IDEAS home Printed from https://ideas.repec.org/a/eee/jaitra/v120y2024ics0969699724001200.html
   My bibliography  Save this article

Evaluating airline service quality through a comprehensive text-mining and multi-criteria decision-making analysis

Author

Listed:
  • Xie, Haotian
  • Li, Yi
  • Pu, Yang
  • Zhang, Chen
  • Huang, Junlin

Abstract

Service quality is of paramount importance for the long-term sustainability of the airline industry, which is characterized by intense competition. However, previous research in this field has frequently been limited by shortcomings in sample size, efficiency, and dependability. This study addresses these deficiencies by introducing refined insights and establishing a comprehensive yet highly elucidative ranking framework. Initially, we employ Latent Semantic Analysis (LSA) to distill principal themes and sentiments from online reviews of 80 airlines. Subsequently, we employ the SentiWordNet lexicon and the TextBlob package for sentiment analysis based on the aforementioned reviews. Following this, we construct a hierarchical structure using the computation of compromise solutions, employing an integrated Technique for Order Preference by Similarity to Ideal Solution, vis-Ã -vis Kriterijumska Optimizacija I Kompromisno Resenje-Adversarial Interpretive Structural Model (TOPSIS-VIKOR-AISM) methodology. Finally, the ranking of airlines from best to worst based on perceptions gained from online reviews provides an immediate visualization solution. This study not only assists consumers in making informed decisions but also provides airlines with insights that can be used to enhance their service offerings. The study presents novel insights into the assessment of service quality, with potential applicability to the airline industry and beyond.

