IDEAS home Printed from https://ideas.repec.org/a/eee/ejores/v195y2009i3p889-904.html
   My bibliography  Save this article

A decision support for identifying crucial knowledge requiring capitalizing operation

Author

Listed:
  • Saad, Inès
  • Chakhar, Salem

Abstract

Capitalizing on the company's crucial knowledge is an important operation for company's success. The first step in knowledge capitalizing is to identify the crucial knowledge for which capitalizing operation is required. The crucial knowledge identification is an ill-structured and multi-criteria problem. In this paper, the crucial knowledge identification problem is structured according to the well-known Simon's decision making process. Then, a decision support system (DSS), called K-DSS, is developed to support this decision process. The main objectives of this paper are to introduce the crucial knowledge identification decision process, to present the conceptual and functional architectures of K-DSS and to illustrate its utility through a real-world case study conducted in an automobile company.

Suggested Citation

  • Saad, Inès & Chakhar, Salem, 2009. "A decision support for identifying crucial knowledge requiring capitalizing operation," European Journal of Operational Research, Elsevier, vol. 195(3), pages 889-904, June.
    • Handle: RePEc:eee:ejores:v:195:y:2009:i:3:p:889-904
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0377-2217(07)01113-7
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. repec:dau:papers:123456789/4141 is not listed on IDEAS
    2. Jean-Louis Ermine & Imed Boughzala & Thierno Tounkara, 2006. "Critical knowledge map as a decision tool for knowledge transfer actions," Post-Print hal-00470387, HAL.
    3. Ines Saad & Camille Rosenthal-Sabroux & Michel Grundstein, 2005. "Improving the Decision Making Process in the Design Project by Capitalizing on Company’s Crucial Knowledge," Group Decision and Negotiation, Springer, vol. 14(2), pages 131-145, March.
    4. Greco, Salvatore & Matarazzo, Benedetto & Slowinski, Roman, 2001. "Rough sets theory for multicriteria decision analysis," European Journal of Operational Research, Elsevier, vol. 129(1), pages 1-47, February.
    5. repec:dau:papers:123456789/1482 is not listed on IDEAS
    6. repec:dau:papers:123456789/4132 is not listed on IDEAS
    7. repec:dau:papers:123456789/3744 is not listed on IDEAS
    8. Grundstein, Michel & Rosenthal-Sabroux, Camille & Pachulski, Alexandre, 2003. "Reinforcing decision aid by capitalizing on company's knowledge: Future prospects," European Journal of Operational Research, Elsevier, vol. 145(2), pages 256-272, March.
    9. Sébastien Damart & Luis Dias & Vincent Mousseau, 2007. "Supporting groups in sorting decisions: methodology and use of a multi-criteria aggregation-disaggregation DSS," Post-Print halshs-00170234, HAL.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Rotaru Ionela Magdalena & Borza Sorin, 2014. "Conception And Fabrication In Automotive Industry Using Knowledge Management Principles," Balkan Region Conference on Engineering and Business Education, Sciendo, vol. 1(1), pages 359-364, August.
    2. Imène Brigui-Chtioui & Inès Saad, 2011. "A Multiagent Approach for Collective Decision Making in Knowledge Management," Group Decision and Negotiation, Springer, vol. 20(1), pages 19-37, January.
    3. Dhaoui, Elwardi, 2012. "Cognitive Capitalism: Foundations, Assessment and Evaluation of New Perspectives," MPRA Paper 63688, University Library of Munich, Germany.
    4. Chakhar, Salem & Ishizaka, Alessio & Labib, Ashraf & Saad, Inès, 2016. "Dominance-based rough set approach for group decisions," European Journal of Operational Research, Elsevier, vol. 251(1), pages 206-224.

