nach oben

Erschienen in:

2014 | OriginalPaper | Buchkapitel

4. Micro Strategies and Macro Patterns in the Evolution of Innovation Networks: An Agent-Based Simulation Approach

verfasst von : Matthias Müller, Tobias Buchmann, Muhamed Kudic

Erschienen in: Simulating Knowledge Dynamics in Innovation Networks

Verlag: Springer Berlin Heidelberg

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config

KI-gestützte Suche

Aus

Abstract

We focus on the evolution of interfirm innovation networks which are composed of and driven by heterogeneous actors that follow a number of well-defined cooperation partner selection strategies. For this purpose, we simulate micro level firm behaviour which shapes the macro level network patterns. In order to analyse the micro-macro link we build an agent-based simulation model (ABSM) which allows us to test causal relationships between firm strategies and the emerging network structures. With this model we analyse the structural consequences of homophily, reputation and cohesion mechanisms in a situation of information scarcity. We start with a simple model which is in a next step extended by adding a market mechanism which links the knowledge base of a firm with the reward a firm receives and with the incentives to cooperate. We show that (a) a transitive closure mechanism combined with a tendency for preferential attachment produces networks that show both, small world characteristics as well as a power law degree distribution; (b) diversity in the selection of cooperation partners is an important determinant of innovative performance if we consider an evolving network.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 340 Zeitschriften

aus folgenden Fachgebieten:

Bauwesen + Immobilien
Business IT + Informatik
Finance + Banking
Management + Führung
Marketing + Vertrieb
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Vorheriges Kapitel The Evaluation of Value Chain Marketing Strategies: An Agent-Based Approach

Nächstes Kapitel Simulating the Effects of Public Funding on Research in Life Sciences: Direct Research Funds Versus Tax Incentives

Small world networks are characterized by a small average shortest path length and a relatively high level of clustering (Watts and Strogatz 1998).

According to this scheme, the first character specifies the number of mutual dyads, the second character gives the number of asymmetric dyads, the third character displays the number of null-dyads, and the last character gives a further characterization of how the ties are directed to each other within these specific isomorphism classes by using the characters “D” (for down), “U” (for up), “T” (for transitive) and “C” (for cyclic). For further details, see Wasserman and Faust (1994).

Aghion P, Griffith R (2005) Competition and growth: reconciling theory and evidence, Zeuthen lectures. MIT Press, Cambridge, MA

Ahrweiler P, Pyka A, Gilbert N (2004) Simulating knowledge dynamics in innovation networks (SKIN). In: Leombruni R, Richiardi M (eds) The agent-based computational approach. World Scientific Press, Singapore

Ahuja G (2000) The duality of collaboration: inducements and opportunities in the formation of interfirm linkages. Strat Manag J 21(3):317–343CrossRef

Arthur WB (1999) Complexity and the economy. Science 284(5411):107–109CrossRef

Barabasi AL, Albert R (1999) Emergence of scaling in random networks. Science 286:509–512CrossRef

Barabasi AL, Albert R (2002) Statistical mechanics of complex networks. Rev Mod Phys 74(1):47–97CrossRef

Bloch H, Finch JH (2009) Firms and industries in evolutionary economics: lessons from Marshall, Young, Steindl and Penrose. J Evol Econ 20(1):139–162CrossRef

Cowan R, Jonard N (2004) Network structure and the diffusion of knowledge. J Econ Dynam Contr 28(8):1557–1575CrossRef

Davis JA (1970) Clustering and hierarchy in interpersonal relations: testing two graph theoretical models on 742 sociomatrices. Am Sociol Rev 35(5):843–851CrossRef

Dopfer K (2005) The evolutionary foundations of economics. Cambridge University Press, CambridgeCrossRef

Dosi G (1988) Sources, procedures, and microeconomic effects of innovation. J Econ Lit 26(3):1120–1171

Gay B, Dousset B (2005) Innovation and network structural dynamics: study of the alliance network of a major sector of the biotechnology industry. Res Pol 34(10):1457–1475CrossRef

Geroski P (1995) Markets for technology: knowledge, innovation and appropriability. In: Stoneman P (ed) Handbook of the economics of innovation and technological change. Blackwell, Oxford

Gerybadze A (2004) Technologie-und Innovationsmanagement: Strategie, Organisation und Implementierung. Vahlen, München

Gilbert N (1997) A simulation of the structure of academic science. Socio Res Online 2(2):3, http://www.socresonline.org.uk/socresonline/2/2/3.html

Gilbert N, Pyka A, Ahrweiler P (2001) Innovation networks – a simulation approach. J Artif Soc Soc Simulat 4(3):1–13

Gilbert N, Ahrweiler P, Pyka A (2007) Learning in innovation networks: some simulation experiments. Phys A 378(1):100–109CrossRef

Giuliani E (2010) Network dynamics in regional clusters: the perspective of an emerging economy. Papers in Evolutionary Economic Geography (PEEG) 1014

Gould RV (2002) The origins of status hierarchies: a formal theory and empirical test. Am J Sociol 107(5):1143–1178CrossRef

Granovetter M (1985) Economic action and social structure: the problem of embeddedness. Am J Sociol 91:481–510CrossRef

Gulati R (1998) Alliances and networks. Strat Manag J 19(4):293–317CrossRef

Gulati R (2007) Managing network resources: alliances, affiliations and other relational assets. Oxford University Press, Oxford

Hagedoorn J (2002) Inter-firm R&D partnerships: an overview of major trends and patterns since 1960. Res Pol 31(4):477–492CrossRef

