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Accounting Knowledge In Forestry'S Decision Support Systems. Literature Review



    () (“Alexandru I. Cuza” University of Iasi, Romania)


Accounting information, processed through modern type of decision support systems, in appropriate economic analysis framework, using previous experience, gives extra knowledge to forestry managers. In our paper, we conducted a literature review, in the field of decision support systems used in international forestry, but also about the Romanian prospects and achievements in this area. Our results are useful to researchers and developers of decision support intelligent solutions, to forestry accounting researchers and forestry managers in order to be aware of new discoveries in the field, to managerial accounting researchers interested in using economic models for decision support tools development. Our study reveals that these systems were, at first, designed to solve relatively simple management problems. Nowadays, modern systems have to cope with increasingly more challenges of adaptive management and sustainability requirements. To achieve optimal results such systems must be designed like integrative solutions and need to include accounting information and accounting knowledge. The efforts of Romanian practitioners and researchers to improve internally used decision making solution, and to improve the forestry management are notable. However, in the Romanian computer-based decision support solutions framework, account information is not synthesized, it is not complete and does not store a stock of knowledge to provide assistance to the manager at any time.

Suggested Citation

  • Daniela I. POSTOLACHE (MALES), 2010. "Accounting Knowledge In Forestry'S Decision Support Systems. Literature Review," The Annals of the "Stefan cel Mare" University of Suceava. Fascicle of The Faculty of Economics and Public Administration, "Stefan cel Mare" University of Suceava, Romania, Faculty of Economics and Public Administration, vol. 10(Special), pages 315-324, December.
  • Handle: RePEc:scm:ausvfe:v:10:y:2010:i:special:p:315-324

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