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Text mining approach to explore dimensions of airline customer satisfaction using online customer reviews

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  • Lucini, Filipe R.
  • Tonetto, Leandro M.
  • Fogliatto, Flavio S.
  • Anzanello, Michel J.

Abstract

The airline industry operates in a highly competitive market, in which achieving and maintaining a high level of passenger satisfaction is seen as a key competitive advantage. This study presents a novel framework for measuring customer satisfaction in the airline industry. Using text mining methods we explore Online Customer Reviews (OCRs) to provide guidelines for airlines companies to improve in competitiveness. We analyze a database of more than 55,000 OCRs, covering over 400 airlines and passengers from 170 countries. Using a Latent Dirichlet Allocation model we identified 27 dimensions of satisfaction described by 882 adjectives. Dimensions and adjectives were used to predict airline recommendation by customers, resulting in an accuracy of 79.95%. The most relevant dimensions for airlines' recommendation prediction were calculated. OCRs were stratified according to several variables. Of those, type of passenger impacted the least on the number of dimensions of customer satisfaction, while type of cabin flown impacted the most. Observing results in different publication years we showed airline customer trends through time. Our method showed sensitiveness to identify variations in dimensions distribution according to different passenger characteristics and preferences. Practical implications are that airline service providers aiming at maximizing customer satisfaction should focus their efforts on (i) customer service to first class passengers, (ii) comfort to premium economy passengers, and (iii) checking luggage and waiting time to economy class travelers. Regression analysis revealed cabin staff, onboard service and value for money as top three dimensions of satisfaction to predict the recommendation of airlines. Designing services that excel in those dimensions is likely to improve the company's performance with customers.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:jaitra:v:83:y:2020:i:c:s0969699719302959
    DOI: 10.1016/j.jairtraman.2019.101760
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    References listed on IDEAS

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    1. Forgas, Santiago & Moliner, Miguel A. & Sánchez, Javier & Palau, Ramon, 2010. "Antecedents of airline passenger loyalty: Low-cost versus traditional airlines," Journal of Air Transport Management, Elsevier, vol. 16(4), pages 229-233.
    2. 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.
    3. Ali, Faizan & Kim, Woo Gon & Ryu, Kisang, 2016. "The effect of physical environment on passenger delight and satisfaction: Moderating effect of national identity," Tourism Management, Elsevier, vol. 57(C), pages 213-224.
    4. Sparks, Beverley A. & So, Kevin Kam Fung & Bradley, Graham L., 2016. "Responding to negative online reviews: The effects of hotel responses on customer inferences of trust and concern," Tourism Management, Elsevier, vol. 53(C), pages 74-85.
    5. Liou, James J.H. & Hsu, Chao-Che & Yeh, Wen-Chien & Lin, Rong-Ho, 2011. "Using a modified grey relation method for improving airline service quality," Tourism Management, Elsevier, vol. 32(6), pages 1381-1388.
    6. 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.
    7. Calisir, Nese & Basak, Ecem & Calisir, Fethi, 2016. "Key drivers of passenger loyalty: A case of Frankfurt–Istanbul flights," Journal of Air Transport Management, Elsevier, vol. 53(C), pages 211-217.
    8. 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.
    9. Abbie Griffin & John R. Hauser, 1993. "The Voice of the Customer," Marketing Science, INFORMS, vol. 12(1), pages 1-27.
    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. Felbermayr, Armin & Nanopoulos, Alexandros, 2016. "The Role of Emotions for the Perceived Usefulness in Online Customer Reviews," Journal of Interactive Marketing, Elsevier, vol. 36(C), pages 60-76.
    12. Guo, Yue & Barnes, Stuart J. & Jia, Qiong, 2017. "Mining meaning from online ratings and reviews: Tourist satisfaction analysis using latent dirichlet allocation," Tourism Management, Elsevier, vol. 59(C), pages 467-483.
    13. Dolnicar, Sara & Grabler, Klaus & Grün, Bettina & Kulnig, Anna, 2011. "Key drivers of airline loyalty," Tourism Management, Elsevier, vol. 32(5), pages 1020-1026.
    14. Basfirinci, Cigdem & Mitra, Amitava, 2015. "A cross cultural investigation of airlines service quality through integration of Servqual and the Kano model," Journal of Air Transport Management, Elsevier, vol. 42(C), pages 239-248.
    15. Zhang, Xin & Jeske, Daniel R. & Li, Jun & Wong, Vance, 2016. "A sequential logistic regression classifier based on mixed effects with applications to longitudinal data," Computational Statistics & Data Analysis, Elsevier, vol. 94(C), pages 238-249.
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