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Journal articles on the topic 'Airline Segmentation'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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1

Nagdev, Kris. "EVALUVATION OF SINGAPORE AIRLINES USE OF NICHE MARKETING TO GROW IN THE AMERICAN MARKET." International Journal of Advanced Research 9, no. 01 (2021): 218–39. http://dx.doi.org/10.21474/ijar01/12299.

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Singapore Airlines is a globally established airline operating out of Singapore. They have a fleet of 129 aircraft flying on 62 routes around the world. In 2018, they were ranked as the worldÃ‚Â’s best airline by Skytrax. In the early 2010s, in accordance with the ambition to grow, Singapore Airlines expanded the American market with flights to the USA. This posed a challenge for the airline because of the geographical distance between Singapore and North America With the A350-900 ULR, Singapore Airlines restarted its route to New York with the same ambition of expanding into the American mark

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Shivani, Lilender. "AIRLINE PRICING: HOW AIRLINES USE PRICING STRATGEIES." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 04 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem31778.

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Airline pricing strategies play a pivotal role in the aviation industry's revenue management. This abstract explores the intricate mechanisms behind airline pricing, delving into the fundamental principles, factors, and techniques utilized by airlines to set fares. Drawing from a combination of academic research, industry reports, and real-world examples, this abstract provides a concise overview of the dynamic landscape of airline pricing. The abstract begins by elucidating the core objectives of airline pricing strategies, emphasizing the dual goals of maximizing revenue and optimizing capac

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Wei, Li Feng. "Design and Implementation of Airline Customer Segmentation System Based on Ant Colony Clustering Algorithm." Advanced Materials Research 433-440 (January 2012): 3357–61. http://dx.doi.org/10.4028/www.scientific.net/amr.433-440.3357.

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Segmentation based on customer value and needs can better guide marketing decision-making of airlines as well as better understand needs of high-value passengers. To address customer segmentation in Customer Relationship Management (CRM), the paper proposed and designed airline customer segmentation system structure based on ant colony clustering. The key ant colony clustering algorithm was also designed and implemented. The ant colony clustering algorithm mainly used adaptively adjusted group similarity to perform clustering and access to initial clustering result. Then all data representatio

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Chao, Ching-Cheng, Taih-Cherng Lirn, and Kuo-Chung Shang. "Market segmentation of airline cargo transport." Service Industries Journal 33, no. 15-16 (2013): 1672–85. http://dx.doi.org/10.1080/02642069.2011.638920.

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Stoenescu, Cristina, and Camelia Monica Gheorghe. "Hybrid” airlines – Generating value between low-cost and traditional." Proceedings of the International Conference on Business Excellence 11, no. 1 (2017): 577–87. http://dx.doi.org/10.1515/picbe-2017-0062.

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Abstract Over the last years, the rise of low-cost airlines has determined significant changes in the airline industry and has shaped the evolution of the existing business models. Low-cost airlines started by offering basic services at very low prices; traditional airlines responded by equally cutting costs and reinventing the services offered, with an orientation towards braking down the fare and implementing add-ons, in order to become cost-efficient. As traditional airlines developed strategies to become competitive in this new environment, low-cost airlines started focusing on new ways of

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CHEN, JOSPEH S., and SEYOU JANG. "PROFILING AIRLINE WEB USERS: A SEGMENTATION APPROACH." Tourism Analysis 8, no. 2 (2003): 223–26. http://dx.doi.org/10.3727/108354203774076779.

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Bruning, Edward R., Mary L. Kovacic, and Larry E. Oberdick. "Segmentation analysis of domestic airline passenger markets." Journal of the Academy of Marketing Science 13, no. 1-2 (1985): 17–31. http://dx.doi.org/10.1007/bf02729703.

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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 (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-d

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Verwer, Tim P., and Linda M. Kamp. "How to manage global partner relationships to achieve sustainability goals: A decision support system using the Best-Worst Method and applied to cargo airlines." Journal of Supply Chain Management Science 5, no. 3-4 (2024): 89–116. https://doi.org/10.59490/jscms.2024.7845.

