Evaluation of the metamodel
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The questionnaire used is provided in the original paper: Damaševičius, R., & Maskeliūnas, R. (2025). Enhancing Smart Forestry Through AI-Driven Knowledge Management: A Synergistic Approach to Efficiency and Sustainability. Journal of Sustainable Forestry, 44(1–5), 1–31. https://doi.org/10.1080/10549811.2025.2513220 All values were translated from Lithuanian language and free form expressions were standardized to ensure consistent semantic interpretation. Variables Role: Years of Experience: Organization Type: Used KM Metamodel: Ease of Use: Relevance to Forestry Tasks: Knowledge Retrieval Efficiency: Decision Support Effectiveness: Overall Satisfaction: Specific Benefits: Knowledge Base Improved Decision-Making: Specific Instance of Decision-Making: Suggestions for Improvement: Additional Features Desired: Enhanced Knowledge Sharing: Improved Data Management: Contributed to Sustainable Forestry: Would Recommend to Others: Additional Comments:
