Evaluation of passenger satisfaction with service quality: A consecutive method applied to the airline industry

被引:66
作者
Tahanisaz, Sahar [1 ]
Shokuhyar, Sajjad [1 ]
机构
[1] Shahid Beheshti Univ, Fac Management & Accounting, Daneshjo Blvd, Tehran, Iran
关键词
Service quality; Customer satisfaction; Airline industry; Kano model; RFM model; CUSTOMER SATISFACTION; MARKET-SEGMENTATION; FUZZY APPROACH; NEW-MODEL; LOYALTY; PERCEPTIONS; PERFORMANCE; EXPECTATIONS; RESTAURANTS; INTENTIONS;
D O I
10.1016/j.jairtraman.2020.101764
中图分类号
U [交通运输];
学科分类号
08 ; 0823 ;
摘要
Passengers' dissatisfaction with service quality is one of the crucial factors affecting the market share loss of airlines. This study aims to find out how airlines become capable of satisfying their passengers by considering the diversity of pre-purchase expectations. Therefore, the study proposes a novel model for clustering air passengers to identify passengers with similar expectations. Thus, the passengers' expectations of the service quality attributes in each cluster were measured and converted into quantitative degrees of customer satisfaction by applying the Kano model. Finally, Importance-Satisfaction Analysis (ISA) was employed to finding that which service quality indicators fall into the "Keep up the proper work"," Concentrate here"," Possible overkill", and "Low priority" category for eliciting applicable marketing strategies.
引用
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页数:10
相关论文
共 62 条
[1]  
Alfansi L., 2000, International Journal of Bank Marketing, V18, P64, DOI DOI 10.1108/02652320010322976
[2]   An assessment of service quality and resulting customer satisfaction in Pakistan International Airlines Findings from foreigners and overseas Pakistani customers [J].
Ali, Faizan ;
Dey, Bidit ;
Filieri, Raffaele .
INTERNATIONAL JOURNAL OF QUALITY & RELIABILITY MANAGEMENT, 2015, 32 (05) :486-+
[3]  
[Anonymous], CUSTOMER BASED MARKE
[4]  
[Anonymous], 2002, P 8 ACM SIGKDD INT C, DOI DOI 10.1145/775047.775149
[5]  
[Anonymous], P 1994 AC MARK SCI A
[6]  
[Anonymous], COM PETITIVE STRATEG
[7]  
[Anonymous], FACULTY ADM SCI EC J
[8]  
[Anonymous], 2008, P 26 C ICAS 8 AIAA A
[9]  
Archana R., 2012, International Journal of Multidisciplinary Research, V2, P50
[10]   A fuzzy approach to service quality diagnosis [J].
Ardakani, Saeid Saeida ;
Nejatian, Majid ;
Farhangnejad, Mohammad Ali ;
Nejati, Mehran .
MARKETING INTELLIGENCE & PLANNING, 2015, 33 (01) :103-119