Evolution of the Industry’s Innovation Network

Muhamed Kudic

Chapter Chapter 8 in Innovation Networks in the German Laser Industry, 2015, pp 153-178 from Springer

Abstract: Abstract At the very heart of this book is the analysis of R&D cooperation and networking activities of firms in science-driven industries. As outlined before, we have used two official databases to gather data on nationally and supra-nationally funded R&D cooperation projects (cf. Sect. 4.2.3 ). These two data sources provided the basis for the construction of the German laser industry innovation network. Network analysis methods (cf. Sect. 5.2 ) provide us with a broad range of instruments to explore and analyze structural characteristics of networks (Wasserman and Faust 1994; Degenne and Forse 1999; Carrington et al. 2005; Borgatti et al. 2013). These methods can be used to analyze both network snap-shots at a particular point in time, and evolving network patterns over time. This chapter is divided into three sections. Section 8.1 gives an overview of the organizations involved in publicly funded R&D cooperation projects from various angles. Based on these findings, we explore the proportion of LSMs and PROs participating in two types of publicly funded research projects – “CORDIS” and “Foerderkatalog”. Then, we take an initial look at the large-scale topology of the German laser industry innovation network. Next we focus on the evolutionary change patterns of the German laser industry innovation network. In Sect. 8.2 we start our longitudinal exploration by analyzing a set of basic node-related and tie-related network measures over time. In Sect. 8.3 we provide an in-depth analysis of the network topology by testing for the existence of three distinct large-scale network properties. First, we analyze the overall degree distribution and check for the emergence of scale-free properties (Barabasi and Albert 1999). Then we test whether the German laser industry’s innovation network exhibits small-world properties by applying the method proposed by Watts and Strogatz (1998). Finally, we use different but complementary methodological approaches to check for the existence of a core-periphery structure (Borgatti and Everett 1999). We finish off the descriptive analysis by visualizing the evolution of the German laser industry innovation network over time.

Keywords: Network Actor; Degree Distribution; Cluster Coefficient; Random Network; Betweenness Centralization (search for similar items in EconPapers)
Date: 2015
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:eccchp:978-3-319-07935-6_8

Ordering information: This item can be ordered from
http://www.springer.com/9783319079356

DOI: 10.1007/978-3-319-07935-6_8

Access Statistics for this chapter

More chapters in Economic Complexity and Evolution from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().