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Journal articles on the topic 'Airline network management'

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Published: 4 June 2021
Last updated: 14 February 2022

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1

Lu, Jin-Long, and Pei-Ya Siao. "Determining the antecedents and consequences of the airline brand personality." Journal of Airline and Airport Management 9, no. 1 (2019): 1. http://dx.doi.org/10.3926/jairm.121.

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Purpose: This study investigates air passengers’ perceptions of the brand personalities of airlines and explores the relationships between the brand personality and its antecedent factor, the country-of-origin of the airlines, and the consequent factor which is the purchase intentions to the corresponding airlines.Design/methodology/approach: The study uses a questionnaire survey containing air passengers’ trip characteristics and demographics and three main scales: country-of-origin, brand personality, and purchase intentions to collect the data of 490 respondents flying from Kaohsiung to Macao. The passengers are from three types of airlines: an international airline with a global network, a regional airline, and a low-cost carrier. The analysis of variance (ANOVA) was conducted to investigate the differences in the perceptions of brand personalities of airlines and several models were developed to determine the antecedent and the consequent factors of airline brand personality.Findings: The air passengers’ perceptions regarding the brand personalities of different types of airlines were significantly different. The country-of-origin of airlines was proved as a significant factor for the brand personality. The brand personality also significantly influenced passengers’ loyalty to the corresponding airlines. Moreover, some demographic and trip characteristics such as personal monthly income, memberships in the airline’s frequent flyer program, and experiences with the airlines were also determined as the significant variables to impact passengers’ loyalties.Originality/value: The concept of brand personality has been explored by various researches but few related to airline management and identified as a key element to brand marketing. Particularly, low-cost carriers always implement different marketing strategies to create a distinctive position in their target customers’ mind and legacy airlines are also doing different things to retain their customers. Therefore, investigating passengers’ perceptions of airlines from the perspective of brand personality is also an important issue for airline management. Not only does this study prove the differences in passengers’ cognitions of brand personalities of a global network airline, a regional network airline, and a low-cost airline but conclude the determinants and influences of the brand personality.
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Wu, Weiwei, Haoyu Zhang, Shengrun Zhang, and Frank Witlox. "Community Detection in Airline Networks: An Empirical Analysis of American vs. Southwest Airlines." Journal of Advanced Transportation 2019 (December 31, 2019): 1–11. http://dx.doi.org/10.1155/2019/3032015.

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In this paper, we develop a route-traffic-based method for detecting community structures in airline networks. Our model is both an application and an extension of the Clauset-Newman-Moore (CNM) modularity maximization algorithm, in that we apply the CNM algorithm to large airline networks, and take both route distance and passenger volumes into account. Therefore, the relationships between airports are defined not only based on the topological structure of the network but also by a traffic-driven indicator. To illustrate our model, two case studies are presented: American Airlines and Southwest Airlines. Results show that the model is effective in exploring the characteristics of the network connections, including the detection of the most influential nodes and communities on the formation of different network structures. This information is important from an airline operation pattern perspective to identify the vulnerability of networks.
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Zhang, Xu, Ming Zhao, Shi Min Kuang, and Qing Du. "Research on Airline Company Fuel-Saving Model Based on Petri Network." Advanced Materials Research 616-618 (December 2012): 1107–10. http://dx.doi.org/10.4028/www.scientific.net/amr.616-618.1107.

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It has become the primary task of the airlines to pay attention to fuel-efficient, deepening the fuel-efficient process, work to strengthen oil saving management, and construct fuel-efficient system to reduce cost pressure and improve the market competitiveness. This paper, aiming at solving the problems existing in airlines fuel saving and cost control management, analyzes airlines internal main business process. By using Petri nets theory and the top-down method in modeling aviation company fuel-efficient engineering system, this paper, based on Petri nets, builds airlines fuel-efficient models and airline management process with its aim at fuel saving, which provides a visual and effective modeling methods and countermeasures for airlines fuel reduction work.
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Vidović, Andrija, Sanja Steiner, and Igor Štimac. "Development Potentials of Low Cost Aviation in the Republic of Croatia." PROMET - Traffic&Transportation 23, no. 6 (2012): 519–27. http://dx.doi.org/10.7307/ptt.v23i6.187.

