|
on Knowledge Management and Knowledge Economy |
Issue of 2017‒01‒08
six papers chosen by Laura Ştefănescu Centrul European de Studii Manageriale în Administrarea Afacerilor |
By: | Tödtling, Franz; Sinozic, Tanja; Auer, Alexander |
Abstract: | The health sector and medical technologies are of an increasing importance in society and for regional and national economies. Much like other life sciences industries, the medical devices sector relies upon specific factors and knowledge processes that shape and support its innovation capabilities and competitiveness. Previous studies have shown that growth and innovation in this sector depend on specific local factors and conditions as well as on markets and knowledge-interdependencies at higher spatial scales. There is still a research gap on the detailed nature of these driving factors and relationships, however. In this research, we have investigated these issues for the Vienna medical devices cluster that is part of the wider life sciences sector in this region. The main aims of the study were to generate insights into how different economic, knowledge- and policy conditions, and their spatial scales, interact to support and hinder development of the medical devices industry in Vienna, and to draw policy conclusions based on these findings. (authors' abstract) |
Date: | 2016–06–20 |
URL: | http://d.repec.org/n?u=RePEc:wiw:wus009:5199&r=knm |
By: | Conti, Chiara; Mancusi, Maria Luisa; Francesca, Sanna-Randaccio; Roberta, Sestini; Elena, Verdolini |
Abstract: | A major concern regarding innovation in clean technologies in the EU is that the fragmentation of its innovation system may hinder knowledge flows and, consequently, spillovers across member countries. A low intensity of knowledge flows across EU states can negatively impact their technological base, suppressing opportunities for further innovations and hindering the movement towards the technological frontier. This paper evaluates the fragmentation of the EU innovation system in the field of renewable energy sources (RES) by examining the intensity and direction of knowledge spillovers over the years 1985-2010. We modify the original double exponential knowledge diffusion model to provide information on the degree of integration of EU countries’ innovation efforts and to assess how citation patterns changed over time. We show that EU RES inventors have increasingly built “on the shoulders of the other EU giants”, intensifying their citations to other member countries and decreasing those to domestic inventors. Furthermore, the EU strengthened its position as source of RES knowledge for the US. Finally, we show that this pattern is peculiar to RES, with other traditional (i.e. fossil-based) energy technologies behaving in a completely different way. |
Keywords: | Knowledge Spillovers, Renewable Energy Technologies, Fossil Energy Technologies, EU Innovation, Research and Development/Tech Change/Emerging Technologies, Q55, Q58, Q42, O31, O33, |
Date: | 2016–12–15 |
URL: | http://d.repec.org/n?u=RePEc:ags:feemmi:250256&r=knm |
By: | Anastasiia Konstantynova; Tine Lehmann |
Abstract: | In recent decades? industrial clusters and agglomerations were recognized as drivers of regional and often national economic growth and competitiveness. Based on this cluster policy has been widely used to spur economic change, especially on the sub-national level. The public support to cluster development was widely done following the observed examples in the United States aiming to follow their success stories. Most commonly applied cluster policy approach composed of cluster mapping, establishment of institutions (labelled as cluster initiative/ association) in respective clusters through public-private support of these institutions´ and companies´ activities. However, the implementation of blue-printed cluster policy did not always lead to positive paths of cluster development due to the negligence of country / region specific institutional frameworks. This paper fills this void, by exploring selected cases of cluster associations and how their activities are influenced by different sets of institutional framework conditions. Information and communication technologies (ICT) clusters and their associations in European Union (EU) and Non-EU countries are taken as cases for the analysis. |
Keywords: | clusters; cluster policy; cluster association; institutions; ICT |
JEL: | R11 R58 O18 M21 |
Date: | 2016–12 |
URL: | http://d.repec.org/n?u=RePEc:wiw:wiwrsa:ersa16p722&r=knm |
By: | Marina Van Geenhuizen |
Abstract: | Industrial competence is increasingly dispersed across the globe, urging technology-based firms in Europe to establish international knowledge relationships at larger distances. This paper examines changing patterns of international knowledge relationships and the influence of capability factors of university spin-off firms on building such relationships, using a sample of 105 of such firms. The paper addresses the debate on capabilities among young high-tech ventures in developing an adequate internationalization network, in which opinions are contrasting, like concerning an easy globalization (born-global model) versus a reluctant and step-wise approach. In early patterns, 62 per cent of the sampled firms employed knowledge relationships abroad. The main capability factors affecting these early relationships tend to be PhD education in the founding team, participation in training, and the capability to innovate on a practical and modestly innovative level responding to market demand. The subsequent changes in relationships have led to a high overall internationalization level of 82 per cent five years later, but also reveal diverse trends on the individual level of firms, namely, no change for half of the spin-offs but an increase of spatial reach for only one third. With the aim to explore spatial internationalization patterns and changes herein, we apply logistic regression analysis. Important factors affecting both early and later international networks tend to be entrepreneurial orientation, regarding industry sector and market, while later relationships tend to be path-dependent, i.e. mainly influenced by the previous pattern. |
Keywords: | University spin-off firms; Knowledge relationships; Spatial reach; Capability factors |
JEL: | D8 L21 L26 M13 |
Date: | 2016–12 |
URL: | http://d.repec.org/n?u=RePEc:wiw:wiwrsa:ersa16p405&r=knm |
By: | Piva, Mariacristina (Università Cattolica del Sacro Cuore); Tani, Massimiliano (University of New South Wales); Vivarelli, Marco (Università Cattolica del Sacro Cuore) |
Abstract: | The aim of this paper is to investigate the productivity impact of business visits, relative to traditional drivers of productivity enhancement, namely capital formation and R&D. To carry out the analysis, we combine unique and novel data on business visits sourced from the U.S. National Business Travel Association with OECD data on R&D and capital formation. The resulting unbalanced panel covers on average 16 sectors per year in 10 countries during the period 1998-2011 (2,262 observations). Our results suggest that mobility through business visits is an effective mechanism to improve productivity. The estimated effect is about half as large as investing in R&D, supporting viewing business visits as a form of long-term investment rather than pure consumption expenditure. In a nutshell, our outcomes support the need to recognize the private and social value of business mobility. |
Keywords: | business visits, labour mobility, knowledge, R&D, productivity |
JEL: | O33 |
Date: | 2016–12 |
URL: | http://d.repec.org/n?u=RePEc:iza:izadps:dp10421&r=knm |
By: | Mauro Caminati |
Abstract: | This paper complements the Cournot collaboration game outlined in Goyal and Joshi (2003, sect. 4), with the hypothesis that pairwise R&D alliance is constrained by knowledge distance. Potential asymmetry of distance between two knowledge sets is formalized through a quasi-metric in knowldge space. If the knowledge constraints to collaboration are weak enough, the paper replicates the result by Goyal and Joshi (2003, sect. 4), that a ?firm is either isolated, or is connected to every other ?firm in the industry. If absoprtion of ideas from one?s potential partner requires sufficiently high knowledge proximity, the stable R&D networks in Cournot oligopoly are shown to display the clustering property, that is characteristic of real-world industry networks, and of social networks more generally. |
Keywords: | Cournot collaboration game, directed knowledge distance, R&D networks, degree assortativity, clustering |
JEL: | D85 L13 O30 |
Date: | 2016–10 |
URL: | http://d.repec.org/n?u=RePEc:usi:wpaper:737&r=knm |