Technology-Induced Unemployment Anxiety Among Undergraduate Students: A Case Study of Aviation Management

DOI

10.2991/978-94-6463-686-4_41How to use a DOI?

Keywords

Unemployment Anxiety; Technology Integration; Operational Efficiency

Abstract

Artificial intelligence technologies are increasingly attracting investment due to rising usage and demand. These technologies, now utilized by almost every sector, continue to proliferate in our daily lives. However, since the inception of AI, there have been periods dominated by divergent views on these technologies. Debates about the future of AI, especially, have led major investing countries to occasionally withdraw their investments, resulting in two significant periods known as the “AI Winters.” Despite their undeniable benefits in enhancing efficiency, reducing costs, and minimizing errors, AI technologies have also been associated with job losses. The aviation sector is no exception. AI is extensively applied in various areas of aviation, posing a potential threat to the number of jobs in certain roles. This has heightened the existing employment anxiety among students, exacerbated by the rapid advancements in AI technologies. The research indicates a prevalent belief that artificial intelligence poses a threat of unemployment for both those about to enter the workforce and those currently employed. However, when examining the perspective of the younger generation, who live in close proximity to technology, it is evident that they harbor significant anxiety about this issue. This study analyzed the technology induced unemployment fears of 235 Aviation Management students. Survey was conducted and the results were evaluated using the Technological Unemployment Anxiety Scale. The data was analyzed through T-tests, comparing the levels of anxiety between male and female students, as well as between those who have completed internships and those who have not.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Mustafa Kaya
AU  - Savaş S. Ateş
PY  - 2025
DA  - 2025/04/28
TI  - Technology-Induced Unemployment Anxiety Among Undergraduate Students: A Case Study of Aviation Management
BT  - Proceeding of the 10th International Conference on Lifelong Education and Leadership for ALL (ICLEL 2024)
PB  - Atlantis Press
SP  - 591
EP  - 603
SN  - 2667-128X
UR  - https://doi.org/10.2991/978-94-6463-686-4_41
DO  - 10.2991/978-94-6463-686-4_41
ID  - Kaya2025
ER  -