nep-knm New Economics Papers
on Knowledge Management and Knowledge Economy
Issue of 2009‒09‒19
four papers chosen by
Laura Stefanescu
European Research Centre of Managerial Studies in Business Administration

  1. The effects of knowledge management on innovative success: an empirical analysis of German firms By Cantner, Uwe; Joel, Kristin; Schmidt, Tobias
  2. Information Independence and Common Knowledge By Olivier Gossner; Ehud Kalai; Robert Weber
  3. Policy approaches regarding technology transfer: Portugal and Switzerland compared By Maria das Dores B. Moura Oliveira; Aurora A.C. Teixeira
  4. Knowledge, innovation and localised technological change in Italy, 1950-1990 By Antonelli Cristiano; Barbiellini Amidei Federico

  1. By: Cantner, Uwe; Joel, Kristin; Schmidt, Tobias
    Abstract: The aim of this paper is to analyse the effects of knowledge management on the innovation success of firms in Germany. Using a matching procedure on data from the German Innovation Survey of 2003 (Mannheim Innovation Panel), we pair firms applying knowledge management with twin firms with similar characteristics not applying knowledge management. Our focus is on investigating the effects of knowledge management techniques on the economic success of firms with product and process innovations. The results of our matching analysis reveal that firms which apply knowledge management perform better in terms of higher-than-average shares of turnover with innovative products compared to their twins. We do not find a significant effect of knowledge management on the share of cost reductions with process innovation.
    Keywords: knowledge management,innovation,matching estimator
    JEL: O32 L23 L25 M11
    Date: 2009
  2. By: Olivier Gossner; Ehud Kalai; Robert Weber
    Abstract: In Bayesian environments with private information, as described by the types of Harsanyi, how can types of agents be (statistically) disassociated from each other and how are such disassociations reflected in the agents’ knowledge structure? Conditions studied are (i) subjective independence (the opponents’ types are independent conditional on one’s own) and (ii) type disassociation under common knowledge (the agents’ types are independent, conditional on some common-knowledge variable). Subjective independence is motivated by its implications in Bayesian games and in studies of equilibrium concepts. We find that a variable that disassociates types is more informative than any common-knowledge variable. With three or more agents, conditions (i) and (ii) are equivalent. They also imply that any variable which is common knowledge to two agents is common knowledge to all, and imply the existence of a unique common-knowledge variable that disassociates types, which is the one defined by Aumann.
    Keywords: Bayesian games, independent types, common knowledge.
    JEL: D80 D82 C70
    Date: 2009–07
  3. By: Maria das Dores B. Moura Oliveira (UPIN - Universidade do Porto Inovação, Universidade do Porto); Aurora A.C. Teixeira (CEF.UP, Faculdade de Economia, Universidade do Porto; INESC Porto)
    Abstract: The environment in which technology transfer takes place plays a key role in defining the best approaches and, ultimately, their success. In the present paper we analyse the extent to which Technology Transfer Offices (TTOs) efficiency is influenced by framework conditions and, in particular, by the innovation policies and programmes. We hypothesise that countries with higher technology transfer efficiency levels would have innovation policies more supportive to technology transfer efforts. Results based on an in depth account and statistical analysis of over 60 innovation policies from Switzerland (widely associated to high levels of technology transference efficiency) and Portugal (a laggard country in this particular) corraborate our initial hypothesis. Switzerland policies overall include more references to knowledge and technology transfer, in the form of licenses, R&D collaboration and spin-offs, than Portuguese policies. One exception is the case of patents (intellectual property rights, in general) with stronger weight in Portuguese policies and, to some extent, the support to spin-off creation and venture capital. The findings highlighted significant differences in variables with impact in technology transfer, namely the priorities addressed, target groups and funding eligibility, aspects of the innovation process targeted and forms of funding. From the exercise it was possible to derive some policy implications. Specifically, we advance that if a country wishes to increase technology transfer efficiency then it should implement a mandate for R&D cooperation between different actors, give priority to fund cutting edge science and research performers, and attribute a higher emphasis on applied industrial research and prototype creation aspects of the innovation process.
    Keywords: Technology transfer, innovation policies, technology transfer efficiency
    Date: 2009–09
  4. By: Antonelli Cristiano (University of Turin); Barbiellini Amidei Federico
    Abstract: The paper is an attempt to provide an interpretation of the Italian puzzle in the post-WWII era consisting of very low levels of expenditure in R&D and yet high TFP growth. The research aims to supply the basic tools and the framework for a better understanding of the Italian industry innovation system and of its contribution to the country’s long term growth performance. The study applies the localized echnological change approach to implement the notion of knowledge interactions so as to appreciate: a) the role of external factors in the generation and exploitation of technological knowledge; b) the role of creative adoption in TFP dynamics. The analysis is based on a new dataset containing sectoral and regional series of TFP, capital intensity,wages per labour unit, R&D expenditures, patents granted in the USA, Technological Balance of Payments receipts and expenses, etc. for Italy over the 1950-1990 period. Using a SURE model framework, the impact of user-producer interactions on the dynamic efficiency of the Italian industrial sector is investigated across industries and regions. The significant and distinctive features of Italian innovation dynamics in the post WWII era that result are: i) the emerging and functioning of an innovation system based upon both horizontal dynamics of technological cooperation within industrial districts and vertical dynamic interdependence within industrial filieres; ii) a relevant, albeit incomplete, diffusion/catching up process in Italian regions.
    Date: 2009–09

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