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Following deregulation, the airline industry has dramatically changed. In addition to numerous mergers and bankruptcies, the industry has also seen an influx of small, “low-cost” carriers who offer differentiated competition to the traditional legacy carriers. These low-cost carriers traditionally avoided the hub-and-spoke networks of legacy carriers, offering point-to-point service often on adjacent routes. However, events of the past 10–15 years, including the terrorist attacks of 9/11, rising fuel prices, and economic recessions, have led to a shift in the operations of these airlines. The legacy carriers have unbundled many of their services, most notably through baggage fees, seeking to improve efficiency. Low-cost carriers have expanded services into major airports and have shifted to more direct route level competition with the legacy carriers as they use their cost efficiency advantages to their advantage. In this chapter, we examine airport and route choice decision to serve by legacy and low-cost carriers over time. Our descriptive and econometric models point to convergence of operations in terms of the airports and routes that low-cost and legacy carriers serve, with the implication that the current competitive atmosphere improves efficiency as the distinctions between legacy and low-cost carriers have become less obvious.

In the first two decades of the twenty-first century, low-cost carriers grew rapidly in many low- and middle-income economies. In this chapter, we examine the geography and network structure of low-cost carriers in such economies across Asia in 2018. We use these analyses to explore the relationship between budget airlines and economic development. Levels of disposable income and infrastructure adequacy help to account for the significance of low-cost airlines in some middle-income economies. And in turn, these airlines by fostering higher levels of accessibility and personal mobility may help catalyze faster development. However, the environmental externalities associated with aviation, especially atmospheric emissions, raise concerns about the sustainability of this mode. We assess these concerns and focus in particular on the development of low-cost carriers fleets in Asia. We ask whether the acquisition of more fuel-efficient aircraft will ameliorate aviation's environmental impact.

In recent decades there have been substantial changes in the structure of the global airline industry commencing with deregulation closely followed by the emergence of Low-Cost Carriers (LCCs). LCCs have greatly increased the opportunities for affordable air travel by generating considerable opportunities for many destinations to tap into new markets. This paper examines a range of issues related to the operation of LCCs and how destinations may be adversely affected when problems emerge. Specifically the paper examines problems that arose in Australia in 2011 when Tiger Airways Australia was grounded for an extended period. Until its grounding the airline, while having a poor reputation for on-time service and customer service, did have a significant impact on airfares which rose on average by 15% during the period of it was grounded.

This paper examines the relationship between transportation quality, customer satisfaction and profitability. Specifically, this study examines the simultaneous and asynchronous effect of quality of transportation services on customer satisfaction and financial performance and then performs the same examination in relation to the effect of customer satisfaction on financial performance. The partial least squares approach to structural equation modelling is used to examine longitudinal data from 1995 to 2018 from the US airline industry. The findings suggest that low service quality in transportation has adverse effects on customer satisfaction and financial performance, while the impact of customer satisfaction on financial performance in the US Airline transportation industry is mixed. The authors found that the impact of customer satisfaction on financial performance is significant in full-service airlines but not in low-cost airlines. Surprisingly, the authors found no significant direct relationship between transportation quality and financial performance in the US airline industry.

Air cargo was traditionally considered as a by-product of passenger air transport. However, in the last decade a defined strategy for air cargo has gained a key position in the strategies of most combination airlines, contributing largely to the cash and profit levels of these airlines. The global air cargo industry is nowadays a mature industry with over 60 billion USD in direct revenues. The strategic context is, therefore, far beyond the basic entrepreneurial framework in which an emerging and young industry tends to operate. This chapter aims to gain an enhanced insight into the strategies of airlines that transport cargo, either in the bellies of passenger aircraft or in full-freighter aircraft. A Cluster Analysis generates a typology of seven representative clusters of air cargo operators’ strategy models. The typology proposes a spectrum of strategies for air cargo, ranging from the cluster group “Carpet Sellers” up to the “Cargo Stars” cluster. While the former tend to be the small airlines or all-cargo carriers which barely manage to cover their costs with their revenues, the latter are profitable, very large globally operating airlines that focus on both passengers and cargo with passenger and freighter aircraft. Within this spectrum there are five other main strategy groups: the “Basic Cargo Operators,” the “Strong Regionals,” the “Low Cost Low Yielder,” the “Large Passenger Wide-body Operators,” and the “Premium Cargo Operators.” Our findings suggest the existence of superior strategy models that could be defined as “winning strategies” that differ according to airline size.

As the wave of liberalization and deregulation have accelerated to relieve rigid controls over airline routes, capacity, and fare setting regimes, Low Cost Carriers (LCCs) have emerged especially in local aviation markets since the 1970s.

