und Maßnahmen zur Erzeugung lokaler branchenspezifischer Cluster. Jena: Max-Planck-Institut zur Erforschung von Wirtschaftssystemen.
   Google Scholar
• Bruhn, M. (2014). Marketing: Grundlagen für Studium und Praxis (12., überarbeitete Auflage). Wiesbaden: Springer Gabler.
   Google Scholar
• Burgess, J. E., & Green, J. B. (2009). The entrepreneurial vlogger: Participatory culture beyond the professional-amateur divide. In P. Snickars, & P. Vonderau (Eds.), The YouTube reader (pp. 89–107). Stockholm: Wallflower Press.
   Google Scholar
• Campbell-Kelly, M., Danilevsky, M., Garcia-Swartz, D. D., & Pederson, S. (2010). Clustering in the creative industries: Insights from the origins of computer software. Industry & Innovation, 17(3), 309–329.
   Web of Science ®Google Scholar
• Chatterji, A., Glaeser, E., & Kerr, W. (2013). Clusters of entrepreneurship and innovation. Cambridge: National Bureau of Economic Research. doi:10.3386/w19013
   Google Scholar
• Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16(3), 297–334.
   Google Scholar
• Cunningham, S., Craig, D., & Silver, J. (2016). YouTube, multichannel networks and the accelerated evolution of the new screen ecology. Convergence: the International Journal of Research into New Media Technologies, 22(4), 376–391.
   Web of Science ®Google Scholar
• DataLion (ed.). (2018, August 2). DataLion. Retrieved from https://datalion.com/
   Google Scholar
• Eckstein, P. P. (2016). Statistik für Wirtschaftswissenschaftler: Eine realdatenbasierte Einführung mit SPSS (5., aktualisierte und erweiterte Auflage). Wiesbaden: Springer Gabler.
   Google Scholar
• Eisingerich, A. B., Bell, S. J., & Tracey, P. (2010). How can clusters sustain performance? The role of network strength, network openness, and environmental uncertainty. Research Policy, 39(2), 239–253.
   Web of Science ®Google Scholar
• Enright, M. J. (2003). Regional Clusters: What we know and what we should know. In J. Bröcker, D. Dohse, & R. Soltwedel (Eds.), Innovation clusters and interregional competition (pp. 99–129). Berlin Heidelberg: Springer. doi:10.1007/978-3-540-24760-9_6
   Google Scholar
• Fischer, M. (2017). Twitch extensions: Mehr Möglichkeiten zum Geldverdienen für Live-Streamer. Retrieved from Heise online website: https://www.heise.de/newsticker/meldung/Twitch-Extensions-Mehr-Moeglichkeiten-zum-Geldverdienen-fuer-Live-Streamer-3819795.html
   Google Scholar
• Florida, R. (2002). The rise of the creative class. And how it’s transforming work, leisure and everyday life. New York: Basic Books.
   Google Scholar
• Freedman, D. (2013). The politics of media policy. Retrieved from http://nbn-resolving.de/urn:nbn:de:101:1-2014122014127
   Google Scholar
• Fuchs, G., & Koch, A. (2005). Biotechnology and multimedia: Cluster development in new industries. In C. Karlsson, B. Johansson, & R. Stough (Eds.), Industrial clusters and inter-firm networks (pp. 231–259). Cheltenham: Edward Elgar Publishing.
   Google Scholar
• Goldhammer,K. (2017). Web-TV-monitor 2017. Berlin: Goldmedia GmbH Strategy Consulting.
   Google Scholar
• Gordon, I. R., & McCann, P. (2000). Industrial clusters: Complexes, agglomeration and/or social networks? Urban Studies, 37(3), 513–532.
   Web of Science ®Google Scholar
• Grabow, B., Henckel, D., & Hollbach-Grömig, B. (1995). Weiche Standortfaktoren. Stuttgart: W. Kohlhammer: Deutscher Gemeindeverlag.
   Google Scholar
• Guttman, L. (1954). Some necessary conditions for common-factor analysis. Psychometrika, 19(2), 149–161.
   Google Scholar
• Hammann, P., & Erichson, B. (2000). Marktforschung (4., überarb. und erw. Aufl). Stuttgart: Lucius & Lucius.
   Google Scholar
• Jarrett, K. (2010). YouTube: Online video and participatory culture. Continuum, 24(2), 327–330.
   Web of Science ®Google Scholar
• Kaiser, H. F. (1960). The application of electronic computers to factor analysis. Educational and Psychological Measurement, 20(1), 141–151.
   Web of Science ®Google Scholar
• Kaiser, H. F. (1974). An index of factorial simplicity. Psychometrika, 39(1), 31–36.
   Web of Science ®Google Scholar
• Karlsson, C., & Picard, R. G. (2011a). Media clusters and media cluster policies (No. 246) . Jonköping: Centre of Excellence for Science and Innovation Studies (CESIS).
