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Journal articles on the topic 'US domestic airline market'

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Published: 10 December 2022
Last updated: 28 January 2023

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1

Fu, Xiaowen, Martin Dresner, and Tae H. Oum. "Effects of transport service differentiation in the US domestic airline market." Transportation Research Part E: Logistics and Transportation Review 47, no. 3 (May 2011): 297–305. http://dx.doi.org/10.1016/j.tre.2010.11.002.

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2

Zhang, Yunzhou, and Linda Nozick. "Investigating the Pricing Impacts of the American Airlines and US Airways Merger." Transportation Research Record: Journal of the Transportation Research Board 2672, no. 23 (April 19, 2018): 15–19. http://dx.doi.org/10.1177/0361198118758682.

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In 2013, American Airlines merged with US Airways creating the largest airline in the world. This paper analyzes this merger’s effect on domestic airline ticket pricing using the Department of Transportation’s 10% ticket sample. This analysis confirmed insights that have been identified in prior analyses including in which there is heightened competition, prices are lower. It also demonstrates again that mergers can be correlated with rising prices. What is perhaps novel is that although legacy carriers generally increased prices post-merger, low-cost carriers did not appear to have that same freedom. Rather, they lowered prices, and those fare reductions were largest in markets for which American Airlines and US Airways played a larger role pre-merger.
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3

Crystal, Jonathan. "Globalization, International Corporate Alliances, and Political Conflict: The Experience of the US Airline and Telecommunication Industries." Business and Politics 1, no. 3 (November 1999): 343–73. http://dx.doi.org/10.1515/bap.1999.1.3.343.

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The globalization of production simultaneously opens up new opportunities for firms and threatens them with intensified foreign competition. Studies of the resulting producer demands for commercial policy have not yet incorporated two recent trends: the increasing significance of the trade in services and the proliferation of international corporate alliances. With two US industries (airlines and telecommunications) as illustrative case studies, it can be seen that, to a surprising extent, even competitive global industries will seek to block foreign competitors from entering local markets via alliances. The level of political conflict in response to these alliances is related to the issue of market access at home and abroad. Market barriers abroad provide global producers with the motive for seeking contingent restrictions. Restrictions at home give domestic firms the opportunity to oppose alliances without worrying that competitors could enter the market through foreign direct investment. The model suggests some important differences in the political reactions to globalization between service and manufacturing firms.
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4

Minja, Ellinami. "Precision Air Services Ltd – jostling for position in Tanzanian airspace." Emerald Emerging Markets Case Studies 1, no. 1 (January 1, 2011): 1–11. http://dx.doi.org/10.1108/20450621111110483.

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Subject area Finance, entrepreneurship, general management. Study level/applicability MBA/Postgraduate. Case overview This case is about Precision Air Services, a small profitable airline in Tanzania, which is in the middle of a changing airline industry. In less than ten years, Mr Michael Ngaleku Shirima, the founder and then holding two-thirds of the shares together with an option to buy the remaining one-third, had seen the airline grow to a major player in the domestic market. His plans to expand to regional routes were still on the drawing board when he received a US$2 million cash offer from Kenya Airways, a much larger airline, for a 49 percent equity stake. At the same time, South African Airways – another heavyweight in the African airline industry, was in the process of acquiring a controlling stake in the state-owned Air Tanzania Corporation. To Mr Shirima, giving up a significant stake in an airline he created from scratch was a dilemma. But if that was to be, he was also interested to see that he is getting the right price for his efforts. Expected learning outcomes This case can be used to teach elements of merger and acquisition, business valuation, negotiation, strategy (corporate, international, growth), strategic scoping and planning. Supplementary materials Teaching notes.
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5

Cabo, Manoela, Elton Fernandes, Paulo Alonso, Ricardo Rodrigues Pacheco, and Felipe Fagundes. "Energy Effectiveness of Jet Fuel Utilization in Brazilian Air Transport." Sustainability 12, no. 1 (December 30, 2019): 303. http://dx.doi.org/10.3390/su12010303.

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Since World War I, the commercial aviation industry has seen many improvements that now allow people and goods to reach the other side of the world in a few hours, consuming much less fuel than in recent decades. Improvements in cargo capacity and energy efficiency were significant, and in this scenario, commercial airlines were able to thrive and bring great benefits to the world economy. However, this sector is facing environmental challenges due to the intensive use of jet fuel. Brazil is one of the largest domestic air passenger markets in the world and still has great growth potential, considering its economic potential and territorial dimensions, which are roughly the same size as the US and twice the size of the European Union. This paper discusses the partial productivity of jet fuel in Brazilian domestic aviation and proposes an econometric method to support public regulators and airline decisions. The proposed model uses variables, such as aircraft size, route characteristics, and idle flight capacity, in a panel data analysis. The results show that reducing idle capacity is one of the best ways to achieve better short-term fuel efficiency, and therefore will reduce the environmental impacts and have positive economic effects on commercial air transport activities. This paper brings a new approach to the discussion of airline performance, focusing on the use of jet fuel, with economic and environmental consequences.
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6

Baumgarten, Patrick, Robert Malina, and Anne Lange. "The impact of hubbing concentration on flight delays within airline networks: An empirical analysis of the US domestic market." Transportation Research Part E: Logistics and Transportation Review 66 (June 2014): 103–14. http://dx.doi.org/10.1016/j.tre.2014.03.007.

