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Key drivers of passenger loyalty: A case of Frankfurt–Istanbul flights

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  • Calisir, Nese
  • Basak, Ecem
  • Calisir, Fethi

Abstract

This study aims to analyze the effects of factors such as image, satisfaction, price, and service quality on passenger loyalty toward full-service network carriers and low-cost carriers. A structural equation modeling approach was applied to identify the factors that significantly affect passenger loyalty. Using LISREL, data were collected from 237 passengers in face-to-face interviews in the baggage claim area of international arrivals at Ataturk International Airport in Turkey who traveled from Frankfurt to Istanbul and were used to test the proposed model. One hundred seventy-five out of these 237 questionnaires were considered as valid. The results indicate that 71% of the passenger loyalty is explained by image and image is explained by satisfaction. In addition, service quality and price are found to have positive effects on satisfaction. Compared with price, service quality is found to be a stronger determinant of satisfaction. This study concludes with the recommendations for managers and possible future research.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:jaitra:v:53:y:2016:i:c:p:211-217
    DOI: 10.1016/j.jairtraman.2016.03.002
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    References listed on IDEAS

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    Cited by:

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    2. Shen, Chao & Yahya, Yazkhiruni, 2021. "The impact of service quality and price on passengers' loyalty towards low-cost airlines: The Southeast Asia perspective," Journal of Air Transport Management, Elsevier, vol. 91(C).
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    5. Kattreeya Chanpariyavatevong & Warit Wipulanusat & Thanapong Champahom & Sajjakaj Jomnonkwao & Dissakoon Chonsalasin & Vatanavongs Ratanavaraha, 2021. "Predicting Airline Customer Loyalty by Integrating Structural Equation Modeling and Bayesian Networks," Sustainability, MDPI, vol. 13(13), pages 1-21, June.
    6. 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.
    7. Arief Kusuma Among Praja & Rian Adi Septiawan & Tantri Yanuar Rahmat Syah & Endah Murtiana Sari & Maya Puspita Dewi & Purwanto Sarjana Katijan & Tezara Cionita & Yin Ling Lai, 2023. "Sustainable Development Strategy of Low-Cost Airlines: Empirical Evidence for Indonesia Based on Analysis of Passenger Loyalty," Sustainability, MDPI, vol. 15(3), pages 1-12, January.
    8. Ahmad Saifalddin Abu-Alhaija & Hosni Shareif Hussein & Almothanna Jamil Abu Allan, 2019. "Relationship between Customer Satisfaction and Customer Loyalty: A Review and Future Directions of its Nature and Approaches," Eurasian Journal of Social Sciences, Eurasian Publications, vol. 7(4), pages 28-39.
    9. Bezerra, George C.L. & Gomes, Carlos F., 2020. "Antecedents and consequences of passenger satisfaction with the airport," Journal of Air Transport Management, Elsevier, vol. 83(C).
    10. 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).
    11. Nadire Cavus & Yakubu Bala Mohammed & Mohammed Nasiru Yakubu, 2021. "An Artificial Intelligence-Based Model for Prediction of Parameters Affecting Sustainable Growth of Mobile Banking Apps," Sustainability, MDPI, vol. 13(11), pages 1-21, May.
    12. Nijolė Batarlienė & Neringa Slavinskaitė, 2023. "Assessment of Factors Determining Airline Consumer Loyalty: Case Study in Lithuania," Sustainability, MDPI, vol. 15(2), pages 1-15, January.
    13. Li, Lingyao & Mao, Yujie & Wang, Yu & Ma, Zihui, 2022. "How has airport service quality changed in the context of COVID-19: A data-driven crowdsourcing approach based on sentiment analysis," Journal of Air Transport Management, Elsevier, vol. 105(C).
    14. Ayat Zaki Ahmed & Manuel Rodríguez Díaz, 2022. "A Methodology for Machine-Learning Content Analysis to Define the Key Labels in the Titles of Online Customer Reviews with the Rating Evaluation," Sustainability, MDPI, vol. 14(15), pages 1-31, July.
    15. Ku, Edward C.S., 2022. "Developing business process agility: Evidence from inter-organizational information systems of airlines and travel agencies," Journal of Air Transport Management, Elsevier, vol. 103(C).
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