   Google Scholar
• Karlsson, C., & Picard, R. G. (2011b). Media clusters: Spatial agglomeration and content capabilities. Cheltenham: Edward Elgar.
   Google Scholar
• Kim, J. (2012). The institutionalization of YouTube: From user-generated content to professionally generated content. Media, Culture & Society, 34(1), 53–67.
   Web of Science ®Google Scholar
• Klandt, H., & Heidenreich, S. (2017). Empirische Forschungsmethoden in der Betriebswirtschaftslehre: Von der Forschungsfrage zum Untersuchungsdesign, eine Einführung. Berlin/Boston: De Gruyter Oldenbourg.
   Google Scholar
• Kline, R. B. (2016). Principles and practice of structural equation modeling (4th ed.). New York: The Guilford Press.
   Google Scholar
• Komorowski, M. (2016). The seven parameters of media clusters: An integrated approach for local cluster analysis. International Journal of Media & Cultural Politics, 12(2), 171–191.
   Web of Science ®Google Scholar
• Komorowski, M. (2017). A novel typology of media clusters. European Planning Studies, 25(8), 1334–1356.
   Web of Science ®Google Scholar
• Komorowski, M., & Fodor, M. M. (2018). Report on media organization’s cluster logic and value generation –The drivers of media clusters. Brussels: Innoviris.
   Google Scholar
• Krätke, S., & Taylor, P. J. (2004). A world geography of global media cities. European Planning Studies, 12(4), 459–477.
   Web of Science ®Google Scholar
• Lazzeretti, L., Boix, R., & Capone, F. (2009). Do creative industries cluster? Mapping creative local production systems in Italy and Spain. Industry & Innovation, 15(5), 549–567.
   Web of Science ®Google Scholar
• Lazzeretti, L., Boix, R., & Capone, F. (2009). Why do creative industries cluster? an analysis of the determinants of clustering of creative industries. IERMB Working Papers in Economics (No. 902). Barcelona: Institute of Regional and Metropolitan Studies.
   Google Scholar
• Lazzeretti, L., Capone, F., & Cinti, T. (2011). Open innovation in city of art: The case of laser technologies for conservation in Florence. City, Culture and Society, 2(3), 159–168.
   Google Scholar
• Lazzeretti, L., & Cooke, P. (Eds.). (2008). Creative cities, cultural clusters and local economic development. Cheltenham, UK: Edward Elgar.
   Google Scholar
• Lobato, R., Thomas, J., & Hunter, D. (2011). Histories of user-generated content: Between formal and informal media economies. SSRN Electronic Journal. doi:10.2139/ssrn.1749803
   Google Scholar
• Malmberg, A., & Maskell, P. (2002). The elusive concept of localization economies: Towards a knowledge-based theory of spatial clustering. Environment and Planning A, 34(3), 429–449.
   Web of Science ®Google Scholar
• Markusen, A. (1996). Sticky places in slippery space: A typology of industrial districts. Economic Geography, 72(3), 293–313.
   Web of Science ®Google Scholar
• Marshall, A. (1890). Principles of Economics: An introductory volume (8th ed.). London: Macmillan and Co.
   Google Scholar
• Martin, R., & Sunley, P. (2003). Deconstructing clusters: Chaotic concept or policy panacea? Journal of Economic Geography, 3(1), 5–35.
   Web of Science ®Google Scholar
• McCann, B. T., & Folta, T. B. (2008). Location matters: Where we have been and where we might go in agglomeration research. Journal of Management, 34(3), 532–565.
   Web of Science ®Google Scholar
• Moosbrugger, H., & Kelava, A. (Eds.). (2012). Testtheorie und Fragebogenkonstruktion: Mit 66 abbildungen und 41 tabellen (2., aktualisierte und überarbeitete Auflage). Berlin Heidelberg: Springer.
   Google Scholar
• Moßig, I. (2004). Standortstruktur und Produktionssystem in den Medienclustern München und Köln. Gießen: Justus-Liebig-Universität.
   Google Scholar
• Pe’er, A., & Keil, T. (2013). Are all startups affected similarly by clusters? Agglomeration, competition, firm heterogeneity, and survival. Journal of Business Venturing, 28(3), 354–372.
   Web of Science ®Google Scholar
• Pett, M. A., Lackey, N. R., & Sullivan, J. J. (2003). Making sense of factor analysis: The use of factor analysis for instrument development in health care research. Thousand Oaks, Calif: Sage Pub.
   Google Scholar
• Picard, R. G. (2008). Media clusters: Local agglomeration in an industry developing networked virtual clusters. Jönköping: Jönköping International Business School.
   Google Scholar
• Porter, M. E. (1990). The competitive advantage of nations. New York: Free Press.
