An investigation of service quality,customer satisfaction and loyalty in China's airline market

Customer loyalty is a source of competitive advantage and an important intangible asset to any organisations, but empirical evidence from China's airline market regarding the determinants of passenger satisfaction and loyalty is lacking. This paper investigates the service quality of four major airlines in China's domestic market and explores the links between their service quality and customer satisfaction, as well as the conditions under which airlines can retain existing passengers. In line with previous studies, service quality variables are significant factors influencing customer satisfaction levels. However, satisfactory service was not found to result in higher customer loyalty among business travellers. In comparison to Hainan Airlines, passengers who travelled with Air China, China Southern and China Eastern were more likely to switch to an alternate carrier, indicating lower levels of brand loyalty. In addition, the frequent flyer programs (FFPs) have been largely a failure for the four major airlines in terms of increasing customer loyalty, as revealed in this study. It is necessary to draw distinctions between business and leisure travellers when studying the determinants of customer satisfaction and customer loyalty. Ticket pricing had a positive and significant effect on passengers' overall satisfaction and in turn strengthened customer loyalty among leisure travellers, but achieved no impact on the satisfaction and loyalty of business passengers. Some demographic variables such as gender, income and education are statistically significant for one group of passengers but not for another in the probit models estimated. It is suggested that different marketing strategies may be used to target different market segments to improve customer loyalty.     

Linkages between customer service, customer satisfaction and performance in the airline industry: Investigation of non-linearities and moderating effects

The paper investigates the linkages between customer service, customer satisfaction, and firm performance in the US airline industry. In particular, the moderating effects of market concentration and firm dominance on the service-satisfaction-performance relationship are examined. Our major finding is that market concentration dampens the relationship between customer satisfaction and airline profitability. Although the same moderating relationship was not found for market power, these results, combined, indicate that airlines can increase profits in concentrated markets without providing for the same, concomitant increases in customer satisfaction as airlines operating in more competitive markets. From a public policy perspective, our results point to the importance of regulators monitoring airline actions, such as mergers and alliances, that serve to increase the concentration of markets, but may result in lower levels of customer satisfaction.     

Airline services marketing by domestic and foreign firms: differences from the customers’ viewpoint

Based on a survey of 1014 passengers of five European airlines, this paper reveals differences between passengers on the Turkish domestic airline and those on four foreign airlines on the same flight destinations with respect to demographic profiles, behavioral characteristics, understanding of airline service dimensions, and satisfaction levels. Differences between the two passenger groups are highlighted in terms of age, sex, education, occupation, sector affiliation, location of domicile, travel purpose, travel frequency, service expectations, and satisfaction levels. It is concluded that the differences in consumer profiles and expectations are valuable clues for domestic and foreign airline firms in understanding their consumers and in designing their marketing strategies.     

Managing valuable Taiwanese airline passengers using knowledge discovery in database techniques

Taiwanese domestic airline passenger loads have declined over the past decade, and the inauguration of the Taiwan high-speed rail service in 2007 has further intensified the competition facing the airlines. Gaining and retaining valuable passengers thus has become essential in maintaining domestic airline profits in the increasingly competitive transportation market. This study develops a knowledge discovery in database process, including the recency, frequency, and monetary model and the C5.0 decision tree. The former is used to assess passenger value, while C5.0 is used to mine demographic, travel behavior, and critical service quality information for valuable passengers. The results identify valuable passenger characteristics that can help Taiwanese airlines maximize their number and retention.     

The effect of frequent flyer programs: A case study of the Korean airline industry

Frequent flyer programs are important for airlines in Korea in their marketing of services. This paper develops a conceptual model to investigate the effect of such programs by examining the relationships them and, airline service quality, pricing, passenger satisfaction, airline image, and airline selection. Path analysis is used to analyze data collected from Korean international air passengers. The results show that frequent flyer programs have direct and indirect effects on pricing, passenger satisfaction, airline image, and airline selection. In addition, their effects on passengers' selections are significantly different between Korean and foreign airlines.     

