The Structure and Evolution of Inter-sectoral Technological Complementarity in R&D in Germany from 1990 to 2011
T. Broekel, Matthias Brachert
Journal of Evolutionary Economics,
No. 4,
2015
Abstract
Technological complementarity is argued to be a crucial element for effective R&D collaboration. The real structure is, however, still largely unknown. Based on the argument that organizations’ knowledge resources must fit for enabling collective learning and innovation, we use the co-occurrence of firms in collaborative R&D projects in Germany to assess inter-sectoral technological complementarity between 129 sectors. The results are mapped as complementarity space for the Germany economy. The space and its dynamics from 1990 to 2011 are analyzed by means of social network analysis. The results illustrate sectors being complements both from a dyadic and portfolio/network perspective. This latter is important, as complementarities may only become fully effective when integrated in a complete set of different knowledge resources from multiple sectors. The dynamic perspective moreover reveals the shifting demand for knowledge resources among sectors at different time periods.
Read article
R&D Cooperation with Scientific Institutions: A Difference-in-difference Approach
Gunnar Pippel, V. Seefeld
Economics of Innovation and New Technology,
No. 5,
2016
Abstract
Economists and business managers have long been interested in the impact of research and development (R&D) cooperation with scientific institutions on the innovation performance of firms. Recent research identifies a positive correlation between these two variables. This paper aims to contribute to the identification of the relationship between R&D cooperation with scientific institutions and the product and process innovation performance of firms by using a difference-in-difference approach. In doing so, we distinguish between two different types of scientific institutions: universities and governmental research institutes. For the econometric analyses, we use data from the German Community Innovation Survey. In total, data from up to 560 German service and manufacturing firms are available for the difference-in-difference analyses. The results suggest that R&D cooperation with universities and governmental research institutes has a positive effect on both product innovation and process innovation performance of firms.
Read article
Taking the First Step - What Determines German Laser Source Manufacturers' Entry into Innovation Networks?
Jutta Günther, Muhamed Kudic, Andreas Pyka
International Journal of Innovation Management,
No. 5,
2015
Abstract
Early access to technological knowledge embodied in the industry’s innovation network can provide an important competitive advantage to firms. While the literature provides much evidence on the positive effects of innovation networks on firms’ performance, not much is known about the determinants of firms’ initial entry into such networks. We analyze firms’ timing and propensity to enter the industry’s innovation network. More precisely, we seek to shed some light on the factors affecting the duration between firm founding and its first cooperation event. In doing so, we apply a unique longitudinal event history dataset based on the full population of German laser source manufacturers. Innovation network data stem from official databases providing detailed information on the organizations involved, subject of joint research and development (R&D) efforts as well as start and end times for all publically funded R&D projects between 1990 and 2010. Estimation results from a non-parametric event history model indicate that micro firms enter the network later than small-sized or large firms. An in-depth analysis of the size effects for medium-sized firms provides some unexpected findings. The choice of cooperation type makes no significant difference for the firms’ timing to enter the network. Finally, the analysis of geographical determinants shows that cluster membership can, but do not necessarily, affect a firm’s timing to cooperate.
Read article
Netzwerke zwischen Hochschulen und Wirtschaft: Ein Mehrebenenansatz
Mirko Titze, Wilfried Ehrenfeld, Matthias Piontek, Gunnar Pippel
Schrumpfende Regionen - dynamische Hochschulen: Hochschulstrategien im demografischen Wandel,
2015
Abstract
Innovationen sind ein zentraler Treiber für das Wachstum von Unternehmen und Regionen. Es gibt daher eine breite Literatur, welche versucht, die Determinanten der Innovationsfähigkeit zu identifizieren. Kooperationen stellen einen wichtigen Faktor im Bereich Forschung und Entwicklung dar, da Verflechtungen den Fluss von Wissen zwischen den beteiligten Akteuren, wie beispielsweise Hochschulen und Unternehmen, unterstützen. Um derartige Verflechtungen abzubilden, haben sich in der Fachliteratur verschiedene Ansätze durchgesetzt. So können beispielsweise Informationen über Ko-Publikationen, Ko-Patente oder geförderte FuE-Vorhaben genutzt werden. Die verschiedenen Ansätze haben jedoch ihre individuellen Stärken und Schwächen. Zudem bilden sie jeweils verschiedene Facetten der Kooperation im Bereich Forschung und Entwicklung ab. Dieser Beitrag setzt an dieser Problematik an, indem er anhand von sechs Fallregionen einen Mehrebenenansatz vorstellt, welcher die genannten Ebenen von Kooperation zusammenführt. Dies ermöglicht, ein umfassendes Bild der Vernetzung in den Fallregionen zu erhalten.