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The liberalization of the aviation market has enabled low-cost airlines to take over a significant share in the aviation market. Benefits of low-cost models are multiple, both for passengers and for secondary and regional airports, which were neglected in the past and which record significant inflow of passengers with the arrival of low-cost airlines. In the structure of the air traffic in the Republic of Croatia in the last ten years, there has been a progressive growth of foreign low-cost airline operations, which suggests a potential for the operation of a Croatian low-cost airline. This paper defines the criteria applicable to modelling of a low-cost airline in the Republic of Croatia in the relevant context of fleet management, route networking and operator’s processes in traffic technology. It analyzes the dynamics of low-cost airlines operations in the structure of air traffic in Croatia and the impact of traffic on the status of airports and the national operator. KEY WORDS: low-cost airline, traditional airline, airport, route network, fleet management
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Mhlanga, Oswald, Jacobus Steyn, and John Spencer. "The airline industry in South Africa: drivers of operational efficiency and impacts." Tourism Review 73, no. 3 (2018): 389–400. http://dx.doi.org/10.1108/tr-07-2017-0111.

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Purpose The airline industry is structurally challenged by its very nature, because of high overhead and capital costs. This is further exacerbated by macro-predictability and micro-uncertainty, thereby making it difficult for airlines in South Africa to attain operational efficiency. The purpose of this study is to identify drivers of operational efficiency and their impacts on airline performances in South Africa. Design/methodology/approach An extensive data collection using primary and secondary sources enabled the researchers to gather data on all the airlines operating in South Africa, for the period of 2012-2016, on a variety of parameters. A two-stage empirical analysis was carried out, which involved estimation of operational efficiencies during the first stage by using data envelopment analysis (DEA) and determination of performance drivers during the second stage by using a two-way random-effects generalised least squares regression and also a Tobit model. Findings From the study, it is clear that two structural drivers, namely, “aircraft size” and “seat load factor”, and two executional drivers, namely, “low cost business model” and “revenue hours per aircraft”, significantly impacted (p < 0.05) positively on airline efficiencies in South Africa. To improve efficiency, management should first concentrate on the drivers that can be changed in the short-term (executional drivers) and later focus on the drivers that require long-term planning (structural drivers). However, among the structural drivers, only “aircraft families” had a negative impact on airline efficiencies, whilst among executional drivers, only “block hours” negatively impacted on airline efficiencies. Research limitations/implications Despite the importance of this study, it is not free of limitations. Firstly, because of the small size of the industry, fewer airlines and lack of detailed data, the study could not consider other important factors such as optimal routing and network structure. Secondly, although non-aeronautical revenues have become increasingly important in airline management, they were not included in this study. Further studies may investigate the impact of these factors on airline efficiency. Practical implications The results have potential policy implications. Firstly, as the domestic airline market in South Africa is too small to operate with a smaller aircraft efficiently, airlines that intend to make use of smaller aircraft should first identify niche markets where they can have a route monopoly, such as SA Airlink. Secondly, as block time negatively affected airline efficiency, airlines can undertake schedule adjustments to reduce block time and thus improve technical efficiency. Originality/value This paper is a first attempt to identify drivers of operational efficiency in the airline industry in South Africa. The results indicate that DEA is a useful tool to identify factors impacting airline efficiency and could improve airline performances in South Africa.
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Low, Joyce, and Kum Khiong Yang. "Understanding the operating landscape of the global airline industry: A DEA integrated alternating conditional expectation approach." Journal of Airline and Airport Management 9, no. 2 (2019): 27. http://dx.doi.org/10.3926/jairm.126.

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Purpose: This study investigates the relationships between service efficiency in 5 major cost centres (namely, business orientation, network coverage, physical resources, maintenance, repair and overhaul (MRO), and human resources) and profitability in the global airline industry.Design/methodology/approach: The study integrates the Slack-based Model (SBM) of Data Envelopment Analysis (DEA) with the Alternating Conditional Expectation (ACE) regression to understand the relationships between an airline’s profitability and its efficiencies in 5 identified operations areas.Findings: Based on the observational data obtained from 75 international airlines, the relationships between operational performances and profitability are found to be curvilinear and contingent on an airline’s operating model.Research limitations/implications: The omission of non-IATA airlines and many low cost carriers may hinder a holistic view of the airline industry.Practical implications: Management can influence the profitability of an airline through its strategic operations decisions that affect an airline’s cost, service quality, and financial structure after the influences of location and size have set the stage. Airlines pursuing cost leadership should seek to increase productivity especially in MRO, human resources and physical resources; whereas airlines pursuing service differentiation may choose to provide quality service at lower efficiencies or pursue an approach to improve quality and efficiencies simultaneously.Originality/value: Identifying operations practices that are consistent with a firm’s competitive priorities is important in the multifaceted service environment today. An integrated SBM-ACE regression model, which permits different input-output mix, variable return to scale and non-linear relationship, is proposed and applied to analyze the profit impact of service efficiencies in the five key operations areas.
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Jin, Ying, Ye Wei, Chunliang Xiu, Wei Song, and Kaixian Yang. "Study on Structural Characteristics of China’s Passenger Airline Network Based on Network Motifs Analysis." Sustainability 11, no. 9 (2019): 2484. http://dx.doi.org/10.3390/su11092484.