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7

Coy, Steven. "Management of airline arrival performance before and after September 11, 2001 in US domestic markets." Journal of Air Transport Management 11, no. 4 (July 2005): 219–30. http://dx.doi.org/10.1016/j.jairtraman.2004.11.005.

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8

Menezes Bezerra Sampaio, Raquel, and Miguel Urdanoz. "Airlines' cooperation in the US domestic market: Measuring the evolution of price gaps." Transportation Research Part A: Policy and Practice 166 (December 2022): 424–43. http://dx.doi.org/10.1016/j.tra.2022.11.007.

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9

Button, K. "A Book, the Application, and the Outcomes: How Right Was Alfred Kahn in The Economics of Regulation about the Effects of the Deregulation of the US Domestic Airline Market?" History of Political Economy 47, no. 1 (January 1, 2015): 1–39. http://dx.doi.org/10.1215/00182702-2847303.

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10

Borenstein, Severin. "Why Can't US Airlines Make Money?" American Economic Review 101, no. 3 (May 1, 2011): 233–37. http://dx.doi.org/10.1257/aer.101.3.233.

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US airlines have lost nearly $60 billion ($2009) in domestic markets since the 1978 deregulation, most of it in the last decade. The dismal financial record challenges the economics of deregulation. I examine some of the common explanations among industry participants and researchers—including high taxes and fuel costs, weak demand, and competition from lower-cost airlines. Major drivers seem to be the demand downturn after 9/11—demand remains much weaker today than in 2000—and the large cost differential between legacy and low-cost carriers, which has persisted even as the price differential between them has greatly declined.
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11

Doyme, Khan, Lynnette Dray, Aidan O’Sullivan, and Andreas Schäfer. "Simulating Airline Behavior: Application for the Australian Domestic Market." Transportation Research Record: Journal of the Transportation Research Board 2673, no. 2 (February 2019): 104–12. http://dx.doi.org/10.1177/0361198119826533.

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This paper demonstrates the ability of a model, which simulates competition between airlines in a domestic aviation market, to accurately reproduce real-world behavior. The Australian market was chosen as a test case as it is a geographically isolated region with significant demand and complexity, including one of the busiest routes in the world, where connecting international passengers do not significantly skew the market. The model is based on an n-player noncooperative game, in which each airline represents a player within the game. The primary assumption is that each airline attempts to maximize profits by adjusting the decision variables of airfares, flight frequency, and choice of aircraft on routes within its network. The approach works iteratively, allowing each airline to respond to the decisions made by other airlines during each successive optimization. The model is said to reach convergence when there is no significant change in any airline’s profit from one iteration to the next. Once this occurs, the predictions of each airline’s decision variables can be compared with real data. The model gives highly detailed predictions of airline specific airfares, flight frequencies on segments, passenger flows, and airline market share, which strongly correlate with observed values.
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12

Hazel, Robert. "Airline capacity discipline in the U.S. domestic market." Journal of Air Transport Management 66 (January 2018): 76–86. http://dx.doi.org/10.1016/j.jairtraman.2017.10.009.

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13

Setiawan, Indra, Dewi Nusraningrum, and Yosi Pahala. "Deregulasi Penerbangan dan Kinerja Perusahaan Penerbangan Niaga Berjadwal di Indonesia." JURNAL MANAJEMEN TRANSPORTASI DAN LOGISTIK 2, no. 1 (July 20, 2017): 1. http://dx.doi.org/10.25292/j.mtl.v2i1.130.

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The purpose of this study is to analyze the aviation deregulation and performance of the scheduled commercial airlines. Samples used are domestic flights of 17 companies. Using descriptive analytical research methods. Deregulation encourage the emergence of new low-cost airline. Up to 2012 the share of the domestic passenger market in general is as much as 78% controlled by low-cost airline companies. Garuda Indonesia, which has the operating license to fly as a full service airline only gain a market share of 22%. It is concluded that the trend of domestic passengers as much as 78% are choosing low cost airlines.
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Setiawan, Indra, Dewi Nusraningrum, and Yosi Pahala. "Deregulasi Penerbangan dan Kinerja Perusahaan Penerbangan Niaga Berjadwal di Indonesia." Jurnal Manajemen Transportasi & Logistik (JMTRANSLOG) 2, no. 1 (March 7, 2015): 1. http://dx.doi.org/10.54324/j.mtl.v2i1.130.

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The purpose of this study is to analyze the aviation deregulation and performance of the scheduled commercial airlines. Samples used are domestic flights of 17 companies. Using descriptive analytical research methods. Deregulation encourage the emergence of new low-cost airline. Up to 2012 the share of the domestic passenger market in general is as much as 78% controlled by low-cost airline companies. Garuda Indonesia, which has the operating license to fly as a full service airline only gain a market share of 22%. It is concluded that the trend of domestic passengers as much as 78% are choosing low cost airlines.
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15

Sancho-Esper, Franco Manuel, and Francisco José Mas-Ruiz. "Competition in the Spanish domestic airline sector." Academia Revista Latinoamericana de Administración 32, no. 2 (June 3, 2019): 282–302. http://dx.doi.org/10.1108/arla-10-2017-0293.

