AI in airport operations: enhancing competitiveness and satisfaction

被引：1
|
作者：
Chiang, Chao-Hung [1 ]
机构：
[1] Natl Penghu Univ Sci & Technol, Dept Shipping & Transportat Management, ROC 300,Liu He Rd, Magong 880, Penghu, Taiwan
来源：
ENTERPRISE INFORMATION SYSTEMS | 2025年
关键词：
Artificial intelligence; machine learning; automation technology; airport; competitiveness;
D O I：
10.1080/17517575.2025.2454003
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
During COVID-19, airports adopted biometric technologies, RFID for baggage tracking, and AI like smart check-in to minimise contact and enhance efficiency. AI also addresses infrastructure limitations and enhances competitiveness. Most studies focus on improving traveller experiences and operations, with limited research on gaps between traveller and operator preferences. This study bridges that gap using DEMATEL and VIKOR methods, revealing that travellers prioritise convenience and real-time information. By contrast, experts value predictive capabilities. Findings suggest that aligning AI-driven predictive technologies with traveller needs can boost satisfaction and efficiency, offering a win-win solution and strategic guidance for competitive airport operations.
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页数：20
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