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Article

Investigating Efficiency and Innovation: An Exploratory and Predictive Analysis of Smart Airport Systems

by
Angellie Williady
1,
Narariya Dita Handani
2,3,* and
Hak-Seon Kim
4,*
1
Department of Global Business, Kyungsung University, Busan 48434, Republic of Korea
2
School of Global Studies, Kyungsung University, Busan 48434, Republic of Korea
3
Department of Management, Faculty of Economics and Business, Universitas Wijaya Kusuma Surabaya, Surabaya 60225, Indonesia
4
School of Hospitality & Tourism Management, Kyungsung University, Busan 48434, Republic of Korea
*
Authors to whom correspondence should be addressed.
Digital 2024, 4(3), 599-612; https://doi.org/10.3390/digital4030030 (registering DOI)
Submission received: 9 April 2024 / Revised: 28 June 2024 / Accepted: 2 July 2024 / Published: 10 July 2024
(This article belongs to the Collection Digital Systems for Tourism)

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.
Keywords: smart airport; smart hospitality; predictive data analysis; sentiment analysis; top frequency smart airport; smart hospitality; predictive data analysis; sentiment analysis; top frequency

Share and Cite

MDPI and ACS Style

Williady, A.; Handani, N.D.; Kim, H.-S. Investigating Efficiency and Innovation: An Exploratory and Predictive Analysis of Smart Airport Systems. Digital 2024, 4, 599-612. https://doi.org/10.3390/digital4030030

AMA Style

Williady A, Handani ND, Kim H-S. Investigating Efficiency and Innovation: An Exploratory and Predictive Analysis of Smart Airport Systems. Digital. 2024; 4(3):599-612. https://doi.org/10.3390/digital4030030

Chicago/Turabian Style

Williady, Angellie, Narariya Dita Handani, and Hak-Seon Kim. 2024. "Investigating Efficiency and Innovation: An Exploratory and Predictive Analysis of Smart Airport Systems" Digital 4, no. 3: 599-612. https://doi.org/10.3390/digital4030030

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