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Integrating Business Intelligence In State Administrative Structures For Stimulating Innovative Clusters

Author

Listed:
  • Ioana COMSULEA

    (The Bucharest University of Economic Studies, Bucharest, Romania)

  • Cristina A. FLOREA

    (The Bucharest University of Economic Studies, Bucharest, Romania)

Abstract

Business intelligence and knowledge management seems to gain the attention of the society regarding the benefits that brings to it when this two domains are considered as a whole. The advantage of using business intelligence in order to take decisions and bring innovation to the business, are convincing more and more entrepreneurs to implement this solution. The challenge in managing and using the knowledge that the business intelligence offers to the business, comes with the integration of the information with state administrative structures datas that have to be available to business clusters in order to improve their decisional process. In our paper, we demonstrate the benefits of using business intelligence in Romanian state administrative structures underlying the way that this adoption would support the activity of innovative and creative clusters.

Suggested Citation

  • Ioana COMSULEA & Cristina A. FLOREA, 2014. "Integrating Business Intelligence In State Administrative Structures For Stimulating Innovative Clusters," Network Intelligence Studies, Fundația Română pentru Inteligența Afacerii, Editorial Department, issue 4, pages 183-192, November.
  • Handle: RePEc:cmj:networ:y:2014:i:4:p:183-192
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    References listed on IDEAS

    as
    1. Casper, Steven, 2007. "How do technology clusters emerge and become sustainable?: Social network formation and inter-firm mobility within the San Diego biotechnology cluster," Research Policy, Elsevier, vol. 36(4), pages 438-455, May.
    2. Luca Gnan & Alessandro Hinna & Fabio Monteduro & Danila Scarozza, 2013. "Corporate governance and management practices: stakeholder involvement, quality and sustainability tools adoption," Journal of Management & Governance, Springer;Accademia Italiana di Economia Aziendale (AIDEA), vol. 17(4), pages 907-937, November.
    3. Muntean, Mihaela, 2012. "Business Intelligence Approaches," MPRA Paper 41139, University Library of Munich, Germany, revised 03 Jun 2012.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    Business Intelligence; Knowledge management; Innovation; Clusters;

    JEL classification:

    • A11 - General Economics and Teaching - - General Economics - - - Role of Economics; Role of Economists
    • H11 - Public Economics - - Structure and Scope of Government - - - Structure and Scope of Government
    • M16 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - International Business Administration
    • M21 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Economics - - - Business Economics
    • M48 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Accounting - - - Government Policy and Regulation
    • O44 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Environment and Growth
    • Q18 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Policy; Food Policy
    • Q26 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Recreational Aspects of Natural Resources
    • Q32 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Nonrenewable Resources and Conservation - - - Exhaustible Resources and Economic Development

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