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.     

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.     

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.     

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 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.     

Investigating the effects of service recovery quality elements on passengers' behavioral intention

This study intends to analyze how the elements of restoring the quality of airline service influences the airline image, recovery satisfaction, and behavioral intentions of airline passengers. For this testing, a survey was conducted on passengers with an experience of dissatisfaction of airline services. A total of 240 responses were analyzed by using structural equation modeling. The results revealed that among the recovery quality elements, promptness had a positive influence the image of the airline. Additionally, a recovered image of the airline had a positive influence on the recovery satisfaction and behavioral intention. The findings of this study may improve our understanding of consumer responses to the airline company's efforts to recover service failure.     

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.     

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.     

Quality risk assessment model for airline services concerning Taiwanese airlines

Whereas most studies have focused on elevating the service quality of airlines, few have explored quality risks from the viewpoint of customer dissatisfaction caused by poor service. For this study, we designed a quality risk assessment model that measures quality risk for airline services by integrating the Kano model, degrees of importance and satisfaction, and the failure mode and effects analysis. Data were collected for Taiwanese airlines through a questionnaire. The application of the proposed quality risk assessment model revealed several high-risk services, such as employee service attitudes, the ability of employees to manage customer complaints, the comfort of airplane seats, in-flight snack services, and flight punctuality. Finally, this study presents a discussion on the managerial implications and recommends directions for future research.     

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.     

Examining a hybrid model for e-satisfaction and e-loyalty to e-ticketing on airline websites

In the air transportation industry, web-based marketing has already been widely applied to service frequent customers as well as to attract new ones. The importance of attracting new customers and keeping existing ones loyal to e-ticketing on airline websites is crucial. Accordingly, this study proposes an integrated model for evaluating the effectiveness of airlines' websites from a customer point of view. This model is based on the three perspectives of the marketing mix 4Ps, E-SERVQUAL and Expectancy Disconfirmation Theory. E-marketing and E-SERVQUAL features are divided into three dimensions, specifically information, system and service disconfirmations. The methodology was applied based on Structural Equation Modeling (SEM) and was administered to online customers who carry out e-ticketing via an airline website. The results show that customer disconfirmations have a positive significant impact on overall customer e-satisfaction. The significance of this relationship was more considerable in the service dimension of e-marketing, as well as the system dimensions of E-SERVQUAL and e-marketing. Moreover, overall e-satisfaction was found to mediate the relationship between customer disconfirmations and consumer e-loyalty.     

How efficient airways act as role models and in what dimensions? A superefficiency DEA model enhanced by social network analysis

In this empirical study, a five-stage methodology is used to examine the efficiency of 45 worldwide known airline companies from the financial, operation and marketing perspectives. Initially, the superefficient data envelopment model is run with inputs and outputs that are selected based on the literature review. However, because 21 out of 45 airline companies are found to be efficient based on this analysis, a stepwise regression-based mechanism is applied to four reduced models – one for each output variable – for better discrimination. The outputs are, namely, net profit margin (financial output), passengers carried, on-time departure performance (operational outputs), and customer satisfaction (marketing output). In this way, the significant input variables are found for each reduced model. In the third stage, in order to provide even more discrimination, social network-based eigenvector centrality values are used as the weights of the superefficiency scores, and the strengths and weaknesses of efficient airlines for each output are specified in terms of their related significant inputs. The results show that, when net profit margin is taken as an output, Vietnam Airlines has the top weighted superefficiency value and excels in terms of available seat kilometers and liquidity, but it should improve its debt level. Although Norwegian Airlines has the highest efficiency with respect to debt level, it is not the best role model because its eigenvector centrality value is relatively low. However, Norwegian airlines also has the highest weighted superefficiency and acts as a role model in terms of on-time departures with respect to this output. Its main strength is liquidity, and it has no significant weaknesses. On the other hand, in terms of overall satisfaction and passengers carried, Vietnam Airlines and Thai Airways are the leaders, respectively. Vietnam Airlines is the only superefficient company with respect to overall satisfaction, while the basic strengths of Thai Airways in terms of passengers carried are its employee and fleet, and it has no significant weakness. A final aggregation of the results is made by making pairwise comparisons of the relative importance of four outputs for 7 experts selected from different departments of airline companies. According to the results, Net Profit Margin has the highest priority, followed by On-time Departure and Overall Customer Satisfaction, while passengers carried has the lowest importance. Based on these relative priorities, it can be said that Vietnam Airlines can be accepted as the top performing airline company, followed by Norwegian Airlines.     

Motivations and barriers for corporate social responsibility reporting: Evidence from the airline industry

Corporate social responsibility (CSR) has become a popular topic, as related research saliently suggests that CSR reporting has positive impacts, including improving corporate reputation, achieving employee trust, and enhancing customers' satisfaction. Consequently, in the past few years, companies have increasingly begun to report their CSR initiative outcomes, while the majority struggles to adopt similar initiatives. The research presented herein investigates motivations and barriers for reporting CSR outcomes by providing evidence from airline companies to investigate this disparity. Data collected through survey and confirmatory interviews indicates that respondents believe that government is the most important reader (or customer) of CSR reports. Similar to other industries, CSR reporting's major motivations are related to reputation and brand value, employees' CSR awareness, communication with stakeholders, management systems, management culture, market share, and transparency with the government. An enhanced understanding of related barriers and motivators should assist policymakers and company executives in their strategic decision-making regarding CSR reporting, thereby contributing to advancement toward sustainability.     

