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Predictive analytics in aviation management

Research Output:
Chapter in Book/Report/Conference proceeding
Conference contribution
 Peer-review

Abstract

The aviation industry has undergone significant changes driven by technological advancements and changing consumer demands (Joseph 2023). One area that has seen notable growth is Predictive Analytics (PA), which involves using historical information to determine trends and forecast future occurrences (IBM 2022). Predictive analytics has become increasingly important in the aviation industry and is driven by the need to improve safety, make better decisions and improve passenger satisfaction and experience (RTS Labs 2023). As data plays an increasingly integral role in the industry, predictive analytics will become even more prevalent. The Aviation industry faces several issues, including flight delays and cancellations, unscheduled maintenance and repair, inefficient fuel consumption and passenger dissatisfaction (Awasthi 2018). This paper aims to select a digital technology to enhance the operations of the aviation industry and improve the passenger experience. The chosen digital technology is Predictive Analytics (PA). Following this, the identification of Strategic Information Systems (SIS) opportunities and their impacts will be discussed, considering competitive edge feasibility, risks, and challenges to implementing the chosen technology. Following the analysis, a recommendation will be proposed to implement the PA technology or maintain current operations (Laudon and Laudon 2018).

Publication Information

Output type

Research Output:
Chapter in Book/Report/Conference proceeding
Conference contribution
 Peer-review

Original language

English

Pages from-to (Number of pages)

Pages 401-406 (6 pages)

Publication milestones

  • Published - 25/02/2024

Publication status

Published - 25/02/2024

Publisher

Springer, Japan, India, Australia, Germany, United States, United Arab Emirates, Austria, Switzerland, Italy, China, United Kingdom, Netherlands, Brazil, France, Singapore

Publication series

  • Publication series name: Lecture Notes in Electrical Engineering
    ISSN (Print): 1876-1100
    ISSN (Electronic): 1876-1119
    Volume: 1154 LNEE

ISBN (Print)

9789819706648

Publication IDs

  • handle.net: 10547/626841
  • Scopus: 85187786487

Host publication title

Advanced Manufacturing and Automation XIII

Host publication editors

  • Yi Wang
  • Tao Yu
  • Kesheng Wang

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