Analysis of Collaborative Patterns in Innovative Networks

This paper focuses on territorial innovative networks, where a variety of actors (firms, institutions and research centers) are involved in research activities, and aims to set up a strategy for the analysis of such networks. The strategy is twofold and relies, on the one hand, on the secondary data available from administrative databases and, on the other, on survey data related to the organizations involved in innovative networks. In order to describe the peculiar structures of innovative networks, the proposed strategy adopts the techniques suggested in the framework of Social Network Analysis. In particular, the main goal of the analysis is to highlight the network characteristics (interactions between industry, university and local government) that can influence network efficiency in terms of knowledge exchange and diffusion of innovation. Our strategy will be discussed in the framework of an Italian technological district, i.e., a type of innovative network.

[1]  Michael L. Katz,et al.  An Analysis of Cooperative Research and Development , 1986 .

[2]  David J. Teece,et al.  The Market for Know-How and the Efficient International Transfer of Technology , 1981 .

[3]  Ales Ziberna,et al.  Generalized blockmodeling of valued networks , 2013, Soc. Networks.

[4]  R. Hanneman.  Introduction to Social Network Methods , 2001 .

[5]  Endogenous formation of research coalitions with spillovers , 1998 .

[6]  Stephen F Knack.  Democracy, Governance, and Growth , 2003 .

[7]  Stephen F. Knack,et al.  Does Social Capital Have an Economic Payoff? A Cross-Country Investigation , 1997 .

[8]  Stanley Wasserman,et al.  Social Network Analysis: Methods and Applications , 1994 .

[9]  L. Leydesdorff,et al.  The dynamics of innovation: from National Systems and , 2000 .

[10]  Philippe Aghion,et al.  Academic Freedom, Private-Sector Focus, and the Process of Innovation , 2005 .

[11]  Uwe Cantner,et al.  The Network of Innovators in Jena: An Application of Social Network Analysis , 2006 .

[12]  S. Goyal,et al.  R&D Networks , 2000 .

[13]  Nicola Lacetera,et al.  Di¤erent Missions and Commitment Power in R&d Organization: Theory and Evidence on Industry-university Alliances , 2022 .

[14]  R. Putnam.  Bowling Alone: America's Declining Social Capital , 1995, The City Reader.

[15]  H. White,et al.  “Structural Equivalence of Individuals in Social Networks” , 2022, The SAGE Encyclopedia of Research Design.

[16]  M. Feldman,et al.  R&D spillovers and the ge-ography of innovation and production , 1996 .

[17]  E. Muller,et al.  Research Joint Ventures and R&D Cartels , 1992 .

[18]  Massimo Riccaboni,et al.  Technological change and network dynamics: Lessons from the pharmaceutical industry , 2001 .

[19]  S. Breschi,et al.  Knowledge Spillovers And Local Innovation Systems: A Critical Survey , 2001 .

[20]  Meine Pieter van Dijk,et al.  Clusters Facing Competition: The Importance of External Linkages , 2005 .

[21]  Peter H. A. Sneath,et al.  Numerical Taxonomy: The Principles and Practice of Numerical Classification , 1973 .