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Purpose The purpose of this paper is to analyse the role of switching costs (SwCs) on established firm cost behaviour towards a competitive entry in the Spanish domestic airline market, taking into account the entrant profile and airport capacity restrictions. Design/methodology/approach The dynamic model is based on information of 193 Spanish domestic routes in which incumbents react to entrants (quarterly data during 10 years, 620 reactions are analysed). The balanced panel used is constructed by setting up a multiple-source database based on accounting and industrial engineering procedures. Findings Results show that both entrant profile and regulatory constraints conditions incumbent cost reaction (CR) to entry at the route-level. Regression models show that the relationship between SwCs and incumbent reaction is moderated by the entrant profile and the regulatory conditions of the market. Practical implications This study reveals the importance of policy measures aimed at reducing firm market power and increasing consumer protection in the airline industry, in which SwCs are artificially created at the company’s discretion and where operating costs at the route-level need to be evaluated together with the various service elements. Originality/value This study complements current literature related to incumbent CR to entry in the airline industry since it analyses the specific reaction performed by a carrier at the route-level. Moreover, it analyses the whole set of routes in the Spanish domestic market rather than a selection of it. It also explicitly includes three alternative measures of SwCs that can influence such incumbent reaction.
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16

Clougherty, Joseph A. "US domestic airline mergers: the neglected international determinants." International Journal of Industrial Organization 20, no. 4 (April 2002): 557–76. http://dx.doi.org/10.1016/s0167-7187(00)00107-7.

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17

Ito, Harumi, and Darin Lee. "Domestic codesharing practices in the US airline industry." Journal of Air Transport Management 11, no. 2 (March 2005): 89–97. http://dx.doi.org/10.1016/j.jairtraman.2004.09.003.

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18

Ho, Tin, Dat Nguyen, Thanh Ngo, and Tu Le. "Airfares Data in New Zealand Domestic Aviation Market." Sustainability 13, no. 16 (August 9, 2021): 8916. http://dx.doi.org/10.3390/su13168916.

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Price competition has been a growing concern of worldwide researchers and managers. In the aviation market, especially with the help from e-commerce platforms such as Expedia, TripAdvisor, and SkyScanner, airfares are now available to customers in the easiest and quickest way. It thus allows airlines to match their fares immediately and simultaneously upon any changes of their rivals, given that customer’ choices are made with regard to their incomes. This study provides a dataset on domestic airfares in New Zealand that could be useful for future studies in the fields of marketing, business and economics, transportation and aviation, or management. The dataset covers 12 trunk routes and 40 secondary routes in New Zealand from 19 September 2019 to 18 December 2019, a total of 90 days. It provides a rich dataset of more than 162,000 observations regarding the airfare, departure time, arrival time, flight duration, airline, departure airport, arrival airport, transiting airport, and so on. There are possibilities to extend the dataset (e.g., in terms of flying distance, airport characteristics, and airline characteristics) to make it be valuable for future study.
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19

Brueckner, Jan K., Darin Lee, and Ethan S. Singer. "Airline competition and domestic US airfares: A comprehensive reappraisal." Economics of Transportation 2, no. 1 (March 2013): 1–17. http://dx.doi.org/10.1016/j.ecotra.2012.06.001.

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20

Lu, Chien-tsung, Ming Cheng, Brendan Hosty, and Amy Xu. "Multivariate regression analysis of airline market recovery in the post-pandemic era." Aeronautics and Aerospace Open Access Journal 7, no. 1 (January 17, 2023): 7–11. http://dx.doi.org/10.15406/aaoaj.2023.07.00164.

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While COVID-19 has substantially affected the airline industry, a business rebound is expected. To better anticipate the needed workforce, this study revisited economic datasets from the Federal Reserve Bank, Bureau of Transportation Statistics (BTS), the Federal Aviation Administration (FAA), and other essential resources to predict the market recovery. VOSviewer and multivariate regression analysis were used to identify critical research clusters and important variables of the emerging market recovery. Minitab was used to run the multivariate regression analysis and the correlation coefficients among selected variables were discovered. The result showed that strongly correlated variables for airline market recovery included Net Domestic Product (NDP), Gross Domestic Product (GDP), and Real Disposable Personal Income (RDPI) in this study.
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21

Nataraja, Sundaram, and Beau Grantham. "RIVALRY AMONGST TOP-FIVE MAJOR AIRLINES IN THE U.S. MARKET." International Journal of Research -GRANTHAALAYAH 8, no. 7 (July 29, 2020): 160–73. http://dx.doi.org/10.29121/granthaalayah.v8.i7.2020.596.

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Understanding the economic characteristics of the U.S. airline industry, assessing the degree of competition/rivalry among the competing airline businesses in the U.S. airline industry, and (3) making recommendations to the airlines and to the consumers of air transportation are the primary objectives of this research study. The authors analyze the rivalry among major U.S. airlines operating in the domestic market using datasets extracted from Bureau of Transportation Statistics for operations during a 12-month period ending in May 2019. Amongst the 17 major U.S. airlines, whose annual operational revenue is over $1 billion, a set of top-five airlines has been identified using the percentage of their marketshare. The research findings indicate that these five major airlines have an intense rivalry in the U.S. domestic market in terms of number of markets served, number of departures made, number of passengers transported, amount of cargo carried, load factor, revenue and cost of operations, profit and loss, and net income earned. Hence, these airlines put pressure on one another and limit each other’s profit potential.
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22

Barla, Philippe. "Market Share Instability In The U.S. Airline Industry." Journal of Applied Business Research (JABR) 15, no. 4 (October 24, 2013): 67. http://dx.doi.org/10.19030/jabr.v15i4.8152.

