nep-knm New Economics Papers
on Knowledge Management and Knowledge Economy
Issue of 2014‒08‒20
seven papers chosen by
Laura Ştefănescu
Centrul European de Studii Manageriale în Administrarea Afacerilor

  1. Knowledge Complementarity of a Firm’s Internal and External R&D Capabilities By Koski, Heli; Svento, Rauli
  2. Paradigm Shift or Business as Usual? Dynamic Complementarities in Innovation Strategies By James H. Love; Stephen Roper; Priit Vahter
  3. Energy prices, technological knowledge and green energy innovation: A dynamic panel analysis of patent counts By Kruse, Juergen; Wetzel, Heike
  4. Knowledge spillovers, ICT and productivity growth By Haskel, J; Corrado, C; Jona-Lasinio, C
  5. Institutional Environment, Economic Performance and Innovation in Turkey By Erkan Erdil; M. Teoman Pamukçu; Dilek Çetin
  6. Comment piloter la performance du transfert de connaissances dans le processus d'innovation des entreprises technologiques By Michel Pendaries; Hector Castaneda
  7. The Dialogical Model: Developing Academic Knowledge for and from Practice By Marie-José Avenier; Aura Parmentier-Cajaiba

  1. By: Koski, Heli; Svento, Rauli
    Abstract: We use data from over 1500 Finnish companies for the years 2006-2008 and 2008-2010 to explore complementarity of a firm’s R&D strategy with its external knowledge acquisition and innovation collaboration strategies. We define knowledge complementarity (tacit knowledge complementarity) of R&D capabilities to exist when increase in investments in R&D also increases marginal returns from broader external knowledge search (deeper innovation collaboration with external partners). Our estimation results provide support for knowledge complementarity of external R&D. Instead, our data provide no evidence on tacit knowledge complementary of external R&D generally. However, our empirical results concerning the separate types of external R&D suggest that a firm’s acquisition of new technology (i.e., advanced machinery, equipment or software) for innovation purposes appears to be tacit knowledge complementary.
    Keywords: open innovation, external knowledge search, complementarity
    JEL: D83 O3 L2
    Date: 2014–08–06
  2. By: James H. Love (Aston University Business School); Stephen Roper (Warwick University Busines School); Priit Vahter (University of Tartu)
    Abstract: We investigate claims of a ‘paradigm shift’ towards firms using open innovation as a conscious strategic choice. Such a claim implicitly involves two elements: first, there should be some evidence that firms are increasingly likely to use a combination of internal and external knowledge in their innovation activity, and second, there should evidence that firms derive a systematic advantage from so doing. Using a panel of Irish manufacturing plants over the period 1991-2008 we develop four archetypal innovation strategies. We find little evidence, either from considering successive cross-sectional waves of comparable surveys, or in terms of the strategy switch choices of specific plants, that there has been a systematic move towards the use of an ‘open’ innovation strategy. We then test for the presence of complementarities in the joint use of internal R&D and external innovation linkages. In static terms we find no evidence of complementarity, but in dynamic terms find evidence that strategy switches by individual plants towards an open innovation strategy are accompanied by increased innovation outputs.
    Keywords: innovation strategies; dynamic complementarities; open innovation; Ireland
    JEL: O31 O33 D92
    Date: 2013–06–03
  3. By: Kruse, Juergen (Energiewirtschaftliches Institut an der Universitaet zu Koeln); Wetzel, Heike (Energiewirtschaftliches Institut an der Universitaet zu Koeln)
    Abstract: We examine the effect of energy prices and technological knowledge on innovation in green energy technologies. In doing so, we consider both demand-pull effects, which induce innovative activity by increasing the expected value of innovations, and technology-push effects, which drive innovative activity by extending the technological capability of an economy. Our analysis is conducted using patent data from the European Patent Office on a panel of 26 OECD countries over the period 1978-2009. Utilizing a dynamic count data model for panel data, we analyze 11 distinct green energy technologies. Our results indicate that the existing knowledge stock is a significant driver of green energy innovation for all technologies. Furthermore, the results suggest that energy prices have a positive impact on innovation for some but not all technologies and that the effect of energy prices and technological knowledge on green energy innovation becomes more pronounced after the Kyoto protocol agreement in 1997.
    Keywords: Green energy technologies; innovation; patents; demand-pull; technology-push; dynamic count data model
    JEL: C33 O31 Q40 Q42 Q55
    Date: 2014–07–31
  4. By: Haskel, J; Corrado, C; Jona-Lasinio, C
    Date: 2014–07–21
  5. By: Erkan Erdil (Department of Economics, Middle East Technical University); M. Teoman Pamukçu (TEKPOL, Science and Technology Policy Studies, Middle East Technical University); Dilek Çetin (Department of Economics, Kırıkkale University)