The U.S. Airways Group: A post-merger analysis

America West Airlines acquired the bankrupt US Airways on September 27, 2005 to form the US Airways Group, improving its competitive position in the US airline industry. This paper analyzes the post-merger performance of the US Airways Group using airline operating metrics and financial ratios for the period 2005 to 2013. While the airline has still a long way to go to improve its leverage and liquidity ratios, its capital structure and ability to pay its obligations have improved since 2005. Moreover, although the airline is still inefficient in utilizing its assets, the efficiency improvements achieved since the merger have resulted in profits and positive returns to investors. Its share prices have also largely outperformed the S&P 500 and the XAL since the merger, an indication that investors are pleased with how the merger is developing over time. In view of the US Airways Group's improving financial and operating performance, the merger is, essentially, a success.     

Airline in-flight entertainment: the passengers’ perspective

Following relaxation of economic regulation in many aviation markets, the competition amongst airlines has intensified in recent years. This has resulted in improvements in airline products, especially in the in-flight services. One of the areas on which airlines have focused their attention is the provision of personal in-flight entertainment (IFE). In 1998, airlines spent $1.8 billion on IFE. However, the industry is faced with a number of questions in relation to such levels of investment: Are the investments justified? Does IFE influence passengers’ choice of airline? Does IFE have a revenue-generating potential? What does the future hold as far as the IFE services are concerned? This paper addresses these questions based on a passengers survey and literature review. The results indicate that while IFE is not amongst the primary factors affecting passengers’ choice, it contributes greatly to passengers’ satisfaction with airline services. While provision of IFE can currently act as a differentiating factor, in the future it will become part of passengers’ expectations. It has also become apparent that, while IFE has the potential to generate some revenue, it would not be enough to cover the total costs associated with the installation and running of IFE systems. The impact of IFE would be felt, indirectly, through increase in passenger loyalty which should have a positive impact on airline revenues.     

A new digital service quality model and its strategic analysis in aviation industry using interval-valued intuitionistic fuzzy AHP

Today, airline companies have to provide digital products and services to ensure customer satisfaction. Accordingly, classical service quality models are not sufficient to capture customer expectations, and new digital service quality (DSQ) models should emerge. This study aims to propose a new and genuine DSQ model. The proposed model consists of digital tangibles, reliability, digital interaction, digital trust, and customer-centricity dimensions; and 35 criteria related to them. Importance degrees of criteria are determined with the IVIF AHP method. The validity of the proposed model is verified, employing a real case concerning the Turkish airline industry. The results show that the most significant dimension is digital trust, and the three most important criteria are proactive customer service, cybersecurity, and customer insight.     

A robust hybrid decision model for evaluation and selection of the strategic alliance partner in the airline industry

Owing to the cut throat competition and economic uncertainty in the market, airlines are focusing on strategic alliances for satisfying customer needs, especially in the current time which is dominated by global integration, demanding customer and fast changing technologies. This strategy is widely adopted by airlines. However, the selection of strategic alliance partner is a very decisive decision, and this selection process engrosses a number of complex processes which is result of compound reflection of associated various factors. In addition, the decision makers may be inconsistent in their views and preferences, arising due to imperfect information or intrinsic conflict between various departments. This paper presents a model based approach of an analytic hierarchy process (AHP) for evaluation of criteria and fuzzy technique for order performance by similarity to ideal solution (FTOPSIS) for the selection of strategic alliance partner. A case of Indian airline industry demonstrates the application of the proposed approach. Eventually, robustness of the model is demonstrated by sensitivity analysis.     

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.     

An analysis of traveler need for and willingness to purchase airline dynamic packaging: A Korean case study

This study analyzes (1) the need among air travelers for commission-based ancillary products and services from airline websites via dynamic packaging and (2) the willingness to purchase them. For this purpose, a survey is conducted with 2030 airline customers in Korea. This study aims to provide insights into Korean traveler preference to enable airlines serving Korean customers to formulate and implement successful business strategies that incorporate dynamic packaging into airline websites to expand ancillary revenues. The results confirm that Korean travelers demonstrate the need for and willingness to purchase commission-based ancillaries when purchasing tickets from airlines. On average, commission-based ancillary products are positively received by respondents. Airport transfers (e.g. rail and shuttle services), foreign currency exchange offers, and travel insurance are the most popular. Female travelers, travelers in their 20s, and frequent travelers (10 + times a year) report a significantly higher need for and willingness to purchase a set of commission-based ancillaries with flights from airline websites. Willingness to purchase third-party products from airlines is higher than in previous studies, and the preference rankings also differ. This study supports the viability of commission-based ancillary offerings from airline websites targeting Korean travelers. It shows the potential for airlines to successfully upsell and cross-sell via dynamic packaging strategies, one of the first steps toward becoming competitive travel retailers.     

Market orientation and business performance: An empirical investigation in the airline industry

As the airline industry has become more competitive, carriers have looked to improve performance and competitiveness. During the last decade, market-oriented corporate strategy has emerged as a significant antecedent of organizational performance and is presumed to contribute to long-term success. This study investigates potential influences of market orientation on airline performance. Data were collected by mail survey, and MARKOR was used to specify the dimensions of a market-orientated organization. The results support the positive influence of market orientation on business performance.