Abstract
In this introduction, we outline the theoretical background for the most important concepts of the Simulating Knowledge Dynamics in Innovation Networks (SKIN) model. We describe the basic model, which we understand more as a theoretical framework than as a piece of code and preview the following chapters, which apply the SKIN model to diverse industrial sectors and develop related network models to generate insights about the dynamics of innovation networks.
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Notes
- 1.
The analogy is not exact, for the kene units can represent items of tacit knowledge (which can therefore not be made explicit as IPC codes) and can also represent non-technical knowledge, such as business strategies, marketing techniques and management competences, none of which are patentable.
References
Ackermann R (1970) The philosophy of science. Pegasus, New York
Argyris C, Schoen DA (1978) Organisational learning: a theory of action perspective. Addison-Wesley, Reading (re-published, 1996)
Bolton GE, Katoka E, Ockenfels A (2005) Cooperation among strangers with limited information about reputation. J Public Econ 89:1457–1468
Bourdieu P (2005) The social structures of the economy. Polity Press, Cambridge
Cantner U, Pyka A (1998) Absorbing technological spillovers. Simulations in an evolutionary framework. Ind Corp Change 7(2):369–397
Cohen WM, Levinthal D (1989) Innovation and learning: the two faces of R&D. Econ J 99:569–596
de Geus A (1997) The living company. Brealy, London
Dewey J (1938) Experience and education. Collier, New York
Duncan RB (1974) Modifications in decision structure in adapting to the environment: some implications for organizational learning. Decis Sci 5:705–725
Fagerberg J, Mowery D, Nelson RR (eds) (2006) The Oxford handbook of innovation. Oxford University Press, Oxford
Gilbert GN (1997) A simulation of the structure of academic science. Sociol Res Online 2(2):3, http://www.socresonline.org.uk/2/2/3.html
Gilbert N, Ahrweiler P, Pyka A (2007) Learning in innovation networks: some simulation experiments. Phys A 378(1):100–109
Hedberg B (1981) How organizations learn and unlearn. In: Nystrom PC, Starbuck WH (eds) Handbook of organizational design. Oxford University Press, Oxford
Knight FH (1921) Risk, uncertainty and profit. Duncan, Chicago
Michael DM (1973) On learning to plan and planning to learn. Jossey-Bass, Hoboken
Michelet R (1992) Forming successful strategic marketing alliances in Europe. J Eur Bus 4:11–15
Pavitt K (1987) The objectives of technology policy. Sci Public Policy 14:182–188
Powell WW, White DR, Koput KW, Owen-Smith J (2005) Network dynamics and field evolution: the growth of inter-organizational collaboration in the life sciences. Am J Soc 110:1132–1205
Schmoch U, Laville F, Patel P, Frietsch P (2003) Linking technological areas to industrial sectors. Final report to the European commission. DG Research, Karlsruhe, Germany
Schumpeter JA (1911) Theorie der wirtschaftlichen Entwicklung, 8. Auflage, 1993. Duncker & Humblot, Berlin
Teece D (1987) Capturing value from a technological innovation. In: Guile BR, Brooks H (eds) Technology and global industry. National Academies Press, Washington, DC, pp 65–95
Toulmin S (1967) The philosophy of science: an introduction. Hutchinson, London
Winter SG (1984) Schumpeterian competition in alternative technological regimes. J Econ Behav Organ 5:237–261
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Ahrweiler, P., Pyka, A., Gilbert, N. (2014). Simulating Knowledge Dynamics in Innovation Networks: An Introduction. In: Gilbert, N., Ahrweiler, P., Pyka, A. (eds) Simulating Knowledge Dynamics in Innovation Networks. Understanding Complex Systems. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-43508-3_1
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