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Adaptive Management Procedural Model For Support Of Economic Organizations

Author

Listed:
  • Marin ANDREICA
  • Madalina Ecaterina POPESCU
  • Dragos MICU
  • Eugen ALBU

Abstract

The paper highlights the concerns of the authors from recent years and it is trying to respond to a series of new things that decision-makers face, under the pressure of the destabilizing factors in our economy. By analyzing the economic environment and its effects in the management plan, the authors propose a procedural model of assistance for adaptive management, for planning the work experienced at a company in the textile industry. Moreover, theoretical aspects are debated, in regards to adaptive and forecasting management, reaching the conclusion that these two concepts complete each other in the context of the frequent turmoil of the economic environment, and one can`t be without the other.

Suggested Citation

  • Marin ANDREICA & Madalina Ecaterina POPESCU & Dragos MICU & Eugen ALBU, 2016. "Adaptive Management Procedural Model For Support Of Economic Organizations," Proceedings of the INTERNATIONAL MANAGEMENT CONFERENCE, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 10(1), pages 295-301, November.
    • Handle: RePEc:rom:mancon:v:10:y:2016:i:1:p:295-301
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    References listed on IDEAS

    as
    1. Mădălina Ecaterina ANDREICA, 2013. "Early warning models of financial distress. Case study of the Romanian firms listed on RASDAQ," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania - AGER, vol. 0(5(582)), pages 7-14, May.
    2. repec:agr:journl:v:5(582):y:2013:i:5(582):p:7-14 is not listed on IDEAS
    3. Madalina Andreica, 2009. "Predicting Romanian Financial Distressed Companies," Advances in Economic and Financial Research - DOFIN Working Paper Series 37, Bucharest University of Economics, Center for Advanced Research in Finance and Banking - CARFIB.
    4. Andreica, Madalina Ecaterina & Andreica, Marin, 2014. "Forecast of Romanian Industry Employment using Simulation and Panel Data Models," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 130-140, June.
    Full references (including those not matched with items on IDEAS)

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