Hanusch H, Pyka A (2007) Elgar companion to neo-Schumpeterian economics. Edward Elgar, CheltenhamCrossRef

Hodgson GM, Samuels WJ, Tool MR (1994) The Elgar companion to institutional and evolutionary economics. Edward Elgar, Aldershot

Holland JH (1996) Hidden order: how adaptation builds complexity. Basic Books, New York

Holland PW, Leinhardt S (1971) Transitivity in structural models of small groups. Comp Group Stud 2(2):107–124

Holland PW, Leinhardt S (1977) A dynamic model for social networks. J Math Sociol 1:5–20CrossRef

Kenis P, Oerlemans LAG (2008) The social network perspective: understanding the structure of cooperation. In: Cropper S, Ebers M, Huxham C, Ring PS (eds) The Oxford handbook of inter-organizational relations. Oxford University Press, Oxford

Knight FH (1921) Risk, uncertainty and profit. Houghton Mifflin, New York

Lazega E, Mounier L, Snijders T, Tubaro P (2012) Norms, status and the dynamics of advice networks: a case study. Soc Networks 34(3):323–332CrossRef

Loasby BJ (2001) Time, knowledge and evolutionary dynamics: why connections matter. J Evol Econ 11(4):393–412CrossRef

Malerba F (2002) Sectoral systems of innovation and production. Res Pol 31(2):247–264CrossRef

Malerba F, Vonortas NS (2009) Innovation networks in industry. Edward Elgar, CheltenhamCrossRef

Marshall A (1920) Principles of economics: an introductory volume. Macmillan, London

McPherson M, Smith-Lovin L, Cook JM (2001) Birds of a feather: homophily in social networks. Annu Rev Sociol 27:415–444CrossRef

Morone P, Taylor R (2004) Small world dynamics and the process of knowledge diffusion: the case of the metropolitan area of greater Santiago De Chile. J Artif Soc Soc Simulat 7(2):1–28

Nelson RR, Winter SG (1982) An evolutionary theory of economic change. Harvard University Press, Cambridge, MA

Orsenigo L, Pammolli F, Riccaboni M (2001) Technological change and network dynamics, Lessons from the pharmaceutical industry. Res Pol 30(3):485–508CrossRef

Penrose ET (1959) The theory of the growth of the firm. Oxford University Press, Oxford

Podolny JM (1994) Market uncertainty and the social character of economic exchange. Adm Sci Q 39(3):458–483CrossRef

Powell WW, Koput KW, Smith-Doerr L (1996) Interorganizational collaboration and the locus of innovation: networks of learning in biotechnology. Adm Sci Q 41(1):116–145CrossRef

Powell WW, White DR, Koput KW, Owen-Smith J (2005) Network dynamics and field evolution: the growth of interorganizational collaboration in the life sciences. Am J Sociol 110(4):1132–1205CrossRef

Price DS (1976) A general theory of bibliometric and other cumulative advantage processes. J Am Soc Inf Sci 27(5):292–306CrossRef

Pyka A (1999) Der kollektive Innovationsprozeß eine theoretische Analyse informeller Netzwerke und absorptiver Fähigkeiten. Duncker und Humblot, Berlin

Pyka A, Fagiolo G (2005) Agent-based modelling: a methodology for neo-Schumpeterian economics. In: Hanusch H, Pyka A (eds) The Elgar companion on neo-Schumpeterian economics. Edward Elgar, Cheltenham

Pyka A, Gilbert N, Ahrweiler P (2007) Simulating knowledge-generation and distribution processes in innovation collaborations and networks. Cybern Syst 38(7):667–693CrossRef

Sankar CS, Boulton WR, Davidson NW, Snyder CA, Ussery RW (1995) Building a world-class alliance: the universal card: TSYS case. Acad Manag Exec 9(2):20–29

Schilling MA, Phelps CC (2007) Interfirm collaboration networks: the impact of large-scale network structure on firm innovation. Manag Sci 53(7):1113–1126CrossRef

Schumpeter JA (1911) Theorie der wirtschaftlichen Entwicklung. Duncker und Humblot, Leipzig

Uzzi B (1997) Social structure and competition in interfirm networks: the paradox of embeddedness. Adm Sci Q 42(1):35–67CrossRef

Walker G, Kogut B, Shan W (1997) Social capital, structural holes and the formation of an industry network. Organ Sci 8(2):109–125CrossRef

Wasserman S, Faust K (1994) Social network analysis: methods and applications. Cambridge University Press, CambridgeCrossRef

Watts DJ, Strogatz SH (1998) Collective dynamics of ‘small-world’ networks. Nature 393:440–442CrossRef

Winter SG (1988) On coase, competence, and the corporation. J Law Econ Organ 4(1):163–180

Titel: Micro Strategies and Macro Patterns in the Evolution of Innovation Networks: An Agent-Based Simulation Approach
verfasst von: Matthias Müller
Tobias Buchmann
Muhamed Kudic
Verlag: Springer Berlin Heidelberg
Buch: Simulating Knowledge Dynamics in Innovation Networks
Print ISBN: 978-3-662-43507-6

Electronic ISBN: 978-3-662-43508-3

Copyright-Jahr: 2014
DOI: https://doi.org/10.1007/978-3-662-43508-3_4

Springer Professional

Abstract

Bitte loggen Sie sich ein, um Zugang zu Ihrer Lizenz zu erhalten.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Springer Professional "Technik"

Springer Professional "Wirtschaft"