journal article
Open Access
Jul 10, 2024
Investigating Efficiency and Innovation: An Exploratory and Predictive Analysis of Smart Airport Systems
Abstract
By exploring the top three airports in Asia, this study explores the area of smart airport systems. With the goal of analyzing the significant elements of airport services that captivate travelers’ attention through online reviews and establishing a correlation between sentiment in reviews and numerical ratings given by travelers, the study analyzes what captivates travelers’ attention. Data mining, frequency analysis, sentiment analysis, and linear regression are employed in this study in order to analyze a dataset of 10,202 online reviews. The results indicate that the most common attributes of airport services significantly impact customer satisfaction, as well as how the sentiment expressed in online reviews correlates with the numerical ratings. A significant contribution of this study lies in its contribution to understanding the dynamics of customer satisfaction in the field of airport services as well as in identifying areas for improvement that could enhance the overall traveler experience in the burgeoning field of smart airports. In the context of smart airport systems, the analysis of exploratory and predictive data provides valuable insights into the optimization of airport operations, thus enriching the body of knowledge in this rapidly evolving area and providing the foundation for future research.
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Showing 50 of 66 references
Metrics
6
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66
References
Details
- Published
- Jul 10, 2024
- Vol/Issue
- 4(3)
- Pages
- 599-612
- License
- View
Authors
Funding
Ministry of Trade, Industry, and Energy, Korea, under the “World Class Plus Program
Award: R&D, P0020673
Cite This Article
Angellie Williady, Narariya Dita Handani, Hak-Seon Kim (2024). Investigating Efficiency and Innovation: An Exploratory and Predictive Analysis of Smart Airport Systems. Digital, 4(3), 599-612. https://doi.org/10.3390/digital4030030
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