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The air passenger transport network system is an important agent of social and economic connections between cities. Studying on the airline network structure and providing optimization strategies can improve the airline industry sustainability evolution. As basic building blocks of broad networks, the concept of network motifs is cited in this paper to apply to the structural characteristic analysis of the passenger airline network. The ENUMERATE SUBGRAPHS (G, k) algorithm is used to identify the motifs and anti-motifs of the passenger airline network in China. A total of 37 airline companies are subjected to motif identification and exploring the structural and functional characteristics of the airline networks corresponding to different motifs. These 37 airline companies are classified according to the motif concentration curves into three development stages, which include mono-centric divergence companies at the low-level development stage, transitional companies at the intermediate development stage, and multi-centric and hierarchical companies at the advanced development stage. Finally, we found that adjusting the number of proper network motifs is useful to optimize the overall structure of airline networks, which is profitable for air transport sustainable development.
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Lederer, Phillip J., and Ramakrishnan S. Nambimadom. "Airline Network Design." Operations Research 46, no. 6 (1998): 785–804. http://dx.doi.org/10.1287/opre.46.6.785.

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You, Peng-Sheng. "Airline seat management with round-trip requests." Yugoslav Journal of Operations Research 14, no. 2 (2004): 155–70. http://dx.doi.org/10.2298/yjor0402155y.

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Consider a multi-period multi-fare class airline booking problem related to a two-leg airline network. Travel requests include outbound, inbound trip, and round trips. The round-trip refers to a journey comprising both outbound and inbound trips. To develop a dynamic-nested booking decision-making system for the airline network, this study designs a dynamic model that enables the airline reservations system to devise a set of dynamic decision rules for any given booking status. The booking process is found to be controlled by some set of booking thresholds.
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Bahadir, Cuneyt, and Adem Karahoca. "Airline revenue management via data mining." Global Journal of Information Technology: Emerging Technologies 7, no. 3 (2017): 128–48. http://dx.doi.org/10.18844/gjit.v7i3.2834.

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Revenue maximisation has been of paramount interest in the airline industry during the past few decades, and numerous studies have been reported, aiming at robust analyses. Principal analysis techniques in most of these studies include computational-based prediction algorithms that are used for a given dataset. In this study, airline specific data, which consists of cabin class passenger data, cabin class supplied capacity data, distance of flights, season, year –month data and revenue data, are analysed using various prediction algorithms. Consistencies and accuracies of different algorithms are compared and reported.Keywords: Airline industry, airline revenue data, prediction algorithms, Weka, Bayesian network, sequential minimaloptimisation, support vector machines, multilayer perceptron, radial basis function network.
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11

Jiang, Houyuan, and Giovanna Miglionico. "Airline network revenue management with buy-up." Optimization 63, no. 6 (2014): 849–65. http://dx.doi.org/10.1080/02331934.2014.896079.

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Lapp, Marcial, and Larry Weatherford. "Airline network revenue management: Considerations for implementation." Journal of Revenue and Pricing Management 13, no. 2 (2013): 83–112. http://dx.doi.org/10.1057/rpm.2013.33.

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Grammig, Joachim, Reinhard Hujer, and Michael Scheidler. "Discrete choice modelling in airline network management." Journal of Applied Econometrics 20, no. 4 (2005): 467–86. http://dx.doi.org/10.1002/jae.799.

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Shadiyar, Aralbayeva, Hyun-Jeong Ban, and Hak-Seon Kim. "Extracting Key Drivers of Air Passenger’s Experience and Satisfaction through Online Review Analysis." Sustainability 12, no. 21 (2020): 9188. http://dx.doi.org/10.3390/su12219188.

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This study compared the competitiveness of the Commonwealth Independent State Airlines (Azerbaijan Airlines, Air Astana, Aeroflot) with Korean airlines (Asiana Airlines, Korean Air) using customer online reviews through big data analytics. The purpose of this study was to get the understanding of airline issues, especially the relationship between airline traveler experience and satisfaction. This study also shows which group has a better service and is more developed and provides significant and social network-oriented suggestions for another group of airlines. Data were collected from Skytrax and the collected reviews were written from January 2011 to March 2019. The size of the dataset was 1693 reviews, and a total of 199,469 words were extracted. As part of the qualitative analysis method, semantic network analysis through text mining was performed, and linear regression analysis was conducted using SPSS as part of the quantitative analysis method. This study shows which group of airlines has a better service and provides significant and social network-oriented suggestions for another group of airlines. The common concerns, as well as special features for different airlines, can also be extracted from online review data.
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Morrell, Peter. "Airlines within airlines: An analysis of US network airline responses to Low Cost Carriers." Journal of Air Transport Management 11, no. 5 (2005): 303–12. http://dx.doi.org/10.1016/j.jairtraman.2005.07.002.

