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Evaluating effective criteria on customer satisfaction using the best-worst method and optimizing resource allocation, case study Iran aseman airlines

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  • Dehnavi, Morteza Narimani
  • Yazdian, Seyed Ahmad
  • Sadjadi, Seyed Jafar

Abstract

Today airlines have a special place in passenger transport. Iran Aseman Airlines (IAA)is one of the top airlines in Iran that has been able to occupy a significant share of the Iranian aviation market in recent years. In addition to this company, there are other powerful companies that have forced IAA to update the services and improve the quality of services provided to increase customer satisfaction in the existing competitive environment. There is an urgent call for large companies for optimizing resource allocation to enhance customer satisfaction to survive in the business environment. In this study, the most important factors affecting customer satisfaction in Aseman Airlines were identified and ranked by the Best-Worst Method to allocate resources to increase customer satisfaction optimally. Airline's resources were identified in four different categories: class holding, rewarding, human resource allocation, and direct costs to enhance customer satisfaction. According to the weight of the factors considered by customers and the airline's limitations, an Integer Linear Programming Model was developed, and finally, Practical solutions to improve performance were given to senior managers.

Suggested Citation

  • Dehnavi, Morteza Narimani & Yazdian, Seyed Ahmad & Sadjadi, Seyed Jafar, 2023. "Evaluating effective criteria on customer satisfaction using the best-worst method and optimizing resource allocation, case study Iran aseman airlines," Journal of Air Transport Management, Elsevier, vol. 109(C).
    • Handle: RePEc:eee:jaitra:v:109:y:2023:i:c:s0969699723000182
    DOI: 10.1016/j.jairtraman.2023.102375
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    1. Rahim A. Ganiyu, 2017. "Customer Satisfaction And Loyalty: A Study Of Interrelationships And Effects In Nigerian Domestic Airline Industry," Oradea Journal of Business and Economics, University of Oradea, Faculty of Economics, vol. 2(1), pages 7-20, March.
    2. Stamolampros, Panagiotis & Korfiatis, Nikolaos, 2019. "Airline service quality and economic factors: An ARDL approach on US airlines," Journal of Air Transport Management, Elsevier, vol. 77(C), pages 24-31.
    3. Yalcin Kavus, Bahar & Gulum Tas, Pelin & Ayyildiz, Ertugrul & Taskin, Alev, 2022. "A three-level framework to evaluate airline service quality based on interval valued neutrosophic AHP considering the new dimensions," Journal of Air Transport Management, Elsevier, vol. 99(C).
    4. 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.
    5. Farooq, Muhammad Shoaib & Salam, Maimoona & Fayolle, Alain & Jaafar, Norizan & Ayupp, Kartinah, 2018. "Impact of service quality on customer satisfaction in Malaysia airlines: A PLS-SEM approach," Journal of Air Transport Management, Elsevier, vol. 67(C), pages 169-180.
    6. Shah, Faisal Tehseen & Syed, Zaineb & Imam, Abeer & Raza, Aiman, 2020. "The impact of airline service quality on passengers’ behavioral intentions using passenger satisfaction as a mediator," Journal of Air Transport Management, Elsevier, vol. 85(C).
    7. Chen, I-Shuo, 2016. "A combined MCDM model based on DEMATEL and ANP for the selection of airline service quality improvement criteria: A study based on the Taiwanese airline industry," Journal of Air Transport Management, Elsevier, vol. 57(C), pages 7-18.
    8. El-Adly, Mohammed Ismail, 2019. "Modelling the relationship between hotel perceived value, customer satisfaction, and customer loyalty," Journal of Retailing and Consumer Services, Elsevier, vol. 50(C), pages 322-332.
    9. Shiwakoti, Nirajan & Jiang, Hongwei & Nguyen, An Duong, 2022. "Passengers’ perception of safety and its relationship with demographics, service quality, satisfaction and loyalty in airlines sector - A case study of Vietnam to Australia route," Transport Policy, Elsevier, vol. 124(C), pages 194-202.
    10. Liou, James J.H. & Tsai, Chieh-Yuan & Lin, Rong-Ho & Tzeng, Gwo-Hshiung, 2011. "A modified VIKOR multiple-criteria decision method for improving domestic airlines service quality," Journal of Air Transport Management, Elsevier, vol. 17(2), pages 57-61.
    11. Kuo Cheng Chung & Paul Juinn Bing Tan, 2022. "Options to Improve Service Quality to Enhance Value Co-Creation for Customers in the Aviation Industry in Taiwan," SAGE Open, , vol. 12(1), pages 21582440221, March.
    12. Rezaei, Jafar, 2016. "Best-worst multi-criteria decision-making method: Some properties and a linear model," Omega, Elsevier, vol. 64(C), pages 126-130.
    13. Rezaei, Jafar, 2015. "Best-worst multi-criteria decision-making method," Omega, Elsevier, vol. 53(C), pages 49-57.
    14. Tahanisaz, Sahar & shokuhyar, Sajjad, 2020. "Evaluation of passenger satisfaction with service quality: A consecutive method applied to the airline industry," Journal of Air Transport Management, Elsevier, vol. 83(C).
    15. Mi, Xiaomei & Tang, Ming & Liao, Huchang & Shen, Wenjing & Lev, Benjamin, 2019. "The state-of-the-art survey on integrations and applications of the best worst method in decision making: Why, what, what for and what's next?," Omega, Elsevier, vol. 87(C), pages 205-225.
    16. Woo, Mina, 2019. "Assessing customer citizenship behaviors in the airline industry: Investigation of service quality and value," Journal of Air Transport Management, Elsevier, vol. 76(C), pages 40-47.
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