IDEAS home Printed from https://ideas.repec.org/a/bhx/ojjbsm/v9y2024i5p83-103id2285.html
   My bibliography  Save this article

AI and Blockchain Integration in Business Aviation: Securing Supply Chain and Enhancing Traceability

Author

Listed:
  • Victor Mgbachi

Abstract

Purpose: The research looks at how AI converges with the blockchain technology in business aviation to better the domains considered most important: maintenance, operations, flight optimization, and observation of regulatory standards. This is aimed at understanding how these technologies bring solutions that will mitigate the specific challenges to aviation related to the security of supply chains, fraud detection, and customer experience improvement. Methodology: The research adopts a qualitative and quantitative approach, reviewing case studies from leading aviation companies such as Airbus and Boeing, alongside real-world data analysis. The integration of AI for predictive maintenance, flight optimization, and in-flight entertainment (IFE) was examined, while blockchain’s role in securing data management, regulatory compliance, and fraud prevention was assessed through documented applications and industry reports. Findings: The identification of predictive maintenance, as ensured through AI, optimizes aircraft performance, having reduced downtime. Moreover, blockchain increases supply chain transparency and security, reduces fraud, and ensures immutable records. On top of that, AI-powered flight planning and in-flight operations significantly help in operational efficiency and customer satisfaction. Moreover, blockchain helps in compliance with regulations because of its secured and traceable data; hence, it serves as a very viable tool in aviation operations. Unique Contribution to Theory, Policy, and Practice: This research contributes to the theory of AI and blockchain integration by presenting a comprehensive framework for their application in aviation. It provides new insights into how AI and blockchain can not only enhance operational efficiency but also address fraud and compliance issues, which are pivotal for policy development. Practically, it offers aviation companies a roadmap for leveraging these technologies to secure their supply chains, optimize operations, and enhance customer experiences, ultimately advancing the entire industry.

Suggested Citation

  • Victor Mgbachi, 2024. "AI and Blockchain Integration in Business Aviation: Securing Supply Chain and Enhancing Traceability," Journal of Business and Strategic Management, CARI Journals Limited, vol. 9(5), pages 83-103.
  • Handle: RePEc:bhx:ojjbsm:v:9:y:2024:i:5:p:83-103:id:2285
    as

    Download full text from publisher

    File URL: https://carijournals.org/journals/index.php/JBSM/article/view/2285/2692
    Download Restriction: no
    ---><---

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bhx:ojjbsm:v:9:y:2024:i:5:p:83-103:id:2285. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chief Editor (email available below). General contact details of provider: https://www.carijournals.org/journals/index.php/JBSM/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.