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.     

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

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.     

Service quality and customer satisfaction of a UAE-based airline: An empirical investigation

This paper investigates the linkages among service quality, service provider image, customer expectations, perceived value, customer satisfaction and brand loyalty in a Dubai-based airline. Initially, the determinants of service quality were identified utilizing the SERVQUAL framework with some modification. Service quality was then used as an antecedent to measure customer satisfaction, a condition which can bring about brand loyalty. In a research initiative using a quantitative approach, data from 253 questionnaires was analyzed. Using structure equation modeling, the data analysis suggests that service quality, perceived value, and brand image have a positive significant impact on customer satisfaction, which can in turn lead to brand loyalty. Theoretical and managerial implications are discussed.     

Text mining approach to explore dimensions of airline customer satisfaction using online customer reviews

The airline industry operates in a highly competitive market, in which achieving and maintaining a high level of passenger satisfaction is seen as a key competitive advantage. This study presents a novel framework for measuring customer satisfaction in the airline industry. Using text mining methods we explore Online Customer Reviews (OCRs) to provide guidelines for airlines companies to improve in competitiveness. We analyze a database of more than 55,000 OCRs, covering over 400 airlines and passengers from 170 countries. Using a Latent Dirichlet Allocation model we identified 27 dimensions of satisfaction described by 882 adjectives. Dimensions and adjectives were used to predict airline recommendation by customers, resulting in an accuracy of 79.95%. The most relevant dimensions for airlines' recommendation prediction were calculated. OCRs were stratified according to several variables. Of those, type of passenger impacted the least on the number of dimensions of customer satisfaction, while type of cabin flown impacted the most. Observing results in different publication years we showed airline customer trends through time. Our method showed sensitiveness to identify variations in dimensions distribution according to different passenger characteristics and preferences. Practical implications are that airline service providers aiming at maximizing customer satisfaction should focus their efforts on (i) customer service to first class passengers, (ii) comfort to premium economy passengers, and (iii) checking luggage and waiting time to economy class travelers. Regression analysis revealed cabin staff, onboard service and value for money as top three dimensions of satisfaction to predict the recommendation of airlines. Designing services that excel in those dimensions is likely to improve the company's performance with customers.     

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.     

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.     

What drives passenger loyalty to traditional and low-cost airlines? A formative partial least squares approach

Based on a case study involving passengers from Lufthansa, Croatia Airlines and Germanwings, we examine the determinants of passenger loyalty among users of traditional full-service airlines and of low-cost carriers. In particular, using formative modeling the study analyzes the effects of service quality and price on carrier choice and loyalty.     

An application of the airport service quality model in South Africa

Passengers’ expectations of service quality at airports are becoming increasingly important as air traffic grows. This research investigated passengers’ perceptions of airport service quality at O.R. Tambo International Airport, South Africa. An existing model placing the concept of passenger expectations central to measuring an airport’s specific level of performance was applied. The results proved significant in terms of the investment made by the airport in staff training and highlighted areas for improvement. The results show that business travellers and leisure travellers have different opinions regarding the importance of services offered by airports and of the level of performance at ORTIA in particular. Significant differences also occur in the perceptions of frequent travellers and infrequent travellers.     

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.     

Determinants of selection of full-service airlines and low-cost carriers—A note on business travellers in South Africa

The research conducted in South Africa follows similar studies conducted in UK and Brazil, in investigating factors that may influence business travellers in their selection of full-service airlines or low-cost carriers. On comparison of the studies, findings related to the influence of company size, loyalty programmes, in-flight service and airport lounge facilities appear to coincide but some differences in conclusions drawn on the influence of variables such as price and flight frequency were evident in South Africa.     

Predicting airline passengers’ loyalty using artificial neural network theory

The study explores a model for predicting airline loyalty using the antecedents indicated in previous studies. Data was collected using a questionnaire distributed to 614 domestic air passengers using the snowball sampling method. The measurement tool had 16 scale items constructed on the recommendations of previous studies. Passenger satisfaction, airline service quality, passenger perceived value, and airline image are identified as determinants for airline loyalty. The predictive analytical approach of Artificial Neural Network theory and covariance-based Structural Equation Modelling for determining causality is employed in the study. The artificial neural network model predicts airline loyalty with 89% accuracy. Sensitivity analysis suggests passenger satisfaction as the most significant predictor of airline loyalty. The causal study supports that passenger satisfaction mediates the relationship between airline service quality and airline loyalty.     