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In this paper, we use Market Share Instability (MSI) as a measure of the intensity of competition among airlines on a route. Using a panel of 400 U.S. domestic routes over the 1987-1993 period, we try to explain variations in MSI. We find that MSI is higher in moderately concentrated routes and in routes that include a bankrupt carrier. Airport dominance increases MSI if the dominant airline faces small competitors. Finally, we show that MSI was lower in the early nineties than in the late eighties.
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23

Navin, Jordan, Stephan Weiler, and Aaron Anderson. "Wildlife strike cost revelation in the US domestic airline industry." Transportation Research Part D: Transport and Environment 78 (January 2020): 102204. http://dx.doi.org/10.1016/j.trd.2019.102204.

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24

Button, Kenneth. "The impact of US–EU “Open Skies” agreement on airline market structures and airline networks." Journal of Air Transport Management 15, no. 2 (March 2009): 59–71. http://dx.doi.org/10.1016/j.jairtraman.2008.09.010.

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25

Kim, Myongjin, Qi Ge, and Donggeun Kim. "Mergers and labor market outcomes in the US airline industry." Contemporary Economic Policy 39, no. 4 (February 22, 2021): 849–66. http://dx.doi.org/10.1111/coep.12520.

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26

LIU, ZINAN, and E. L. LYNK. "Evidence on market structure of the deregulated US airline industry." Applied Economics 31, no. 9 (September 1999): 1083–92. http://dx.doi.org/10.1080/000368499323562.

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27

Parthasarthy, Raghavan, and C. Gopinath. "The Competitive Environment of the US Domestic Airline Industry in 2010." CASE Journal 8, no. 1 (December 2011): 140–56. http://dx.doi.org/10.1108/tcj-08-2011-b006.

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28

Ferguson, John, Abdul Qadar Kara, Karla Hoffman, and Lance Sherry. "Estimating domestic US airline cost of delay based on European model." Transportation Research Part C: Emerging Technologies 33 (August 2013): 311–23. http://dx.doi.org/10.1016/j.trc.2011.10.003.

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29

JIANG, Hongwei, Glenn S. BAXTER, and Graham WILD. "A STUDY OF CHINA’S MAJOR DOMESTIC AIRLINES’ SERVICE QUALITY AT SHANGHAI’S HONGQIAO AND PUDONG INTERNATIONAL AIRPORTS." Aviation 21, no. 4 (December 21, 2017): 143–54. http://dx.doi.org/10.3846/16487788.2017.1415224.

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In a highly competitive market, service quality can be the core competitive advantage for airline’s profitability and sustained development. This paper has investigated the differences in the passengers’ expectations and perceptions of the service quality of China’s four major domestic airlines: Air China, China Southern Airlines, China Eastern Airlines, and Hainan Airlines in China’s domestic market. The results will assist airline management to improve service quality by reducing the difference. Surveys were conducted with domestic passengers at Shanghai Hongqiao Airport and Shanghai Pudong Airport in China. The results show that there are significant differences of service quality between passengers’ expectations and perceptions among major Chinese airlines. Passengers consistently rate ‘good safety records’ as the first priority of seven SERVQUAL dimensions, but low price remains the most important factor that passengers consider when choosing a Chinese airline. The conclusions reached in this work suggest that Chinese airlines should consider improving service quality rather than providing cheaper air tickets in order to gain competitive advantage.
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30

Park, Sora. "A merger effect on different airline groups: empirical study on the Delta-Northwest merger in 2008." Journal of Transport Literature 8, no. 2 (April 2014): 73–99. http://dx.doi.org/10.1590/s2238-10312014000200004.

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The airline industry has performed inconsistently since deregulation in 1978 and there has been a significant profit discrepancy between legacy airlines and low-cost carriers. Starting from the early 2000s, four of the largest legacy airlines chose to consolidate with an effort to increase efficiency and profitability. Delta Air Lines and Northwest Airlines have consolidated in 2008, becoming the largest commercial airline in the world. This paper examined the merger effect on the airfares on top 1,000 U.S. domestic city-pair routes in relation to the number of passengers, the distance, and the market share as well as its potential anticompetitive issues. All airlines were categorized into three groups - Legacy Airlines, Delta-Northwest, and Low-Cost Carriers - and the interactions between the airfares and the variables were examined within each airline group and across different airline groups. It was found that the airfares of legacy airlines and Delta-Northwest decreased at a faster rate than the low-cost carriers while their market shares increased simultaneously irrespective of whether they offered the lowest prices or had the largest market share on each route.
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31

Mohammadian, Iman, Ahmad Abareshi, Babak Abbasi, and Mark Goh. "Airline capacity decisions under supply-demand equilibrium of Australia’s domestic aviation market." Transportation Research Part A: Policy and Practice 119 (January 2019): 108–21. http://dx.doi.org/10.1016/j.tra.2018.10.039.

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32

Gong, Stephen X. H. "Bankruptcy protection and stock market behavior in the US airline industry." Journal of Air Transport Management 13, no. 4 (July 2007): 213–20. http://dx.doi.org/10.1016/j.jairtraman.2007.03.003.

