The extended TAM model explains 42.3% of the variance in intention to use mobile library applications¶
Claim · All claims
Evidence · 1 study · associationalr2·q3
Currency · newest study 2020 · not yet checked against its sources · not reviewed by a person · overdue for a recheck since 2023: tool and model accuracy changes quickly
Subclaims¶
Reading the evidence codes
q is the design tier, i the impact, n the sample, and the kind with its r
the rigour judged within that kind: what each code means.
This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.
q3 i? The model explains 42.3% of the variance in behavioural intention to use MLA. → Rafique 2020
Evidence¶
Rafique 2020¶
Rafique, H., Almagrabi, A. O., Shamim, A., Anwar, F., & Bashir, A. K. (2020). Investigating the acceptance of mobile library applications with an extended technology acceptance model (TAM). Heliyon, 6(6), e03733. https://doi.org/10.1016/j.compedu.2019.103732
q3 · i? · associational · r2
The SEM analysis reports that "BI explained 42.3% variance, 39.8% variance by PEOU and 40.1% variance is explained by PU".
"This is evaluated through squared multiple correlations that BI explained 42.3% variance, 39.8% variance by PEOU and 40.1% variance is explained by PU."
Discussion¶
Related Claims¶
- Perceived usefulness and perceived ease of use are direct significant predictors of intention to use mobile library applications — related
- Perceived ease of use has a positive significant effect on perceived usefulness of mobile library applications — related
- Habit has a positive significant effect on perceived usefulness and perceived ease of use of mobile library applications — related
- System quality has a positive significant effect on perceived usefulness and perceived ease of use of mobile library applications — related
- Perceived usefulness, attitude, and behavioral intention form a significant TAM pathway predicting GenAI adoption among law students — related
- Attitude is the strongest predictor of behavioral intention for new users, while perceived usefulness is strongest for light, medium and heavy users — related
- Teachers' technology acceptance follows the TAM: perceived usefulness, perceived ease of use, and attitude toward technology predict technology integration, moderated by organizational, technological, and individual factors — a broader claim this one bears on
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