nep-knm New Economics Papers
on Knowledge Management and Knowledge Economy
Issue of 2008‒08‒14
nine papers chosen by
Laura Stefanescu
European Research Centre of Managerial Studies in Business Administration

  1. Innovation and Knowledge Sourcing in the Vienna ICT Manufacturing Sector By Lukas Lengauer; Eva Nussmüller; Michaela Trippl; Franz Tödtling
  2. Triple-loop learning as foundation for profound change, individual cultivation, and radical innovation: Construction processes beyond scientific and rational knowledge. By Peschl, Markus F.
  3. The sure-thing principle and independence of irrelevant knowledge By Dov Samet
  4. Knowledge Production in Nanomaterials : An Application of Spatial Filtering to Regional Systems of Innovation By Christoph Grimpe; Roberto Patuelli
  5. Innovation, Diffusion and the Distribution of Income in a Malthusian Economy By Staley, Mark
  6. New Technology, Human Capital, Total Factor Productivity and Growth Process for Developing By Cuong Le Van; Tu-Anh Nguyen
  7. Investing in knowledge for evidence-based social policies for children: two case studies of knowledge dissemination initiatives in the Eastern Caribbean By Koen Rossel-Cambier; Tom Olsen; Niloufar Pourzand
  8. NEW SMALL FIRMS AND DIMENSIONS OF ECONOMIC PERFORMANCE By Sherrill Shaffer; Iftekhar Hasan; Mingming Zhou
  9. The Effect of Talent Disparity on Team Performance By Egon Franck; Stephan NŸesch

