ScholarWorks@숙명여자대학교

초록

Blockchain technology is rapidly emerging as one of the leading-edge technologies with various advantages that are highly applicable in various sectors. However, such benefits of blockchain also involve security and privacy concerns and could thus hinder the use of technology. Existing studies have made considerable efforts to understand the main aspects of blockchain adoption and acceptance using various theoretical models. However, studies considering users' privacy and security concerns are considerably more scarce. To fill this important gap, we analyze factors influencing users' intention to use blockchain regarding privacy and security concerns by bridging two theories, namely protection motivation theory (PMT) and task-technology fit (TTF) theory. Using survey data from 306 blockchain users in China, we employed structural equation modeling to empirically test our hypotheses. Results show that TTF positively impacts users' invulnerability and self-efficacy, leading to blockchain transparency and increasing users' intention to use the blockchain. This study provides useful theoretical and practical implications by suggesting that the relationship between TTF and PMT can serve as a theoretical background for adopting blockchain, and TTF can help business managers manage users' security and privacy concerns.

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