Suggested Citation

  • Xie, Haotian & Li, Yi & Pu, Yang & Zhang, Chen & Huang, Junlin, 2024. "Evaluating airline service quality through a comprehensive text-mining and multi-criteria decision-making analysis," Journal of Air Transport Management, Elsevier, vol. 120(C).
    • Handle: RePEc:eee:jaitra:v:120:y:2024:i:c:s0969699724001200
    DOI: 10.1016/j.jairtraman.2024.102655
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0969699724001200
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.jairtraman.2024.102655?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Adnan Muhammad Shah & Xiangbin Yan & Samia Tariq & Salim Khan, 2021. "Listening to the patient voice: using a sentic computing model to evaluate physicians’ healthcare service quality for strategic planning in hospitals," Quality & Quantity: International Journal of Methodology, Springer, vol. 55(1), pages 173-201, February.
    2. Jiang, Hongwei & Zhang, Yahua, 2016. "An investigation of service quality, customer satisfaction and loyalty in China's airline market," Journal of Air Transport Management, Elsevier, vol. 57(C), pages 80-88.
    3. Aaryan Gupta & Vinya Dengre & Hamza Abubakar Kheruwala & Manan Shah, 2020. "Comprehensive review of text-mining applications in finance," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 6(1), pages 1-25, December.
    4. Liou, James J.H. & Tzeng, Gwo-Hshiung, 2007. "A non-additive model for evaluating airline service quality," Journal of Air Transport Management, Elsevier, vol. 13(3), pages 131-138.
    5. Aralbayeva Shadiyar & Hyun-Jeong Ban & Hak-Seon Kim, 2020. "Extracting Key Drivers of Air Passenger’s Experience and Satisfaction through Online Review Analysis," Sustainability, MDPI, vol. 12(21), pages 1-20, November.
    6. Dražen Prelec & H. Sebastian Seung & John McCoy, 2017. "A solution to the single-question crowd wisdom problem," Nature, Nature, vol. 541(7638), pages 532-535, January.
    7. Chen, Ching-Fu, 2008. "Investigating structural relationships between service quality, perceived value, satisfaction, and behavioral intentions for air passengers: Evidence from Taiwan," Transportation Research Part A: Policy and Practice, Elsevier, vol. 42(4), pages 709-717, May.
    8. Haghighat, Navid, 2017. "Airline service quality evaluation: A review on concepts and models," Economics, Management and Sustainability, "SciView.Net" Scientific Platform, issue 2, pages 31-47.
    9. Meng Zhao & Xinyuan Shen & Huchang Liao & Mingyao Cai, 2022. "Selecting products through text reviews: An MCDM method incorporating personalized heuristic judgments in the prospect theory," Fuzzy Optimization and Decision Making, Springer, vol. 21(1), pages 21-44, March.
    10. Park, Jin-Woo & Robertson, Rodger & Wu, Cheng-Lung, 2004. "The effect of airline service quality on passengers’ behavioural intentions: a Korean case study," Journal of Air Transport Management, Elsevier, vol. 10(6), pages 435-439.
    11. Sezgen, Eren & Mason, Keith J. & Mayer, Robert, 2019. "Voice of airline passenger: A text mining approach to understand customer satisfaction," Journal of Air Transport Management, Elsevier, vol. 77(C), pages 65-74.
    12. Hu, Kai-Chieh & Hsiao, Man-Wei, 2016. "Quality risk assessment model for airline services concerning Taiwanese airlines," Journal of Air Transport Management, Elsevier, vol. 53(C), pages 177-185.
    13. Rajat K. Baisya & R. Sarkar, 2004. "Customer satisfaction in the service sector: a case study of the airline industry," Journal of Advances in Management Research, Emerald Group Publishing Limited, vol. 1(2), pages 73-79, January.
    14. Chen, Fang-Yuan & Chang, Yu-Hern, 2005. "Examining airline service quality from a process perspective," Journal of Air Transport Management, Elsevier, vol. 11(2), pages 79-87.
    15. Opricovic, Serafim & Tzeng, Gwo-Hshiung, 2004. "Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS," European Journal of Operational Research, Elsevier, vol. 156(2), pages 445-455, July.
    16. Pal Singh, Satender & Adhikari, Arnab & Majumdar, Adrija & Bisi, Arnab, 2022. "Does service quality influence operational and financial performance of third party logistics service providers? A mixed multi criteria decision making -text mining-based investigation," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 157(C).
    17. Debashree Das & Avik Datta & Patanjal Kumar & Yigit Kazancoglu & Mangey Ram, 2022. "Building supply chain resilience in the era of COVID-19: An AHP-DEMATEL approach," Operations Management Research, Springer, vol. 15(1), pages 249-267, June.
    18. Lucini, Filipe R. & Tonetto, Leandro M. & Fogliatto, Flavio S. & Anzanello, Michel J., 2020. "Text mining approach to explore dimensions of airline customer satisfaction using online customer reviews," Journal of Air Transport Management, Elsevier, vol. 83(C).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Bellizzi, Maria Grazia & dell’Olio, Luigi & Eboli, Laura & Mazzulla, Gabriella, 2021. "Detecting passengers' heterogeneity on airlines’ services using SP data," Journal of Air Transport Management, Elsevier, vol. 96(C).
