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on Knowledge Management and Knowledge Economy |
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Issue of 2010‒01‒10
eight papers chosen by Laura Stefanescu European Research Centre of Managerial Studies in Business Administration |
| By: | Jan Fagerberg (Centre for Technology, Innovation and Culture, University of Oslo); Martin Srholec (Centre for Technology, Innovation and Culture, University of Oslo) |
| Abstract: | This paper explores the possibility that technological capabilities, to lead to development, need to be accompanied by a broader set of “social capabilities”, reflecting not only the quality of governance but also the spread of values, beliefs and institutions that encourage members of society to actively contribute to the development process. To investigate this issue, a set of empirical indicators, reflecting the capabilities that have been emphazised in the literature as being important for development, was identified. We also take into account the possibility that these capabilities (and their impact) may be conditioned by historically given factors (related to, for example, geography, demography and history). The paper uses factor analysis to analyse the question of how these indicators interrelate and explores their relationship with economic development. We find that technological and social capabilities are indeed strongly related and, moreover, strongly correlated with economic development. The same does not apply for the second factor suggested by the analysis, which mainly reflects the character of countries’ political systems. Thus it is more important economically what countries do than how they decide on it. A strong negative relationship with development was found for the third factor, reflecting the combined effect of high fertility rates, low education and high frequency of serious disease. Arguably, this contributes to a “vicious circle” that makes it difficult for some very poor countries, especially in the tropics, to escape from poverty. |
| Date: | 2009–12 |
| URL: | http://d.repec.org/n?u=RePEc:tik:inowpp:20091218&r=knm |
| By: | Dmitry Kucharavy (LGeco - Laboratoire de Génie de la Conception - Institut National des Sciences Appliquées de Strasbourg); Eric Schenk (LGeco - Laboratoire de Génie de la Conception - Institut National des Sciences Appliquées de Strasbourg); Roland De Guio (LGeco - Laboratoire de Génie de la Conception - Institut National des Sciences Appliquées de Strasbourg) |
| Abstract: | In this paper applications of logistic S-curve and component logistics are considered in a framework of long-term forecasting of emerging technologies. Several questions and issues are discussed in connection with the presented ways of studying the transition from invention to innovation and further evolution of technologies. First, the features of a simple logistic model are presented and diverse types of competition are discussed. Second, a component logistic model is presented. Third, a hypothesis about the usability of a knowledge growth description and simulation for reliable long-term forecasting is proposed. Some interim empirical results for applying networks of contradictions are given. |
| Keywords: | component logistic model, innovation process, knowledge acquisition, OTSM-TRIZ |
| Date: | 2009–03 |
| URL: | http://d.repec.org/n?u=RePEc:hal:wpaper:halshs-00440438_v1&r=knm |
| By: | Walz, Rainer; Helfrich, Nicki; Enzmann, Alexander |
| Abstract: | For knowledge-intensive goods, foreign trade performance also depends on the quality of the technology. Important factors to consider are technological capa-bilities, various market factors which influence the chances of a country devel-oping a lead-market position, innovation-friendly regulation and the existence of internationally competitive complementary industry clusters. In order to model these aspects, various feedback mechanisms between these factors have to be taken into account, among them knowledge spillovers from the export success which lead to an erosion of a lead-market position over time. A system dynam-ics framework is used for a first implementation of a simulation model for wind energy technology exports from Germany. The empirical results show the ex-pected dynamics of the system and underline the importance of the various feedback loops. -- |
| Keywords: | Renewable energy technologies,exports,first-mover advantage,lead markets |
| Date: | 2009 |
| URL: | http://d.repec.org/n?u=RePEc:zbw:fisisi:s32009&r=knm |
| By: | Muller, Emmanuel; Zenker, Andrea; Héraud, Jean-Alain |
| Abstract: | -- |
| Date: | 2009 |
| URL: | http://d.repec.org/n?u=RePEc:zbw:fisifr:r72009&r=knm |
| By: | Gomez, Marie-Léandre (ESSEC Business School) |
| Abstract: | What are the dynamics of knowledge during planning practices? This research aims to analyze the nature of knowledge dynamics during planning practices. Pierre Bourdieu’s praxeology (1990, 2000) provides a fruitful framework to understand the role and the interactions between knowledge and practice. Habitus, a set of dispositions for action, offers a dynamic view of knowledge, which is permanently used, constructed and restructured during practice and for practice. This framework is mobilized through an empirical case study. Its highlights knowledge dynamics involved in planning practices: mapping the field, assigning value to practice, developing dispositions and building causal relationship on action. |
| Keywords: | Bourdieu; Control; Habitus; Knowing; Learning |
| JEL: | M00 M10 |
| Date: | 2009–11 |
| URL: | http://d.repec.org/n?u=RePEc:ebg:essewp:dr-09011&r=knm |
| By: | Koschatzky, Knut; Baier, Elisabeth; Kroll, Henning; Stahlecker, Thomas |
| Abstract: | The innovation system approach has become a current and frequently used tool for the assessment of innovative activities in different fields of study. So far, however, there is no unanimous agreement on the issue of the most relevant perspective which has to be taken when applying the approach to the study of individual cases - the territorial or the sectoral. This paper argues that it is both unlikely and analytically undesirable that any one of them should prevail. We will point out that taking the ICT sector as a case study, in most cases both territorial and sectoral determinants influence the develop-ment of innovative activities. We thus argue that neither the sectoral perspective can be thought of without taking into account territorial framework conditions nor vice versa. Even when the individual academic undertaking requires lying emphasis on one of the perspectives, the other needs to be included in the analysis. -- |
| Date: | 2009 |
| URL: | http://d.repec.org/n?u=RePEc:zbw:fisifr:r42009&r=knm |
| By: | Nicolas Jonard; R. Cowan; B. Sanditov (CREA, University of Luxembourg) |
| Abstract: | This paper presents an economic model of R&D network formation through the creation of strategic alliances. Firms are randomly endowed with knowledge elements. They base their alliance decisions purely on the technological fit of potential part- ners, ignoring social capital considerations and indirect benefits on the network. This is sucient to generate equilibrium networks with the small world properties of ob- served alliance networks, namely short pairwise distances and local clustering. The equilibrium networks are more clustered than "comparable" random graphs, while they have similar characteristic path length. Two extreme regimes of competition are examined, to show that while the competition has a quantitative eect on the equilibrium networks (density is lower with competition), the small world features of the equilibrium networks are preserved. |
| JEL: | D85 |
| Date: | 2009 |
| URL: | http://d.repec.org/n?u=RePEc:luc:wpaper:09-12&r=knm |
| By: | Koschatzky, Knut; Stahlecker, Thomas |
| Abstract: | Taking the implications of the cohesion policy framework for innovation governance as a starting point, it is the objective of this paper to discuss challenges for regional policy making with regard to a policy mix that is new to regional policy makers. Based on two German regions representing convergence and competitive and employment regions it will be discussed how regional policy makers can deal with this new policy approach and what could be appropriate strategies, programmes and learning tools. What can be seen from both the Bavarian and the Saxon case study is that the two regions apply a broad mix of different innovation policy measures, supporting all innovation policy tasks with relevance to regional development. In both regions innovation policy is not a new task, but Saxony as well as Bavaria can look back to a quite long tradition in the im-plementation of this policy. Differences exist with regard to policy learning in a way that due the longer innovation policy experiences of Bavaria more sophisticated structures and activities can be found in this federal state. -- |
| Date: | 2009 |
| URL: | http://d.repec.org/n?u=RePEc:zbw:fisifr:r32009&r=knm |