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Wu, Weiwei, Haoyu Zhang, Tao Feng, and Frank Witlox. "A Network Modelling Approach to Flight Delay Propagation: Some Empirical Evidence from China." Sustainability 11, no. 16 (2019): 4408. http://dx.doi.org/10.3390/su11164408.

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This paper examines flight delay propagation in air transport networks. Delays add to additional costs, inefficiencies, and unsustainable development. An integrated flight-based susceptible-infected-susceptible (FSIS) model was developed to analyse the flight delay process from a network-based perspective. The probability of flight delay propagation was determined using a translog model. The model was applied to an airline network consisting of thirty-three routes involving three airlines. The results show that the propagation probability is network-related and varies across different routes. The variation is related to the flight frequencies at airports, route distances, scheduled buffer times, and the propagated delay time. Whereas buffer time has a greater impact on smaller airports, flight movement has a greater impact on larger airports. Having a better understanding of how delays happen can help the development of strategies to avoid them. This will lead to less costs, higher efficiencies, and more sustainable airport and airline development.
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Möller, Andris, Werner Römisch, and Klaus Weber. "Airline network revenue management by multistage stochastic programming." Computational Management Science 5, no. 4 (2007): 355–77. http://dx.doi.org/10.1007/s10287-007-0058-8.

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Liasidou, Sotiroula. "Drafting a realistic tourism policy: the airlines’ strategic influence." Tourism Review 72, no. 1 (2017): 28–44. http://dx.doi.org/10.1108/tr-10-2016-0044.

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Purpose In tourism literature, policy is synonymous with the involvement of the government in terms of planning, developing and organising the destination. In the case of the airline industry, policy is verified by a supranational body, the European Union, which sets outs guidelines for all member states. This paper aims to examine how the tourism policy and planning in Cyprus is formulated in an attempt to understand the strategic response of the airlines in the way they fulfil the aims of the tourism strategy. Design/methodology/approach The primary data are based on the results of 25 semi-structured, in-depth interviews with powerful and elite tourism and airline decision makers in Cyprus. Findings The results of the research suggest that the tourism policy should take into more consideration and develop strategic synergies and have tighter links with airlines companies in terms of planning and policy formation. This will enable the destination and the government to provide more realistic targets in tourism policies especially in islands. The airline network can both increase the number of arrival and diversify the demand all year round and offer more economic opportunities. Originality/value The study addresses two important aspects in terms of tourism development. The first is the policy initiative and the second is the role of the airlines’ for the purpose of tourism. Interrelation between tourism policies and airline developments are rather neglected in the tourism literature. Thus, this study highlights the point that in destination planning especially on islands, the airline decision-makers should participate in the policy making process and set more realistic targets. Additionally, airlines play an important role for destinations reaching numerical targets.
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Tretheway, Michael W. "Distortions of airline revenues: why the network airline business model is broken." Journal of Air Transport Management 10, no. 1 (2004): 3–14. http://dx.doi.org/10.1016/j.jairtraman.2003.10.010.

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Mhlanga, Oswald. "Drivers of efficiency and their influence on airline performances in South Africa: a bootstrapped meta-frontier approach." International Journal of Culture, Tourism and Hospitality Research 14, no. 1 (2019): 121–35. http://dx.doi.org/10.1108/ijcthr-06-2019-0109.

