Media Business Drivers and Concepts 2020: The Case of David and Goliath Revisited

  • Stina GieseckeEmail author
  • Raphael Giesecke
Part of the Media Business and Innovation book series (MEDIA)


Whereas diversified global media ‘Goliaths’ enjoy economies of scale and smaller, agile, risk-taking media ‘Davids’ flourish in niche markets, prospects for mid-sized mass media companies are bleak. We argue that such companies suffer from a conservative approach to convergence. They lack radical innovation that offers new meanings to humans, supported by radically new technology. More daring approaches to convergence and especially divergence may unlock vast amounts of underutilised business potential in media businesses. Furthermore we argue that the significant potential of business ecosystem thinking is systematically ignored. Once these challenges and opportunities are tackled, the probability for creating more promising business models will increase significantly. Aiming for a year 2020 forecast, we crowd sourced divergent views on media convergence. Our data consists of 42 individual scenarios authored by 38 media professionals and academics. Using thematic analysis, we synthesized in detail the convergence and divergence of media business drivers in nine dimensions. We suggest that three dimensions, gamification, social values and media companies’ leadership and management, are the key enablers for combining radically new meanings with radically new technology. Innovations based on these enablers may unlock completely new business opportunities. Drawing from and contributing to theories of organisational behaviour, we encourage mass media company leaders to diverge and focus on business models based on a system approach. Concluding, we show why business model development needs thorough understanding of both future divergent convergence and the business system of the company.


Business Model Organisational Development Media Company Radical Innovation Media Sector 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.



We thank the two anonymous reviewers for their constructive comments. We cordially thank all the future scenarios contributors and the Vision 2020 team, especially Man-Sze Li, Esa Sirkkunen and Kai Kuikkaniemi. This work was partially supported by the Finnish Funding Agency for Technology and Innovation TEKES as part of the Tivit Next Media programme. A preliminary version was presented at the Third NEM Summit, 2010.


  1. Anderson, C. (2009). Free: The future of a radical price. New York: Hyperion.Google Scholar
  2. Banathy, B. H. (1998). Evolution guided by design: A systems perspective. Systems Research and Behavioral Science, 15(3), 161–172.CrossRefGoogle Scholar
  3. Blackler, F. (1995). Knowledge, knowledge work and organizations: An overview and interpretation. Organization Studies, 16(6), 1021–1046.CrossRefGoogle Scholar
  4. Bontis, N. (1998). Intellectual capital: An exploratory study that develops measures and models. Management Decision, 36(2), 63–76.CrossRefGoogle Scholar
  5. Casadesus-Masanell, R., & Ricart, J. E. (2011). How to design a winning business model. Harvard Business Review, 89(1/2), 100–107.Google Scholar
  6. EIFFEL. (2009). Think tank on future internet 2009 report.
  7. Fritscher, B., & Pigneur, Y. (2010). Supporting business model modelling: A compromise between creativity and constraints. In P. Palanque, J. Vanderdonckt, & P. Wild (Eds.), England D (pp. 28–43). Springer Berlin Heidelberg: Task models and diagrams for user interface design.Google Scholar
  8. Giesecke, R., & Immonen, S. (2010). Media sector business drivers in 2020. Paper presented at the Third NEM Summit.Google Scholar
  9. Giesecke, R., Immonen, S., Sirkkunen, E., Grenman, K., Bäck, A., Helle, M., et al. (2010). Media Scenarios 2020 Version 2. Helsinki: Tivit Next Media Programme.Google Scholar
  10. Hipp, C. (1999). Knowledge-intensive business services in the new mode of knowledge production. AI & Society, 13(1), 88–106.CrossRefGoogle Scholar
  11. Itami, H., & Nishino, K. (2010). Killing two birds with one stone. Profit for now and learning for the future. Long Range Planning, 43, 364–369.CrossRefGoogle Scholar
  12. Matthyssens, P., & Vandenbempt, K. (2003). Cognition-in-context: Reorienting research in business market strategy. The Journal of Business and Industrial Marketing, 18, 595–606.CrossRefGoogle Scholar
  13. Missikoff, M., Drissi, S., Giesecke, R., Grilo, A., Li, M.-S., Mehandjiev, N., et al. (Eds.). (2010). Future internet enterprise systems (FinES) cluster. Research roadmap. Final report. Brussels: European Commission, European Communities.Google Scholar
  14. Nahapiet, J., & Ghoshal, S. (1998). Social capital, intellectual capital, and the organizational advantage. Academy of Management Review, 23(2), 242–266.Google Scholar
  15. Osterwalder, A., Pigneur, Y., & Clark, T. (2010). Business model generation : A handbook for visionaries, game changers, and challengers. Hoboken, NJ: Wiley.Google Scholar
  16. Remenyi, D., Williams, B., Money, A., & Swartz, E. (1998). Doing research in business and management: An introduction to process and method. London: Sage Publications Ltd.CrossRefGoogle Scholar
  17. Smart, J. M., Cascio, J., & Pappendorf, J. (2007). Metaverse roadmap overview. Retrieved January, 2013, from
  18. Tameling, K., & Broersma, M. (2013). De-converging the newsroom: Strategies for newsroom change and their influence on journalism practice. The International Communication Gazette, 75(1), 19–34.CrossRefGoogle Scholar
  19. Verganti, R. (2009). Design-driven innovation: Changing the rules of competition by radically innovating what things mean. Boston, MA: Harvard Business Press.Google Scholar
  20. Whitman, J. R. (2009). Measuring social values in philanthropic foundations. Non-profit Man-agement and Leadership, 19(3), 305–325.CrossRefGoogle Scholar
  21. Zheng, H., Fu, Y., & Lugmayr, A. (2012). The development of ambient TV in 2016. Proceeding of the 16th International Academic MindTrek Conference, pp. 233–236.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2016

Authors and Affiliations

  1. 1.School of ScienceAalto UniversityAaltoFinland

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