    Abstract: This paper investigates the relationship between economic performance and innovation in Turkey, while also taking into account the crucial mediating effect of the institutional environment. We carry out an in-depth analysis of the recent shifts in STI policy making in Turkey. The emphasis is on the innovation support policy instruments, and their effectiveness, as well as on the formulation of national STI targets, sector priorities and targets in the field of human resources. A number of concerns are expressed for the effectiveness of policy instruments and for the attainability of national STI targets. In the second part using firm-level data from an innovation survey pertaining to 2008-2010, an econometric exercise is conducted in order to test for the effectiveness of innovation support in Turkey. Innovation support is treated alternatively as an exogenous and endogenous variable. Findings indicate a positive impact innovation support in general. Innovation support granted by local authorities is not effective while EU-funded projects lead to innovation although they constitute an extremely low share of total innovation supports.
    Keywords: Institutional Environment, Science, Technology, Innovation, Economic Performance, CDM Model, Turkey
    Date: 2013–12
  6. By: Michel Pendaries (Euromed Marseille - École de management - Association Euromed Management - Marseille); Hector Castaneda (Euromed Marseille - École de management - Association Euromed Management - Marseille)
    Abstract: L'innovation est devenue intensive et ouverte, car les efforts de R & D des entreprises technologiques à elles seules ne suffisent plus. Elles doivent ouvrir leurs réseaux et collaborer. De ce fait, la connaissance est distribuée et devient le résultat d'un travail collectif. Les connaissances, comme composante importante du capital humain et des actifs immatériels de l'entreprise, requièrent de nouvelles méthodes et de nouveaux dispositifs pour mesurer et piloter les performances et en particulier celles du processus de transfert de connaissances. Cette recherche conceptuelle, a pour objectif d'identifier : les variables clés d'une performance durable de la co-création de valeur dans le processus de transfert de connaissances du processus d'innovation technologique, et les leviers d'action sur ces variables. Elles sont les composantes d'un système de pilotage de la performance, commun à des acteurs partenaires de plus en plus nombreux et juridiquement indépendants. Ces variables sont identifiées à partir du croisement des dimensions technologiques, sociales et organisationnelles du processus de transfert de connaissances et des liens intra et inter-organisationnels : structurel, cognitif, affectif et économique. Des leviers d'action sur ces variables sont proposés selon la stratégie de contrôle associée : contrôle de processus, contrôle d'arbitrage et contrôle d'output.
    Keywords: Innovation technologique, Pilotage de la performance, Transfert de connaissances, Création de valeur, Valeur partenariale
    Date: 2013–05–31
  7. By: Marie-José Avenier (Grenoble University, France; CERAG CNRS); Aura Parmentier-Cajaiba (University of Nice Sophia Antipolis, France; GREDEG CNRS)
    Abstract: In accordance with EMR's will to promote the diffusion of research findings to practice, we propose a methodological framework for developing and communicating academic knowledge relevant for practice: the dialogical model. This model of engaged scholarship comprises five activities: specifying a research question, elaborating local knowledge, developing conceptual knowledge, communicating knowledge, and activating knowledge. The current article focuses on the early stage of research question design and presents the epistemological framework in which the model was initially developed. It also offers guidance on how to maintain academic value and practical relevance in tension throughout the research process. Examples illustrate how to construct research questions relevant both for academia and practice, and how to justify validity in pragmatic constructivism. This model can likewise be mobilized in other epistemological frameworks, particularly for knowledge generation purposes. It enriches the researchers’ methodological toolbox by adding a new procedural tool that provides valuable guidelines from the very start of research projects.
    Keywords: engaged scholarship, relevance, practice, research question design, pragmatic constructivism
    JEL: M00
    Date: 2012–12

This nep-knm issue is ©2014 by Laura Ştefănescu. It is provided as is without any express or implied warranty. It may be freely redistributed in whole or in part for any purpose. If distributed in part, please include this notice.
General information on the NEP project can be found at For comments please write to the director of NEP, Marco Novarese at <>. Put “NEP” in the subject, otherwise your mail may be rejected.
NEP’s infrastructure is sponsored by the School of Economics and Finance of Massey University in New Zealand.