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Lee, Darin. "Concentration and price trends in the US domestic airline industry: 1990–2000." Journal of Air Transport Management 9, no. 2 (March 2003): 91–101. http://dx.doi.org/10.1016/s0969-6997(02)00046-7.

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34

Chen, Fang-Yuan, Shih-Liang Tu, and Hsin-Erh Wang. "Green Market Segmentation: A Case of Airline Customers in Taiwan." Journal of Sustainable Development 9, no. 1 (January 26, 2016): 99. http://dx.doi.org/10.5539/jsd.v9n1p99.

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<span lang="EN-US">Green marketing has evolved in line with an increase in consumers' concern with the environment. This study explores whether an environmentally-oriented market niche exists within the airline transport market in Taiwan. Based on a survey of 416 airline customers, this study uses factor analysis and cluster analysis to segment customers based on their environmental behaviors. Three distinct clusters were identified (i.e., the environmentally indifferent, the enlightened environmentalists, and the active environmentalists) and further profiled with respect to the socio-demographic, behavioral, and attitudinal characteristics. The results suggest that the segment of green consumers is large enough to warrant airline marketers' attention and the enlightened and the active environmentalists appear to represent the most promising target markets. The practical implications of the findings and future research directions are discussed.</span>
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35

Hannigan, T. J., Robert D. Hamilton III, and Ram Mudambi. "Competition and competitiveness in the US airline industry." Competitiveness Review 25, no. 2 (March 16, 2015): 134–55. http://dx.doi.org/10.1108/cr-11-2014-0036.

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Purpose – This study aims to employ a resource-based lens to explore the competitive implications of firm strategies under conditions of market commonality and shared resource pools. Design/methodology/approach – The firms’ core capabilities in these environments may focus on operational efficiency, as firms seek to compete under significant resource heterogeneity constraints. Findings – Using data from the USA airline industry from 1996-2011, we find that price has a positive relationship with firm performance, whereas quality has a negative relationship. Operational efficiency is a driver of both strategies. Research limitations/implications – The study uses US data. Extending the findings to the global setting may require recognizing other competitive dimensions. Originality/value – Firms that focus on non-core activities perform less well. The results offer insights into an industry that has interested strategy researchers for many years and may suggest an application to other industries with similar characteristics.
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Enomoto, Carl E., Karl R. Geisler, and Sajid A. Noor. "Non-price competition in the US airline industry: a VAR model." Journal of Economic Studies 44, no. 6 (November 13, 2017): 882–94. http://dx.doi.org/10.1108/jes-09-2016-0173.

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Purpose The purpose of this paper is to analyze the extent to which major US airlines respond to one another in quality of service improvements. Design/methodology/approach Utilizing monthly data, the authors estimate a five-equation vector autoregressive model to determine which airline leads or follows others in quality of service improvements. Findings This study found that the five major airlines make interrelated decisions when responding to customer complaints concerning flight problems, over-sales, reservations, ticketing, boarding, and customer service. Every airline either responds to or influences the changes in customer complaints faced by at least one other airline, while some airlines do both. However, only one such relationship was found when examining if airlines change the percent of flight delays they have control over in response to changes in flight delays faced by another airline. Practical implications The number of passenger complaints against an airline can be influenced by the airline, as can the number of carrier-caused flight delays. The industry leaders in responsiveness to consumer complaints are US Airways and United. However, airlines do not, as a group, respond to the carrier-caused delays of their competitors. The prescription to improve airline service vis-à-vis flight delays is simple: tell passengers why flights are delayed. To protect or gain market share, airlines would compete for customers by minimizing flight delays in a similar manor to how they respond to customer complaints. Originality/value No other paper that the authors are aware of has addressed the issue of identifying leaders and followers in the US airline industry regarding changes in service quality as reflected by changes in passenger complaints and flight delays.
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Dana, James D., and Eugene Orlov. "Internet Penetration and Capacity Utilization in the US Airline Industry." American Economic Journal: Microeconomics 6, no. 4 (November 1, 2014): 106–37. http://dx.doi.org/10.1257/mic.6.4.106.

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Airline capacity utilization increased dramatically between 1993 and 2007, after staying fairly level following deregulation in 1978. We argue that consumers' use of the Internet to investigate and purchase airline tickets reduces market frictions and allows airlines to meet demand with less capacity and higher load factors. We find that differences in the rate of change of metropolitan-area Internet penetration are positively correlated with differences in the rate of change of airlines' airport-pair load factors. Consistent with our explanation, this correlation is greater on flights in more competitive markets and on flights with fewer total passengers. (JEL L11, L86, L93, M15)
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38

Bannister, Jennifer, Li-Chin Jennifer Ho, and Xiaoxiao Song. "Equal opportunity market." Review of Accounting and Finance 18, no. 3 (August 12, 2019): 508–31. http://dx.doi.org/10.1108/raf-09-2018-0206.