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Purpose This paper aims to identify drivers of efficiency and their influence on airline performances in South Africa. Unfortunately, the methods currently used to measure airline efficiency fail to address the heterogeneity problem, which blurs inefficiency. Design/methodology/approach To remedy the heterogeneity problem, this paper adopts the meta-frontier framework to identify drivers of efficiency. The interesting feature of the model is that it ensures that heterogeneous airlines are compared based on one homogeneous technology. The model is tested using a panel data sample of nine South African airlines, which operated from 2015 to 2018. Findings The paper demonstrates that structural drivers, namely, “aircraft size”, and “airline ownership” and one executional driver, namely, “the cost structure” significantly influence (p < 0.05) airline efficiency thereby corroborating evidence from some prior studies. Research limitations/implications First, because of the small size of the industry, fewer airlines and a lack of detailed data, the study could not consider other important factors such as optimal routing and network structure. Second, a more rigorous analysis over a period of time would yield better understanding about the growth of the industry in South Africa and recognise the variation in the influence of drivers of efficiency on airline performances over time. Practical implications The results have potential policy implications. First, as the market in South Africa is too small to operate with a smaller aircraft probably, for airlines that operate with smaller aircraft to operate efficiently they should first identify niche markets where they can have a route monopoly. Second, while all state-owned airlines are perfect statehood symbols that define and represent countries, most state carriers in South Africa are highly inefficient. The researcher recommends policymakers to privatise state airlines or seek equity partners. Many nationalised airlines have turned losses to profits in the run-up to privatisation. British Airways, once a large burden on the British taxpayer, is now one of the world’s most efficient airlines. After the privatisation of Air France and Iberia, all two turned from loss-making concerns into profitable airlines. It, therefore, makes no sense for the South African government to expect state carriers to pursue a commercial mandate with such political interference. The very notion of efficiency itself is at risk. Originality/value This paper is a first attempt to identify drivers of operational efficiency using a bootstrapped meta-frontier approach in the airline industry in South Africa. By applying the meta-frontier approach the paper ensures that all heterogeneous airlines are assessed based on their distance from a common and identical frontier.
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Du, Wen-Bo, Xing-Lian Zhou, Oriol Lordan, Zhen Wang, Chen Zhao, and Yan-Bo Zhu. "Analysis of the Chinese Airline Network as multi-layer networks." Transportation Research Part E: Logistics and Transportation Review 89 (May 2016): 108–16. http://dx.doi.org/10.1016/j.tre.2016.03.009.

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Oancea, Octavian. "Analytical framework for airline revenue management and network planning." Journal of Revenue and Pricing Management 15, no. 1 (2015): 2–19. http://dx.doi.org/10.1057/rpm.2015.39.

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Terciyanlı, Erman, and Zeynep Müge Avṣar. "Alternative risk-averse approaches for airline network revenue management." Transportation Research Part E: Logistics and Transportation Review 125 (May 2019): 27–46. http://dx.doi.org/10.1016/j.tre.2019.02.002.

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Venkataraman, Sri Vanamalla, Ankit Kaushik, and Siddharth Mishra. "A network group booking model for airline revenue management." Journal of Modelling in Management 16, no. 3 (2021): 861–903. http://dx.doi.org/10.1108/jm2-06-2020-0175.

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Purpose Airlines use various analytical techniques to optimally control seats in its various fare classes. Most literature on inventory control does not discuss policies for group arrivals. This study aims to address the literature gap in determining an optimal booking policy which considers the dynamics of group behaviour with respect to cancellations and refunds. Design/methodology/approach An analytical model by which bid price control mechanism can be applied to group bookings is developed through this study. Findings Numerical experiments are performed to demonstrate the analytical model under various scenarios. A comparison of the model with the traditional model indicates an increase in the total revenue generated. Originality/value The novelty of this work is in modelling the dynamics of group behaviour in a network of flights, and it contributes to the literature on revenue management.
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Baxter, Glenn, Panarat Srisaeng, and Graham Wild. "A Qualitative Assessment of a Full-Service Network Airline Sustainable Energy Management: The Case of Finnair PLC." WSEAS TRANSACTIONS ON ENVIRONMENT AND DEVELOPMENT 17 (March 2, 2021): 167–80. http://dx.doi.org/10.37394/232015.2021.17.17.

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Airlines are extremely energy intensive. Around the world airlines are increasingly focusing on the environmentally sustainable energy management. Using a qualitative longitudinal case study research approach, this study examines Finnair’s sustainable energy management over the period 2010 to 2019. The airline’s major energy source is jet fuel used for the operation of the airline’s aircraft fleet and the electricity which is used to power its facilities located at Helsinki Airport. The study found that Finnair’s annual jet fuel consumption has grown throughout the study due to the airline’s route network and aircraft fleet expansion. The fuel required for ground vehicles has risen reflecting greater operational requirements due to the company’s expansion. The annual consumption of electricity and electricity for heating has displayed a general downward trend during the study period. The annual electricity per passenger has also decreased despite the large growth in passenger numbers. Finnair has increased its use of renewable energy sources for its flight and ground operations. A key energy saving strategy has been the acquisition and operation of a modern state-of-the-art, fuel efficient aircraft fleet.
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Tu, Ningwen, Zhi-Chun Li, Xiaowen Fu, and Zheng Lei. "Airline network competition in inter-continental market." Transportation Research Part E: Logistics and Transportation Review 143 (November 2020): 102117. http://dx.doi.org/10.1016/j.tre.2020.102117.

