Based on the empirical research results, the author provides some important<br>implications for theory. First, the author adapted UTAUT is determined by three<br>constructs including performance expectancy, social influence and facilitating<br>conditions. The author found performance expectancy and social influence are<br>accepted, while rejected facilitating conditions. This results are similarity with<br>previous study of Queiroz & Wamba (2019), who found out the role of performance<br>expectancy, social influence and facilitating conditions in UTAUT in the case of<br>developing economy (the USA) while reject the role of facilitating conditions in<br>emerging economy (India). Moreover, this findings are similarity with the recent41<br>research of Kurfalı et al. (2017) who mentioned that performance expectancy and<br>social influence had an influence on users’ intetion to adopt e-goverment services in<br>Turkey. Thus, the author reshaped the structure of UTAUT including performance<br>expectancy and social influence in emerging country (as in Vietnam). Through this<br>research, the author provides the importance of performance expectancy and social<br>influence in new technology acceptance in order to improve organizations’<br>efficiency and productivity. This results fulfill for previous stuidies (Alalwan et al.,<br>2017; Kurfalı et al., 2017; and Martins et al., 2014) and showed constract with<br>intention to adopt literature (Venkatesh et al., 2003). Second, PR theory which<br>determined by two construct, including privacy risk and monetary risk, is adapted<br>in this research. The author examined that both privacy risk and monetary risk are<br>accpeted, which indicated that this study has a similarity result with previous study<br>of Lee (2009), who mentioned PR influences one’s intention to use technology.<br>Therefore, the author provide further evidence that PR, including privacy risk and<br>monetary risk, which have an influence on intetion to use technology. Third, in<br>previous study, blockchain transparency had a non-significant influence on users’<br>intetion to adopt blockchain technlogy (Queiroz & Wamba, 2019), whereas in this<br>study context the author accepted blockchain transparency factor has influence on<br>behaivoral intention. Therefore, the author has deepen research to bridge a gap on<br>research result regarding blockchain transparency as a predictor of behavior<br>intention to adopt blockchain technology. Fourth, TTB is formed by three constructs<br>including functionality, realiability and helpfulness. The current findings<br>demonstrate functionality is accepted, while reliability and helpfulness are rejected.<br>This result, however, is different to previous study of Miller and Evgenieva (2015),<br>who mentioned both reliability and helpfulness are accepted, only one functionality<br>is rejected. Thus, the author presents blockchain functionality as an important factor<br>influence on one’s behavior intention to adopt blockchain technology. Lastly, the<br>kết quả cho thấy intetion hành vi được chấp nhận để có ảnh hưởng đến việc sử dụng thực tế <br>hành vi. Phát hiện nghiên cứu như của phù hợp với nghiên cứu trước đó của Venkatest et al. <br>(2003), tác giả xác nhận rằng ý định hành vi có ảnh hưởng trực tiếp đến thực tế <br>hành vi sử dụng.
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