Exploring factors and customer perceptions of airport services: A quantitative textual analysis

Mohammad Sayed Noor, Narariya Dita Handani

Article ID: 2485
Vol 5, Issue 1, 2024
DOI: https://doi.org/10.54517/st.v5i1.2485
Received: 11 January 2024; Accepted: 26 January 2024; Available online: 19 March 2024; Issue release: 30 June 2024

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Abstract

This study conducted an analysis of 1500 user generated content from Google Travel to examine the factors influencing airport services and customer perceptions. Quantitative textual analysis is employed to extract meaningful insights. Our findings highlighted the most frequently used words in airport user generated content, reflecting critical aspects of airport experiences such as the airport itself, the quality of service, and international travel. A cluster analysis revealed five distinct clusters, representing flight operations, location, views, customer feelings, and intangible services. A co-occurrence network analysis showed strong correlations among keywords associated with positive experiences, underscoring the importance of service quality and infrastructure in customer satisfaction. Furthermore, through topic modeling, we categorized words into five distinct groups: airport flights, ground services, international services, customer experience, and location. The practical implications of this study are substantial. The insights can help airport management identify strengths and areas needing improvement, ultimately enhancing customer satisfaction and the overall airport experience.

Keywords

Dhaka; Hazrat Shahjalal International Airport; HSIA; Bangladesh; service quality; topic modeling; cluster analysis; co-occurrence analysis; KH-Coder


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