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Wen, Yuh-Horng, and Chaug-Ing Hsu. "Interactive multiobjective programming in airline network design for international airline code-share alliance." European Journal of Operational Research 174, no. 1 (2006): 404–26. http://dx.doi.org/10.1016/j.ejor.2005.02.040.

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Chanpariyavatevong, Kattreeya, Warit Wipulanusat, Thanapong Champahom, Sajjakaj Jomnonkwao, Dissakoon Chonsalasin, and Vatanavongs Ratanavaraha. "Predicting Airline Customer Loyalty by Integrating Structural Equation Modeling and Bayesian Networks." Sustainability 13, no. 13 (2021): 7046. http://dx.doi.org/10.3390/su13137046.

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The aviation industry has grown rapidly worldwide and is struggling against intense competition. Especially in Thailand, the compound annual growth rate of passengers traveling by air has increased continuously over the past decade. Unfortunately, during the past two years, the ongoing COVID-19 pandemic has caused severe economic crises for nearly all businesses and industries, including the aviation industry and especially for passenger airlines whose number of customers has decreased astoundingly due to travel restriction. To maintain business stability, therefore, airlines must build customer loyalty to survive in times of crisis. This study thus examines critical factors’ impact on airline loyalty by using a Bayesian network (BN) derived from a structural equation modeling (SEM). The study integrates the SEM and BN to refine causal relationships between critical factors, identified as critical pathways. Findings reveal that customer satisfaction and customer trust, followed by perceived value, dramatically influence customer loyalty and so are considered priorities for building airlines’ customer loyalty. This study also recommends practical strategies and policies to improve customer loyalty amid the competitive airline business during and after the COVID-19 era.
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Silva, Hugo E., Erik T. Verhoef, and Vincent A. C. van den Berg. "Airline route structure competition and network policy." Transportation Research Part B: Methodological 67 (September 2014): 320–43. http://dx.doi.org/10.1016/j.trb.2014.05.012.

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Mou, Deyi, and Xiaoxin Wang. "Uncertain Programming for Network Revenue Management." Mathematical Problems in Engineering 2014 (2014): 1–11. http://dx.doi.org/10.1155/2014/187275.

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The mathematical model for airline network seat inventory control problem is usually investigated to maximize the total revenue under some constraints such as capacities and demands. This paper presents a chance-constrained programming model based on the uncertainty theory for network revenue management, in which the fares and the demands are both uncertain variables rather than random variables. The uncertain programming model can be transformed into a deterministic form by taking expected value on objective function and confidence level on the constraint functions. Based on the strategy of nested booking limits, a solution method of booking control is developed to solve the problem. Finally, this paper gives a numerical example to show that the method is practical and efficient.
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Gönsch, Jochen, and Claudius Steinhardt. "On the incorporation of upgrades into airline network revenue management." Review of Managerial Science 9, no. 4 (2014): 635–60. http://dx.doi.org/10.1007/s11846-014-0129-5.

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Ban, Hyun-Jeong, and Hak-Seon Kim. "Understanding Customer Experience and Satisfaction through Airline Passengers’ Online Review." Sustainability 11, no. 15 (2019): 4066. http://dx.doi.org/10.3390/su11154066.

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This study was conducted to understand customer experience and satisfaction through airline passengers’ online review. To achieve the purpose of this study, the semantic network analysis was conducted qualitatively by collecting reviews in top 10 airlines selected by Skytrax (airlinequality.com). In addition, this study quantitatively identified the relationship among six evaluation factors (seat comfort, staff, food and beverage (F&B), entertainment, ground service, and value for money), customer satisfaction and recommendation. This study collected 9632 reviews from the Skytrax. Through a CONCOR (CONvergence of iterated CORrelation) analysis, keywords were grouped into six clusters (seat comfort, staff, entertainment, ground service, value for money, and airline brand). Through the linear regression analysis, all evaluation factors except ‘entertainment’ factor significantly had impact on customer satisfaction and recommendation. These results showed that understanding online review can provide both academic implication and practical implication to develop sustainable strategy in the airline industry.
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Albers, Sascha, Jan-André Bühne, and Heiko Peters. "Will the EU-ETS instigate airline network reconfigurations?" Journal of Air Transport Management 15, no. 1 (2009): 1–6. http://dx.doi.org/10.1016/j.jairtraman.2008.09.013.

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Soumis, François, and Anna Nagurney. "A Stochastic, Multiclass Airline Network Equilibrium Model." Operations Research 41, no. 4 (1993): 721–30. http://dx.doi.org/10.1287/opre.41.4.721.