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The urgency of sustainability in aviation has led to a focus on operational activities, especially in the global supply chain of cargo airlines. This study introduces a Decision Support System (DSS) to improve Partner Relationship Management. The DSS helps partners work toward sustainability goals. It uses the Best-Worst Method in a Multi-Criteria Decision-Making framework. The DSS segments partners based on their sustainability capabilities and willingness. It also proposes targeted strategies. The system was applied to a cargo airline aiming for zero emissions and zero waste, managing Ground

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Teichert, Thorsten, Edlira Shehu, and Iwan von Wartburg. "Customer segmentation revisited: The case of the airline industry." Transportation Research Part A: Policy and Practice 42, no. 1 (2008): 227–42. http://dx.doi.org/10.1016/j.tra.2007.08.003.

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Naruetharadhol, Phaninee, Sasichakorn Wongsaichia, Shenying Zhang, Chanchai Phonthanukitithaworn, and Chavis Ketkaew. "Understanding Consumer Buying Intention of E-Commerce Airfares Based on Multivariate Demographic Segmentation: A Multigroup Structural Equation Modeling Approach." Sustainability 14, no. 15 (2022): 8997. http://dx.doi.org/10.3390/su14158997.

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The internet offers enormous development opportunities for airline firms and a lot of information for consumers to pick the finest available options. This research aims to study the consumer buying intention of e-commerce airfares in an emerging economy based on the technology acceptance model. This article employed a sample of 3064 respondents at six airports in Thailand. It used cluster analysis (a multivariate analysis approach) to determine two main customer segments and then used a structural equation modeling (SEM) technique utilizing demographic segmentation as a moderator to explain th

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Sifat, Annur Islam, and Md Adnan Elahi. "Elasticity-Driven Fare Optimization in U.S. Air Travel Segments." Challenges and Issues of Modern Science 4, no. 1 (2025): 133–38. https://doi.org/10.15421/cims.4.316.

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Purpose. This study investigates the variation in price elasticity of demand across U.S. domestic air travel markets, with a particular focus on how different distance-based market segments respond to airfare changes. Design / Method / Approach. The analysis presents air travel markets in the distance categories of very short, short-haul, medium-haul, and long-haul to analyze the heterogeneous nature of price responses. Findings. The results indicate substantial differences in elasticity across directions. In the short-haul markets, the negative price elasticity demonstrates strong awareness o

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Park, Hye-Young, Soo-Myung Wang, and Min-Seung Kang. "Airline Market Segmentation Reflecting the COVID-19 Situation: Focusing on Tourism Motivation and Airline Selection Attribution Using the MNL Model." Journal of Tourism and Leisure Research 34, no. 2 (2022): 413–31. http://dx.doi.org/10.31336/jtlr.2022.2.34.2.413.

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Oliveira, A. V. M. "Simulating revenue management in an airline market with demand segmentation and strategic interaction." Journal of Revenue and Pricing Management 1, no. 4 (2003): 301–18. http://dx.doi.org/10.1057/palgrave.rpm.5170035.

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15

Leon, Steven, and Juan Carlos Martín. "A fuzzy segmentation analysis of airline passengers in the U.S. based on service satisfaction." Research in Transportation Business & Management 37 (December 2020): 100550. http://dx.doi.org/10.1016/j.rtbm.2020.100550.

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Lau, Henry, Dilupa Nakandala, Premaratne Samaranayake, and Paul Shum. "A hybrid multi-criteria decision model for supporting customer-focused profitability analysis." Industrial Management & Data Systems 116, no. 6 (2016): 1105–30. http://dx.doi.org/10.1108/imds-10-2015-0410.

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Purpose – Strategic analysis of customer profitability for assessing market segmentation and reconfiguring customer relationship management (CRM) activities remains the key factor for achieving high return on CRM investment. The purpose of this paper is to map the profit-based ranking of corporate customers into the current market segments, with a view of determining the relative profitability of each market segment. Design/methodology/approach – This study develops a novel model that combines activity-based costing (ABC), CRM, fuzzy analytic hierarchy process (AHP), and technique for order pr

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Vives, Aldric, Marta Jacob, and Marga Payeras. "Revenue management and price optimization techniques in the hotel sector." Tourism Economics 24, no. 6 (2018): 720–52. http://dx.doi.org/10.1177/1354816618777590.

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Pricing and revenue management (RM) techniques have become a popular field of research in hotel management literature. The sector’s background framework and evolution and the widespread use of new technologies have allowed a customer-oriented approach to be taken to pricing and the development of RM tools, while also contributing to better processes in hotel management performance at individual hotel level. Thus, price optimization (PO) methods that seek to maximize hotel revenue are based on inventory scarcity, customer segmentation and pricing. In the hotel sector, as in the airline industry

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Desai, Shohab. "Segmentation of Airline Market in the GCC Region: Profiling Business Customers Using Low Cost and Full Service Carriers." British Journal of Economics, Management & Trade 4, no. 10 (2014): 1610–23. http://dx.doi.org/10.9734/bjemt/2014/10836.

