Journal of Aviation (JAV) established in 2017. It is a peer–reviewed international journal to be of interest and use to all those concerned with research in various fields of, or closely related to, Aviation science. Journal of Aviation (JAV) aims to provide a highly readable and valuable addition to the literature which will serve as an indispensable reference tool for years to come. The coverage of the journal includes all new theoretical and experimental findings in the fields of Aviation Science or any closely related fields. The journal also encourages the submission of critical review articles covering advances in recent research of such fields as well as technical notes. New MANUSCRIPT TEMPLATE
The language of the journal is English. The studies sent to JAV are made available for publication as a result of double blind peer review and editorial analysis.
Authors are fully responsible for studies published in the journal and all academic studies published in the journal are accessible to public and legal persons on condition of referencing.
2023 - Volume: 7 Issue: 2
Research Article
The Psychological Impact on Chinese Pilot Students During the Pandemic – The Lesson LearnedResearch Article
Analyzing Criteria Affecting Decision-Making Processes of Human Resource Management in the Aviation Sector - A Fuzzy Logic ApproachResearch Article
A Comprehensive Analysis of Society's Perspective on Urban Air MobilityResearch Article
The Relations Between Digitalization and Employee Satisfaction In AviationResearch Article
Bibliometric Analysis of Postgraduate Theses on Civil AviationResearch Article
Full-service carrier (FSC) vs low-cost carrier (LCC): Purchasing decision-making process of passengersResearch Article
The Impact of Aviation Management Students’ Fear of Missing Out (FoMO) Levels on Unemployment AnxietyResearch Article
Customised Holiday Experiences through Artificial Intelligence: Case Studies from the Aviation and Hospitality SectorsResearch Article
Strategic Decisions and Policies on Türkiye-Europe Air Cargo TransportResearch Article
Machine vs. Deep Learning for the UK air passenger short-term demand forecasting: A Destination Insight approachJournal of Aviation - JAV |
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