Smart Innovation in Baggage Handling: Evidence from Dubai International Airport

As global air traffic intensifies, airport baggage-handling systems (BHSs) are required to deliver high throughput, reliability, and service quality under increasing operational constraints. While technologies such as automation, radio-frequency identification (RFID), and digital twins are widely implemented, limited empirical work examines how their operational effectiveness is realized within complex airport systems. This study evaluates the relationship between perceived technological effectiveness and key BHS performance outcomes at Dubai International Airport (DXB), including processing efficiency, throughput, baggage loss reduction, and workforce response. A structured survey of operational staff ([Formula: see text]) was analyzed using descriptive statistics, correlation analysis, and regression modeling. The results indicate strong associations between technological effectiveness and operational performance, particularly for processing speed ([Formula: see text]) and baggage loss reduction ([Formula: see text]). However, multivariate analysis indicates that employee satisfaction is more strongly associated with perceived operational outcomes than with perceived technological innovation itself, suggesting that workforce evaluations are more closely aligned with observable system-level performance improvements. These findings provide an operational evaluation of technology-enabled BHS performance in a high-capacity hub and highlight the importance of aligning digital system deployment with measurable efficiency gains. While limited by reliance on perception-based data and a single case study, the results offer insights for performance-driven design and management of airport logistics systems.

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Publication Details

Journal
Journal of Air Transportation
Published
2026-06-27
DOI
https://doi.org/10.2514/1.d0612
Primary Topic
Aviation Industry Analysis and Trends
Type
article
Field-Weighted Citation Impact
0.00
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article

Smart Innovation in Baggage Handling: Evidence from Dubai International Airport

Ahlam Alzoubi, Alireza Daneshkhah, Omar Chafic
Journal of Air Transportation
Aviation Industry Analysis and Trends
article

Smart Innovation in Baggage Handling: Evidence from Dubai International Airport

Ahlam Alzoubi, Alireza Daneshkhah, Omar Chafic
article en

Abstract

As global air traffic intensifies, airport baggage-handling systems (BHSs) are required to deliver high throughput, reliability, and service quality under increasing operational constraints. While technologies such as automation, radio-frequency identification (RFID), and digital twins are widely implemented, limited empirical work examines how their operational effectiveness is realized within complex airport systems. This study evaluates the relationship between perceived technological effectiveness and key BHS performance outcomes at Dubai International Airport (DXB), including processing efficiency, throughput, baggage loss reduction, and workforce response. A structured survey of operational staff ([Formula: see text]) was analyzed using descriptive statistics, correlation analysis, and regression modeling. The results indicate strong associations between technological effectiveness and operational performance, particularly for processing speed ([Formula: see text]) and baggage loss reduction ([Formula: see text]). However, multivariate analysis indicates that employee satisfaction is more strongly associated with perceived operational outcomes than with perceived technological innovation itself, suggesting that workforce evaluations are more closely aligned with observable system-level performance improvements. These findings provide an operational evaluation of technology-enabled BHS performance in a high-capacity hub and highlight the importance of aligning digital system deployment with measurable efficiency gains. While limited by reliance on perception-based data and a single case study, the results offer insights for performance-driven design and management of airport logistics systems.

Journal of Air Transportation
Emirates Aviation University (AE)
Industry, innovation and infrastructure
Openalex Percentile: Top 3%
Aviation Industry Analysis and Trends
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