  1. By: Lukas Lengauer; Eva Nussmüller; Michaela Trippl; Franz Tödtling
    Date: 2008
  2. By: Peschl, Markus F.
    Abstract: Purpose: How does new knowledge or profound change come about and which processes of construction are involved? This article aims at developing an epistemological as well as methodological framework which is capable of explaining how profound and radical change can be brought about in various contexts, such as in individual cultivation, in organizations, in processes of radical innovation, etc. The concept of emergent innovation will be developed—it is based on the triple-loop learning strategy and the U-theory approach which opens up a perspective how the domain of scientific/rational knowledge, constructivism, and wisdom could grow together more closely. Design/Structure: This article develops a strategy which is referred to as “triple-loop learning”, which is not only the basis for processes of profound change, but also brings about a new dimension in the field of innovation, learning, and knowledge dynamics: the existential realm and the domain of wisdom. A concrete approach realizing the triple-loop learning strategy is presented. The final section shows, how these concepts can be interpreted in the context of the constructivist approach and how they might offer some extensions to this paradigm. Findings: The process of learning and change has to be extended to a domain which concerns existential issues as well as questions of wisdom. Profound change can only happen, if these domains are taken into consideration. The triple-loop learning strategy offers a model fulfilling this criterion. It is an “epistemo-existential strategy” for profound change on various levels. Conclusions: The (cognitive) processes and attitudes of receptivity, suspension, redirecting, openness, deep knowing, as well as “profound change/innovation from the interior” turn out to be core concepts in this process of emergent innovation. They are compatible with constructivist concepts. Glasersfeld’s concept of functional fitness is carried to an extreme in the suggested approach of profound change and finds an extension in the existential domain.
    Keywords: Double-loop learning; individual cultivation; emergent innovation; (radical) innovation; knowledge creation; knowledge society; personality development; presencing; profound change; triple-loop learning; U-theory; wisdom.
    JEL: O32 O31
    Date: 2006–11–14
  3. By: Dov Samet
    Date: 2008–07–31
  4. By: Christoph Grimpe (Centre for European Economic Research (ZEW), Mannheim, Germany; Katholieke Universiteit Leuven, Belgium; University of Zurich, Switzerland); Roberto Patuelli (Institute for Economic Research (IRE), University of Lugano, Switzerland; Rimini Centre for Economic Analysis, Rimini, Italy)
    Abstract: Nanomaterials are seen as a key technology for the 21st Century, and much is expected of them in terms of innovation and economic growth. They could open the way to many radically new applications, which would form the basis of innovative products. In this context, it seems all the more important for regions to put their own innovation systems in place, and to ensure that they offer a suitable location for such activities in order to benefit from the expected growth. Many regions have already done so by establishing ‘science parks’ and ‘nanoclusters’. As nanomaterials are still in their infancy, both public research institutes and private businesses could play a vital role in the process. This paper investigates what conditions and configurations allow a regional innovation system to be competitive in a cutting-edge technology like nanomaterials. We analyse European Patent Office data at the German district level (NUTS-3) on applications for nanomaterial patents, in order to chart the effects of localised research and development (R&D) in the public and private sector. We estimate two negative binomial models in a knowledge production function framework and include a spatial filtering approach to adjust for spatial effects. Our results indicate that there is a significant positive effect of both public and private R&D on the production of nanomaterial patents. Moreover, we find a positive interaction between them which hints at the importance of their co-location for realising the full potential of an emerging technology like nanomaterials.
    Keywords: nanotechnology, innovation, patents, Germany, spatial autocorrelation, spatial filtering
    JEL: L60 O32
    Date: 2008–08
  5. By: Staley, Mark
    Abstract: Between 5000 BCE and 1800, the population of the world grew 120-fold despite constraints on the total amount of land available for production. This paper develops a model linking population growth to increasing productivity driven by random innovation and diffusion. People are endowed with a set of skills obtained from their parents or neighbours, but those skills are imperfectly applied during their lifetimes. The resulting variation in productivity leads to a distribution of income and to a process of diffusion whereby high-income activities spread at the expense of low-income activities. An analytic formula is derived for the steady-state distribution of income. The model predicts that the rate of growth of population approaches an asymptotic limit, whereupon there are no scale effects. The model also predicts that if the rate of diffusion of knowledge is increased, the growth rate will increase.
    Keywords: Selection; Malthusian; Diffusion; Innovation
    JEL: O30 C02 N00 O40
    Date: 2008–05–15
  6. By: Cuong Le Van (Centre d'Economie de la Sorbonne, Universite Paris-1, France); Tu-Anh Nguyen (Centre d'Economie de la Sorbonne, Universite Paris-1, France)
    Abstract: Solowian view on miracle growth rate in NIEs as a result of productivity growth whereas many others (e.g. Krugman [1997]) convince that broad capital accumulation is only true engine underlying NIEs' growth. Krugman's view is correct in the short and mid terms, however in the long term, TFP is the main engine of growth. We show that the optimal strategy for a developing country consists of accumulating physical capital first and there is no research activity. When the country reaches a certain level of development, which is endogenously determined in the model, the technological progress may be generated. Three critical factors: the amount of available human capital; the relative price of technological capital; and the initial income of the economy.
    Keywords: New technology capital, Human Capital, Developing country
    Date: 2008
  7. By: Koen Rossel-Cambier (Center for European Research in Microfinance, Centre Emile Bernheim, Solvay Business School, Université Libre de Bruxelles, Brussels.); Tom Olsen; Niloufar Pourzand
    Date: 2007–12
  8. By: Sherrill Shaffer; Iftekhar Hasan; Mingming Zhou
    Abstract: Using data from metropolitan U.S. labor market areas, we quantify empirical associations between entry by small firms and a vector of economic performance measures encompassing levels, volatilities, and growth rates of several income and employment variables. Distinct and robust associations are found for net and gross rates of entry. These results suggest a richer variety of effects of entry in metropolitan markets than previously documented, and point to several potential tradeoffs associated with entry by small firms.
    JEL: O1 J23 M13
    Date: 2008–07
  9. By: Egon Franck (Institute for Strategy and Business Economics, University of Zurich); Stephan NŸesch (Institute for Strategy and Business Economics, University of Zurich)
    Abstract: This paper studies the relationship between talent disparity and team productivity based on panel data from German soccer teams. Holding average ability and unobserved team heterogeneity constant, we find evidence that the players selected to play on the competition team should be rather homogeneous regarding their playing talent. If, however, the team is defined at the preparatory stage, which includes all training activities, talent disparity turns out to be beneficial. In a first model, we analyze match-level data to test the talent composition effects of the fielded team on the final score of the game. In a second model, we include the reserve players as well and relate talent differences within the entire squad to the teamÕs (inverted) league standing at the end of the season as the ultimate measure of long-run team effectiveness. At the competition stage of team production, the gameÕs result depends on all team members performing at or above some threshold level of proficiency. At the preparatory stage of team production, however, aspects like mutual learning seem to be more important.
    Keywords: Talent Disparity, Team Productivity; Sports Economics, Soccer
    JEL: D23 D24 J44 L83
    Date: 2008

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