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Predicting airline passengers’ loyalty using artificial neural network theory

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  • Singh, Balgopal

Abstract

The study explores a model for predicting airline loyalty using the antecedents indicated in previous studies. Data was collected using a questionnaire distributed to 614 domestic air passengers using the snowball sampling method. The measurement tool had 16 scale items constructed on the recommendations of previous studies. Passenger satisfaction, airline service quality, passenger perceived value, and airline image are identified as determinants for airline loyalty. The predictive analytical approach of Artificial Neural Network theory and covariance-based Structural Equation Modelling for determining causality is employed in the study. The artificial neural network model predicts airline loyalty with 89% accuracy. Sensitivity analysis suggests passenger satisfaction as the most significant predictor of airline loyalty. The causal study supports that passenger satisfaction mediates the relationship between airline service quality and airline loyalty.

Suggested Citation

  • Singh, Balgopal, 2021. "Predicting airline passengers’ loyalty using artificial neural network theory," Journal of Air Transport Management, Elsevier, vol. 94(C).
    • Handle: RePEc:eee:jaitra:v:94:y:2021:i:c:s0969699721000636
    DOI: 10.1016/j.jairtraman.2021.102080
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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. Rajaguru, Rajesh, 2016. "Role of value for money and service quality on behavioural intention: A study of full service and low cost airlines," Journal of Air Transport Management, Elsevier, vol. 53(C), pages 114-122.
    3. 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.
    4. Rico Merkert & James Pearson, 2015. "A Non-parametric Efficiency Measure Incorporating Perceived Airline Service Levels and Profitability," Journal of Transport Economics and Policy, University of Bath, vol. 49(2), pages 261-275, April.
    5. Hussain, Rahim & Al Nasser, Amjad & Hussain, Yomna K., 2015. "Service quality and customer satisfaction of a UAE-based airline: An empirical investigation," Journal of Air Transport Management, Elsevier, vol. 42(C), pages 167-175.
    6. Gary Howat & Guy Assaker, 2013. "The hierarchical effects of perceived quality on perceived value, satisfaction, and loyalty: Empirical results from public, outdoor aquatic centres in Australia," Sport Management Review, Taylor & Francis Journals, vol. 16(3), pages 268-284, July.
    7. Inga Laukaityte & Marie Wiberg, 2017. "Using plausible values in secondary analysis in large-scale assessments," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 46(22), pages 11341-11357, November.
    8. Chen, Lu & Li, Yong-Quan & Liu, Chih-Hsing, 2019. "How airline service quality determines the quantity of repurchase intention - Mediate and moderate effects of brand quality and perceived value," Journal of Air Transport Management, Elsevier, vol. 75(C), pages 185-197.
    9. 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.
    10. Yang, Keng-Chieh & Hsieh, Tsui-Chuan & Li, Hendrik & Yang, Chyan, 2012. "Assessing how service quality, airline image and customer value affect the intentions of passengers regarding low cost carriers," Journal of Air Transport Management, Elsevier, vol. 20(C), pages 52-53.
    11. Park, Jin-Woo, 2007. "Passenger perceptions of service quality: Korean and Australian case studies," Journal of Air Transport Management, Elsevier, vol. 13(4), pages 238-242.
    12. Alok Kumar Singh, 2015. "Modeling passengers’ future behavioral intentions in airline industry using SEM," Journal of Advances in Management Research, Emerald Group Publishing Limited, vol. 12(2), pages 107-127, August.
    13. Lee, C.K.M. & Ng, K.K.H. & Chan, Hing Kai & Choy, K.L. & Tai, W.C. & Choi, L.S., 2018. "A multi-group analysis of social media engagement and loyalty constructs between full-service and low-cost carriers in Hong Kong," Journal of Air Transport Management, Elsevier, vol. 73(C), pages 46-57.
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    Cited by:

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    2. Leon, Steven & Dixon, Sonoma, 2023. "Airline satisfaction and loyalty: Assessing the influence of personality, trust and service quality," Journal of Air Transport Management, Elsevier, vol. 113(C).

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