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A Managerial Early Warning System for the Sustainable Knowledge Based Organization

Author

Listed:
  • Leon Ramona – Diana

    (The Faculty of Economics and Business Administration, Alexandru Ioan Cuza University of Iasi)

Abstract

The article aims to highlight the main characteristics of a managerial early warning system which is designed especially for the sustainable knowledge based organization. In order to achieve our goal we used an ethical approach and focus on case study as the research strategy. Based on the results of a documentary study and in-depth interviews, we have selected three sustainable knowledge based organizations from the business environment from Iasi and Madrid. For each of them, we have conceived, tested and validated a managerial early warning system, based on an artificial neural network. The results have showed that the artificial neural network, on which the system is based on, must include at least 28 factors. As a consequence, it has theoretical and managerial implications. On the one hand, it proposes a new strategic instrument. On the other hand, it highlights the most important elements that are influencing firm’s profitability.

Suggested Citation

  • Leon Ramona – Diana, 2013. "A Managerial Early Warning System for the Sustainable Knowledge Based Organization," Ovidius University Annals, Economic Sciences Series, Ovidius University of Constantza, Faculty of Economic Sciences, vol. 0(1), pages 842-847, May.
  • Handle: RePEc:ovi:oviste:v:xii:y:2012:i:1:p:842-847
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    More about this item

    Keywords

    strategy; artificial neural network; sustainable knowledge based organization; early warning system.;
    All these keywords.

    JEL classification:

    • L21 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Business Objectives of the Firm
    • M1 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration
    • M14 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Corporate Culture; Diversity; Social Responsibility

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