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Raza, Syed Asif, and Muhammad Tahir Ali. "An integrated approach to fare pricing, seat inventory control and fare class segmentation in airline industry with demand leakage." Qatar Foundation Annual Research Forum Proceedings, no. 2012 (October 2012): AHP22. http://dx.doi.org/10.5339/qfarf.2012.ahp22.

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Adler, Thomas, C. Stacey Falzarano, and Gregory Spitz. "Modeling Service Trade-Offs in Air Itinerary Choices." Transportation Research Record: Journal of the Transportation Research Board 1915, no. 1 (2005): 20–26. http://dx.doi.org/10.1177/0361198105191500103.

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The application of a mixed logit approach using stated-preference survey data to the development of itinerary choice models is described. The models include the effects on itinerary choices of airline, airport, aircraft type, fare, access time, flight time, scheduled arrival time, and on-time performance. The empirical results demonstrate the importance of explicitly accounting for traveler preference heterogeneities by using segmentation by trip purpose, interaction effects involving frequent flier status, and random parameter specifications. Explicitly including preference heterogeneity by u

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Gumarianto, Mahardhika Rizky. "Developing Effective Marketing Strategies for A New MRO Company: A Case Study of Akasa Teknologi Nusantara at Soekarno-Hatta International Airport." Return : Study of Management, Economic and Bussines 4, no. 3 (2025): 227–47. https://doi.org/10.57096/return.v4i3.347.

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The aviation Maintenance, Repair, and Overhaul (MRO) industry is an important pillar in ensuring aircraft safety, operational efficiency, and regulatory compliance. This study aims to analyze the internal and external factors that influence Akasa Teknologi Nusantara in marketing their services in the MRO industry in Indonesia. This study uses data triangulation, integrating qualitative data collected through interviews as primary data, supported by statistical data collected through the Directorate General of Civil Aviation (DGCA) that validates the interview results. A thorough and comprehens

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Novan Muhammad Saofi Arkaan and Rafli Aditya Rahman. "Strategi Peningkatan Minat Perusahaan Beriklan di Garbarata." Mutiara : Jurnal Penelitian dan Karya Ilmiah 3, no. 4 (2025): 110–15. https://doi.org/10.59059/mutiara.v3i4.2666.

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This study aims to analyze strategies that can increase companies' interest in utilizing advertising media at Minangkabau International Airport's jet bridges, Padang. The jet bridge is a strategic area with significant potential as a promotional medium due to the intensity of direct interaction with airline passengers. However, its utilization has not been optimal. This study used a qualitative descriptive approach with data collection methods consisting of in-depth interviews with airport management and advertising companies, observations of advertising media conditions at the location, and d

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Park, Hyun Young, and Sue Ryung Chang. "When and how brands affect importance of product attributes in consumer decision process." European Journal of Marketing 56, no. 13 (2022): 1–25. http://dx.doi.org/10.1108/ejm-09-2020-0650.

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Purpose This research investigates when and how brands influence attribute importance weights. Most past studies modelling consumer decision processes treated the brand of a product as an attribute parallel to the price, color or size of a product, and as a result, those studies assigned an equal (i.e. non-contingent) importance weight across brands for each attribute. In contrast, this study introduces a brand-contingent attribute-weighting process, in which brand is a higher-order construct that influences attribute importance. Design/methodology/approach This study presents a multi-level ch

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Butarbutar, Sopar Tumpak Rensius, Bungaran Panggabean, and Nur Imam Saifuloh. "DETERMINANTS OF GARUDA AIRFARE REVENUE BEFORE AND AFTER THE COVID-19 PANDEMIC." Indo-Fintech Intellectuals: Journal of Economics and Business 5, no. 3 (2025): 5698–713. https://doi.org/10.54373/ifijeb.v5i3.3543.

