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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.

We investigate the relationship between airline network structure and airport congestion. More specifically, we study the ways in which airlines adjust capacity to delays depending on the network type they operate. We find some evidence suggesting that airlines operating hub-and-spoke structures react less to delays than airlines operating fully connected configurations. In particular, network airlines have incentives to keep frequency high even if this is at the expense of a greater congestion at their hub airports. We also show that airlines in slot-constrained airports seem to react to higher levels of congestion by using bigger aircraft at lower frequencies; thus, we conclude that conditioning the number of available slots on the levels of delays at the airport seems an effective measure that creates the right incentives for airlines to reduce the congestion they generate.

This paper aims to illustrate how legacy airlines can reorientate to achieve sharp recoveries in performance following prolonged periods of stagnation, decline and eroding competitiveness.

The authors use a qualitative analysis of five longitudinal case studies of legacy airlines that embarked on strategic change between 1997 and 2006. Data collection spanned ten years and included archival data, public documents, news clippings, accounts in specialist books and internal company documentation.

The paper identifies two distinct approaches for reorientation in the legacy airline industry. Companies that have fallen behind and are in risk of failure focus on regaining customer trust and loyalty, and restructuring route networks, business processes and costs in an “improvement and innovation” reorienting approach. Underperforming airlines, for whom growth has declined in traditional markets and who note that opportunities exist elsewhere, focus on product and service development and geographical growth in an “extension and expansion” reorienting approach.

The paper develops a framework for successful reorientation in the legacy airline industry. This framework encourages executives to focus on and leverage profit maximization, quality, leadership, alliance networks, regional consolidation and staff development during periods of strategy formulation and reorientation.

This research addresses the dearth of understanding and attention afforded to the concept of reorientation in the literature on strategic turnaround. The research also serves to emphasize the presence and importance of reorientation as a strategy of change within the legacy airline industry. Furthermore, in demonstrating how this strategy can be implemented in a sharp‐bending or performance improvement context, this study illustrates how reorientation is intertwined with the broader turnaround process.

A major source of external funding for US airports comes from issuing municipal bonds. Credit rating agencies evaluate the bonds using multiple factors, but the judgments behind the ratings are not well understood. This paper examines if airport rate-setting methods affect the bond ratings of US airports.

Using a set of unbalanced panel data for 58 hub airports from 2010 to 2019, we examine the effect of the rate-setting methods and other airport characteristics on Fitch’s airport bond rating.

We find that compensatory airports consistently receive a very high bond rating from Fitch. The probability of getting a very high Fitch rating increases by ∼28 percentage points for a compensatory airport. Additionally, the probability of getting a very high rating is about 33 percentage points higher for a legacy hub.

The study uses Fitch bond ratings. Future studies could examine if S&P’s and Moody’s ratings are also influenced by airport rate-setting methods and legacy hub status.

The results uncover the linkage between bond ratings and their determinants for US airports. This information is important for investors when assessing airport creditworthiness and for airport operators as they manage capital project financing.

This is the first study to evaluate the effects of rate-setting methods on airport bond rating and also the first to document a statistically significant relationship between airports’ legacy hub status and bond ratings.

This chapter introduces its readers to the concept of tourism. It sheds light on the rationale for tourism, as it explains the tourists’ inherent motivations to travel. It also describes different aspects that together make up the tourism industry. Tourists travel to destinations that are accessible to them. They require accommodation if they are visiting a place for more than 24 hours. Leisure and business travellers may also visit attractions, and engage in recreational activities. Hence, the tourist destinations should have the right amenities and facilities. In this light, this chapter clarifies how destinations may offer different products to satisfy a wide array of tourists. Tourism products can include urban (or city) tourism, seaside tourism, rural tourism, ecotourism, wine tourism, culinary tourism, health tourism, medical tourism, religious tourism, cultural (or heritage) tourism, sports tourism, educational tourism, business tourism (including meetings, incentives, conferences and events), among others.

The tourism marketing environment consists of internal and external forces which could impact the organisations’ performance. To be successful, companies must adapt to ongoing trends and developments in their macro- and micro-environments. When organisations scan their marketing environment, they will be in a position to deal with any possible threats from the market and to capitalise on any available opportunities. Therefore, this chapter explains the external environmental factors of tourist destinations, including political, economic, social and technological influences. It also considers their internal environmental factors, including capital structures, resources, capabilities and marketing intermediaries, as it identifies competitive forces from differentiated or low-cost service providers.

Air carriers and aircraft manufacturers are investing in technologies and strategies to reduce fuel consumption and associated emissions. This chapter reviews related issues to assess airline fuel efficiency and offers various empirical evidences from our recent work that focuses on the U.S. domestic passenger air transportation system. We begin with a general presentation of four methods (ratio-based, deterministic frontier, stochastic frontier, and data envelopment analysis) and three perspectives for assessing airline fuel efficiencies, the latter covering consideration of only mainline carrier operations, mainline–subsidiary relations, and airline routing circuity. Airline fuel efficiency results in the short run, in particular the correlations of the results from using different methods and considering different perspectives, are discussed. For the long-term efficiency, we present the development of a stochastic frontier model to investigate individual airline fuel efficiency and system overall evolution between 1990 and 2012. Insight about the association of fuel efficiency with market entry, exit, and airline mergers is also obtained.

Firms with linear pricing offer their customers the same price for each unit of a good or service. Anything else is nonlinear pricing. Nonlinear pricing in imperfect markets indicates a fundamental asymmetry in information between firms and consumers. Consumers are commonly expected to exhibit quality- or quantity-preference differences and have different reservation values for different product attributes. The firms, however, cannot observe consumers' preferences. When complete information regarding preferences is not observable, nonlinear pricing strategies with firms offering a menu or schedule of prices allow consumers to sort themselves according to their own preferences, resulting in market segmentation.