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Research Article

Determinants of blockchain technology adoption in small and medium hospitality and tourism enterprises

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Published online: 10 Apr 2024
 

ABSTRACT

This study examines the determinants of blockchain technology adoption in small and medium hospitality and tourism enterprises. This study also investigates the moderating effect of technology optimism. Results from a sample of 550 enterprises indicate that technological factors (i.e., relative advantage and compatibility), organizational factors (i.e., top management support, organizational readiness, and employee blockchain technology knowledge), and environmental factors (i.e., competitive pressure, customer pressure, and government support) positively affect intention to adopt blockchain technology. These relationships are moderated by technology optimism. Interestingly, perceived complexity and adoption cost are insignificant determinants of blockchain technology adoption. This study contributes to the literature by explaining the underlying mechanism and boundary conditions (i.e., managers’ technology optimism) under which technological, organizational, and environmental factors predict the adoption of blockchain technology among small and medium hospitality and tourism enterprises. Moreover, the findings provide implications for hospitality and tourism managers in adopting and implementing blockchain technologies.

摘要

本研究考察了中小型酒店和旅游企业采用区块链技术的决定因素. 本研究还考察了技术乐观主义的调节作用. 来自550家企业样本的结果表明,技术因素(即相对优势和兼容性)、组织因素(即最高管理层支持、组织准备情况和员工区块链技术知识)和环境因素(即竞争压力、客户压力和政府支持)正影响采用区块链技术的意愿. 这些关系受到技术乐观主义的调节. 有趣的是,感知的复杂性和采用成本是区块链技术采用的微不足道的决定因素. 本研究通过解释技术、组织和环境因素预测中小型酒店和旅游企业采用区块链技术的潜在机制和边界条件(即管理者的技术乐观主义),为文献做出了贡献. 此外,研究结果为酒店和旅游管理者采用和实施区块链技术提供了启示.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Data availability statement

The data that support the findings of this study are available from the corresponding author upon reasonable request.

Informed consent

All participants gave their informed consent for inclusion before participating in the study.

Additional information

Funding

This research is supported by the University of Economics, The University of Danang, Vietnam (DUE) and the University of Economics Ho Chi Minh City, Vietnam (UEH).

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