Evaluation of the metamodel

The questionnaire used is provided in the original paper: Enhancing Smart Forestry through AI-Driven Knowledge Management: A Synergistic Approach to Efficiency and Sustainability to be published in Journal of Sustainable Forestry.

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: