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.     

How airline service quality determines the quantity of repurchase intention - Mediate and moderate effects of brand quality and perceived value

Drawing on an integrated framework of service quality theory, this study develops and demonstrates a mediation-moderation model of airline service quality that influences the repurchase intentions of passengers. This model associates service quality with individual behavioral and perception—brand awareness and perceived values and examines the buffering role of brand attractiveness and experience in the decision-making processes. In a sample of 451 passengers, somewhat as expected, airline service quality enhances the positive effect of repurchase intention on airline company service because it fosters a positive link between brand awareness and perceived value. Unsurprisingly, brand attractiveness and memorable brand experiences are found to strengthen the positive effect of brand awareness and perceived value. Several alternative models were used to check the robustness of our findings. Patterns of moderated mediation modeling for theoretical and empirical implications are discussed.     

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.     

Investigating passengers’ intentions to use technology-based self check-in services

As more and more airlines have introduced technology-based self check-in services, it has become increasingly important to understand the factors affecting airline passengers’ attitudes toward this new form of check-in services and also their intentions, especially from Asian passengers’ perspectives. An empirical study was conducted among Taiwanese airline passengers using the technology acceptance model (TAM) as the basic research model while considering additional factors for further analysis such as external stimuli, perceived service quality, perceived behavioral control, need for service, and perceived risk. The findings revealed that attitude and external stimuli best explain passengers’ behavioral intentions to use the kiosks, whereas perceived usefulness and perceived ease of use have little effect on their intentions. These findings suggest that airlines in Taiwan should persuade passengers to acquire a more positive attitude toward the new check-in kiosks and should consider implementation of incentive strategies in encouraging passengers to adopt the self check-in service.     

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.     

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.     

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 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.     

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.     

The effect of airline service quality on passengers’ behavioural intentions: a Korean case study

This paper seeks to improving our understanding of air passengers’ decision-making processes by testing a conceptual model that considers service expectation, service perception, service value, passenger satisfaction, airline image, and behavioural intentions simultaneously. For this testing, path analysis via maximum likelihood estimator is applied to data collected from Korean international air passengers. Service value, passenger satisfaction, and airline image are each found to have a direct effect on air passengers’ decision-making processes.     

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.     

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.     

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.     

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.     

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.     

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.     

Key drivers of passenger loyalty: A case of Frankfurt–Istanbul flights

This study aims to analyze the effects of factors such as image, satisfaction, price, and service quality on passenger loyalty toward full-service network carriers and low-cost carriers. A structural equation modeling approach was applied to identify the factors that significantly affect passenger loyalty. Using LISREL, data were collected from 237 passengers in face-to-face interviews in the baggage claim area of international arrivals at Ataturk International Airport in Turkey who traveled from Frankfurt to Istanbul and were used to test the proposed model. One hundred seventy-five out of these 237 questionnaires were considered as valid. The results indicate that 71% of the passenger loyalty is explained by image and image is explained by satisfaction. In addition, service quality and price are found to have positive effects on satisfaction. Compared with price, service quality is found to be a stronger determinant of satisfaction. This study concludes with the recommendations for managers and possible future research.     

Examining airline service quality from a process perspective

Airline service is composed of a set of processes. Passengers may have distinct expectations at different stages of the service chain. In this study, air travel was divided into ground and in-flight service stages. We first examined the gap between passengers’ service expectations and actual service received and the gaps associated with passenger service expectations and the perceptions of these expectations by frontline managers and employees of a Taiwanese airline. Next, importance–performance analysis was used to construct service attribute evaluation maps to identify areas for improvement. Results revealed that these gaps did exist and passengers were more concerned about the responsiveness and assurance dimensions from airline frontline staff. The tangibles dimension was considered more important when evaluating in-flight service quality than when evaluating ground service quality.     

Service quality and price perception of service: Influence on word-of-mouth and revisit intention

Drawing on an overarching framework of marketing theory, this study develops and tests an integrated model of service quality that explicates the affective mechanisms through which service quality is associated with price perception of service (e.g., monetary price and behaviour price), word of mouth (WOM) and revisit intention. In a sample of 484 low-cost airline passengers, we found service quality to be related to increased price perception of service as a result of increasing passengers' WOM, which also creates success in this regard by increasing their revisit intention. Moreover, it is not surprising that there was a positive relationship between service quality and WOM mediated by perceived value of monetary price. The theoretical and empirical implications of these results are discussed.