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Croatian Defense Industry Competitiveness Cluster: Knowledge Management and Innovation Perspective

Author

Listed:
  • Jurčić Marina

    (University of Zagreb, Faculty of Organization and Informatics, Croatia Ministry of Defence of Republic of Croatia)

  • Lovrenčić Sandra

    (University of Zagreb, Faculty of Organization and Informatics, Croatia)

  • Kurnoga Nataša

    (University of Zagreb, Faculty of Economics and Business, Croatia)

Abstract

Background: Industry clusters and their relationship with the organization’s success, competitive advantage and innovations have been gaining research interest for decades, with the recent focus on defence industry.Objectives: The aim is to investigate how Croatian Defense Industry Competitiveness Cluster (CDICC) fosters the knowledge management and innovation performance of its members.Methods/Approach: Survey has been performed on a portion of CDICC members, and responses have been analysed using the factor analysis and the correlation analysis.Results: The results indicate that CDICC actively contributes to knowledge creation and acquisition, innovation performance and market performance of its members. However, the analysis revealed that knowledge storage and knowledge dissemination are not sufficiently supported by CDICC.Conclusions: The current problems with the various aspects of knowledge management within a cluster provide a direction for overcoming possible obstacles for further development of industrial clusters.

Suggested Citation

  • Jurčić Marina & Lovrenčić Sandra & Kurnoga Nataša, 2020. "Croatian Defense Industry Competitiveness Cluster: Knowledge Management and Innovation Perspective," Business Systems Research, Sciendo, vol. 11(1), pages 59-72, March.
    • Handle: RePEc:bit:bsrysr:v:11:y:2020:i:1:p:59-72:n:5
    DOI: 10.2478/bsrj-2020-0005
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    References listed on IDEAS

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    More about this item

    Keywords

    defence industry cluster; knowledge management; innovation performance; Croatian Defense Industry Competitiveness Cluster; factor analysis;
    All these keywords.

    JEL classification:

    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis

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