    2. Chandra Mahapatra, Subas & Bellamkonda, Raja Shekhar, 2023. "Higher expectations of passengers do really sense: Development and validation a multiple scale-FliQual for air transport service quality," Journal of Retailing and Consumer Services, Elsevier, vol. 70(C).
    3. Juan de Oña & Rocio de Oña, 2015. "Quality of Service in Public Transport Based on Customer Satisfaction Surveys: A Review and Assessment of Methodological Approaches," Transportation Science, INFORMS, vol. 49(3), pages 605-622, August.
    4. Maria Grazia Bellizzi & Luigi dell’Olio & Laura Eboli & Carmen Forciniti & Gabriella Mazzulla, 2020. "Passengers’ Expectations on Airlines’ Services: Design of a Stated Preference Survey and Preliminary Outcomes," Sustainability, MDPI, vol. 12(11), pages 1-14, June.
    5. Li, Wenhua & Yu, Suihuai & Pei, Huining & Zhao, Chuan & Tian, Baozhen, 2017. "A hybrid approach based on fuzzy AHP and 2-tuple fuzzy linguistic method for evaluation in-flight service quality," Journal of Air Transport Management, Elsevier, vol. 60(C), pages 49-64.
    6. Shah, Faisal Tehseen & Syed, Zaineb & Imam, Abeer & Raza, Aiman, 2020. "The impact of airline service quality on passengers’ behavioral intentions using passenger satisfaction as a mediator," Journal of Air Transport Management, Elsevier, vol. 85(C).
    7. Ko, Young Dae & Kwag, Sung Il & Oh, Yonghui, 2020. "An efficient airline seat reallocation algorithm considering customer dissatisfaction," Journal of Air Transport Management, Elsevier, vol. 85(C).
    8. Tahanisaz, Sahar & shokuhyar, Sajjad, 2020. "Evaluation of passenger satisfaction with service quality: A consecutive method applied to the airline industry," Journal of Air Transport Management, Elsevier, vol. 83(C).
    9. Deveci, Muhammet & Özcan, Ender & John, Robert & Öner, Sultan Ceren, 2018. "Interval type-2 hesitant fuzzy set method for improving the service quality of domestic airlines in Turkey," Journal of Air Transport Management, Elsevier, vol. 69(C), pages 83-98.
    10. Chen, I-Shuo, 2016. "A combined MCDM model based on DEMATEL and ANP for the selection of airline service quality improvement criteria: A study based on the Taiwanese airline industry," Journal of Air Transport Management, Elsevier, vol. 57(C), pages 7-18.
    11. Kuo Cheng Chung & Paul Juinn Bing Tan, 2022. "Options to Improve Service Quality to Enhance Value Co-Creation for Customers in the Aviation Industry in Taiwan," SAGE Open, , vol. 12(1), pages 21582440221, March.
    12. Samanci, Simge & Didem Atalay, Kumru & Bahar Isin, Feride, 2021. "Focusing on the big picture while observing the concerns of both managers and passengers in the post-covid era," Journal of Air Transport Management, Elsevier, vol. 90(C).
    13. Gupta, Himanshu, 2018. "Evaluating service quality of airline industry using hybrid best worst method and VIKOR," Journal of Air Transport Management, Elsevier, vol. 68(C), pages 35-47.
    14. Tsafarakis, Stelios & Kokotas, Theodosios & Pantouvakis, Angelos, 2018. "A multiple criteria approach for airline passenger satisfaction measurement and service quality improvement," Journal of Air Transport Management, Elsevier, vol. 68(C), pages 61-75.
    15. Bellizzi, Maria Grazia & Eboli, Laura & Mazzulla, Gabriella & Postorino, Maria Nadia, 2022. "Classification trees for analysing highly educated people satisfaction with airlines’ services," Transport Policy, Elsevier, vol. 116(C), pages 199-211.
    16. Myungsook An & Chongho Lee & Yonghwi Noh, 2010. "Risk factors at the travel destination: their impact on air travel satisfaction and repurchase intention," Service Business, Springer;Pan-Pacific Business Association, vol. 4(2), pages 155-166, June.
    17. Yalcin Kavus, Bahar & Gulum Tas, Pelin & Ayyildiz, Ertugrul & Taskin, Alev, 2022. "A three-level framework to evaluate airline service quality based on interval valued neutrosophic AHP considering the new dimensions," Journal of Air Transport Management, Elsevier, vol. 99(C).
    18. Jun Hwan Kim & Hyun Cheol Lee, 2019. "Understanding the Repurchase Intention of Premium Economy Passengers Using an Extended Theory of Planned Behavior," Sustainability, MDPI, vol. 11(11), pages 1-19, June.
    19. Liou, James J.H. & Yen, Leon & Tzeng, Gwo-Hshiung, 2010. "Using decision rules to achieve mass customization of airline services," European Journal of Operational Research, Elsevier, vol. 205(3), pages 680-686, September.
    20. Lucini, Filipe R. & Tonetto, Leandro M. & Fogliatto, Flavio S. & Anzanello, Michel J., 2020. "Text mining approach to explore dimensions of airline customer satisfaction using online customer reviews," Journal of Air Transport Management, Elsevier, vol. 83(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:jaitra:v:120:y:2024:i:c:s0969699724001200. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/journal-of-air-transport-management/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.