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Have a Nice Flight! Understanding the Interplay Between Topics and Emotions in Reviews of Luxury Airlines in the Pre- and Post-Covid-19 Periods

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  • Masoud Shayganmehr

    (NEOMA Business School)

  • Indranil Bose

    (Indian Institute of Management Ahmedabad)

Abstract

Few studies assessed the impact of Covid-19 on the aviation industry from the passengers’ perspective. This study examined how airline passengers’ emotions (positive and negative) and sub-emotions (joy, trust, surprise, anticipation, fear, sadness, anger, and disgust) changed in the pre-and post-Covid-19 periods. 21,463 reviews from 2014–2022 of top 10 luxury airlines were extracted from Skytrax. Using the lens of the Appraisal Theory of Emotion, the analysis revealed an increase in negative emotion and related sub-emotions after the pandemic. Using topic modeling seven similar topics (namely food, staff, customer service, board, flight, crew, and luggage) and four dissimilar topics (entertainment and drink for pre-Covid-19 and wait and Covid-19 for post-Covid-19) were identified. Regression analysis showed that the topics food and entertainment generated significant positive emotion whereas wait and customer service generated significant negative emotion. The results would help the luxury airlines to identify offerings to improve during the recovery after Covid-19.

Suggested Citation

  • Masoud Shayganmehr & Indranil Bose, 2025. "Have a Nice Flight! Understanding the Interplay Between Topics and Emotions in Reviews of Luxury Airlines in the Pre- and Post-Covid-19 Periods," Information Systems Frontiers, Springer, vol. 27(2), pages 769-790, April.
    • Handle: RePEc:spr:infosf:v:27:y:2025:i:2:d:10.1007_s10796-023-10465-8
    DOI: 10.1007/s10796-023-10465-8
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    References listed on IDEAS

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    1. 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.
    2. Bharati Sanjay Ainapure & Reshma Nitin Pise & Prathiba Reddy & Bhargav Appasani & Avireni Srinivasulu & Mohammad S. Khan & Nicu Bizon, 2023. "Sentiment Analysis of COVID-19 Tweets Using Deep Learning and Lexicon-Based Approaches," Sustainability, MDPI, vol. 15(3), pages 1-21, January.
    3. Rahman, Farzana & Rahman, Md. Mahmudur, 2023. "Analyzing service quality of domestic airlines in an emerging country- Bangladesh by structural equation models," Journal of Air Transport Management, Elsevier, vol. 107(C).
    4. Rita, Paulo & Moro, Sérgio & Cavalcanti, Gabriel, 2022. "The impact of COVID-19 on tourism: Analysis of online reviews in the airlines sector," Journal of Air Transport Management, Elsevier, vol. 104(C).
    5. Maung, Yun Shwe Yee & Douglas, Ian & Tan, David, 2022. "Identifying the drivers of profitable airline growth," Transport Policy, Elsevier, vol. 115(C), pages 275-285.
    6. Peng Xie, 2022. "The Interplay Between Investor Activity on Virtual Investment Community and the Trading Dynamics: Evidence From the Bitcoin Market," Information Systems Frontiers, Springer, vol. 24(4), pages 1287-1303, August.
    7. Song, Cen & Guo, Jingquan & Zhuang, Jun, 2020. "Analyzing passengers’ emotions following flight delays- a 2011–2019 case study on SKYTRAX comments," Journal of Air Transport Management, Elsevier, vol. 89(C).
    8. Lina Zhou & Jie Tao & Dongsong Zhang, 2023. "Does Fake News in Different Languages Tell the Same Story? An Analysis of Multi-level Thematic and Emotional Characteristics of News about COVID-19," Information Systems Frontiers, Springer, vol. 25(2), pages 493-512, April.
    9. Ayat Zaki Ahmed & Manuel Rodríguez-Díaz, 2020. "Significant Labels in Sentiment Analysis of Online Customer Reviews of Airlines," Sustainability, MDPI, vol. 12(20), pages 1-18, October.
    10. Farzadnia, Siavash & Raeesi Vanani, Iman, 2022. "Identification of opinion trends using sentiment analysis of airlines passengers' reviews," Journal of Air Transport Management, Elsevier, vol. 103(C).
    11. Liqun Liu & Jingzhong Xie & Ke Li & Suhe Ji, 2020. "Exploring How Media Influence Preventive Behavior and Excessive Preventive Intention during the COVID-19 Pandemic in China," IJERPH, MDPI, vol. 17(21), pages 1-27, October.
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