Market strategy development and innovation to strengthen consumer-based equity: The case of Brazilian airlines

A brand valued by passengers would be able to convey quality and credibility, adds value to air transport the service, and increases passengers' willingness to pay a premium for tickets. However, studies on consumer-based brand equity in the air transport sector have been scarce, especially in developing countries such as Brazil. This study examines the relationship between marketing strategies adopted by Brazilian airlines in the domestic market and the strengthening of consumer-based brand equity (particularly brand associations with brand awareness, perceived quality, and brand loyalty). A literature review and a survey of 33 managers from Brazil's top airlines were conducted to develop the study's conceptual model. To empirically test the model, another survey was conducted on 480 passengers at six airports in the central western, southern, and southeastern regions of Brazil and the data analyzed via structural equation modeling. The results show that joint investments are necessary for innovation in service, price promotion, and event sponsorship in order to strengthen the key consumer-based brand dimensions. This study provides a basis for the development of future studies on passenger-based brand equity and helps airlines target their marketing strategies with maximum effectiveness.     

Exploring passenger preferences in airline service attributes: A note

This paper examines passengers' valuations on airline service attributes using stated preference analysis in the direct flight air market between Taiwan and China. An experiment design reflecting the characteristics of low cost airlines is used to collect stated preference data from Taiwanese air passengers. Empirical results reveal not only the implicit values of service attributes but also the preference differences in attributes between business and non-business travelers.     

A study on travelers' transport mode choice behavior using the mixed logit model: A case study of the Seoul-Jeju route

This study is to analyze passengers' choice of the mode of transportation when air transportation is in competition with high speed rail (HSR). The Seoul-Jeju route analyzed as an empirical case study, in which the construction of an undersea tunnel to connect Seoul and Jeju city by HSR has been considered. The study also included two new variables, ‘safety of transportation’ and ‘availability of duty free shopping’ in addition to traditional transport choice variables such as travel time, travel costs and frequency of service to reflect special characteristics of the market. As data gathering tools, SP techniques and mixed logit model, for analytical methodology, were utilized. The authors found that the goodness of fit of the models was improved with new variables. The models also showed that the characteristics of business passengers and leisure passengers in choosing the mode of transportation were different. Business passengers were apt to choose a safety secured mode of transportation regardless of fare while leisure passengers preferred to use duty free shops more than business passengers.     

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.     

Exploring characteristics of passengers using traditional and low-cost airlines: A case study of Belgrade Airport

Low cost carriers entered the Serbian air travel market after Serbia joined the European Common Aviation Area (ECAA) in 2006, prompting the development of healthy competition among airlines and resulting in significant traffic increase at Belgrade Airport. The aim of this paper is to examine the characteristics of passengers traveling on low-cost carriers (LCC) in comparison with those traveling on traditional airlines by using cluster analysis, and to provide practical implications to airport management in tailoring their strategies to meet growing demand. A comprehensive passenger survey was recently conducted at Belgrade Airport on the routes where competition between traditional and LCC carrier exists. The results reveal that emigrants, primarily encouraged by favorable fares, constitute a substantial portion of LCC passengers. Affordable service offered by LCC has also been a positive stimulus for emigrants, who purchase tickets for their friends and relatives to visit them in their host countries. On the other hand, passengers using traditional airlines could be generally classified into two segments, those who fly on business and those who fly for leisure purposes, and each had specific needs when choosing their airline.     

The propensity of business travellers to use low cost airlines

The liberalisation of air transport regulations in the EU has led to the introduction of a number of new airlines serving short haul point to point routes (e.g. easyJet, Ryanair, Debonair, Virgin Express, Go and others). While some of these routes are clearly leisure oriented (e.g. Palma, Ibiza, Venice and Nice), anecdotal evidence suggests that a significant number of travellers are using these services for business related trips. A number of recent studies suggest that pressure is being brought to bear on business travellers to reduce travel expenditure (IATA, 1997. International Air Trasport Association, Press release, No. PS/13/9, 27 January 1997; Bender, A., Stephenson, F., 1998. Journal of Air Trasport Management 4 (2), 99–109; Mason, K.J., 1998. In: Selected Proceedings of the Eighth World Conference on Transport Research (forthcoming)). This paper details a stated preference (SP) survey of European business travellers to assess the propensity for business travellers to use short haul low cost airlines. The study assess the utility placed by travellers on price, airline reward schemes, flight frequency and in-flight comfort service attributes. Price is shown to be the most important purchase factor followed by in-flight comfort and then flight frequency. The study demonstrates the effect of company size on traveller's selection of these utilities.     

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.     

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.     

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.