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Determinants of blockchain adoption in the aviation industry: Empirical evidence from Korea

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  • Li, Xue
  • Lai, Po-Lin
  • Yang, Ching-Chiao
  • Yuen, Kum Fai

Abstract

Recently, blockchain technology has gradually been used in the logistics and supply chain sector. However, research related to blockchain applications in aviation remains in its infancy. This research provides actionable insights into the determinants of blockchain adoption in the aviation industry. The technology acceptance model is applied to explain the aviation industry's intention to adopt blockchain technology for potential applications and future improvements. Six factors are developed by reviewing the literature. Moreover, a two-step structural equation modeling approach with confirmatory factor analysis is used to analyze the research data and test hypotheses in this study. Results reveal that tracking and tracing, digitalized management, air traffic management, regulatory governance and industry standards, and technological improvements and optimization on efficiency exert a positive influence on intention to use blockchain. Moreover, future improvements in regulatory governance and industry standards, and technological improvements and optimization on efficiency are demonstrated to enhance users' perceived usefulness in tracking and tracing, digitalized management, and air traffic management.

Suggested Citation

  • Li, Xue & Lai, Po-Lin & Yang, Ching-Chiao & Yuen, Kum Fai, 2021. "Determinants of blockchain adoption in the aviation industry: Empirical evidence from Korea," Journal of Air Transport Management, Elsevier, vol. 97(C).
    • Handle: RePEc:eee:jaitra:v:97:y:2021:i:c:s0969699721001216
    DOI: 10.1016/j.jairtraman.2021.102139
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    References listed on IDEAS

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    Cited by:

    1. Hamed Taherdoost, 2022. "A Critical Review of Blockchain Acceptance Models—Blockchain Technology Adoption Frameworks and Applications," Post-Print hal-03741851, HAL.
    2. Lavaei Adaryani, Rasool & Palouj, Mojtaba & Karbasioun, Mostafa & Asadi, Ali & Gholami, Hesamedin & Kianirad, Ali & Joodi Damirchi, Milad, 2024. "Antecedents of blockchain adoption in the poultry supply chain: An extended UTAUT model," Technological Forecasting and Social Change, Elsevier, vol. 202(C).
    3. Zheng, Shiyuan & Jiang, Changmin, 2024. "Consortium blockchain in Shipping: Impacts on industry and social welfare," Transportation Research Part A: Policy and Practice, Elsevier, vol. 183(C).

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