Summary of the measurement model statistics
| Construct | Items | Factor loadings | AVE, CR, and α |
|---|---|---|---|
| Performance expectancy and facilitating conditions | Mobile payment is useful to save time | 0.833 | AVE = 0.76 CR = 0.77 α = 0.72 |
| Mobile payment would enable me to conduct tasks (financial transfer, shopping) more easily | 0.854 | ||
| Mobile payment would increase my productivity | 0.792 | ||
| Mobile payment would improve my work performance | 0.800 | ||
| I have the resources necessary to use mobile payment | 0.867 | ||
| I have the knowledge necessary to use mobile payment | 0.816 | ||
| Mobile payment is compatible with other systems I use | 0.704 | ||
| Social influence | Celebrities can influence my behaviour in using mobile payment | 0.748 | AVE = 0.74 CR = 0.81 α = 0.70 |
| Family members can influence my behaviour in using mobile payment | 0.832 | ||
| Friends/colleagues can influence my behaviour in using mobile payment | 0.800 | ||
| Perceived technology security | I feel completely secure operating with mobile payment | 0.769 | AVE = 0.62 CR = 0.78 α = 0.69 |
| Mobile payment is a secure means for sharing sensitive information | 0.795 | ||
| My safety concerns are only with mobile payments | 0.835 | ||
| Hedonic motivation | Using mobile payment is fun | 0.762 | AVE = 0.58 CR = 0.81 α = 0.71 |
| Depending on cash for payment is stressful | 0.728 | ||
| Adoption of mobile payment | I have been using mobile payment methods for some time now | 0.899 | AVE = 0.72 CR = 0.88 α = 0.72 |
| I am likely to increase the use of mobile payment in my life | 0.924 | ||
| I always recommend to others to use mobile payments | 0.922 |
| Construct | Items | Factor loadings | AVE, CR, and |
|---|---|---|---|
| Performance expectancy and facilitating conditions | Mobile payment is useful to save time | 0.833 | AVE = 0.76 |
| Mobile payment would enable me to conduct tasks (financial transfer, shopping) more easily | 0.854 | ||
| Mobile payment would increase my productivity | 0.792 | ||
| Mobile payment would improve my work performance | 0.800 | ||
| I have the resources necessary to use mobile payment | 0.867 | ||
| I have the knowledge necessary to use mobile payment | 0.816 | ||
| Mobile payment is compatible with other systems I use | 0.704 | ||
| Social influence | Celebrities can influence my behaviour in using mobile payment | 0.748 | AVE = 0.74 CR = 0.81 |
| Family members can influence my behaviour in using mobile payment | 0.832 | ||
| Friends/colleagues can influence my behaviour in using mobile payment | 0.800 | ||
| Perceived technology security | I feel completely secure operating with mobile payment | 0.769 | AVE = 0.62 |
| Mobile payment is a secure means for sharing sensitive information | 0.795 | ||
| My safety concerns are only with mobile payments | 0.835 | ||
| Hedonic motivation | Using mobile payment is fun | 0.762 | AVE = 0.58 CR = 0.81 |
| Depending on cash for payment is stressful | 0.728 | ||
| Adoption of mobile payment | I have been using mobile payment methods for some time now | 0.899 | AVE = 0.72 CR = 0.88 |
| I am likely to increase the use of mobile payment in my life | 0.924 | ||
| I always recommend to others to use mobile payments | 0.922 |
Note(s): Fit indices χ2 (485) = 465.37, (p < 0.01), CFI = 0.97, GFI = 0.91, NFI = 0.92, TLI = 0.98, RMSEA = 0.032, SRMR = 0.03; FL, factor loading; AVE, average variance extracted; CR, composite reliability; α, Cronbach's alpha; χ2, Chi-square; CFI, comparative fit index; GFI, goodness-of-fit index; NFI, normed fit index; TLI, Tucker–Lewis index; RMSEA, root mean square error of approximation; SRMR, standardized root mean residual
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