Determinants of blockchain adoption in the aviation industry: Empirical evidence from Korea |
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| Affiliation: | 1. School of Civil and Environmental Engineering, Nanyang Technological University, Singapore;2. Department of International Logistics, Chung-Ang University, Seoul, South Korea;3. Department of Shipping and Transportation Management, National Kaohsiung University of Science and Technology, Kaohsiung, Taiwan;1. Singapore Institute of Technology, Singapore;2. University of Northern Iowa, United States;3. UQ Business School, The University of Queensland, St. Lucia Campus, Australia;1. Department of Electrical Engineering & Computer Science, Khalifa University, Abu Dhabi, United Arab Emirates;2. Department of Industrial & Systems Engineering, Khalifa University, Abu Dhabi, United Arab Emirates;1. Department of Law, University of Naples "Parthenope", via G. Parisi, no. 13, 80132, Naples, Italy;2. Department of Sport Sciences and Wellbeing, University of Naples "Parthenope", via Medina, no. 40, 80133, Naples, Italy;1. Research Centre for Smarter Supply Chain, Dongwu Business School, Soochow University, Suzhou, Jiangsu Province, People’s Republic of China;2. Southampton Business School, University of Southampton, Southampton S017 1BJ, United Kingdom;3. Portsmouth Business School, University of Portsmouth, United Kingdom |
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| 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. |
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| Keywords: | Blockchain Aviation Air transport Technology acceptance model Adoption behavior |
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