Clustered airline flight scheduling: Evidence from airline deregulation in Korea

This paper explores the impacts of competition level on airline scheduling in the Korean domestic short-haul routes where a hub-and-spoke system is not the optimal air transport network strategy. The empirical findings using the Korean airline panel data for the period 2006–2010 suggest that competition leads to less differentiated departure flight times as expected from spatial competition theory. Unlike the previous study on the U.S airline industry, the degree of this tendency for less differentiation differs across the type of routes: the Jeju island routes (leisure type) and the inland routes (business type), in the deregulated period. Following the May 2008 Deregulation Act we find an increasingly clustered pattern of airline scheduling in the Jeju island routes where there have been competitive pressures associated with new low cost entrants. This recent evidence would imply that airline carriers strategically schedule departure flight times and allocate flights between routes as competition increases in the deregulated period.     

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.     

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.     

Willingness to pay for safety improvements in passenger air travel

The risk of being involved in an airplane accident is largely ignored in air passengers’ choice models. The reason presumably is that it is hard to operationalize, because objective safety indicators often involve extremely low probabilities that are hard to grasp and interpret by passengers. In this paper, we propose an operationalization that is based on the perception of safety, which is easy to understand and resonates that perceptions often influence decisions stronger than objective variables. We conceptualize that passengers form a safety perception score of a particular flight based on their perception of airline and route attributes and that this score in turn is traded-off against other flight attributes, such as ticket costs, to arrive at a flight choice. In line with this conceptualization, two stated preference experiments are conducted. In a first experiment, combinations of airline and route attributes are evaluated in terms of safety that is captured on a rating scale. In a second experiment, safety perception is treated as an attribute and traded-off against other flight attributes to arrive at a flight choice. The paper presents the results of a regression and a Panel Mixed Logit model estimated from responses obtained from a convenience sample of 161 air passengers recruited in the Netherlands. The results of both models are then combined to calculate the willingness to pay values for improvements made to a range of airline and route attributes, taking into account socio-demographic variables and psychological traits. As expected, the results indicate that the willingness to pay for improving safety decreases with higher initial safety levels.     

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

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

Determinants of passengers’ choice of airline check-in services: A case study of American,Australian, Korean,and Taiwanese passengers

This paper investigates factors that influence whether air travelers’ choose conventional counter or self-service check-in, including kiosk and web check-in. It uses data collected from American, Australian, Korean, and Taiwanese passengers. The data suggests that a passenger’s choice of check-in service is strongly dependent on nationality and previous experiences of checking-in; i.e. a cultural bias exists in the behavior of passengers using airline check-in services. Taiwanese passengers prefer to use the conventional counter check-in service but Korean, Australian and American air travelers use more self-service check-in facilities. The analysis also highlights that passengers’ perceptions of the attributes of the check-in service significantly determine their choice of check-in option.     

Traveler perceptions and airline choice: A multivariate probit approach

We investigate the factors that affect passenger decisions regarding airline choice. Three Multivariate Probit (MP) models are developed to analyze data for a sample of 853 respondents. This methodology allows for modeling the simultaneous, yet separate, consideration of airline choice determinants. Fare, safety and reliability, and friendly-and-helpful staff during flight are the most important determinants of airline choice. In-flight entertainment and frequent flyer program are considered to be less important. Results clearly depict differences in the significance of these factors among passengers with different socio-demographic and trip characteristics.     

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.     

The relationship between on-time performance and airline market share: a new approach

We propose a new method of modeling the relationship between on-time performance and market share in the airline industry. The idea behind the method is that the passengers’ decision to remain (use same airline) or switch (use other airlines) at time t depends on whether they have experienced flight delays at time t−1 or not. More specifically, we posit that the passengers who experienced flight delays are more likely to switch airlines for the subsequent flight than those passengers who did not experience delays. To capture such effect, we develop an aggregate-level Markovian type model that estimates the transition probability matrices separately for the passengers who experienced flight delays at time t−1 and for those who did not experience delays. The model was calibrated with the US DOT data. The study results imply that, once experiencing flight delays, passengers are more likely to switch airlines. The results also imply that on-time performance affects a carrier’s market share primarily through the passengers’ experience, and not though the “advertisement” of performance.     

