# Understanding Consumer Acceptance for Blockchain-Based Digital Payment Systems in Bhutan
## 6 Discussion  
### Interpretation of Results  
This paper provides an in-depth analysis of the factors that impact consumer acceptance of blockchain-based digital payments in Bhutan. Both the structural model and the statistical data in Table 5 support the relevance and robustness of the connections between the constructs PE, EE, SI, FC, and ACC.  
The most significant construct was PE, which had a path coefficient of 0.337, a T-statistic of 5.426 and a \(p\)-value of 0.000. This finding aligns with the acceptance model, where utility, such as transaction speed, security, and operational efficiency, is seen as a primary motivator of technology adoption. The importance of PE highlights the fact that consumers tend to adopt blockchain-based digital payment systems when they see the real benefits. This is consistent with research around the world that focuses on perceived usefulness as a key factor in adoption [42; 53]. The second significant predictor was EE (path coefficient: 0.204, T-statistic: 3.087, \(p=0.002\)). The notion of perceived ease of use is particularly important in contexts with varying levels of digital literacy. In line with UTUAT, EE affirms that intuitive design and usability help foster adoption. This highlights the importance of making blockchain solutions accessible and user-friendly in Bhutan. FCs also have an impact, with a path coefficient of 0.220, a T statistic of 4.104, and a \(p\)-value of 0.000. This finding highlights the importance of enabling infrastructure, including Internet access, devices, and technical support, to help break down adoption barriers. Continuing the UTAUT model, FC stresses that it is vital to create the conditions for blockchain technology to be incorporated into Bhutan's digital payment ecosystem, especially in rural locations where infrastructure issues remain. Solutions such as offline transaction verification and hybrid systems that sync transactions once online can help overcome such challenges. SI, while smaller than the other constructs, was nonetheless statistically significant with a path coefficient of 0.192, a T statistic of 4.286, and a \(p\)-value of 0.000. Peer recommendations, culture, and approvals from a trusted individual or organization are particularly critical. In Bhutan's collectivist culture, where communal and family values play a key role in the choices we make, SI helps inform consumers about blockchain technology. This finding builds on previous research on cultural and social influences on the use of technology in collectivist societies. These findings reveal that the structural model in Figure 2 is robust and consistent, with all constructs reaching statistical significance (T \(>\) 1.96, \(p<0.05\)), as seen in Table 6. PE was the most predictive construct of blockchain adoption, showing that perceived utility was the dominant construct when it came to making consumer decisions. EE and FC focus on intuitive design and infrastructure, while SI echoes Bhutan's cultural variations in adoption practices. The results confirm the potential of the UTAUT models in the realm of blockchain-based digital payment systems. All these observations set the path for stakeholders to prioritize perceived value, usability, and infrastructure to drive blockchain adoption in Bhutan. Stakeholders can ensure the acceptance of blockchaintechnology in the country's digital payment ecosystem and ensure that consumers embrace it more broadly.