    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. Bouzayane, Sarra & Saad, Inès, 2020. "A multicriteria approach based on rough set theory for the incremental Periodic prediction," European Journal of Operational Research, Elsevier, vol. 286(1), pages 282-298.
    2. repec:dau:papers:123456789/4156 is not listed on IDEAS
    3. repec:dau:papers:123456789/4080 is not listed on IDEAS
    4. Chakhar, Salem & Ishizaka, Alessio & Labib, Ashraf & Saad, Inès, 2016. "Dominance-based rough set approach for group decisions," European Journal of Operational Research, Elsevier, vol. 251(1), pages 206-224.
    5. Miłosz Kadziński & Lucia Rocchi & Grzegorz Miebs & David Grohmann & Maria Elena Menconi & Luisa Paolotti, 2018. "Multiple Criteria Assessment of Insulating Materials with a Group Decision Framework Incorporating Outranking Preference Model and Characteristic Class Profiles," Group Decision and Negotiation, Springer, vol. 27(1), pages 33-59, February.
    6. Fu-Ling Cai & Xiuwu Liao & Kan-Liang Wang, 2012. "An interactive sorting approach based on the assignment examples of multiple decision makers with different priorities," Annals of Operations Research, Springer, vol. 197(1), pages 87-108, August.
    7. Ciomek, Krzysztof & Ferretti, Valentina & Kadzinski, Milosz, 2018. "Predictive analytics and disused railways requalification: insights from a Post Factum Analysis perspective," LSE Research Online Documents on Economics 85922, London School of Economics and Political Science, LSE Library.
    8. Imène Brigui-Chtioui & Inès Saad, 2011. "A Multiagent Approach for Collective Decision Making in Knowledge Management," Group Decision and Negotiation, Springer, vol. 20(1), pages 19-37, January.
    9. Eduardo Fernández & José Rui Figueira & Jorge Navarro, 2023. "A theoretical look at ordinal classification methods based on comparing actions with limiting boundaries between adjacent classes," Annals of Operations Research, Springer, vol. 325(2), pages 819-843, June.
    10. Doumpos, M. & Marinakis, Y. & Marinaki, M. & Zopounidis, C., 2009. "An evolutionary approach to construction of outranking models for multicriteria classification: The case of the ELECTRE TRI method," European Journal of Operational Research, Elsevier, vol. 199(2), pages 496-505, December.
    11. Bouyssou, Denis & Marchant, Thierry, 2007. "An axiomatic approach to noncompensatory sorting methods in MCDM, II: More than two categories," European Journal of Operational Research, Elsevier, vol. 178(1), pages 246-276, April.
    12. Fernandez, Eduardo & Navarro, Jorge & Bernal, Sergio, 2010. "Handling multicriteria preferences in cluster analysis," European Journal of Operational Research, Elsevier, vol. 202(3), pages 819-827, May.
    13. Pawel Lezanski & Maria Pilacinska, 2018. "The dominance-based rough set approach to cylindrical plunge grinding process diagnosis," Journal of Intelligent Manufacturing, Springer, vol. 29(5), pages 989-1004, June.
    14. Choudhary, Devendra & Shankar, Ravi, 2012. "An STEEP-fuzzy AHP-TOPSIS framework for evaluation and selection of thermal power plant location: A case study from India," Energy, Elsevier, vol. 42(1), pages 510-521.
    15. García Cáceres, Rafael Guillermo & Aráoz Durand, Julián Arturo & Gómez, Fernando Palacios, 2009. "Integral analysis method - IAM," European Journal of Operational Research, Elsevier, vol. 192(3), pages 891-903, February.
    16. Azam, Nouman & Zhang, Yan & Yao, JingTao, 2017. "Evaluation functions and decision conditions of three-way decisions with game-theoretic rough sets," European Journal of Operational Research, Elsevier, vol. 261(2), pages 704-714.
    17. Kadziński, Miłosz & Wójcik, Michał & Ciomek, Krzysztof, 2022. "Review and experimental comparison of ranking and choice procedures for constructing a univocal recommendation in a preference disaggregation setting," Omega, Elsevier, vol. 113(C).
    18. Hu, Qiwei & Chakhar, Salem & Siraj, Sajid & Labib, Ashraf, 2017. "Spare parts classification in industrial manufacturing using the dominance-based rough set approach," European Journal of Operational Research, Elsevier, vol. 262(3), pages 1136-1163.
    19. Leung, Yee & Fischer, Manfred M. & Wu, Wei-Zhi & Mi, Ju-Sheng, 2008. "A rough set approach for the discovery of classification rules in interval-valued information systems," MPRA Paper 77767, University Library of Munich, Germany.
    20. Deparis, Stéphane & Mousseau, Vincent & Öztürk, Meltem & Huron, Caroline, 2015. "The effect of bi-criteria conflict on matching-elicited preferences," European Journal of Operational Research, Elsevier, vol. 242(3), pages 951-959.
    21. Pegdwendé Minoungou & Vincent Mousseau & Wassila Ouerdane & Paolo Scotton, 2023. "A MIP-based approach to learn MR-Sort models with single-peaked preferences," Annals of Operations Research, Springer, vol. 325(2), pages 795-817, June.
    22. Salvatore Barbagallo & Simona Consoli & Nello Pappalardo & Salvatore Greco & Santo Zimbone, 2006. "Discovering Reservoir Operating Rules by a Rough Set Approach," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 20(1), pages 19-36, February.

    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:eee:ejores:v:195:y:2009:i:3:p:889-904. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/eor .

    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.