Assessing the effects of perceived value (utilitarian and hedonic) in LCCs and FSCs: Evidence from South Korea

In the airline industry, passengers choose and buy service based on their perception of which airline delivers better value. Thus, it is important to compare two types of airlines, Low Cost Carriers (LCCs) and Full Service Carriers (FSCs), to measure how much their product or service is worth and the effect of perceived value on passengers' purchase decisions. This study examined the relationship between perceived value, satisfaction, and purchase intention in both FSCs and LCCs. Confirmatory Factor Analysis (CFA) and Structural Equation Modeling (SEM) were performed for data analysis. Our findings reveal that passenger satisfaction in LCCs is affected by hedonic value and utilitarian value, but passengers' future purchase intention is not dependent on satisfaction even when passengers are satisfied. In FSCs, moreover, utilitarian value is not a significant factor for satisfaction and purchase intention. This research provides implications for airline marketers and directions for future research.     

The impact of service quality and price on passengers' loyalty towards low-cost airlines: The Southeast Asia perspective

The objective of this study is to examine the impact of service quality by adopting AIRQUAL model and price on passengers' loyalty through the linkage of passengers' satisfaction toward low-cost airlines from the perspective of Southeast Asia. With 200 questionnaires analyzed, the results suggest that service quality and price have a positive significant impact on passenger satisfaction, and as a result lead to passengers’ loyalty. Besides, the findings of this research also confirm the mediating role of customer satisfaction between service quality and loyalty, price and loyalty separately, which implies that customer satisfaction is a vital factor for an LCCs to survive in such a highly competitive aviation market.     

Does service recovery affect satisfaction and customer loyalty? An empirical study of airline services

This paper investigates the relationships among service recovery, recovery satisfaction, overall customer satisfaction, and customer loyalty in airline services. The perception of justice in service recovery is specifically examined. A survey of airline passengers who have experienced service failure and recovery is analyzed using structural equation models. It is found that both interactional and procedural justice have a significant effect on recovery satisfaction. Overall satisfaction mediates the relationship between recovery satisfaction and loyalty.     

Passenger perceptions of service quality: Korean and Australian case studies

This paper investigates air passengers’ perceptions of 11 factors that may influence their buying behaviour namely, in-flight service, reservation-related service, airport service, reliability, employee service, flight availability, perceived price, passenger satisfaction, perceived value, airline image, and overall service quality. Analysis of variance and an independent sample t-test are applied to data collected from Korean and Australian international air passengers. The results reveal that passenger perceptions are significantly different across airlines, seat classes, and usage frequencies.     

A voice in the skies: Listening to airline passenger preferences

This study aims to identify the impact levels and priorities in the service expectations that passengers have when identifying a preferred airline. The results are based on probabilities and impacts, and can help airlines to accurately understand the preference criteria of their passengers. The priorities of the passengers may differ according to the airline chosen; therefore, the probabilities shown in this study can inform senior airline managers about the passenger perspective. This study uses the Stochastic Multicriteria Acceptability Analysis-2 (SMAA-2) method. SMAA-2 identifies the priorities and impact levels of passengers’ expectations on airline selection, and the ranking of alternative firms according to the probability. According to the obtained results, Airline 3 (AF₃) is the most preferred airline with the highest confidence rate. This airline operates based on a low-cost model that allows passengers to choose additional services for additional charges. The passenger expectations that have the highest impact on the preference when selecting an airline are 1) ticket prices, 2) punctuality, and 3) booking convenience. Free in-flight food and beverages, the variety and quality of the food and beverages, and voyager miles programs for loyal customers are found to have no impact on the ranking of airlines. The expectations identified by the passengers in this study are related to the outcome quality dimension, with services dominated by flexible features. The findings of this study define the passenger as a rational decision maker who is price sensitive.     

The impact of an aircraft's service environment on perceptions of in-flight food quality

Airlines are currently striving to improve the quality and quantity of in-flight food, because research has shown that catering is a key attribute for a customer's satisfaction with airline service quality. But the role of an airline's service environment in forming customer perceptions about food quality has not yet been properly investigated. Using electronic word-of-mouth data from N = 3996 airline passengers, this study deploys a linear regression model at multiple levels to relate perceived in-flight food quality with both the overall service environment and its formative components. The results clearly unveil the importance of an aircraft's service environment on perceived in-flight catering quality; perceptions of food quality are primarily influenced by the quality of cabin staff service, followed by entertainment and seat quality. Instead of continuing with the current practice of signing up top chefs to improve menus, airlines may instead consider putting their management focus on service improvements.     

