A non-additive multiple criteria analysis method for evaluation of airline service quality

Subjective preferences with interactive property are often involved in the evaluation of airline service quality. It may not be possible, however, to correctly evaluate service quality using conventional additive measures. The fuzzy measure, which is a non-additive measure, is more suitable for this situation. Given the presence of arduousness in current fuzzy measure identification and in the calculation of the comprehensive performance values of alternatives in terms of the Choquet integral, this paper proposes the λ_k fuzzy measure and introduces Marichal entropy of the λ_k fuzzy measure to reach a solution. This paper also presents the aggregator Choquet integral with respect to the λ_k fuzzy measure. To verify the method's effectiveness, an application study of the comprehensive performance of 15 US airlines was conducted, using data collected over a 10-year period. Our results show that the proposed method is a suitable multi-criteria analysis method, which can be used to evaluate the performance of airline service quality when man–made interaction phenomena are not existent.     

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.     

A combined MCDM model based on DEMATEL and ANP for the selection of airline service quality improvement criteria: A study based on the Taiwanese airline industry

The aim of this study is to select airline service quality improvement criteria for the Taiwanese airline industry. Numerous factors such as low railway prices, the development of high-speed rail, increases in petroleum prices, increases in foreign airline competition, and the recent economic depression have led many airlines in Taiwan to encounter financial difficulties and even closure. Researchers have begun to identify critical service quality improvement criteria with the goal of increasing the competitive advantages of airlines. Most of the selected criteria, however, suffer from a major technical problem: all of the measurement dimensions are independent, leading to inadequate criteria for measuring service quality. Our calculations consider the interrelationships and effects among the evaluation dimensions and criteria to precisely rank and select criteria. The value of this study is that it provides airlines with a direction for measuring and improving their service quality with the goal of developing sustained competitive advantage over the long term.     

Customer satisfaction and service quality in the Chinese airline industry

This paper focuses on studying the relationship between customer satisfaction, measured by customer complaints, and the service quality of Chinese carriers. By using a quarterly unbalanced panel data set covering twelve large and small carriers, our fixed effect Tobit analysis shows that customer complaints rise with increases in the number of damaged bags, but at a declining rate. By contrast, the on-time performance of scheduled flights has no significant effect on customer complaints. Furthermore, non-state or privately owned carriers receive significantly more customer complaints compared with state-owned carriers, and the largest number of complaints are made in the third quarter, which covers the high season of the summer holidays.     

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.     

A new hybrid simulation-based assignment approach for evaluating airlines with multiple service quality criteria

Evaluation of airlines based on service quality criteria can help to improve the processes of airlines, and also can give guidance to travel agencies to provide better choices for passengers and tourists. In this study, a hybrid simulation-based assignment approach is proposed to deal with multi-criteria decision-making problems with a group of decision-makers. A probability distribution is used to model decision-makers’ opinions and constructing a stochastic decision matrix. Then some efficient multi-criteria decision-making methods are utilized for evaluating alternatives in a simulation process. The proposed approach is applied to a problem of evaluation of five airlines with respect to opinions of 58 experts on 28 criteria. The results show the efficiency of the proposed to handle decision-making problems with a large number of experts. Moreover, the evaluation results are more reliable than the other decision-making approaches because of simulating decision-makers’ opinions, using multiple methods and evaluating based on aggregative results.     

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.     

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.     

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.     

Assessing customer citizenship behaviors in the airline industry: Investigation of service quality and value

Along with the emergence of a new marketing paradigm (service-dominant logic), the post-consumption behavior has been highlighted. Accordingly, the purposes of this study are to identify four types of the consumer citizenship behavior, including advocacy, feedback, helping and tolerance, and to examine two direct and indirect determinants of it. Then, a moderating effect of the air passenger-related factor (domestic vs. international trips) has been assessed on the proposed relationships. The results of this paper suggest decomposing two dimensions of service quality (intangible and tangible resources of airline services) which indirectly affect the consumer citizenship behavior via perceived value. Those passengers who took domestic trips are more likely to have the stronger relationships than travelers who carried out international trips.     

Three-stage airline fleet planning model

One of the main factors affecting airline success is bringing supply and demand as closely together as possible. In order to achieve this goal, an airline needs to adopt an appropriate methodological approach for the fleet planning process. Selection of an aircraft for operating a defined route network is a key element which has a direct impact on the increase of an airline's profitability and on the reduction of an airline's costs. The objective of this paper is to develop a robust model for fleet planning that deals with both fleet size and fleet composition problems for airlines operating on short haul and medium haul routes. The three-stage model for fleet planning involves approximate fleet composition, fleet sizing and aircraft type selection based on fuzzy logic, heuristic and analytic approaches, and multi-criteria decision making, respectively. This model is exemplified with a hypothetical airline based at Belgrade Airport.     

