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An analysis of Knowledge Processing based Mobilisation and Distribution for Intelligent Enterprises

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  • Vasile MAZILESCU

    () (Dunarea de Jos University of Galati, Romania)

Abstract

This paper presents a deep analysis of knowledge, as the basic pillar of the intelligent enterprise and of many other Intelligent Economic Systems. In this respect I emphasize that it is essential to realize that Knowledge Management is both a cultural and a technological provocation. We might say that the cultural aspect is a priority. Any system designed to support these challenges must extend far beyond the technological boundaries and take into account the people who will use it and contribute to its success. Our work demonstrates the main aspects and strategic advantages of knowledge representation, processing based mobilisation and distribution in the long process from integrating information and applications to automate knowledge worker functions. Developing systems that incorporate knowledge within organizations differs significantly from other systems, because it is absolutely necessary to associate operational interpretations with the information, in order to transform them into knowledge useful in various acts of decision.

Suggested Citation

  • Vasile MAZILESCU, 2016. "An analysis of Knowledge Processing based Mobilisation and Distribution for Intelligent Enterprises," REVISTA DE MANAGEMENT COMPARAT INTERNATIONAL/REVIEW OF INTERNATIONAL COMPARATIVE MANAGEMENT, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 17(4), pages 350-372, October.
  • Handle: RePEc:rom:rmcimn:v:17:y:2016:i:4:p:350-372
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    File URL: http://rmci.ase.ro/no17vol4/04.pdf
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    References listed on IDEAS

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    1. Mats Alvesson, 2001. "Odd Couple: Making Sense of the Curious Concept of Knowledge Management," Journal of Management Studies, Wiley Blackwell, vol. 38(7), pages 995-1018, November.
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    More about this item

    Keywords

    Knowledge Processing based Mobilisation; Knowledge Distribution; Intelligent Economic Systems; Competency Management; Knowledge Management Systems.;

    JEL classification:

    • C68 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computable General Equilibrium Models
    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness

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