IDEAS home Printed from https://ideas.repec.org/a/rom/rmcimn/v17y2016i4p350-372.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://rmci.ase.ro/no17vol4/04.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Mats Alvesson & Dan Kärreman, 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.
    2. Martine R. Haas & Morten T. Hansen, 2007. "Different knowledge, different benefits: toward a productivity perspective on knowledge sharing in organizations," Strategic Management Journal, Wiley Blackwell, vol. 28(11), pages 1133-1153, November.
    3. Kebede, Gashaw, 2010. "Knowledge management: An information science perspective," International Journal of Information Management, Elsevier, vol. 30(5), pages 416-424.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Vasile MAZILESCU, 2012. "Knowledge Analysis in Terms of Representation,Processing based Mobilisation and Distribution," Economics and Applied Informatics, "Dunarea de Jos" University of Galati, Faculty of Economics and Business Administration, issue 1, pages 21-36.
    2. López-Nicolás, Carolina & Meroño-Cerdán, Ángel L., 2011. "Strategic knowledge management, innovation and performance," International Journal of Information Management, Elsevier, vol. 31(6), pages 502-509.
    3. Ferguson, J.E. & Huysman, M.H., 2009. "Between ambition and approach: towards sustainable knowledge management in development organizations," Serie Research Memoranda 0003, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    4. Ferlie, Ewan & Crilly, Tessa & Jashapara, Ashok & Peckham, Anna, 2012. "Knowledge mobilisation in healthcare: A critical review of health sector and generic management literature," Social Science & Medicine, Elsevier, vol. 74(8), pages 1297-1304.
    5. Galunic, Charles & Sengupta, Kishore & Petriglieri, Jennifer Louise, 2014. "Deus ex machina? Career progress and the contingent benefits of knowledge management systems," European Management Journal, Elsevier, vol. 32(1), pages 13-23.
    6. Alison Wood Brooks & Francesca Gino & Maurice E. Schweitzer, 2015. "Smart People Ask for (My) Advice: Seeking Advice Boosts Perceptions of Competence," Management Science, INFORMS, vol. 61(6), pages 1421-1435, June.
    7. Otilia Maria Bordeianu, 2014. "The Need for Knowledge Management Strategy for Organisations Facing Changes," Romanian Economic Journal, Department of International Business and Economics from the Academy of Economic Studies Bucharest, vol. 17(54), pages 3-23, December.
    8. Mike Bartholomaei, 2005. "To Know is to Be: Three Perspectives on the Codification of Knowledge," SPRU Working Paper Series 131, SPRU - Science Policy Research Unit, University of Sussex Business School.
    9. Muhammad Ali Butt & Faisal Nawaz & Saddam Hussain & Maria José Sousa & Minhong Wang & Muhammad Saleem Sumbal & Muhammad Shujahat, 2019. "Individual knowledge management engagement, knowledge-worker productivity, and innovation performance in knowledge-based organizations: the implications for knowledge processes and knowledge-based sys," Computational and Mathematical Organization Theory, Springer, vol. 25(3), pages 336-356, September.
    10. Yang Liu & Moses Olabhele Esangbedo & Sijun Bai, 2019. "Adaptability of Inter-Organizational Information Systems Based on Organizational Identity: Some Factors of Partnership for the Goals," Sustainability, MDPI, vol. 11(5), pages 1-20, March.
    11. Fahmi Ibrahim & Noor Maya Salleh, 2019. "Embedding Knowledge Management Theory in Learning and Teaching Approach," International Journal of Learning and Development, Macrothink Institute, vol. 9(1), pages 19-40, March.
    12. Damien Dietsch & Rim Khemiri, 2018. "Impact Of The Use Of Knowledge Obtained Through Informal Exchanges On The Performance Of Innovation Projects: For The Enrichment Of Inbound Open Innovation Practices," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 22(06), pages 1-35, August.
    13. Yuan Li & William J. Kettinger, 2022. "Testing the Relationship Between Information and Knowledge in Computer-Aided Decision-Making," Information Systems Frontiers, Springer, vol. 24(6), pages 1827-1843, December.
    14. Ružić Erik & Benazić Dragan, 2021. "The Impact of Internal Knowledge Sharing on Sales Department’s Innovativeness and New Product Commercialization," Organizacija, Sciendo, vol. 54(2), pages 147-160, May.
    15. Pattravadee Ploykitikoon & Charles M. Weber, 2019. "Knowledge Pathways and Performance: An Empirical Study of the National Laboratories in a Technology Latecomer Country," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 16(03), pages 1-37, May.
    16. Chris Kimble, 2013. "Knowledge management, codification and tacit knowledge," Post-Print halshs-00826911, HAL.
    17. Rudolph, Hedwig & Rothe, Katja, 2006. "Alles neu macht das Wissensmanagement? Strukturen und Steuerungslogik der Wissensarbeit in Unternehmensberatungen," Discussion Papers, Research Unit: Internationalization and Organization SP III 2006-203, WZB Berlin Social Science Center.
    18. Lee, Cheng-Yu & Wang, Ming-Chao & Huang, Yen-Chih, 2015. "The double-edged sword of technological diversity in R&D alliances: Network position and learning speed as moderators," European Management Journal, Elsevier, vol. 33(6), pages 450-461.
    19. Torsten Ringberg & Markus Reihlen, 2008. "Towards a Socio‐Cognitive Approach to Knowledge Transfer," Journal of Management Studies, Wiley Blackwell, vol. 45(5), pages 912-935, July.
    20. Ma, Danni & Fee, Anthony & Grabowski, Simone & Scerri, Moira, 2022. "Dual Organizational Identification in Multinational Enterprises and Interpersonal Horizontal Knowledge Sharing: A Conceptual Model," Journal of International Management, Elsevier, vol. 28(1).

    More about this item

    Keywords

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

    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

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:rom:rmcimn:v:17:y:2016:i:4:p:350-372. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Marian Nastase (email available below). General contact details of provider: https://edirc.repec.org/data/mnasero.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.