Read article
R&D Collaboration for Environmental Innovation
Gunnar Pippel
International Journal of Innovation Management,
No. 1,
2015
Abstract
The literature on the impact of R&D collaboration on environmental innovation performance of firms suggests that R&D collaboration is not always beneficial. Therefore, a more detailed analysis of the effects of R&D collaboration is necessary. This paper investigates the impact of R&D collaboration with different partner types on a firm’s environmental innovation performance. In addition, the paper addresses the question of whether the diversity of R&D collaboration partners is important to environmental innovation performance. Firm-level data from 2337 German firms are used in the regression analysis. The results suggest that R&D collaboration with suppliers, customers, universities, governmental research institutes, consultants and other firms within the same firm group has a significant positive impact on a firm’s environmental innovation performance, whereas collaboration with competitors has no significant impact. The diversity of R&D collaboration partners has a significantly positive impact on a firm’s environmental innovation performance.
Read article
Isolation and Innovation – Two Contradictory Concepts? Explorative Findings from the German Laser Industry
Wilfried Ehrenfeld, T. Pusch, Muhamed Kudic
IWH Discussion Papers,
No. 1,
2015
Abstract
We apply a network perspective and study the emergence of core-periphery (CP) structures in innovation networks to shed some light on the relationship between isolation and innovation. It has been frequently argued that a firm’s location in a densely interconnected network area improves its ability to access information and absorb technological knowledge. This, in turn, enables a firm to generate new products and services at a higher rate compared to less integrated competitors. However, the importance of peripheral positions for innovation processes is still a widely neglected issue in literature. Isolation may provide unique conditions that induce innovations which otherwise may never have been invented. Such innovations have the potential to lay the ground for a firm’s pathway towards the network core, where the industry’s established technological knowledge is assumed to be located.
The aim of our paper is twofold. Firstly, we propose a new CP indicator and apply it to analyze the emergence of CP patterns in the German laser industry. We employ publicly funded Research and Development (R&D) cooperation project data over a period of more than two decades. Secondly, we explore the paths on which firms move from isolated positions towards the core (and vice versa). Our exploratory results open up a number of new research questions at the intersection between geography, economics and network research.
Read article
Im Fokus: Sächsische Kooperationsstrukturen im 7. Forschungsrahmenprogramm der Europäischen Union
Mirko Titze
Wirtschaft im Wandel,
No. 6,
2014
Abstract
Im Bereich Forschung und Entwicklung (FuE) bieten zwischenbetriebliche Kooperationen die Möglichkeit, Spezialisierungsvorteile zu nutzen und Wissen auszutauschen. Für die Entstehung von Innovationen ist insbesondere personengebundenes Wissen wichtig, dessen Ausbreitung jedoch räumlich begrenzt ist. Für die Innovationsdynamik einer Region sind deswegen neben überregionalen Beziehungen auch regionale Kooperationen bedeutsam. Der vorliegende Beitrag analysiert die Kooperationsstrukturen innerhalb geförderter Verbundprojekte des 7. Forschungsrahmenprogramms der Europäischen Union (EU) für den Zeitraum von 2007 bis 2013. Die Untersuchung richtet sich auf den Freistaat Sachsen. Der Beitrag knüpft an eine Untersuchung aus dem Jahr 2013 an, die zeigte, dass sächsische Akteure in einer bestimmten Art von Förderprogrammen, den Bundesprogrammen, heute vergleichsweise viele Kooperationspartner in räumlicher Nähe wählen. Es zeigt sich, dass es formelle Kooperationen zwischen sächsischen Akteuren auch innerhalb der internationalen Konsortien der Forschungsrahmenprogramme der EU gibt. Damit ist der Grundstein für den Austausch von personengebundenem Wissen gelegt. Aus internationaler Perspektive waren in den angesprochenen Projekten vorwiegend Partner aus Westeuropa beteiligt.
