Unpacking the dual-path trust mechanism driving students' continuance intention toward campus GenAI: a hybrid SEM-machine learning approach within the S-O-R framework.
- DOI
- 10.3389/fpsyg.2026.1903629
- Published
- 2026
- Container
- Frontiers in psychology
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.3389/fpsyg.2026.1903629,
title = {Unpacking the dual-path trust mechanism driving students' continuance intention toward campus GenAI: a hybrid SEM-machine learning approach within the S-O-R framework.},
author = {Li B and Yu T},
year = {2026},
journal = {Frontiers in psychology},
doi = {10.3389/fpsyg.2026.1903629},
url = {https://doi.org/10.3389/fpsyg.2026.1903629}
}RIS
TY - JOUR TI - Unpacking the dual-path trust mechanism driving students' continuance intention toward campus GenAI: a hybrid SEM-machine learning approach within the S-O-R framework. AU - Li B AU - Yu T PY - 2026 JO - Frontiers in psychology DO - 10.3389/fpsyg.2026.1903629 UR - https://doi.org/10.3389/fpsyg.2026.1903629 ER -
APA
B, L., & T, Y. (2026). Unpacking the dual-path trust mechanism driving students' continuance intention toward campus GenAI: a hybrid SEM-machine learning approach within the S-O-R framework.. Frontiers in psychology. https://doi.org/10.3389/fpsyg.2026.1903629
Source records
- pubmed · retrieved 2026-09-25T18:13:20.331Z