Knowledge, attitudes, and practices of forestry professionals towards artificial intelligence (AI)
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Typically, individuals acquire new knowledge that shapes their attitudes, which subsequently influence their behavioral actions.
“Typically, individuals acquire new knowledge that shapes their attitudes, which subsequently influence their behavioral actions (Ritter et al., 2025).”
From A two-step structural equation modeling and explainable machine learning framework for understanding university students’ adoption of generative AI: balancing intrinsic motivations and perceived risks (2026) · cites this paper as Ritter et al., 2025
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- Authors
- Ritter, L., Andrew Uhey, D., & Saxena, A.
- Affiliations
- Northern Arizona University (US)
- Corresponding author
- Ritter, Luke
- ORCID
- Saxena, Alark
- Venue
- Forest Policy and Economics
- Publisher
- Elsevier BV
- Published
- 2025-10
- Volume
- 179
- Pages
- 103626
- ISSN
- 1389-9341 (ISSN-L)
- OpenAlex
- W7081922453
- Cited by
- 7
- References
- 22
- Citations by year
- 2026: 7
- FWCI
- 5.08
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Forest Policy and Economics (publishedVersion)
- Topics
- Social Sciences › Safety Research › Ethics and Social Impacts of AI
- Physical Sciences › Computer Science › Artificial Intelligence › Artificial Intelligence Applications
- Physical Sciences › Environmental Science › Global and Planetary Change › Forest Management and Policy
- Keywords
- artificial intelligence, forestry professionals, knowledge, attitudes and practices, artificial intelligence adoption, AI ethics, layoffs, human-centered AI, AI policy, natural resource management, intersectoral collaboration
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