Research Article

Analytical Comparison of Cabin Crew Performance According to Passenger Classes and Flight Range: IDOCRIW and CRADIS Methodologies

Volume: 10 Number: 1 February 27, 2026

Analytical Comparison of Cabin Crew Performance According to Passenger Classes and Flight Range: IDOCRIW and CRADIS Methodologies

Abstract

The cabin crew in air transport serves as the primary service unit that often interacts with passengers, significantly influencing the opinion of service quality. Assessing cabin crew performance is a multi-faceted decision-making challenge that necessitates consideration of various elements simultaneously, including safety awareness, service efficiency, hospitality, interpersonal contact, and responsiveness to demands. The significance of these parameters may vary based on the flight distance and passenger class. This study assesses the cabin crew service performance of the top 10 airlines recognized by Skytrax (2024) for having the "best cabin crew" using a multi-criteria decision-making approach. Skytrax formulated nine defined criteria and created four unique selection matrices for long-haul and short-haul, as well as economy and business class pairings. Criterion weights were determined objectively using IDOCRIW, which integrates the Entropy and CILOS approaches, while alternatives were ranked according to the CRADIS approach. The study reveals that the foremost factor influencing service quality delivered by cabin crew members in business class on both long-haul and short-haul flights is the prompt and efficient delivery of service. In economy class, the critical characteristics vary with flight distance: timely and effective responses to passenger inquiries are essential on long-haul flights, whereas consistent and standardized treatment among staff is more important on short-haul flights. Qatar Airways distinguished itself in the airline rankings by achieving the highest score in three specific flight categories, sharing the top position in long-haul economy class with ANA. Garuda Indonesia attained the premier rank in short-haul economy class. Malaysia Airlines ranked bottom in all situations. The results suggest that improvements in cabin crew service are not generally applicable; they must be customized according to priorities that vary dependent on flight distance and passenger class.

Keywords

References

  1. Asker, V. (2024). COVİD-19 salgınının katılım bankacılığı sektörüne etkisi: MEREC temelli CRADIS uygulaması. Anadolu Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 25(3), 144-166.
  2. Brady, M. K., & Cronin, J. J., Jr. (2001). Some new thoughts on conceptualizing perceived service quality: A hierarchical approach. Journal of Marketing, 65(3), 34–49.
  3. Chen, F.-Y., & Chang, Y.-H. (2005). Examining airline service quality from a process perspective. Journal of Air Transport Management, 11(2), 79–87.
  4. Farooq, M. S., Salam, M., Fayolle, A., Jaafar, N., & Ayupp, K. (2018). Impact of service quality on customer satisfaction in malaysia airlines: a PLS-SEM approach. Journal of Air Transport Management, 67, 169–180.
  5. Gilbert, D., & Wong, R. (2003). Passenger expectations and airline services: a hong kong-based study. Tourism Management, 24(5), 519–532.
  6. Grönroos, C. (1984). A service quality model and its marketing ımplications. European Journal of Marketing, 18(4), 36–44.
  7. Jameel, A. S. (2025). Service quality and customer satisfaction through AIRQUAL dimensions: an empiricalinvestigation on ıraqi airways. International Journal of Management Studies, 32(1), 1-18.
  8. Kahreman, Y. (2024). Türkiye’nin sürdürülebilir kalkınma ve alt boyut performanslarının LOPCOW-CRADIS yöntemi ile belirlenmesi. MANAS Sosyal Araştırmalar Dergisi, 13(4), 1411-1426.

Details

Primary Language

English

Subjects

Air Transportation and Freight Services

Journal Section

Research Article

Early Pub Date

February 27, 2026

Publication Date

February 27, 2026

Submission Date

January 6, 2026

Acceptance Date

February 24, 2026

Published in Issue

Year 2026 Volume: 10 Number: 1

APA
Ünlü, M., & Bebek Yeşilkaya, A. (2026). Analytical Comparison of Cabin Crew Performance According to Passenger Classes and Flight Range: IDOCRIW and CRADIS Methodologies. Journal of Aviation, 10(1), 190-196. https://doi.org/10.30518/jav.1857263
AMA
1.Ünlü M, Bebek Yeşilkaya A. Analytical Comparison of Cabin Crew Performance According to Passenger Classes and Flight Range: IDOCRIW and CRADIS Methodologies. JAV. 2026;10(1):190-196. doi:10.30518/jav.1857263
Chicago
Ünlü, Merve, and Adile Bebek Yeşilkaya. 2026. “Analytical Comparison of Cabin Crew Performance According to Passenger Classes and Flight Range: IDOCRIW and CRADIS Methodologies”. Journal of Aviation 10 (1): 190-96. https://doi.org/10.30518/jav.1857263.
EndNote
Ünlü M, Bebek Yeşilkaya A (February 1, 2026) Analytical Comparison of Cabin Crew Performance According to Passenger Classes and Flight Range: IDOCRIW and CRADIS Methodologies. Journal of Aviation 10 1 190–196.
IEEE
[1]M. Ünlü and A. Bebek Yeşilkaya, “Analytical Comparison of Cabin Crew Performance According to Passenger Classes and Flight Range: IDOCRIW and CRADIS Methodologies”, JAV, vol. 10, no. 1, pp. 190–196, Feb. 2026, doi: 10.30518/jav.1857263.
ISNAD
Ünlü, Merve - Bebek Yeşilkaya, Adile. “Analytical Comparison of Cabin Crew Performance According to Passenger Classes and Flight Range: IDOCRIW and CRADIS Methodologies”. Journal of Aviation 10/1 (February 1, 2026): 190-196. https://doi.org/10.30518/jav.1857263.
JAMA
1.Ünlü M, Bebek Yeşilkaya A. Analytical Comparison of Cabin Crew Performance According to Passenger Classes and Flight Range: IDOCRIW and CRADIS Methodologies. JAV. 2026;10:190–196.
MLA
Ünlü, Merve, and Adile Bebek Yeşilkaya. “Analytical Comparison of Cabin Crew Performance According to Passenger Classes and Flight Range: IDOCRIW and CRADIS Methodologies”. Journal of Aviation, vol. 10, no. 1, Feb. 2026, pp. 190-6, doi:10.30518/jav.1857263.
Vancouver
1.Merve Ünlü, Adile Bebek Yeşilkaya. Analytical Comparison of Cabin Crew Performance According to Passenger Classes and Flight Range: IDOCRIW and CRADIS Methodologies. JAV. 2026 Feb. 1;10(1):190-6. doi:10.30518/jav.1857263

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