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.     

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.     

Service quality and non-salary mechanism for airline companies in Taiwan

Based on the affective events theory (AET), this study demonstrates how family-supportive organization perceptions (FSOP) and psychological detachment predict strain symptoms (the need for recovery and emotional exhaustion) and how the strain symptoms influence service quality. With data collected by convenience sampling from 206 airline employees, our results show that FSOP negatively influence strain symptoms, while psychological detachment mediates the relation between FSOP and the need for recovery. Although the need for recovery has no significant relation with service quality, emotional exhaustion does have a significantly negative association with service quality. Our contributions are more comprehensive for the literature on human resources, organizational behavior, and airline transportation. Moreover, based on the theory, our research fills the gap between FSOP and service quality by adding the strain symptoms as important mediation variables. The results can also be put to practical use on employment policies, such as retaining excellent employees in an organization and increasing an organization's competition advantages. The results may also apply to human resource management (HRM) and present that improvement in service quality is the most important competitive ability for the airline industry.     

SARIMA damp trend grey forecasting model for airline industry

The aim of this paper is to propose a new model that improves the Damp Trend Grey Model (DTGM) with a dynamic seasonal damping factor to forecast routes passengers demand (pax) in the air transportation industry. The model is called the SARIMA Damp Trend Grey Forecasting Model (SDTGM). In the DTGM, the damp trend factor is a static smoothing factor because it does not change over time, and therefore, it cannot capture the dynamic behavior of time series data. For this reason, the modification consists in using the trend and seasonality effects of time series data to calculate a dynamic damp trend factor as time grows. The DTGM damping factor is based on the forecasted data obtained by the GM(1,1) model; otherwise, the SDTGM calculates a seasonal damping factor based on historical data using a large amount of data points for short lead-times. The SDTGM has less uncertainty than the DTGM. The simulation results show that the SDTGM captures the seasonality effect and does not allow the forecast to exponentially grow. The SDTGM forecasts more reasonable routes pax for short lead-times when having a large amount of data points than the DTGM. The United States domestic air transport market data are used to compare the performance of the DTGM against the proposed SDTGM.     

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.     

The long-haul low-cost airline business model: A disruptive innovation perspective

This paper analyzes the impact of the long-haul low-cost (LHLC) airline business model on the air transport industry from a disruptive innovation perspective. We argue that the LHLC business model is set to stay; it is bound to penetrate the mass market that has, to date, been occupied by incumbent network carriers. It will thus lead to significant strategic adaptations in the long-haul air travel market where incumbents are well advised to prepare their responses. We provide a set of strategic response options along the categories of avoiding, accepting and embracing the LHLC business model that can be used by incumbents to defend their competitive positioning in the long-haul air travel market. This paper provides guidelines for airline managers to (re)evaluate the strategies of their own organizations facing the emergence of a potentially disruptive innovation in their industry.     

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.     

A profit-maximization location-capacity model for designing a service system with risk of service interruptions

This paper considers the design of an immobile service system in which each facility’s service process is subject to the risk of interruptions. The location-capacity decisions and allocations are simultaneously made to maximize the difference between the service provider’s profit and the sum of customers’ transportation and waiting costs. An efficient Lagrangian-based solution algorithm is developed, which solves large-sized instances with up to 50 service facilities and 500 customers in a few seconds. Several sensitivity analyses and managerial insights are presented. The model is also applied to a case study on a logistics network design problem in the zinc mining industry.     

Towards a maturity model for big data analytics in airline network planning

The evaluation, acquisition and use of newly available big data sources has become a major strategic and organizational challenge for airline network planners. We address this challenge by developing a maturity model for big data readiness for airline network planning. The development of the maturity model is grounded in literature, expert interviews and case study research involving nine airlines. Four airline business models are represented, namely full-service carriers, low-cost airlines, scheduled charter airlines and cargo airlines. The maturity model has been well received with seven change requests in the model development phase. The revised version has been evaluated as exhaustive and useful by airline network planners. The self-assessment of airlines revealed low to medium maturity for most domains. Organizational factors show the lowest average maturity, IT architecture the highest. Full-service carriers seem to be more mature than airlines with different business models.