Research on the Dynamic Evolution Mechanism of Airline Operation Support Capabilities in the Post-Pandemic Era

Authors

  • Wang Lei School of Economics and Management, Civil Aviation University of China, Tianjin, China Author
  • Hongwei Kuang School of Safety Science and Engineering, Civil Aviation University of China, Tianjin, China Author
  • Joel Jacob Kristu Jayanti College Autonomous, Bengaluru, India Author

Keywords:

Airlines , Operation support capability, Dynamic evolution mechanism, System dynamics, Operational support demands, Civil aviation

Abstract

To tackle the evolving dynamics of operational support capabilities for airlines in the post-pandemic landscape and to effectively improve these capabilities, a system dynamics model was devised to delineate the intricate interplay among internal factors affecting aviation operational support. This model acts as the groundwork for understanding the dynamic evolution of these capabilities. Following the model’s analysis and development, case studies from S Airlines were incorporated and tested, confirming that insufficient operational support capabilities restrict airline growth. Four investment plans designed to boost airline operational support were comparatively evaluated to ensure airlines can scale while accommodating new support requirements. VENSIM software was utilized to simulate and assess these models, selecting the investment strategy offering the greatest overall return to enhance operational support for airlines.

Published

2024-10-21

How to Cite

Research on the Dynamic Evolution Mechanism of Airline Operation Support Capabilities in the Post-Pandemic Era. (2024). Journal of Management Science and Operations, 2(3), 1-15. https://itip-submit.com/index.php/JMSO/article/view/JMSO-58-DOI-007.pdf