A study on passengers' airport choice behavior using hybrid choice model: A case study of Seoul metropolitan area,South Korea

Improving explanatory power is significantly important to understand variables that affect attitudes and perceptions in the decision process. This paper estimates not only tangible attributes but also intangible perceptions and attitudes using a hybrid-choice model to study air passengers' flight choice behavior. The empirical study was conducted for the choice behavior of air passengers at Seoul Metropolitan Area, South Korea. The analysis uses a two-level Nested Logit model in order to examine which factors have more effect on passengers’ choice of airport and airline simultaneously by using airport and airline choice attributes. The study also estimated the parameters in the equations relating the latent variable by using Structural Equation Model (SEM). The results indicate that the models with latent variables have improved Goodness-of-Fit when compared to classical discrete choice models and effectively capture psychological factors that affect choice behavior of passengers.     

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.     

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.     

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.     

Organizational trust and safety operation behavior in airline pilots: The mediating effects of organizational identification and organizational commitment

As an important issue for the sustainable development of a country, aviation security is important for either the development of aviation enterprises or the stability and orderliness of the whole society. Therefore, the main purpose of this study was to explore the roles of organizational trust, organizational identification, and organizational commitment in safety operation behavior (SOB) for one hundred forty-three airline pilots. Correlation analysis indicated that organizational trust, organizational identification, organizational commitment, and SOB were significantly correlated with each other. Bootstrap analysis showed that airline pilots' organizational identification and organizational commitment mediated the relationship between their organizational trust and SOB in aviation. Implications for research and instructions for how to improve airline pilots’ SOB in aviation 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.     

Investigating business traveller heterogeneity: Low-cost vs full-service airline users?

This paper investigates business traveller heterogeneity using data from a survey carried out amongst airline passengers. Traditional methods employed are usually based on mean responses, thus providing an incomplete picture of what business travellers perceive to be the main sources of differentiation in the airline industry. Factor analysis was used to find types of travellers through grouping of preferred attributes. Then, ordered discrete response methods were used to assess which attributes are perceived in a different way by the two types of travellers identified by factor analysis, controlling for route and passenger characteristics. The results show that a substantial portion of business travellers, who previously did not fly for business reasons, use low-cost air services. Furthermore, after having experienced the low-cost product, business passengers tend to reassess the valuation of some attributes in a way which is more favourable to the LCC. Hence, we conclude that LCC marketing strategies should be aimed at getting business travellers to experience the low-cost product.     

A note on the determinants of airline choice: The case of Air Asia and Malaysia Airlines

Logit analysis is employed on primary data from departing air passengers at the Penang International Airport, Malaysia to examine the determinants of airline choice between incumbent Malaysia Airlines and low-cost Air Asia. With the exception of educational level and ethnicity, other socio-demographic characteristics do not play a statistically significant role in determining airline choice. Instead, behavioral factors such as concerns over schedules and fares, routes, booking methods and purpose of journey are found to be predictors of airline carrier choice.     

Do global airline alliances influence the passenger's purchase decision?

This study examines the influences of airline global alliances on the purchase intention of international air passengers in Taiwan. The findings indicate positive relationships between global airline alliances, brand equity, brand preference and purchase intention with a moderation effect of involvement impacting on the relationship between global airline alliances and brand equity, and the relationship between brand preferences and purchase intention. In particular, for highly involved passengers, the effect of global airline alliances on brand equity, and brand preference on purchase intention, is significant.     

Strategic airline alliances and endogenous Stackelberg equilibria

This paper analyzes the economic effects of the code-sharing alliances between an international and a domestic airline. If these two allied airlines and a separate unallied international airline endogenously choose the role of fare-leader or fare-follower, two types of Stackelberg equilibria exist. This finding suggests that the Stackelberg solution seems reasonable, and provides a guideline for the airlines’ role-choosing. Furthermore, although this complementary alliance improves the social welfare, it decreases the consumer surplus of the direct international passengers and may decrease that of the direct domestic passengers. The negative effects should also be considered when governments evaluate a complementary alliance.     

Optimising flight connection times in airline bank structure through Simulated Annealing and Tabu Search algorithms

In hub and spoke airline networks, flight arrivals and departures generally have a bank structure to increase connections among spoke cities through a hub airport in order to provide cheaper service for higher volumes of air traffic. In this study, we introduce the airline bank optimisation problem with a novel mathematical model for improving flight connection times. The mathematical model aims to minimise the total connection times for transfer passengers and generates flight schedules regarding slot capacities in the hub airports. Since the problem is a combinatorial optimisation problem NP-hard and computational complexity increases rapidly for real-world problems, we employ the simulated annealing and the tabu search algorithms to achieve better solutions in a reasonable time. We generate sub-problems using real-world data and investigate the effectiveness of the algorithms. Finally, we present the results of a real case study of a Turkish airline company which has a hub airport connecting the flights between Middle Eastern and European cities.