   Google Scholar
• Porter, M. E. (Ed.). (1999). Wettbewerb und strategie. München: Econ.
   Google Scholar
• Raschke, F. W. (2009). Regionale Wettbewerbsvorteile: Identifikation, analyse und management von clustern am Beispiel der Logistik im Rhein-Main-Gebiet (1. Aufl). Wiesbaden: Gabler.
   Google Scholar
• Rasmussen, J., Schmitz, H., & Dijk, M. P. (1992). Introduction: Exploring a new approach to small-scale industry. IDS Bulletin, 23(3), 2–6.
   Web of Science ®Google Scholar
• Reemer, G. (2018, August 2). The YouTube channel crawler. Retrieved https://www.channelcrawler.com/
   Google Scholar
• Rinsdorf, L., & Kühnle, B. A. (2015). Erfolgsfaktoren von Medienquartieren in Europa. In S. Pagel (Eds.), Reihe Medienökonomie: Vol. 8. Schnittstellen (in) der Medienökonomie (pp. 73–87). Baden-Baden: Nomos Verlagsgesellschaft.
   Google Scholar
• Schramm-Klein, H. (2005). Wettbewerb und Kooperationen in regionalen Branchenclustern. In J. Zentes, B. Swoboda, & D. Morschett (Eds.), Kooperationen, Allianzen und Netzwerke: Grundlagen - Ansätze - Perspektiven (2. Auflage) (pp. 531–556). Wiesbaden: Gabler Verlag.
   Google Scholar
• Seufert, W. (2009). Medien- und IT-Wirtschaft in Mecklenburg-Vorpommern: Entwicklung, Stand und Perspektiven. Mecklenburg-Vorpommern: Landesrundfunkzentrale.
   Google Scholar
• Seufert, W. (2016). Das Potenzial amtlicher Wirtschaftsdaten zur Analyse von Medienbranchen. In B. von Rimscha, S. Studer, & M. Puppis (Eds.), Reihe Medienökonomie: Vol. Band 9. Methodische Zugänge zur Erforschung von Medienstrukturen, Medienorganisationen und Medienstrategien (pp. 247–271). Baden-Baden: Nomos Verlagsgesellschaft.
   Google Scholar
• Simonsen, T. M. (2011). Categorising YouTube. MedieKultur: Journal of Media and Communication Research, 27(51), 27–93.
   Google Scholar
• Smith, K. (2018, December 4). 39 fascinating and incredible YouTube statistics. Retrieved from https://www.brandwatch.com/blog/39-youtube-stats/
   Google Scholar
• Social Blade (ed.). (2018, August 2). YouTube, Twitch, Twitter, & Instagram Statistics: SocialBlade.com. Retrieved from https://socialblade.com/
   Google Scholar
• Stoeckl, R., Rohrmeier, P., & Hess, T. (2007, June 4). Motivations to produce user generated content: Differences between webloggers and videobloggers. Presented at the 20th Bled eConference ‘eMergence: Merging and Emerging Technologies, Slovenia: Processes, and Institutions’.
   Google Scholar
• Storyclash (ed.). (2018, August 2). Storyclash: Real time social trends. Retrieved from https://www.storyclash.com
   Google Scholar
• Tschang, F. T., & Vang, J. (2008). Explaining the spatial organization of creative industries: The case of the U.S. Videogames Industry.Denmark: DRUID 25th Celebration Conference 2008
   Google Scholar
• Virta, S., & Lowe, G. F. (2017). Integrating media clusters and value networks: Insights for management theory and research from a case study of Mediapolis in Finland. Journal of Management & Organization, 23(1), 2–21.
   Web of Science ®Google Scholar
• Vonderau, P. (2016). The video bubble: Multichannel networks and the transformation of YouTube. Convergence: the International Journal of Research into New Media Technologies, 22(4), 361–375.
   Web of Science ®Google Scholar
• Westlund, O. (2011). Cross-media news work: Sensemaking of the mobile media (r)evolution. Gothenburg: JMG.
   Google Scholar
• Zabel, C., & Rott, A. (2009). Marktentwicklung als strategische Option für TV-Produktionsunternehmen: Perspektiven, Probleme und empirische Evidenz. In J. Krone (Ed.), Fernsehen im Wandel (pp. 93–107). doi:10.5771/9783845217901-93
   Google Scholar
• Zabel, C., Seemann, C., & Pagel, S. (2017). YouTube Creators in Deutschland: Motive, Produktionsroutinen und Finanzierung von deutschen Online-Video-Produzenten. In W. Seufert (Eds.), Reihe Medienökonomie: Vol. Band 11. Media Economics revisited: (Wie) verändert das Internet die Ökonomie der Medien? (1. Auflage) (pp. 125–145). Baden-Baden: Nomos.
   Google Scholar