This paper has studied the effects of LCC's entry into the domestic aviation market which was pre-occupied by two major carriers, Korean Air (KAL) and Asiana Airlines. Through a simple model describing two situations, prior and post to LCC's entry, we analyzed changes and trends of each airline's output and profit based on the Cournot and two-stage Stackelberg game equilibrium.

In summary, our conclusion consists of five points: (1) Even though JIN Air's entry reduced KAL's respective output and profit, the more JIN Air produces, the higher the joint-profit of KAL and JIN Air is, (2) From the joint-profit aspect, increasing KAL's output to a level than JIN Air's is more profitable on the Gimpo-Jeju route, on the other hand, increasing JIN Air's output higher than KAL's is more profitable on the Jeju-Busan route, (3) Even though JIN Air's entry increase Asiana Airline's output, the more JIN Air produces, the less Asiana Airlines's profit is, (4) Total output in markets as well as total profits of firms will increase under certain conditions, (5) KAL and JIN Air tend to get caught in an unresolved conflict on level of LCC cost.

The low-cost carrier's model made remarkable gains across the globe in the prior decade, although growth was uneven domestically and intraregionally. Within this region, there are significant differences in overall country size, the size of the domestic aviation market, and the number of carriers serving the market. The largest and most developed market is in Russia, but rest of the region also experienced growth in economy airlines' activity as they discovered the power of the model to expand aviation access and lower costs. The success of low-cost carriers, however, has been halting and hampered by government decisions on foreign investment, ownership, and leasing. Still, some carriers have been able to grow and achieve gains over rivals. The recent Russian-Ukrainian war has further complicated the situation.

The purpose of this study was to examine airline passengers’ repurchase decision-making process by developing a sturdy theoretical framework comprising in-flight core-product and service-encounter quality, brand attitude, image, trust and love. The authors also attempted to examine if such decision formation differs across full-service and low-cost airlines in South Korea.

A quantitative method was used to achieve research objectives. For assessment of the conceptual framework and test of research hypotheses, a structural equation modeling and test for metric invariance were used.

The results revealed that in-flight product and service-encounter quality significantly affected their subsequent variables, and their impact on intention was mediated by brand attitude, image, trust and love. In addition, brand image along with brand trust included the strongest influence on intention. Findings also indicated that the relationships among brand attitude, image, trust and love significantly differed between full-service and low-cost airlines.

Increasing the customer retention rate is a key component of airline business success. This study made an important contribution to advancing the existing knowledge on what factors induce airline customers’ decision to repurchase a particular airline product and how such factors are interrelated with each other within the proposed model.

This research was the first to explore that the relationship strength among brand image, brand attitude, brand trust and brand love are not equal between full-service and low-cost airline passenger groups.

No‐frills carriers have revolutionized Europe's aviation market and have changed the airline business in a dramatic way. Having entered most of the countries in Central Europe, the wave has also reached the Baltics. The purpose of this paper is to reveal how a Scandinavian carrier entered the market with a subsidiary airline, by combining elements of low‐cost and traditional carriers.

The paper starts by giving a brief overview of the different airline operating philosophies. It is followed by an introduction into the Nordic airline market. The main focus will be on the operating strategy of Air Baltic and its relation towards the extension policy of Scandinavian Airlines.

The paper provides an independent and structured analysis about the strategy of Air Baltic. Theory was applied to determine how much the airline was influenced by the “low‐fare wave” of the aviation branch and its implications. The hybrid character of Air Baltic reflects the Central European/Baltic business environment.

Research is partly limited to the information published by the airline itself. Because international aviation journals have not yet covered Air Baltic, newspapers and popular journals were used as a base of information. To fill this gap, two semi‐structured interviews with Air Baltic executives were carried out.

The study is a useful source of information for scientists and managers dealing with the airline industry or/and the Baltic Sea region. Lecturers might use the paper for case‐based courses.

This paper is one of the first comprehensive publications in the English language about Air Baltic and the Baltic aviation market.

This study provides a comprehensive framework of adaptation in triadic business relationship settings in the service sector. The framework is based on the industrial network approach (see, e.g., Axelsson & Easton, 1992; Håkansson & Snehota, 1995a). The study describes how adaptations initiate, how they progress, and what the outcomes of these adaptations are. Furthermore, the framework takes into account how adaptations spread in triadic relationship settings. The empirical context is corporate travel management, which is a chain of activities where an industrial enterprise, and its preferred travel agency and service supplier partners combine their resources. The scientific philosophy, on which the knowledge creation is based, is realist ontology. Epistemologically, the study relies on constructionist processes and interpretation. Case studies with in-depth interviews are the main source of data.