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Organizational Memory: an Approach from Knowledge Management and Quality Management of Organizational Learning Perspectives

Author

Listed:
  • Marinela Vrîncianu

    (The Bucharest Academy of Economic Studies, Romania)

  • Liana Anica-Popa

    (The Bucharest Academy of Economic Studies, Romania)

  • Ionut Anica-Popa

Abstract

The recognition of the fact that, as of late, knowledge represents one of the most important assets of an organization, decisively influencing its competitiveness, has led to some comprehensive approaches of organizational memory. The organizational memory and the organizational learning capacity are the main sources for a competitive edge, so the main challenge is to effectively manage knowledge while maintaining the quality of formation services. The scientific investigation of literature (Crosby, 1979; Deming, 1982; Juran, 1990; Barcet and Bonamy, 1994; Barnabé, 1997; Bouchard and Plante, 2002; Demeuse and Strauven, 2006) specific to the area of management of services related to organizational learning, reveals the orientation of research, based on: (a) conformity between delivered services and the demanded characteristics or specifications; (b) meeting client’s needs; (c) studying the existing adequacy between result and what had been announced, foreseen or promised; (d) improving overall functioning of the organization by defining and implementing of a quality project, one that will involve the whole necessary staff for satisfying the needs of the learners. This paper will present: (1) contributions to a coherent point of view regarding the organizational memory from the perspective of the principles of quality management of services associated to organizational learning and based upon Knowledge Management; (2) the analysis of the main quality models that may be employed in organizational learning related services; (3) a study regarding the perception of successful organizational factors in the field of Knowledge Management-based training services amongst Romanian companies and institutions.

Suggested Citation

  • Marinela Vrîncianu & Liana Anica-Popa & Ionut Anica-Popa, 2009. "Organizational Memory: an Approach from Knowledge Management and Quality Management of Organizational Learning Perspectives," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 11(26), pages 473-481, June.
    • Handle: RePEc:aes:amfeco:v:11:y:2009:i:26:p:473-482
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    References listed on IDEAS

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    1. Jean-Louis Ermine, 2003. "La gestion des connaissances," Post-Print hal-00997696, HAL.
    2. Jean-Louis Ermine, 2003. "La gestion des connaissances," Grenoble Ecole de Management (Post-Print) hal-00997696, HAL.
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    Cited by:

    1. Carmen Bălan & Daniela Ioniţă, 2011. "Exploratory Research on the Organizational Learning in Small Enterprises and Implications for the Economic Higher Education," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 13(30), pages 464-481, June.
    2. Abdul Aziz Khan Niazi & Suleman Aziz Lodhi & Abdul Basit & Tehmina Fiaz Qazi, 2020. "Tacit Knowledge Sharing Model For Banks: Remedial Measure Of Likelihood Of Default," Bulletin of Business and Economics (BBE), Research Foundation for Humanity (RFH), vol. 9(1), pages 32-50, March.
    3. Camelia-Beatrice MAEREAN & Eugen ALBU, 2019. "Befriending Innovation €“ From Entrepreneurial Vision To Public Policy," Proceedings of the INTERNATIONAL MANAGEMENT CONFERENCE, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 13(1), pages 499-507, November.
    4. Maerean Camelia-Beatrice, 2021. "E-learning for Business- from Covid-Adaptation to Usual Practice," Proceedings of the International Conference on Business Excellence, Sciendo, vol. 15(1), pages 150-159, December.

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    More about this item

    Keywords

    organizational learning services quality management; organizational learning success model; cognitive acquis; organizational memory; knowledge management methods;
    All these keywords.

    JEL classification:

    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • C88 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other Computer Software
    • M1 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration

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