The economics of mobile payments: Understanding stakeholder issues for an emerging financial technology application

Yoris A. Au, Robert J. Kauffman
2008 Electronic Commerce Research and Applications  
The aim of this study is to develop the consumer adoption model of behavioral intention toward mobile wallet specifically for Y generation in Indonesia by extending UTAUT2 (Venkantesh et al., 2013). The overall model proposed could explained 61% variances of factors toward behavioral intention which considered as moderate (Chin, 2010). In addition, the model also showed good fit (SRMR = 0.06) as well as predictive relevance (Q 2 = 0.47). Eight out of Eleven Hypotheses were supported in this
more » ... y. Trust, Habit, Social Influence have been found as the most important factors, followed by Facilitating Conditions, Trialability, and Price Value. But, it should be noted that the effect size were found to be very small even for Trust as the strongest factor (0.07). In Contrast, The study found that Performance Expectancy, Effort Expectancy, Hedonic Motivation, Awareness, and Network Expectancy had no significant affeet on behavioral intention to use mobile wallet. In summary, Hypothesis H1, H2, H3, H4, H5, H7, H8, and H9 were supported, whereas H6, H10, and H11 were rejected. social influence, facilitating conditions, trialability, and price value were significantly affect on behavioral intention to use mobile wallet, the f 2 were very small (0.02 <= f 2 < 0.15) to none (f 2 < 0.02). Thus, There are many other factors that possibly have greater effect on behavioral intention. Hence, further research should explore different theoretical model such as TAM, IDT, TRA, or other adoption model to increase the variance as well as investigate higher f 2 . Combining two or more theoretical adoption model are welcomed as well as extending the theoretical adoption model with others construct.
doi:10.1016/j.elerap.2006.12.004 fatcat:22gx26ak5zhmdbvmuzg53o5s2m