Read article
The Structure and Evolution of Intersectoral Technological Complementarity in R&D in Germany from 1990 to 2011
Matthias Brachert, T. Broekel
Abstract
Technological complementarity is argued to be a crucial element for effective Research and Development (R&D) collaboration. The real structure is, however, still largely unknown. Based on the argument that organizations’ knowledge resources must fit for enabling collective learning and innovation, we use the co-occurrence of firms in collaborative R&D projects in Germany to assess inter-sectoral technological complementarity between 129 sectors. The results are mapped as complementarity space for the Germany economy. The space and its dynamics from 1990 to 2011 are analyzed by means of social network analysis.
The results illustrate sectors being complements both from a dyadic and portfolio/ network perspective. This latter is important, as complementarities may only become fully effective when integrated in a complete set of different knowledge resources from multiple sectors. The dynamic perspective moreover reveals the shifting demand for knowledge resources among sectors at different time periods.
Read article
R&D Cooperation for Non-technological Innovations
Gunnar Pippel
Economics of Innovation and New Technology,
No. 7,
2014
Abstract
Past research on the impact of R&D cooperation on firm innovation performance has almost solely focused on technological innovations. This paper investigates the impact of R&D cooperation on non-technological innovation performance of firms. In doing so, seven different cooperation partner types are distinguished. Survey data from German firms are used for the econometric analysis. It is shown that R&D cooperation increases the probability of a firm to introduce non-technological innovations. R&D cooperation with suppliers, consultants, other firms within the same firm group and universities has a significant positive impact on organizational and marketing innovation performance. Cooperation with governmental research institutes and competitors has no significant effect. R&D cooperation with customers has a significant impact on a firm's organizational innovation performance, but not on marketing innovation performance.
Read article
Exploring the Evolution of Innovation Networks in Science-driven and Scale-intensive Industries: New Evidence from a Stochastic Actor-based Approach
T. Buchmann, D. Hain, Muhamed Kudic, M. Müller
IWH Discussion Papers,
No. 1,
2014
Abstract
Our primary goal is to analyse the drivers of evolutionary network change processes by using a stochastic actor-based simulation approach. We contribute to the literature by combining two unique datasets, concerning the German laser and automotive industry, between 2002 and 2006 to explore whether geographical, network-related, and techno-logical determinants affect the evolution of networks, and if so, as to what extent these determinants systematically differ for science-driven industries compared to scale-intensive industries. Our results provide empirical evidence for the explanatory power of network-related determinants in both industries. The ‘experience effect’ as well as the ‘transitivity effects’ are significant for both industries but more pronounced for laser manufacturing firms. When it comes to ‘geographical effects’ and ‘technological ef-fects’ the picture changes considerably. While geographical proximity plays an important role in the automotive industry, firms in the laser industry seem to be less dependent on geographical closeness to cooperation partners; instead they rather search out for cooperation opportunities in distance. This might reflect the strong dependence of firms in science-driven industries to access diverse external knowledge, which cannot necessarily be found in the close geographical surrounding. Technological proximity negatively influences cooperation decisions for laser source manufacturers, yet has no impact for automotive firms. In other words, technological heterogeneity seems to ex-plain, at least in science-driven industries, the attractiveness of potential cooperation partners.
Read article