Empowering the adoption of blockchain-based cryptocurrency as a payment method: A user-friendly educational approach

IET Blockchain Pub Date : 2025-01-28 DOI:10.1049/blc2.70002
Ahmed Alrehaili, Martin White, Natalia Beloff
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Abstract

Organizations are adopting technological innovations to transform payment systems due to challenges with traditional methods, such as slow speed and high fees. These challenges have prompted a shift towards blockchain-based cryptocurrencies. However, cryptocurrency adoption for payments remains limited, especially in Saudi Arabia. This study adapts the technology acceptance model to explore cryptocurrency adoption through the blockchain-based cryptocurrency as a payment method in Saudi Arabia (BCAP-SA) model. Factors within the model are assessed using an experimental vignette-task methodology and surveys. A key component is an educational package, offering comprehensive materials to explain blockchain technology. The findings confirm the reliability of surveys. Most model factors are statistically significant in influencing users’ intention to use cryptocurrency. The study finds that perceived ease of use, perceived usefulness, and perceived trust significantly impact participants’ intentions. Additionally, low transaction fees and age are the most influential factors on the technology acceptance model's core constructs. Statistical analysis indicates that decentralization and anonymity were insignificant and thus excluded from the revised BCAP-SA model. These findings highlight the potential to enhance cryptocurrency adoption in Saudi Arabia. The study's insights can guide strategies to promote wider cryptocurrency usage in the region.

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授权采用基于区块链的加密货币作为支付方式:一种用户友好的教育方法
由于传统支付方式面临速度慢、费用高等挑战,组织正在采用技术创新来改变支付系统。这些挑战促使人们转向基于区块链的加密货币。然而,加密货币在支付中的应用仍然有限,尤其是在沙特阿拉伯。本研究采用技术接受模型,通过基于区块链的加密货币作为沙特阿拉伯(BCAP-SA)模型的支付方式来探索加密货币的采用。模型内的因素使用实验小任务方法和调查进行评估。一个关键的组成部分是一个教育包,提供全面的材料来解释区块链技术。这些发现证实了调查的可靠性。大多数模型因素在影响用户使用加密货币的意愿方面具有统计学意义。研究发现,感知易用性、感知有用性和感知信任显著影响参与者的意图。此外,低交易费用和年龄是影响技术接受模型核心结构的最重要因素。统计分析表明,去中心化和匿名性不显著,因此被排除在修订的BCAP-SA模型之外。这些发现凸显了在沙特阿拉伯加强加密货币采用的潜力。该研究的见解可以指导促进该地区更广泛使用加密货币的策略。
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