|
on Knowledge Management and Knowledge Economy |
Issue of 2010‒06‒26
eight papers chosen by Laura Stefanescu European Research Centre of Managerial Studies in Business Administration |
By: | Corinne Autant-Bernard (GATE Lyon Saint-Etienne - Groupe d'analyse et de théorie économique - CNRS : UMR5824 - Université Lumière - Lyon II - Ecole Normale Supérieure Lettres et Sciences Humaines); Nadine Massard (GATE Lyon Saint-Etienne - Groupe d'analyse et de théorie économique - CNRS : UMR5824 - Université Lumière - Lyon II - Ecole Normale Supérieure Lettres et Sciences Humaines); Muriel Fadairo (GATE Lyon Saint-Etienne - Groupe d'analyse et de théorie économique - CNRS : UMR5824 - Université Lumière - Lyon II - Ecole Normale Supérieure Lettres et Sciences Humaines) |
Abstract: | This article builds upon empirical results concerning localised knowledge spillovers to highlight some policy implications within European regions. The analysis emphasises the role of regional innovation policies in supporting the institutions that generate knowledge and learning. However, the variety of regional features presented in the empirical literature suggests that the search for universal policy tools is unrealistic. From this perspective, we argue that original strategies must be generated to cope with the various dilemmas faced by regional innovation policies. Such specific strategies require accurate knowledge of local features. Improving data and indicators to diagnose and monitor regional innovation is therefore presented as a key issue for policy makers |
Keywords: | innovation policy ; localised knowledge flows ; European regions ; knowledge-based economy |
Date: | 2010 |
URL: | http://d.repec.org/n?u=RePEc:hal:journl:halshs-00491062_v1&r=knm |
By: | Christoph Kober |
Date: | 2010–05–27 |
URL: | http://d.repec.org/n?u=RePEc:wiw:wiwneu:neurusp139&r=knm |
By: | Haynes, Paul |
Abstract: | The Knowledge Grid has social characteristics. In the real world, people live and work in a social grid obeying social and economic rules and laws. The Knowledge Grid is a virtual social grid, where people enjoy and provide services through versatile flow cycles like cycle flows, material flows, energy flows, information flows and knowledge flows. An artificial interconnection environment can only be effective when it works harmoniously with social grids. (Zhuge 2004: 6-7) |
Date: | 2010–03–15 |
URL: | http://d.repec.org/n?u=RePEc:ing:wpaper:201003&r=knm |
By: | Jan Fagerberg (Centre for Technology, Innovation and Culture, University of Oslo); Koson Sapprasert (Centre for Technology, Innovation and Culture, University of Oslo) |
Abstract: | New types of knowledge, and new ways of organising the production of it, may emerge as knowledge producers respond to the challenges posed by a changing society. This study will focus on the core knowledge of one such emerging field, namely, innovation studies, i.e. the attempt to understand the social process which enables the continuation of qualitative improvements of products, technologies, and the organisation of economic activities. To explore the knowledge base of innovation, a new data base of references in scholarly surveys of various aspects of innovation, mostly published in “handbooks”, is developed. The paper describes the process that led to the construction of the data base and its exploitation in identifying the core literature on innovation. Furthermore, the characteristics of this literature, the central contributors and the use of the literature (as reflected by references to this core literature in scholarly journals) are analysed. Finally, cluster analysis is used to make inferences about how the field is structured and its links with different disciplinary and cross-disciplinary contexts. |
Keywords: | Innovation, cross-disciplinarity, emerging scientific field, social science |
Date: | 2010–06 |
URL: | http://d.repec.org/n?u=RePEc:tik:inowpp:20100616&r=knm |
By: | Tommy Clausen (Centre for Technology, Innovation and Culture, University of Oslo); Mikko Pohjola (Turku School of Economics, Finland); Koson Sapprasert (Centre for Technology, Innovation and Culture, University of Oslo); Bart Verspagen (Centre for Technology, Innovation and Culture, University of Oslo) |
