Application of fuzzy ahp and fuzzy marcos approach for the evaluation of e-service quality in the airline industry

被引:0
作者
Bakir M. [1 ]
Atalik Ö. [2 ]
机构
[1] Department of Aviation Management, School of Civil Aviation, Samsun University, Samsun
[2] Department of Aviation Management, Faculty of Aeronautics and Astronautics, Eskisehir Technical University, Eskisehir
来源
Decision Making: Applications in Management and Engineering | 2021年 / 4卷 / 01期
关键词
Airlines; E-service quality; Fuzzy AHP; Fuzzy MARCOS; Fuzzy sets theory;
D O I
10.31181/dmame2104127b
中图分类号
学科分类号
摘要
Airlines today use e-services extensively for marketing activities and the distribution of services. Monitoring and evaluating e-service quality are essential for customers' satisfaction and thus the success of airlines. This study aims to evaluate e-service quality in the airline industry from the point of view of the consumers. To achieve this, an integrated Fuzzy Analytical Hierarchy Process (F-AHP) and Fuzzy Measurement Alternatives and Ranking according to Compromise Solution (F-MARCOS) approach was proposed to handle the uncertain and imprecise nature of e-service evaluation. In the first stage, e-service quality criteria were prioritized using the F-AHP method. Then, a real-world case study was carried out on scheduled airlines to demonstrate the applicability of the proposed approach using the F-MARCOS method, utilizing a total sample of 395 airline passengers in Turkey. As a result, the top three e-service criteria were found as reliability, understandability, and security. A three-stage sensitivity analysis was also conducted to examine the credibility and stability of the results. This study is the first study to integrate F-AHP and F-MARCOS methods for the first time in literature. © 2020 Regional Association for Security and crisis management. All rights reserved.
引用
收藏
页码:127 / 152
页数:25
相关论文
共 72 条
  • [1] Abbasi R., Rezaei N., Esmaili S., Abbasi Z., Website quality and evaluation: A perspective of Iranian airline industry, International Journal of Electronic Business, 14, 2, pp. 103-127, (2018)
  • [2] Adenso-Diaz B., Alvarez N. G., Alba J. A. L., A fuzzy AHP classification of container terminals, Maritime Economics and Logistics, 22, pp. 218-238, (2019)
  • [3] Alptekin N., Hall E. E., Sevim N., Evaluation of Websites Quality Using Fuzzy TOPSIS Method, International Journal of Academic Research in Business and Social Sciences, 5, 8, pp. 221-242, (2015)
  • [4] Anagnostopoulos K. P., Gratziou M., Vavatsikos A. P., Using the fuzzy Analytic Hierarchy Process for selecting wastewater facilities at prefecture level, European Water, 19, 20, pp. 15-24, (2007)
  • [5] Badi I., Abdulshahed A., Ranking the Libyan airlines by using full consistency method (FUCOM) and analytical hierarchy process (AHP), Operational Research in Engineering Sciences: Theory and Applications, 2, 1, pp. 1-14, (2019)
  • [6] Badi I., Pamucar D., Supplier selection for steelmaking company by using combined Grey-Marcos methods, Decision Making: Applications in Management and Engineering, 3, 2, pp. 37-48, (2020)
  • [7] Bakir M., Atalik O., Havayolu Işletmelerinde E-hizmet Kalitesi Boyutlarinin Önem Düzeylerinin Belirlenmesi, Eskişehir Osmangazi Üniversitesi Iktisadi ve Idari Bilimler Dergisi, 14, 1, pp. 149-168, (2019)
  • [8] Bigne E., Sanz S., Ruiz C., Aldas J., Why Some Internet Users Don't Buy Air Tickets Online, Information and Communication Technologies in Tourism 2010, pp. 209-221, (2010)
  • [9] Blut M., E-Service Quality: Development of a Hierarchical Model, Journal of Retailing, 92, 4, pp. 500-517, (2016)
  • [10] Blut M., Chowdhry N., Mittal V., Brock C., E-Service Quality: A Meta-Analytic Review, Journal of Retailing, 91, 4, pp. 679-700, (2015)