Identifying Cooperation for Innovation ― A Comparison of Data Sources
Michael Fritsch, Mirko Titze, Matthias Piontek
Industry and Innovation,
Nr. 6,
2020
Abstract
The value of social network analysis is critically dependent on the comprehensive and reliable identification of actors and their relationships. We compare regional knowledge networks based on different types of data sources, namely, co-patents, co-publications, and publicly subsidized collaborative R&D projects. Moreover, by combining these three data sources, we construct a multilayer network that provides a comprehensive picture of intraregional interactions. By comparing the networks based on the data sources, we address the problems of coverage and selection bias. We observe that using only one data source leads to a severe underestimation of regional knowledge interactions, especially those of private sector firms and independent researchers.
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Types of Cooperation Partners as Determinants of Innovation Failures
Walter Hyll, Gunnar Pippel
Technology Analysis and Strategic Management,
Nr. 4,
2016
Abstract
In this paper we analyse if specific R&D cooperation partners are related to an increase in the probability of innovation failures in terms discontinuing innovation projects. We distinguish between seven different R&D cooperation partner types, and we discriminate between product innovation failures and process innovation failures. Using German Community Innovation Survey data we find that, firstly, each type of R&D cooperation partner has a different effect on innovation failures. Secondly, we show that product innovation failures and process innovation failures are not affected in equal measure by the same type of R&D cooperation partner. Our results suggest that while R&D cooperation with public research institutes is significantly and negatively related to the probability to cancel a process innovation project, the coefficient is positive but insignificant for product innovation failures. Firms conducting partnerships with suppliers, however, run the risk of both product and process innovation failures. In turn, cooperation with competitors is positively correlated only to process innovation failures.
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R&D Cooperation with Scientific Institutions: A Difference-in-difference Approach
Gunnar Pippel, V. Seefeld
Economics of Innovation and New Technology,
Nr. 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.
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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,
Nr. 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.
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Isolation and Innovation – Two Contradictory Concepts? Explorative Findings from the German Laser Industry
Wilfried Ehrenfeld, T. Pusch, Muhamed Kudic
IWH Discussion Papers,
Nr. 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.
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R&D Cooperation for Non-technological Innovations
Gunnar Pippel
Economics of Innovation and New Technology,
Nr. 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.
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MNEs and Regional R&D Co-operation: Evidence from Post-Transition Economies
Andrea Gauselmann
Grincoh Working Papers,
2013
Abstract
The aim of this paper is to contribute to the literature by investigating the determinants of R&D co-operation between MNEs’ foreign subsidiaries and enterprises in the region of location, thereby leading to a better understanding which firm- and region-specific factors influence this co-operation behavior. Applying a logit model, this paper investigates which firm- and region-specific determinants influence technological cooperation between foreign subsidiaries and suppliers, customers, and research institutions in the region of location. Results suggest that especially the foreign subsidiary’s mandate in terms of R&D, its internal technological embeddedness, its technological capability but also the regional knowledge stock are positively associated with these co-operations. The analysis focuses on post-transition economies, using the example of five selected CEE countries and East Germany. We exploit a unique dataset - the IWH FDI Micro database - which holds information on 1,245 foreign subsidiaries in this region.
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Network Formation: R&D Cooperation Propensity and Timing Among German Laser Source Manufacturers
Muhamed Kudic, Andreas Pyka, Marco Sunder
IWH Discussion Papers,
Nr. 9,
2013
Abstract
Empirical evidence on the evolution of innovation networks within high-tech industries is still scant. We investigate network formation processes by analyzing the timing of firms to enter R&D cooperations, using data on laser source manufacturers in Germany, 1990-2010. Network measures are constructed from a unique industry database that allows us to track both the formation and the termination of ties. Regression results reveal that a firm's knowledge endowment (and cooperation experience) shortens the duration to first (and consecutive) cooperation events. The previous occupation of strategic network positions is closely related to the establishment of further R&D cooperations at a swift pace. Geographic co-location produces mixed results in our analysis.
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Cooperation Events, Ego-Network Characteristics and Firm Innovativeness – Empirical Evidence from the German Laser Industry
Muhamed Kudic, Katja Guhr
IWH Discussion Papers,
Nr. 6,
2013
Abstract
We study how firm innovativeness is related to individual cooperation events and the structure and dynamics of firms’ ego-networks employing a unique panel dataset for the full population of 233 German laser source manufactures between 1990 and 2010. Firm innovativeness is measured by yearly patent applications as well as patent grants with a two year time-lag. Network measures are calculated on the basis of 570 knowledge-related publicly funded R&D alliances. Estimation results from a panel data count model with fixed effects are suggestive of direct innovation effects due to individual cooperation events, but only as long as structural ego-network characteristics are neglected. Innovativeness is robustly related to ego-network size and ego-network brokerage whereas ego-network density reveals some surprising results.
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