Abstract: | An important topic in the recent literature on firms’ innovation is the question of whether, and to what extent, firms which innovate once have a higher probability of innovating again in subsequent periods. This phenomenon is called the ‘persistence of innovation’. Although the literature has established that innovation persistence is indeed important from an empirical point of view, relatively little attention has been paid to identifying the reasons why this is the case. This study proposes that the differences in innovation strategies across firms are an important driving force behind innovation persistence, and analyses this issue using a panel database constructed from R&D and Community Innovation Surveys in Norway. Empirical measures of various innovation strategies are identified by means of a factor analysis. A cluster analysis is used in addition to a dynamic random effects probit model to extend the methodology adopted by prior studies, for the purpose to not only examine innovation persistence, but also determine how this persistence is influenced by innovation strategies. The results support the idea that the differences in innovation strategies across firms are an important determinant of the firms’ probability to repeatedly innovate. The study also distinguishes the effects of strategy differences on the persistence of product and process innovation in all firms, and within high-tech versus low-tech firms. |
Keywords: | Persistence of innovation, Firm heterogeneity, Innovation strategy, Panel data |
Date: | 2010–06 |
URL: | http://d.repec.org/n?u=RePEc:tik:inowpp:20100617&r=knm |
By: | Mirko Titze; Matthias Brachert; Alexander Kubis |
Abstract: | We use a combination of measures of spatial concentration, qualitative input-output analysis and innovation interaction matrices to identify the horizontal and vertical dimension of industrial clusters in Saxony in 2005. We describe the spatial allocation of the industrial clusters and show possibilities of vertical interaction of clusters based on intermediate goods flows. With the help of region and sector-specific knowledge interaction matrices we are able to show that a sole focus on intermediate goods flows limits the identification of innovative actors in industrial clusters, as knowledge flows and intermediate goods flows do not show any major overlaps. |
Date: | 2010–06 |
URL: | http://d.repec.org/n?u=RePEc:iwh:dispap:14-10&r=knm |
By: | Consoli, Davide; Elche Hortelano, Dioni |
Abstract: | Knowledge Intensive Business Services (KIBS) are intermediary firms specialized in knowledge screening, assessment, evaluation, and trading services in the form of consultancy. Their emergence fits a wider trajectory in the development of modern knowledge economies whereby increasing sectoral specialisation requires the expansion of activities which facilitate cross-sectoral relations. In spite of continued expansion and diversification scholarly work still portrays KIBS as a homogeneous group of activities. This paper uses official data on occupational information in the United States in search of variety across KIBS sectors, and points specifically at differences in the occupational structures and skill requirements. |
JEL: | J24 L84 O33 |
Date: | 2010–01–15 |
URL: | http://d.repec.org/n?u=RePEc:ing:wpaper:200909&r=knm |
By: | Eric Neumayer (London School of Economics and Political Science) |
Abstract: | The literatures and debates on human development on the one hand and sustainability on the other share much in common. Human development is essentially what sustainability advocates want to sustain and without sustainability, human development is not true human development. Yet the two strands of research have largely been separate and this paper shows how they can learn from each other. I put forward a concrete proposal on how human development and its measurement in the form of the Human Development Index (HDI) can be linked with measures of both weak and strong sustainability. Weak sustainability is built on the assumption that different forms of capital are substitutable, whereas strong sustainability rejects the notion of substitutability for certain critical forms of natural capital. Empirical results over the period 1980 to 2006 show that many of the lowest performing countries on the HDI also face problems of weak unsustainability, as measured by genuine savings. Countries with high to very high HDI performance, on the other hand, typically appear to be strongly unsustainable, as measured by ecological footprints, mostly because of unsustainably large carbon dioxide emissions. Two of the biggest challenges facing mankind this century will be to break the link between high human development and strongly unsustainable damage to natural capital on the one hand, requiring a very significant and rapid decarbonisation of their economies, and assisting countries with very low human development to overcome weak unsustainability by raising their investment levels into all forms of capital on the other. |
Keywords: | weak sustainability, strong sustainability, Human Development Index, genuine savings, ecological footprints, climate change |
JEL: | Q01 Q2 Q3 Q4 |
Date: | 2010–06 |
URL: | http://d.repec.org/n?u=RePEc:hdr:papers:hdrp-2010-05&r=knm |