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Purpose This paper aims to compare US market reactions to the restatement announcements of foreign firms listed in the USA and those of US firms by applying the Capital Market Liability of Foreignness (CMLOF) concept. It further investigates the incremental effect of an improved information environment, proxied by analyst following, on mitigating the negative market reaction to a restatement for foreign vs domestic firms. Design/methodology/approach Regression tests are performed on a matched-sample, which matches foreign and domestic firms based on industry and firm size. Market reaction is defined as three-day abnormal stock returns calculated using a market model. The sources of CMLOF are defined as institutional distance, information costs, unfamiliarity costs and cultural distance. Findings Results suggest that, on average, the magnitude of the market reaction to a restatement is 1.8 per cent lower for foreign firms than for domestic firms. Information and unfamiliarity costs contribute to the differing market reactions. In addition, it appears that the improved information environment created by a higher analyst following is more important for foreign firms who face CMLOF than for domestic firms. Originality/value While prior research establishes a negative market reaction to restatement announcements, comparing the market reactions for foreign and domestic firms provides evidence regarding whether US investors treat foreign and domestic firms differently. Additionally, to the best of the authors’ knowledge, this is the first study that examines CMLOF using restatement announcements.
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Roberts, John, Peter Danaher, Ken Roberts, and Alan Simpson. "Jetstar Airways: How Modeling Guided the Brand Migration Strategy of a Low-Cost Carrier." GfK Marketing Intelligence Review 4, no. 2 (November 1, 2012): 42–51. http://dx.doi.org/10.2478/gfkmir-2014-0034.

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Abstract This article describes the application of a dynamic choice model of consumer preferences. It supported Jetstar, a subsidiary of Australia’s leading airline, QANTAS, to effectively and profitably compete in the low-cost carrier marketplace. The evolution of the Jetstar strategy is traced from its initial position through to its efforts to attain price competitiveness and service parity. The model helped service design and pricing initiatives to shift the perceived performance of Jetstar relative to its competitors. It further indicated how the airline could move market preferences towards areas in which it had competitive advantage. The Jetstar market share went from 14.0 % to 18.1 % during the first five quarterly waves of the research, while profits went from US $ 79 million 2006 / 07, before the study was commissioned, to US $ 124 million in 2008 / 09. Today, Jetstar remains the only successful low-cost offshoot of a full service airline in terms of shareholder returns
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Ma, Wenliang, Qiang Wang, Hangjun Yang, and Yahua Zhang. "An analysis of price competition and price wars in Australia's domestic airline market." Transport Policy 81 (September 2019): 163–72. http://dx.doi.org/10.1016/j.tranpol.2019.06.008.

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41

Singh, Alok Kumar. "Modeling passengers’ future behavioral intentions in airline industry using SEM." Journal of Advances in Management Research 12, no. 2 (August 3, 2015): 107–27. http://dx.doi.org/10.1108/jamr-06-2014-0033.

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Purpose – The purpose of this paper is to examine the interrelationships among the extracted constructs of airline service quality (SQ), perceived image, perceived value, passenger satisfaction and their influence on passengers’ future behavioral intentions in the domestic aviation sector market in Indian context. Design/methodology/approach – A conceptual framework is developed based on previous studies. In order to address a lack of comprehensive evaluation of airline SQ, this study extracted the dimensions of airline SQ and used them in the structural model. The conceptual model is tested using structural equation modeling approach using maximum likelihood estimation technique. A sample of 526 domestic full-service passengers was used to test the hypothesized relationships among the constructs. Findings – Out of the three dimensions of airline SQ extracted, convenience and promptness with reliability dimension of SQ was having a direct influence on perceived image, perceived value and passenger satisfaction which in turn influence BI. The findings of this study indicate the passenger evaluation process flows from perceived image to satisfaction via passenger perceived value and not directly from perceived image to passenger satisfaction. Only passengers’ satisfaction was found to have a direct influence on passengers’ future BI. Originality/value – This study modified SERVPERF instrument for airline settings and empirically validated the instrument using data from Indian domestic passengers. This research adds to the body of knowledge by providing a conceptual framework which gives an empirical insight into the interrelationship among the constructs of airline SQ, perceived image, perceived value, passenger satisfaction and its effects on passenger’s future BI. The conceptual model developed and tested in this paper will act as a reference in forming suitable marketing strategies for airline’s competitive advantage.
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Sidiq, Ben, Mobolaji Stephens, and Wilfred Ukpere. "Significant variables currently influencing air travelers’ preference for domestic airlines in Nigeria." Tourism and Travelling 3, no. 1 (August 19, 2021): 16–24. http://dx.doi.org/10.21511/tt.3(1).2021.03.

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In recent years domestic airlines are improving their services, and the major airlines in Nigeria are ahead of others based on superior strategies; in fact, some airlines are not fully utilized, which affects their profitability, while others are highly utilized. Market dynamics and regulatory forces are the key variables that influence airline attributes, features, and developments, but this is most evident where each airline competes for passengers despite the different route choices and airports of departure. This study aimed to examine the significant variables that are currently influencing air travelers’ preference for domestic airlines in Nigeria. Primary data were obtained through systematic and random sampling of air passengers, and a questionnaire was employed for data analysis. In Lagos and Abuja airports, 757 and 682 questionnaires were administered respectively with 71.1% and 61.9% returned respectively. Regression analysis was utilized to analyze the primary data. The study found that time, safety, and fare are the most influencing factors determining passenger choice of domestic airlines in Nigeria. The current findings are crucial for policymaking, particularly during the phase of airline planning and management especially during the Covid-19 pandemic era that has challenged the economic buoyancy and the purchasing power of passengers.
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43

Kwan, Irene, and Daniel Rutherford. "Assessment of U.S. Domestic Airline Fuel Efficiency since 2010." Transportation Research Record: Journal of the Transportation Research Board 2501, no. 1 (January 2015): 1–8. http://dx.doi.org/10.3141/2501-01.

