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

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.

• Record URL:
  https://doi.org/10.1016/j.jairtraman.2021.102139
• Record URL:
  http://www.sciencedirect.com/science/article/pii/S0969699721001216
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/oclc/31005945
• Supplemental Notes:
  • © 2021 Elsevier Ltd. All rights reserved. Abstract reprinted with permission of Elsevier.
• Authors:
  • Li, Xue
  • Lai, Po-Lin
  • 0000-0001-5940-864X
  • Yang, Ching-Chiao
  • Yuen, Kum Fai
• Publication Date: 2021-10

Language

• English

Media Info

• Media Type: Web
• Features: Figures; References; Tables;
• Serial:
  • Journal of Air Transport Management
  • Volume: 97
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 0969-6997
  • Serial URL: http://www.sciencedirect.com/science/journal/09696997

Subject/Index Terms

• TRT Terms: Air traffic control; Aviation; Blockchains; Regulation; Technological innovations
• Subject Areas: Administration and Management; Aviation;

Filing Info

• Accession Number: 01782469
• Record Type: Publication
• Files: TRIS
• Created Date: Sep 22 2021 12:04PM