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Klophaus, Richard, and Oriol Lordan. "Codesharing network vulnerability of global airline alliances." Transportation Research Part A: Policy and Practice 111 (May 2018): 1–10. http://dx.doi.org/10.1016/j.tra.2018.02.010.

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Yamak, Kamil Oygur. "Project Planning for Opening New Destinations for Global Air Carriers." Journal of Asian Research 2, no. 3 (2018): 139. http://dx.doi.org/10.22158/jar.v2n3p139.

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<em>Announcing new flight routes for promising overseas destinations is a sign of stepping into global business for airlines. Opening new flight lines means expanding the product line for any airline. New destinations in turn mean gaining new customers while retaining the existing ones. That is the main reason why global airlines continually seek for new destinations to extend their flight network. This process is a very complex one with a lot tasks and resource requirements. The projected opening date sets the deadline for all the activities. Project management principles needs to be employed to meet these deadlines in order not to experience any delay. To illustrate this problem a new destination project for Turkish Airlines (THY) is explored in detail. THY, as a global network carrier, is planning to expand its operations spectrum and in achieving that makes intensive use of PERT method. This process is illustrated briefly in the paper.</em>
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37

Topaloglu, Huseyin. "A duality based approach for network revenue management in airline alliances." Journal of Revenue and Pricing Management 11, no. 5 (2012): 500–517. http://dx.doi.org/10.1057/rpm.2012.8.

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38

Li, Jingying, Alberto Garcia Diaz, and Joseph Hubert Wilck IV. "A discrete-time dynamic programming approach for network airline revenue management." International Journal of Information and Decision Sciences 6, no. 1 (2014): 1. http://dx.doi.org/10.1504/ijids.2014.059732.

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39

Dennis, Nigel. "Scheduling issues and network strategies for international airline alliances." Journal of Air Transport Management 6, no. 2 (2000): 75–85. http://dx.doi.org/10.1016/s0969-6997(99)00027-7.

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40

Dennis, Nigel. "Industry consolidation and future airline network structures in Europe." Journal of Air Transport Management 11, no. 3 (2005): 175–83. http://dx.doi.org/10.1016/j.jairtraman.2004.07.004.

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41

Singh, Balgopal. "Predicting airline passengers’ loyalty using artificial neural network theory." Journal of Air Transport Management 94 (July 2021): 102080. http://dx.doi.org/10.1016/j.jairtraman.2021.102080.

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42

Hermoso, Ramon, M. Pilar Latorre, and Margarita Martinez-Nuñez. "Multivariate Data Envelopment Analysis to Measure Airline Efficiency in European Airspace: A Network-Based Approach." Applied Sciences 9, no. 24 (2019): 5312. http://dx.doi.org/10.3390/app9245312.

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In this paper, data envelopment analysis (DEA) is applied to exhaustively examine the efficiency of the main airline companies in the European airspace by using novel input/output parameters: business management factors, network analysis metrics, as well as social media estimators. Furthermore, we also use network analysis to provide a better differentiation among efficiency values. Results indicate that user engagement, as well as the analysis of the position within the airspace-from an operative perspective, influence the efficiency of the airline companies, allowing a more comprehensive understanding of its functioning.
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43

Hao, Jingjing, Ling Zhang, Xiaofeng Ji, Xiaolong Wu, and Lan Liu. "Investigating the Accessibility between Civil Airports and Tourist Locations in Tourist Cities in Yunnan Province, China." Sustainability 12, no. 10 (2020): 3963. http://dx.doi.org/10.3390/su12103963.

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Coordinated development between landside transport at civil airports and aviation networks is key for determining the attractiveness and competition of tourist cities. However, only a few studies have focused on the accessibility of tourist locations around civil airports in tourist cities in China. This paper calculates the service coverage of civil airports for tourist locations in Yunnan in selected years, consisting of 2000, 2005, 2010, and 2015, by using an accessibility calculation method with the shortest path and a spatial analysis method in ArcGIS software. The results are compared with the structural characteristics of the aviation network in corresponding years. Additionally, some suggestions are given regarding transportation development and sustainable environmental development in tourist cities. The findings show that the service coverage of civil airports in Yunnan has gradually improved over time. Specifically, 83.41% of tourist locations can be reached within 1.5 h of driving from an airport, and all tourist destinations could be reached within 3 h in 2015. Among all civil airports, the airports in the hub city of Kunming and at world-renowned tourist destinations such as Dali and Lijiang displayed the highest airport service capabilities for tourist locations. Meanwhile, the aviation network of Yunnan Province is constantly improving with an increased number of airports and airlines, and it shows the centralization trend toward KMG. However, the mismatch is observed not only in tourist cities with hub airports, such as Kunming, but also in some cities located in remote areas (i.e., far from the central city). This finding reveals that in these tourist cities in Yunnan, the development of airport transport has not considered coordination between the airline network and the service coverage of civil airports for tourist locations. For the sustainable development of tourist cities, the equal importance of airport landside transport and the airline network in the planning and management of air transport should be emphasized.
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Hou, Yan-Ting, Jia-Zhen Huo, and Feng Chu. "An Integrated Problem of p-Hub Location and Revenue Management with Multiple Capacity Levels under Disruptions." Journal of Advanced Transportation 2019 (April 1, 2019): 1–14. http://dx.doi.org/10.1155/2019/1812543.