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Aircraft are responsible for about 2.5% of anthropogenic carbon dioxide (CO2) emissions globally. Total aircraft CO2 emissions are expected to triple by 2050 if present trends continue. Surprisingly little public information is available about the fuel efficiency, and therefore carbon intensity, of U.S. airlines. This research seeks to address this gap by assessing the fuel efficiency of major airlines serving the U.S. domestic market from 2010 to 2012 by using airline-reported fuel and operations data. A frontier model was used to develop an efficiency metric that accounts for the fuel that airlines burn to provide both mobility (passenger miles traveled) and access (frequency of service and number of airports served). Recognizing that many main-line carriers receive service from their regional partners, the fuel efficiency assessment incorporates the fuel and operations of regional carriers into the fuel and operations of their respective main-line carriers. Airlines that operate circuitous routes are also distinguished. Alaska, Spirit, and Southwest were among the most fuel-efficient airlines, in contrast to less-efficient carriers such as Allegiant and American, which consumed an estimated 26% more fuel than Alaska on equivalent operations in 2012. Airlines that were the most efficient overall did not necessarily transport a given passenger more efficiently between each city–city pair, because of differences in technology utilization and operations. From 2010 to 2012, the average rate of improvement was estimated to be 1.1% per year, short of existing climate protection goals, highlighting the importance of continued efforts in both technology and policy to reduce emissions from aviation.
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44

Hu, Yaofeng, Zhan Qi, Di Wang, and Yansen Wu. "Empirical Analysis of the Relationship Between Altman’s Z-Score and Stock Performance Based on Airline Companies Listed in the United States." Proceedings of Business and Economic Studies 5, no. 6 (December 27, 2022): 51–58. http://dx.doi.org/10.26689/pbes.v5i6.4529.

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This research looks at any relevance between Altman’s Z-score and the stock market performance of airline companies in the United States (US). Nearly a thousand pieces of data on various aspects of operation and financial status from 81 airline companies in the US are available. Additionally, stock return is used as an indicator of firm stock performance in this paper. In order to satisfy the purpose of determining the relationship between Z-score and stock performance as well as what may be inferred from high stock returns with regard to Z-score, two different regression processes are carried out. The first regression tests the relationship between Z-score and stock return, while the second regression examines whether there is a difference in Z-scores between well-performing airline companies and poorly performing ones using dummy variables. The results reveal that there is a significant positive correlation between the Z-scores of US airline companies and their stock performance; besides, high stock returns potentially imply relatively high Z-scores and vice versa. Therefore, one of the crucial steps that US airline companies must make is to strengthen their balance sheets in order to draw investors to make investments in their businesses.
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Chonsalasin, Dissakoon, Sajjakaj Jomnonkwao, and Vatanavongs Ratanavaraha. "Key Determinants of Airline Loyalty Modeling in Thailand." Sustainability 12, no. 10 (May 20, 2020): 4165. http://dx.doi.org/10.3390/su12104165.

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The airline industry in Thailand has grown enormously over the past decade. Competition among airline companies to reach market share and profit has been intense, requiring strong strategic abilities. To increase the service quality of such companies, identifying factors related to the context of airlines is important for policymakers. Thus, this study aims to present empirical data on structural factors related to the loyalty of domestic airline passengers. Structural equation modeling was used to confirm the proposed model. The questionnaire was used to survey and collect data from 1600 airline passengers. The results indicate that satisfaction, trust, perceived quality, relationship, and image of airlines positively influenced loyalty with a statistical significance of α = 0.05. Moreover, the study found that expectation and perceived quality indirectly influenced loyalty. The findings provide a reference for airline operators to clearly understand the factors that motivate passenger loyalty, which can be used to develop the sustainability of marketing strategies and support competitiveness.
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46

Jafari, Nahid. "The chaos on US domestic airline passenger demand forecasting caused by COVID-19." International Journal of Business Forecasting and Marketing Intelligence 7, no. 3 (2022): 241. http://dx.doi.org/10.1504/ijbfmi.2022.122901.

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47

Yimga, Jules. "Competition and Schedule Padding in the US Airline Industry." Review of Network Economics 20, no. 1 (March 1, 2021): 1–33. http://dx.doi.org/10.1515/rne-2021-0016.

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Abstract Disclosure programs can help consumers with limited information about product quality make better purchase decisions. A quality disclosure mandate such as the On-Time Disclosure Rule in the U.S. that requires airlines to provide information on the quality of their products can be beneficial, but can also be counterproductive if it encourages airlines to act deceptively by “gaming” the system. If airlines care about public perceptions of their on-time record, they have an incentive to improve their on-time performance ranking by resorting to unscrupulous means such as padding their schedules beyond normal time required to absorb scheduling stochastic fluctuations. This study investigates the impact of competition on airline schedule padding. We construct a measure for schedule padding under different optimal flight time choices. Using different measures of market structure, we find that more competitive (concentrated) markets are subject to less (more) schedule padding.
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48

Rahyuda, I. Ketut, and Ni Putu Cempaka Dharmadewi Atmaja. "PENGARUH KEWAJARAN HARGA, CITRA PERUSAHAAN TERHADAP KEPUASAN DAN LOYALITAS PENGGUNA PENERBANGAN DOMESTIK GIA DI DENPASAR." EKUITAS (Jurnal Ekonomi dan Keuangan) 15, no. 3 (February 8, 2017): 370. http://dx.doi.org/10.24034/j25485024.y2011.v15.i3.2301.

