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Measuring the Effectiveness of Cooperative Ties in Knowledge Networks

Identifikátory výsledku

  • Kód výsledku v IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25410%2F16%3A39902026" target="_blank" >RIV/00216275:25410/16:39902026 - isvavai.cz</a>

  • Výsledek na webu

  • DOI - Digital Object Identifier

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

    Measuring the Effectiveness of Cooperative Ties in Knowledge Networks

  • Popis výsledku v původním jazyce

    Competitive advantage based on knowledge-intensive elements is often developed within innovation networks, strategic alliances, research centers, and consortia. Network-based operation among knowledge-intensive organizations helps to accelerate the pace of global technological change and helps diffuse complex knowledge and techniques at the international level. The interconnected actors cooperate and create an environment that promotes knowledge generation and transfer. Reciprocal willingness to share knowledge, trust, and even risk are important elements of a knowledge-intensive network&apos;s environment. This makes it possible to generate innovation – both faster and cheaper. The knowledge obtained, applied in the form of innovation, strengthens enterprise performance and increases an economy&apos;s competitiveness. Institutional support for research and development is carried out by various organizations in the Czech Republic. The Technology Agency of the Czech Republic (TACR) is the most important of these. It provides state support for applied research and experimental development. Its programs intentionally target cooperating stakeholders from the business and knowledge sectors. TACR supports projects that can reasonably expect to achieve various types of knowledge-intensive and commercializable results. Here, we constructed a knowledge network based on micro data from TACR concerning funding provided in the Pardubice region during the years 2011–2015. We focused on two primary industries in this region – the chemical and transportation industries. Using DEA analysis, we examined the effectiveness of TACR financial support, using project cost and the number of projects as inputs with patents and utility models being the multiple outputs. We show that cooperative ties in the chemical industry are more effective than in the transportation industry, which has important policy implications for state support of knowledge networks.

  • Název v anglickém jazyce

    Measuring the Effectiveness of Cooperative Ties in Knowledge Networks

  • Popis výsledku anglicky

    Competitive advantage based on knowledge-intensive elements is often developed within innovation networks, strategic alliances, research centers, and consortia. Network-based operation among knowledge-intensive organizations helps to accelerate the pace of global technological change and helps diffuse complex knowledge and techniques at the international level. The interconnected actors cooperate and create an environment that promotes knowledge generation and transfer. Reciprocal willingness to share knowledge, trust, and even risk are important elements of a knowledge-intensive network&apos;s environment. This makes it possible to generate innovation – both faster and cheaper. The knowledge obtained, applied in the form of innovation, strengthens enterprise performance and increases an economy&apos;s competitiveness. Institutional support for research and development is carried out by various organizations in the Czech Republic. The Technology Agency of the Czech Republic (TACR) is the most important of these. It provides state support for applied research and experimental development. Its programs intentionally target cooperating stakeholders from the business and knowledge sectors. TACR supports projects that can reasonably expect to achieve various types of knowledge-intensive and commercializable results. Here, we constructed a knowledge network based on micro data from TACR concerning funding provided in the Pardubice region during the years 2011–2015. We focused on two primary industries in this region – the chemical and transportation industries. Using DEA analysis, we examined the effectiveness of TACR financial support, using project cost and the number of projects as inputs with patents and utility models being the multiple outputs. We show that cooperative ties in the chemical industry are more effective than in the transportation industry, which has important policy implications for state support of knowledge networks.

Klasifikace

  • Druh

    D - Stať ve sborníku

  • CEP obor

  • OECD FORD obor

    50601 - Political science

Návaznosti výsledku

  • Projekt

    <a href="/cs/project/GA14-02836S" target="_blank" >GA14-02836S: Modelování efektů přelévání znalostí v kontextu regionálního a místního rozvoje</a><br>

  • Návaznosti

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Ostatní

  • Rok uplatnění

    2016

  • Kód důvěrnosti údajů

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Údaje specifické pro druh výsledku

  • Název statě ve sborníku

    Proceedings of the 18th European Conference on Knowledge Management

  • ISBN

    978-1-911218-03-6

  • ISSN

    2048-8963

  • e-ISSN

    neuvedeno

  • Počet stran výsledku

    9

  • Strana od-do

    831-839

  • Název nakladatele

    Academic Conferences and Publishing International

  • Místo vydání

    Reading

  • Místo konání akce

    Belfast

  • Datum konání akce

    7. 9. 2016

  • Typ akce podle státní příslušnosti

    WRD - Celosvětová akce

  • Kód UT WoS článku

    000400276800099