An efficient airline seat reallocation algorithm considering customer dissatisfaction

Nowadays, many airlines tend to provide an advance seat selection service to maximize customer satisfaction to secure market shares in the competitive air transport market. However, the preassigned seat configuration of certain flight legs can be changed often due to aircraft changes for certain reasons, such as maintenance and reservation rates. Then certain customer's seat features, such as row location, position of aisle/window, relative location, and position with the same group member can be different before/after the change, and it can lead to huge customer dissatisfaction. Therefore, an efficient airline seat reallocation algorithm to minimize customer dissatisfaction is introduced in this study, which is based on mathematical model-based optimization with several types of objective functions that reflect customer dissatisfaction levels. A numerical example is performed to validate the developed airline seat reallocation algorithm, and an additional analysis is also executed to derive important insight.     

Recovering costs through price and service differentiation: Accounting for exogenous information on attribute processing strategies in airline choice

The entry of low cost airlines has thrown out a challenge to all airlines to find ways of attracting passengers, through a mix of fare discounting, greater frequency, improved flight times and no-frill's levels of on-board service. These competitive strategies have an impact on cost recovery. As airlines seek business in an increasingly heterogeneous passenger market, a greater understanding of what matters to potential passengers in choosing an airline grows in importance. Traditional studies of passenger airline choice assume that all attributes matter, but some to a lesser extent. What happens to the empirical evidence on willingness to pay when specific attributes are totally ignored by particular passengers? In this paper, we examine the impact of individual-specific attribute processing strategies (APS) on the inclusion/exclusion of attributes on the parameter estimates and behavioural outputs of models of airline service and fare level choice. Modelling practice assumes that whilst respondents may exhibit preference heterogeneity, they employ a homogenous APS with regards to how they process the presence/absence of attributes of stated choice (SC) experiments. We demonstrate how information collected exogenous of the SC experiment on whether respondents either ignored or considered each attribute of the SC task may be used in the estimation process, and how such information may be used to provide outputs that are attribute processing strategies segment specific.     

Airline choice by passengers from Taiwan and China: A case study of outgoing passengers from Kaohsiung International Airport

Understanding what factors passengers consider when selecting an airline is critical, as airlines can utilize this information in market segmentation and marketing strategies. However, few studies have explored how passenger demographics and the nationality/type of carrier (full service or low-cost; regional or international) affect the choice factors of passengers when selecting airlines. The main objective of this study was to explore the airline choice factors considered by passengers, compare the choices of passengers with different demographics, and analyze which factors are emphasized by passengers from Taiwan and China when selecting airlines. We conducted a questionnaire survey of outgoing passengers at Kaohsiung International Airport in relation to 22 factors underlying their choice of airline. Using factor analysis, we identified the five factors: ground services, convenience, in-flight services, price, and travel availability. We then utilized cluster analysis to identify four groups, each concerned with price, comfort, convenience, and ground services, respectively. Nationality, age, income, flying frequency, and purpose of travel lead to differences in deciding which factors were considered by cross-strait passengers. Passengers of different nationalities concerned with different factors when selecting airlines. Our findings can add to the completeness of existing research as well as provide airlines with reference in developing marketing strategies for different customer groups.     

FIPIA with information entropy: A new hybrid method to assess airline service quality

This study proposes “FIPIA with information entropy” as a new, hybrid method to assess airline service quality by identifying the most important priorities for airline passengers and producing recommendations to airline management for optimal resource allocation to improve service quality and customer satisfaction. The proposed method is an improvement over IPA, IPIA and FIPA methods, through the introduction of information entropy and fuzzy logic to the analysis of importance, performance and impact dimensions of airline service quality to improve interpretability and actionability of analysis results. This study also offers airline managers a list of what they should improve in resource allocation in order to increase service quality considering customer satisfaction and create value by managing the relational capital more effectively. The new hybrid method was field-tested by administering a 26-item questionnaire to passengers of a major airline operator, analyzing the responses using the Importance-Performance-Impact Analysis (IPIA) method, fuzzy logic and information entropy. The analysis revealed four main dimensions of airline service quality, namely reliability, assurance, tangibles, empathy and responsiveness with 17 constituent attributes. The case study revealed that (1) resource allocation was adequate only on four attributes; (2) seven service quality attributes were identified as needing further management focus on resource allocation; (3) six service quality attributes received more resources than necessary which should be shifted to other attributes; (4) dimensions of reliability and tangibles needed more focus than others. The proposed hybrid method of FIPIA with information entropy can be employed for any industry where service quality depends on multiple attributes.     