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Competition of airline industry in Indonesia is not only due to globalization, but more because customers are increasingly savvy, price conscious and demanding. Garuda Indonesia as the first airline in Indonesia felt the impact of competitive domestic flight services in Indonesia. Currently the market share of Garuda Indonesia for domestic flights in Indonesia get second rank after the Lion Air who earned a market share of 30 percent. Decline in market share caused by the decline in customer satisfaction on Garuda Indonesia that caused by poor corporate image and price unfairness. Of course this is a lesson for Garuda Indonesia to increase customer satisfaction and loyalty through price fairness and corporate image. This study aims to determine the effect of price fairness and corporate image on customer satisfaction and customer loyalty of Garuda Indonesia's customer in Denpasar (Studies on Garuda Indonesia domestic flight services' customers in Denpasar). The population of this study was all Garuda Indonesia domestic flight passengers, while the sample in this study was 140 respondents using purposive sampling technique for sample determination. To answer the research problem and research hypothesis testing the analytical techniques used Structural Equation Modelling (SEM) using AMOS aid 16. The results showed that 1) the price fairness does not affect customer satisfaction, 2) Corporate image affects customer satisfaction, 3) customer satisfaction affects loyalty, 4) the prices fairness has no effect on customer loyalty, 5) corporate image does not affect on customer loyalty and 6) overall, customer satisfaction is the only construct that can affect customer loyalty
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49

Rahyuda, I. Ketut, and Ni Putu Cempaka Dharmadewi Atmaja. "PENGARUH KEWAJARAN HARGA, CITRA PERUSAHAAN TERHADAP KEPUASAN DAN LOYALITAS PENGGUNA PENERBANGAN DOMESTIK GIA DI DENPASAR." EKUITAS (Jurnal Ekonomi dan Keuangan) 15, no. 3 (September 25, 2018): 370–95. http://dx.doi.org/10.24034/j25485024.y2011.v15.i3.374.

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Competition of airline industry in Indonesia is not only due to globalization, but more because customers are increasingly savvy, price conscious and demanding. Garuda Indonesia as the first airline in Indonesia felt the impact of competitive domestic flight services in Indonesia. Currently the market share of Garuda Indonesia for domestic flights in Indonesia get second rank after the Lion Air who earned a market share of 30 percent. Decline in market share caused by the decline in customer satisfaction on Garuda Indonesia that caused by poor corporate image and price unfairness. Of course this is a lesson for Garuda Indonesia to increase customer satisfaction and loyalty through price fairness and corporate image. This study aims to determine the effect of price fairness and corporate image on customer satisfaction and customer loyalty of Garuda Indonesia's customer in Denpasar (Studies on Garuda Indonesia domestic flight services' customers in Denpasar). The population of this study was all Garuda Indonesia domestic flight passengers, while the sample in this study was 140 respondents using purposive sampling technique for sample determination. To answer the research problem and research hypothesis testing the analytical techniques used Structural Equation Modelling (SEM) using AMOS aid 16. The results showed that 1) the price fairness does not affect customer satisfaction, 2) Corporate image affects customer satisfaction, 3) customer satisfaction affects loyalty, 4) the prices fairness has no effect on customer loyalty, 5) corporate image does not affect on customer loyalty and 6) overall, customer satisfaction is the only construct that can affect customer loyalty.
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50

Bhosale, Neel, Pranav Gole, Hrutuja Handore, Priti Lakde, and Gajanan Arsalwad. "Flight Fare Prediction System Using Machine Learning." International Journal for Research in Applied Science and Engineering Technology 10, no. 5 (May 31, 2022): 1794–801. http://dx.doi.org/10.22214/ijraset.2022.42642.

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Abstract: The Flight ticket prices increase or decrease every now and then depending on various factors like timing of the flights, destination, duration of flights. In the proposed system a predictive model will be created by applying machine learning algorithms to the collected historical data of flights. Optimal timing for airline ticket purchasing from the consumer’s perspective is challenging principally because buyers have insufficient information for reasoning about future price movements. In this project we majorly targeted to uncover underlying trends of flight prices in India using historical data and also to suggest the best time to buy a flight ticket. The project implements the validations or contradictions towards myths regarding the airline industry, a comparison study among various models in predicting the optimal time to buy the flight ticket and the amount that can be saved if done so. Remarkably, the trends of the prices are highly sensitive to the route, month of departure, day of departure, time of departure, whether the day of departure is a holiday and airline carrier. Highly competitive routes like most business routes (tier 1 to tier 1 cities like Mumbai-Delhi) had a non-decreasing trend where prices increased as days to departure decreased, however other routes (tier 1 to tier 2 cities like Delhi - Guwahati) had a specific time frame where the prices are minimum. Moreover, the data also uncovered two basic categories of airline carriers operating in India – the economical group and the luxurious group, and in most cases, the minimum priced flight was a member of the economical group. The data also validated the fact that, there are certain time-periods of the day where the prices are expected to be maximum. The scope of the project can be extensively extended across the various routes to make significant savings on the purchase of flight prices across the Indian Domestic Airline market. Keywords: Flight ticket, Optimal timing, historical data, competitive routes, Indian Domestic Airline market
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