Effort expectancy and facilitating conditions negatively predict behavioral intention, contradicting conventional UTAUT assumptions in studio-based creative education¶
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Evidence · 1 study · associationalr1·q3
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person
Subclaims¶
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This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.
q3 i? Effort expectancy (β = −0.317, p = 0.038) and facilitating conditions (β = −0.200, p = 0.028) showed significant negative associations with behavioral intention, contradicting H2 and H4a. → Liu Y 2026
Evidence¶
Liu Y 2026¶
Liu Y, Meng M and Zhang Y (2026) The competence paradox: negotiating ease, risk, and creative identity in text-to-image generative AI use among art and design students. Front. Psychol. 17:1858187. https://doi.org/10.3389/fpsyg.2026.1858187
q3 · i? · associational · r1
Latent-variable SEM of the 400-student survey. The article reports these negative paths as contradicting H2 and H4a and says the results "are consistent with the concern raised in Study 1 that operational ease and available support may not necessarily lead to deeper engagement".
"Contrary to conventional UTAUT assumptions, EE (β =− 0.317, SE = 0.153, p = 0.038) and FC (β =− 0.200, SE= 0.091, p = 0.028) showed significant negative associations with BI."
Discussion¶
Related Claims¶
- Performance expectancy, effort expectancy, social influence and facilitating conditions predict vocational students' LMS acceptance, with performance expectancy the most influential — related
- Adding mobile user typology to the UTAUT predictors renders effort expectancy non-significant, suggesting the typology accounts for ease of use — related
- Attitude, facilitating conditions, and social influence correlate most strongly with behavioral intention, while perceived ease of use correlates weakest — related
- The competence paradox: creative competence positively supports intention but shows a significant negative direct effect on actual use behavior — related
- Cross-correlation analysis confirms performance expectancy has the highest correlation with LMS acceptance (.890), followed by effort expectancy (.835), facilitating conditions (.774) and social influence (.669) — related
- Performance expectancy, social influence, novelty value, and creative competence positively predict art and design students' behavioral intention to use T2I GenAI tools — related
- ARCS motivation showed the strongest correlations in the matrix with both behavioral intention and use behavior — related
- Facilitating conditions showed an asymmetric pattern: no significant effect on behavioral intention but a significant positive effect on use behavior — reports the opposite
- Performance expectancy, effort expectancy, and social influence positively predict behavioral intention to use ChatGPT among Lesotho higher education students — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
ee-fc-negative-predict-bi-t2i |
title |
Effort expectancy and facilitating conditions negatively predict behavioral intention, contradicting conventional UTAUT assumptions in studio-based creative education |
description |
Effort expectancy and facilitating conditions negatively predict behavioral intention, contradicting conventional UTAUT assumptions in studio-based creative education |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2026 |
generated |
by process:wiki-ingest on 2026-10-11 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — liu-y-2026 |
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