Airport service performance at Abu Dhabi International Airport
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Author(s)Mohamed Y AlHammadi , Mansour Almheiri ,Aminurraasyid YatibanLink to ORCID Index: https://orcid.org/0000-0002-7357-0798
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Rabiul IslamLink to ORCID Index: https://orcid.org/0000-0002-9840-8754
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Sabina SultanaLink to ORCID Index: https://orcid.org/0009-0002-8105-8310
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DOIhttp://dx.doi.org/10.21511/ppm.21(2).2023.48
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Article InfoVolume 21 2023, Issue #2, pp. 517-530
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Creative Commons Attribution 4.0 International License
To acquire a significant footing in today’s competitive airport environments, enhancing airport service performance for passengers is essential. This study aims to investigate the relationship between queuing time, prime services, security screening, and service performance at Abu Dhabi International Airport in the United Arab Emirates (UAE). A quantitative methodology was employed. The sample size for the PLS-SEM analysis and the passengers’ airport service performance was determined to be 230 respondents. The results revealed a significant relationship between queuing time, prime services, security screening, and airport service performance. The findings also demonstrated a significant positive relationship between queuing time and airport service performance (β = 0.193, t = 3.564, p ≤ 0.000), a significant positive relationship between prime services and airport service performance (β = 0.478, t = 9.225, p ≤ 0.000), and a significant positive relationship between security screening and airport service performance (β= 0.227, t = 4.196, p ≤ 0.000). The outcomes are anticipated to support Abu Dhabi International Airport management in making efficient processes to augment airport service accomplishment for passengers from UAE and different countries.
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- Keywords
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JEL Classification (Paper profile tab)L84, M16
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References63
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Tables8
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Figures4
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- Figure 1. Conceptual framework
- Figure 2. Path model assessment
- Figure 3. Measurement model
- Figure 4. Structural model
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- Table 1. Descriptive analysis of constructs
- Table 2. Loadings, reliability, and convergent validity values
- Table 3. Cross loadings
- Table 4. Structural model assessment using the connection between the model’s direct pathways, t-values, and p-values
- Table A1. Queuing time scale
- Table А2. Prime services scale
- Table А3. Security screening scale
- Table A4. Airport service performance scale
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