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3414. Enhancing Decision-Making in Agricultural Policies: A Four-Step SWOT Protocol
Invited abstract in session TC-45: Integer Programming for Decision Support, stream Decision Support Systems.
Tuesday, 12:30-14:00Room: 30 (building: 324)
Authors (first author is the speaker)
1. | Janja Rudolf
|
Department of Agriculture, Biotechnical Faculty | |
2. | Andrej Udovč
|
agronomy, University of Ljubljana, Biotechnical Faculty |
Abstract
The protocol underwent rigorous testing in the agricultural sector, focusing on collective agri-environmental and climate schemes. While these initiatives hold potential (Pe'er et al., 2020), they often lack numeric data and standardized indicators, hindering comparisons (Rudolf in Udovč, 2022). Consequently, decision-makers face challenges in assessing their impact on the environment and public goods. The protocol consists of four steps. In first step, SWOT results from various case studies are gathered, focusing on factors that impact the same goal. These results are then grouped into common themes and subthemes using the Stirling method (2001), creating a hierarchical decision tree of attributes. In second step, analytical hierarchical process is used to calculate the weights of SWOT factors and attributes, incorporating input from multiple professionals. In third step, a customized form is created for decision-makers to list SWOT factors for their specific case, following the decision tree of attributes. This form is linked to a tailored transformative formula, converting qualitative SWOT analysis into quantitative values. Building on the SWOT scorecard technique (Rudolf and Udovč, 2022), this formula adjusts using the individual weights assigned to SWOT factors in step two. The fourth step arranges numeric codes into groups, representing levels on a Likert scale. These levels are recognized within a model, aiding in the evaluation of case studies.
Keywords
- Decision Analysis
- Analytic Hierarchy Process
- Sustainable Development
Status: accepted
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