Proposing a framework for airline service quality evaluation using Type-2 Fuzzy TOPSIS and non-parametric analysis

• Autorzy: Haghighat N.

Identyfikatory

DOI

10.14254/jsdtl.2017.2-2.1

• Języki publikacji: EN

Abstrakty

EN

This paper focuses on evaluating airline service quality from the perspective of passengers' view. Until now a lot of researches has been performed in airline service quality evaluation in the world but a little research has been conducted in Iran, yet. In this study, a framework for measuring airline service quality in Iran is proposed. After reviewing airline service quality criteria, SSQAI model was selected because of its comprehensiveness in covering airline service quality dimensions. SSQAI questionnaire items were redesigned to adopt with Iranian airlines requirements and environmental circumstances in the Iran's economic and cultural context. This study includes fuzzy decision-making theory, considering the possible fuzzy subjective judgment of the evaluators during airline service quality evaluation. Fuzzy TOPSIS have been applied for ranking airlines service quality performances. Three major Iranian airlines which have the most passenger transfer volumes in domestic and foreign flights were chosen for evaluation in this research. Results demonstrated Mahan airline has got the best service quality performance rank in gaining passengers' satisfaction with delivery of high-quality services to its passengers, among the three major Iranian airlines. IranAir and Aseman airlines placed in the second and third rank, respectively, according to passenger's evaluation. Statistical analysis has been used in analyzing passenger responses. Due to the abnormality of data, Non-parametric tests were applied. To demonstrate airline ranks in every criterion separately, Friedman test was performed. Variance analysis and Tukey test were applied to study the influence of increasing in age and educational level of passengers on degree of their satisfaction from airline's service quality. Results showed that age has no significant relation to passenger satisfaction of airlines, however, increasing in educational level demonstrated a negative impact on passengers' satisfaction with airline's service quality.

Słowa kluczowe

EN

airline service quality; passenger satisfaction; non-parametric analysis; Type-2 Fuzzy Set; Fuzzy TOPSIS

• Wydawca: Fundacja Centrum Badań Socjologicznych ; Scientific Publishing House "SciView"
• Czasopismo: Journal of Sustainable Development of Transport and Logistics
• Rocznik: 2017
• Tom: Vol. 2, No. 2
• Strony: 6--25
• Opis fizyczny: Bibliogr. 33 poz., rys., tab., wykr., wzory

Twórcy

autor

Haghighat N.

• Shahed University, Tehran Province, Tehran, Iran, Department of Industrial Management

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Uwagi

PL

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).