Case Study on Environmental Scanning
Completion requirements
This case study shows how environmental scanning is applied to Egyptian wheat crop production. Note the use of different techniques to deal with the uncertainty of the various environmental factors in producing and marketing wheat crops.
5. Concluding Remarks and Future Work
- The developed IESA deals with creating an efficient large scale participation network. It provides the policy/decision makers for reducing uncertainty and complexity and improving the quality of future decision making. Different knowledge-based methods (E-RT-Delphi, SWOT, PESTEL, Explanation, and ontology building) integrated with model-based methods (MICMASC) to help for building and managing knowledge repositories for environmental scanning process.
- We applied the developed framework and its represented web-tool to help policy/maker for addressing the major future drivers in the Egyptian Wheat crop production during the next 13 years.
- Our future work could be extended by integrating the proposed approach with the interval based/fuzzy based TIA to anticipate future impacts of the major drivers. Also, data-mining techniques can be used as powerful tools for automated ontology building.