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From
Perspectives Relative to Mobile-Banking Adoption in the United Arab Emirates
Haroun Al Ryalat
American Journal of Information Systems
.
2017
, 5(1), 13-20 doi:10.12691/ajis-5-1-2
Table 1. Principal component loadings. MBA, mobile banking adoption; PEOU, perceived ease of use; PU, perceived usefulness; PT, perceived trust; CT, perceived cost; CR, perceived credibility
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Table 2. Frequency distribution and descriptive statistics of socio-demographic factors
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Table 3. Correlations between m-banking adoption and technology acceptance model constructs. TAM, technology acceptance model; MBA, mobile banking adoption; PEOU, perceived ease of use; PU, perceived usefulness; PT, perceived trust; CT, perceived cost; CR, perceived credibility
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Table 4. Model summary
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Table 5. ANOVA test
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Table 6. SEM model coefficient. TAM, technology acceptance model; MBA, mobile banking adoption; PEOU, perceived ease of use; PU, perceived usefulness; PT, perceived trust; CT, perceived cost; CR, perceived credibility
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Table 7. Filtered SEM model coefficients. PEOU, perceived ease of use; PU, perceived usefulness; PT, perceived trust; CR, perceived credibility; SES, social economic status; Sig, β, t
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Table 8. Summary of the Conducted Research
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