nep-knm New Economics Papers
on Knowledge Management and Knowledge Economy
Issue of 2014‒03‒22
seven papers chosen by
Laura Stefanescu
European Research Centre of Managerial Studies in Business Administration

  1. Direct and indirect effects of R&D cooperation on the innovation of Italian firms By Otello Ardovino; Luca Pennacchio; Giuseppe Piroli
  2. Enjeux des politiques industrielles basées sur les clusters d'innovation: cas des pôles de compétitivité By Iritié, B. G. Jean-Jacques
  3. Innovation and cognitive distance within a community of practice: an agent-based model By Widad Guechtouli
  4. Agent-based modeling of knowledge transfer within social networks By Widad Guechtouli
  5. The Contribution of Research and Innovation to Productivity and Economic Growth By Amani Elnasri; Kevin J. Fox
  6. How Industry Inventors Collaborate with Academic Researchers: The choice between shared and unilateral governance forms. By Bodas Freitas , Isabel Maria; Geuna, Aldo; Lawson, Cornelia; Rossi, Federica
  7. Intellectual Property Rights, Product Complexity, and the Organization By Alireza Naghavi; Julia Spies; Farid Toubal

  1. By: Otello Ardovino; Luca Pennacchio; Giuseppe Piroli
    Abstract: Firm innovation capacity depends not only on internal capabilities, but also on external expertise and knowledge acquired through cooperation. This paper analyzes direct and indirect effect of R&D cooperation on the innovation of Italian firms. Using a multivariate probit model to account for the complementarity of four different types of innovation activity and the heterogeneity in the choice of cooperation partners, we find strong and positive direct effects of collaborations with some non-competitive partners (suppliers, clients, private research institutes and consultants). Also R&D cooperation with competitors shows a relevant direct effect on firm innovation. On the contrary, collaborations with university have weaker effects; this could perhaps be due to the short-term perspective adopted in the study. These findings suggest that it is important to look at the specific type of R&D collaborations because they have a different impact on the success of innovative activities. On the other hand, indirect effects are scant and restricted to cooperation with some non-competitive partners. Such a result suggests that absorptive capacity of firms and R&D spillovers are quite weak in Italian context. Lastly, firm size and sector-specific features also affect innovation propensity.
    Keywords: R&D collaboration, absorptive capacity, moderating variable, innovation, equation probit model, community innovation survey.
    JEL: L13 O30 O32
    Date: 2014–03–03
    URL: http://d.repec.org/n?u=RePEc:eei:rpaper:eeri_rp_2014_03&r=knm
  2. By: Iritié, B. G. Jean-Jacques
    Abstract: In this paper, we analyze the issues of innovation clusters-based industrial policy through the economic issues of three industrial dynamics, i. e. R and D (or innovation), location of innovation activities and technology cooperation. It appears that the key elements that justify these new policies are the production and sharing of knowledge, sharing of indivisibility and economic growth. Then, we focuse on the french poles of competitiveness.
    Keywords: Clusters, innovation, industrial location, technology cooperation
    JEL: O25 O30 R10
    Date: 2014–03–07
    URL: http://d.repec.org/n?u=RePEc:pra:mprapa:54429&r=knm
  3. By: Widad Guechtouli
    Abstract: The development of New Information and Communication Technologies (NICT) in particular brought considerable changes in the management of codified knowledge. Nevertheless, the management of such a capital quickly appears problematic. In fact, a great quantity of knowledge is not transmitted this way; it is rather diffused by means of social interactions. We focus here on communities of practice and wish to know what impact does the cognitive distance that may exist between different members of a community have on the process of knowledge creation. We use agent-based modelling and preliminary results show that the cognitive distance that may, or may not, exist between the different members of a community does not seem to have an impact on the process of knowledge creation.
    Keywords: innovation, knowledge, cognitive distance, agent-based simulations
    Date: 2014–02–25
    URL: http://d.repec.org/n?u=RePEc:ipg:wpaper:2014-149&r=knm
  4. By: Widad Guechtouli
    Abstract: In this paper, we study both processes of direct and indirect knowledge transfer, from a modelling perspective, using agent-based models. In fact, there are several ways to model knowledge. We choose to study three different representations, and try to determine which one allows to better capture the dynamics of knowledge diffusion within a social network. Results show that when knowledge is modelled as a binary vector, and not cumulated, this enables us to observe some heterogeneity in agents' learning and interactions, in both types of knowledge transfer.
