• Bernd X. WeisEmail author
Part of the Management for Professionals book series (MANAGPROF)


At the beginning there is always the idea—would not it be great if something would work as you want it to work, this way or that way? You ponder over this question, this problem you identified, you mentally circulate and rotate it in all directions, you view it from different perspectives, and you take into account additional aspects. Maybe, eventually there comes the thought, what a solution might look like—yes, it could work that way. And again, you start pondering over this idea, you mentally circulate and rotate it in all directions, you view it from different perspectives, you take into account yet more additional aspects, and you consider potential obstacles that may hinder further development. Eventually, if you are convinced that it could possibly work this way, then an invention is born.


Open Innovation Ambiguity Aversion Hindsight Bias Business Model Innovation Life Cycle Model 
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.


  1. Christensen, C. M. (2000). The innovator’s dilemma. New York: Harper Business.Google Scholar
  2. Deutsch, D. (1998). The fabric of reality: The science of parallel universes and its implications. New York: Penguin.Google Scholar
  3. Edmonds, D., Eidinow, J. (2002). Wittgenstein’s poker: The story of a ten-minute argument between two great philosophers. New York: Harper Perennial.Google Scholar
  4. Gartner Group. (2011). The Gartner research process and methodologies.
  5. Gaspari, C., Millendorfer, H. (1978). Konturen einer Wende: Strategien für die Zukunft. Wien: Styria Pichler.Google Scholar
  6. Heinhold, J., Gaede, K.-W. (1972). Ingenieur-Statistik. München: Oldenburg.Google Scholar
  7. Hilbert, M., López, P. (2011). The world’s technological capacity to store, communicate, and compute information. Science.Google Scholar
  8. IW (Institut der Deutschen Wirtschaft Köln). (2006). Das Innovationsverhalten der technikaffinen Branchen: Forschung, Patente und Innovationen. Studie im Auftrag des Vereins Deutscher Ingenieure (VDI), April 2006.Google Scholar
  9. Jungermann, H., Pfister, H.-R., Fischer, K. (2005). Die Psychologie der Entscheidung. München: Elsevier.Google Scholar
  10. Kahneman, D., Slovic, P., Tversky, A. (Ed.). (1982). Judgment under uncertainty: Heuristics and biases. New York: Cambridge University Press.Google Scholar
  11. Kotler, P., Keller, K. L. (2009). Marketing management (13th ed.). Upper Saddle River: Pearson.Google Scholar
  12. Little, A. D. (Ed.). (1991). Management der F & E Strategie. Wiesbaden: Gabler.Google Scholar
  13. MacGregor, N. (2010). A history of the world in 100 objects. London: Allen Lane.Google Scholar
  14. McEliese, R. J. (1984). The theory of information and coding. Reading: Addison-Wesley. (1997).Google Scholar
  15. Mlodinow, L. (2009). Wenn Gott würfelt oder Wie der Zufall unser Leben bestimmt. Reinbek: Rowohlt.Google Scholar
  16. OECD. (2005). Oslo-manual: Guidelines for collecting and interpreting innovation data (3rd ed.) (
  17. Peters, T. J. (1987). Thriving on chaos, handbook for a management revolution. London: Pan.Google Scholar
  18. Popper, K. R. (1934). The logic of scientific discovery. Abingdon: Routledge. (2002).Google Scholar
  19. Russell, B. (1912). The problems of philosophy. Accessed Oct 2011.
  20. Shannon, C. E. (1948). A mathematical theory of communication. Bell System Technical Journal, Short Hills, July, October 1948.Google Scholar
  21. Taleb, N. N. (2004). Fooled by randomness: The hidden role of chances in life and in the markets. London: Penguin.Google Scholar
  22. Taleb, N. N. (2010). The black swan: The impact of the highly improbable (Revised Edition). London: Penguin.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2015

Authors and Affiliations

  1. 1.WaldkirchDeutschland

Personalised recommendations