Focusing on the big picture while observing the concerns of both managers and passengers in the post-covid era

This study reveals how to improve and define the issues of service quality in the airline sector after the outbreak of COVID-19, to what extent customer needs (important issues) and expectations (expected performances) will differ, and the priorities of airline sector managers in terms of resource allocation, costs, planned strategies, and operational efficiency and effectiveness. It offers a systematic and interactive perspective by simultaneously providing the perspective of both airline managers and passengers by using a new hybrid method, namely Fuzzy Importance, Expected Performance, and Priority Analysis (FIEPA) with VIKOR. This method allows the use of different perspectives of different managers in the analysis, which can be prioritized with different weights. According to the results of the study, in which 449 passengers participated on Twitter, the attributes on which airline managers should focus were determined, having three distinctive characteristics of being important for customers, having high priority according managers, and having low expected performance according customers. Twenty-two attributes related to the service quality of airlines during outbreak periods were classified into three main dimensions as “social distance and hygiene during flight”, “information awareness and concern”, and “infection alert procedure”.     

Evaluating frequent flyer programs from the air passengers' perspective

Frequent flyer programs are used as a common strategy in the airline industry. They can be defined as a service quality attribute that consists of some redemption of free flight miles and can determines the selection of airlines. It has been argued that they can act as an entry barrier, but limited attention has been paid to assessing the impact of this strategy on passengers’ perceptions of service. They are generally part of broad airline service quality parameters and thus can creates dilemmas for airline managers, passengers and regulators regarding their added value, costs and competitive effects on industrial organization.     

A study on the impact of airline service delays on emotional reactions and customer behavior

This study is intended to identify the influence of service delays on emotional responses and customer behavior. For this research, a survey was conducted on airline passengers that experienced service delays. A total of 395 respondents were analyzed using structural equation modeling. According to the analysis results, service delays positively influenced negative emotions and negatively influenced repurchase intention. In addition, service delays positively influenced negative word-of-mouth. This study provides a basic knowledge on how airlines can develop their service strategies to make good use of the motivating effect of service delays on emotional responses and behavioral intentions.     

The impact of airline service quality on passengers’ behavioral intentions using passenger satisfaction as a mediator

This research study measures the perception of airline service quality based on data collected from Pakistan International Airline (PIA) passengers using SERVQUAL. It investigates the impact of service quality dimensions on passenger's behavioral intentions in presence of mediator (passenger satisfaction). The data is collected through an adopted SERVQUAL instrument from the respondents in the domestic and International waiting lounges of PIA. The data is analysed using reliability statistics, correlation analysis and through hierarchal regression analysis. A systematic random sampling technique is used to analyze the study sample and PROCESS macros was used to run mediation analysis. The results reveals that passenger's satisfaction mediates the relationship between airline service quality and behavioral intentions. Practically, PIA should not only improve on Service Quality but should build up quality consciousness among on ground and inflight employees; pay attention to reliable factors and establish customer goodwill through enhanced services; regard reliability factors and enhance employee accomplishment. Implications of these results for management policy and practice are highlighted as guidelines. PIA managers can now better understand the importance of service quality and its long-term benefits in the form of customer loyalty.     

Transformation of India's Domestic Airlines: A case study of Indian Airlines, Jet Airways, Air Sahara and Air Deccan

India, home to one-sixth of the world's population, is becoming one of the world's economic engines. Its bureaucratic and outdated regulatory policies have been reformed resulting in a three-fold increase in the number of scheduled airlines and a five-fold increase in the number of aircraft operated. This paper reviews how the new regulatory roadmap has transformed the supply of domestic air services. A large passenger survey conducted in Mumbai investigated the sensitivity of passengers to a change in fare and which flight products would encourage them to select either a full service airline or a low cost carrier. The study finds that there is a homogenous set of flight products required by leisure passengers, travelling on both full service and low cost airlines, however there is a considerable dissimilarity overall between the requirements of passengers using a full service airline and a low cost carrier.