    Keywords: knowledge model, knowledge transfer, social networks, communication.
    Date: 2014–02–25
    URL: http://d.repec.org/n?u=RePEc:ipg:wpaper:2014-148&r=knm
  5. By: Amani Elnasri (School of Economics, Australian School of Business, the University of New South Wales); Kevin J. Fox (School of Economics, Australian School of Business, the University of New South Wales)
    Abstract: This paper examines the impact of investment in research and innovation on Australian market sector productivity. While previous studies have largely focused on a narrow class of private sector intangible assets as a source of productivity gains, this paper shows that there is a broad range of other business sector intangible assets that can significantly affect productivity. Moreover, the paper pays special attention to the role played by public support for research and innovation in the economy. The empirical results suggest that there are significant spillovers to productivity from public sector R&D spending on research agencies and higher education. No evidence is found for productivity spillovers from indirect public support for the business enterprise sector, civil sector or defence R&D. These findings could have implications for government innovation policy as they provide insights into possible productivity gains from government funding reallocations.
    Keywords: Productivity, Innovation, Intangible assets, Public support
    JEL: O3 O4 H4
    Date: 2014–01
    URL: http://d.repec.org/n?u=RePEc:swe:wpaper:2014-08&r=knm
  6. By: Bodas Freitas , Isabel Maria; Geuna, Aldo; Lawson, Cornelia; Rossi, Federica (University of Turin)
    Abstract: We investigate under what circumstances firms (industry inventors) are more likely to engage in interactions where governance of the relationship is shared between the firm and the university, as opposed to interactions where the relationship is governed unilaterally by the firm. Using PIEMINV, an original dataset of European industry patents in the Italian region of Piedmont, we analyse the characteristics of inventors with diverse experience in projects involving interactions with universities, governed by institutional contracts or personal contracts. Our results suggest that reliance among inventors of the two forms of governance is almost equal, and that unilateral governance forms are preferred when there are high levels of trust among the parties based on embeddedness in local social and education networks. This is likely because it involves less cumbersome and more direct interactions. We find also that knowledge characteristics are not particularly important discriminants of the choice between governance forms: the advantage of shared governance seems to reside mainly in the possibility to mitigate monitoring and asymmetric information problems in contexts of relatively low levels of mutual knowledge and trust.
    Date: 2014–01
    URL: http://d.repec.org/n?u=RePEc:uto:dipeco:201402&r=knm
  7. By: Alireza Naghavi; Julia Spies; Farid Toubal
    Abstract: This paper studies how the Intellectual Property Right (IPR) regime in destination countries influences the way multinationals structure the international organization of their production. In particular, we explore how multinationals divide tasks of different complexities across countries with different levels of IPR protection. The analysis studies the decision of firms between procurement from related parties and from independents suppliers at the product level. It also breaks down outsourcing into two types by distinguishing whether or not they involve technology sharing between the two parties. We combine data from a French firm-level survey on the mode choice for each transaction with a newly developed complexity measure at the product level. Our results confirm that firms are generally reluctant to source highly complex goods from outside firm boundaries. By studying the interaction between product complexity and the IPR protection, we obtain that (i) for technology-sharing-outsourcing IPRs promote outsourcing of more complex goods to a destination country by guaranteeing the protection of their technology, (ii) for non-technology-related-outsourcing IPRs attract the outsourcing of less complex products that are more prone to reverse engineering and simpler to decodify and imitate.
    Keywords: Outsourcing;Product complexity;Intellectual Property Rights;Technology Sharing
    JEL: F12 F23 O34
    Date: 2014–03
    URL: http://d.repec.org/n?u=RePEc:cii:cepidt:2014-07&r=knm

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