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This paper considers an integrated hub location and revenue management problem in which a set of capacities is available from which one can be chosen for each hub and the disruption is considered in a star-star shaped airline network. We propose a two-stage stochastic programming model to maximize the profit of the network in which the cost of installing the hubs at different levels of capacities, the transportation cost, and the revenue obtained by selling airline tickets are considered. To provide flexible solutions, a hybrid two-stage stochastic programming-robust optimization model is developed by putting relative emphasis on a weighted sum of profit maximization. Furthermore, a sample average approximation approach is used for solving the stochastic programming formulation and a genetic algorithm approach is applied for both formulations. Numerical experiments are conducted to verify the mathematical formulations and compare the performance of the used approaches.
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Rahman, Mostafijur, and Ruhul Amin. "Artificial Intelligence Waves on Space Computation Management: A Review Report." Engineering International 8, no. 2 (2020): 53–60. http://dx.doi.org/10.18034/ei.v8i2.500.

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When writing about the history of the internet, it is important to note that aerospace was among the significant pioneers in computer networking computer network for private was used in first airline reservation system “SABRE” in 1960 for American airlines. While sage was the first computer system in the world, its deficiencies led to the development of ARPANET. These systems formed the foundations for the internet and the development of other computer programs in aerospace, any deficiency led to the invention of a new program, giving birth to programming, CAD, and CAM that brought about simulations. Aerospace computing has evolved over the years and is now carrying the whole weight of the aerospace industry. Before the launch of any space vehicle or satellite, simulation has become a necessary step, checking for weaknesses for corrections to be done on the ground. Besides, computer simulation has been essential in training, facilitating the training of pilots worldwide. This article presents more information regarding the application of AI in aerospace computing, flight simulations, and their advantages in the aerospace industry.
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Lian, Jon Inge. "Network dependency and airline competition – Consequences for remote areas in Norway." Journal of Air Transport Management 16, no. 3 (2010): 137–43. http://dx.doi.org/10.1016/j.jairtraman.2009.07.007.

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Punel, Aymeric, and Alireza Ermagun. "Using Twitter network to detect market segments in the airline industry." Journal of Air Transport Management 73 (October 2018): 67–76. http://dx.doi.org/10.1016/j.jairtraman.2018.08.004.

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48

Ciliberto, Federico, Emily E. Cook, and Jonathan W. Williams. "Network Structure and Consolidation in the U.S. Airline Industry, 1990–2015." Review of Industrial Organization 54, no. 1 (2018): 3–36. http://dx.doi.org/10.1007/s11151-018-9635-y.

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49

Wang, Ying, Kevin Kam Fung So, and Beverley A. Sparks. "What Technology-Enabled Services Do Air Travelers Value? Investigating the Role of Technology Readiness." Journal of Hospitality & Tourism Research 41, no. 7 (2014): 771–96. http://dx.doi.org/10.1177/1096348014538050.

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An increasing use of technology in service delivery presents challenges for businesses, in particular in relation to how customers perceive specific technology-enabled services (TESs) and which TESs they embrace. This study investigates the influence of technology readiness (TR) on travelers’ perceived importance of various airline TESs. Results reveal three categories of TESs: Established, Network Access, and New. Two dimensions of TR—Optimism and Innovativeness—were significantly associated with the perceived importance of TESs. Respondents who reported higher levels of Optimism rated Established TESs as particularly important. In contrast, respondents high on Innovativeness rated Network Access and New TESs as more important. The association between TR dimensions and perceived importance of TESs was more evident in customers of low-cost carriers than in customers of full-service airlines. This study contributes to the TES and TR literature by explaining why a TES may be more (or less) important to different customers through the association of the TR construct.
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Birbil, Ş. İlker, J. B. G. Frenk, Joaquim A. S. Gromicho, and Shuzhong Zhang. "A Network Airline Revenue Management Framework Based on Decomposition by Origins and Destinations." Transportation Science 48, no. 3 (2014): 313–33. http://dx.doi.org/10.1287/trsc.2013.0469.

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