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The main revenue of service companies engaged in the aviation industry comes from the sale of passenger tickets, and PT Garuda Indonesia Tbk is no exception. However, there was a drastic decline when the covid-19 pandemic hit which limited the mobility of people. This study is directed at comparing pre- and post-pandemic conditions, which will then lead to an analysis of domestic flight ticket revenue factors. A quantitative approach is used to dissect the problem with paired sample t-test and exploratory factor analysis (EFA). The initial test uses secondary data in the form of pre- and post-

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Díaz, Estrella, and David Martín-Consuegra. "A latent class segmentation analysis of airlines based on website evaluation." Journal of Air Transport Management 55 (August 2016): 20–40. http://dx.doi.org/10.1016/j.jairtraman.2016.04.007.

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Mishra, Jitendra Mohan. "Airlines Operation to Puducherry: Poor Patronage or Inefficiency of the Carrier?" Atna - Journal of Tourism Studies 9, no. 2 (2014): 45–66. http://dx.doi.org/10.12727/ajts.12.3.

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Puducherry is a known tourist destination and if merged with the neighboring Tamil Nadu becomes largest tourist receiving region in the country. An airlines carrier SpiceJet operated till recently in February last year, when it withdrew operations from Puducherry. Study revealed however that this flying sector has been making steady growth and making profits though not comparable with prime sectors of the airlines company. Despite the conducive environment, the airlines‟ choice of scrapping the route deserves research. The present study thus is a sincere attempt to study the viability of the P

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S.V., Divyasri. "SUCCESS AND FAILURE FACTORS OF CUSTOMER RELATIONSHIP MANAGEMENT (CRM) IN ORGANIZATION-AN ANALYSIS." Shanlax International Journal of Arts, Science and Humanities 6, S2 (2019): 59–66. https://doi.org/10.5281/zenodo.2649994.

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<em>Relationship marketing is emerging as the core marketing activity for businesses operating in fiercely competitive environments. On average, businesses spend six times more to acquire customers than they do to keep them. Therefore, many firms are now paying more attention to their relationships with existing customers to retain them and increase their share of customer’s purchases. Worldwide service organizations have been pioneers in developing customer retention strategies. Banks have relationship managers for select customers, airlines have frequent flyer programs to reward loyal

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Yusuf Onifade, Abiodun, Jeffrey Chidera Ogeawuchi, and Abraham Ayodeji Abayomi. "Data-Driven Engagement Framework: Optimizing Client Relationships and Retention in the Aviation Sector." International Journal of Advanced Multidisciplinary Research and Studies 4, no. 6 (2024): 2163–80. https://doi.org/10.62225/2583049x.2025.5.3.4268.

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The aviation sector faces increasing competition, and as a result, optimizing client relationships and retention has become critical for airlines and service providers. The integration of data-driven engagement frameworks is proving to be a transformative strategy for improving customer interactions, ensuring loyalty, and enhancing overall satisfaction. This abstract explores how a data-driven approach can optimize client engagement in the aviation sector by utilizing customer data, predictive analytics, and personalized experiences. By analyzing customer behavior and preferences through advan

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Yusuf Onifade, Abiodun, Jeffrey Chidera Ogeawuchi, and Abraham Ayodeji Abayomi. "Data-Driven Engagement Framework: Optimizing Client Relationships and Retention in the Aviation Sector." International Journal of Advanced Multidisciplinary Research and Studies 4, no. 6 (2024): 2163–80. https://doi.org/10.62225/2583049x.2024.4.6.4268.

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The aviation sector faces increasing competition, and as a result, optimizing client relationships and retention has become critical for airlines and service providers. The integration of data-driven engagement frameworks is proving to be a transformative strategy for improving customer interactions, ensuring loyalty, and enhancing overall satisfaction. This abstract explores how a data-driven approach can optimize client engagement in the aviation sector by utilizing customer data, predictive analytics, and personalized experiences. By analyzing customer behavior and preferences through advan

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Sukmana, Husni Teja. "Using K-Means Clustering to Enhance Digital Marketing with Flight Ticket Search Patterns." Journal of Digital Market and Digital Currency 1, no. 3 (2024): 286–304. https://doi.org/10.47738/jdmdc.v1i3.22.

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This study explores the application of K-Means clustering to enhance digital marketing strategies by analyzing flight ticket search patterns. Utilizing a dataset containing 4,000 search engine results related to flights to Hong Kong, the research identifies five distinct user clusters based on search terms, titles, snippets, and other relevant features. The dataset's key features include search terms, ranks, titles, snippets, display links, and direct links, providing a comprehensive view of user interactions and preferences. The cluster analysis reveals significant variations in user intent a

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Chiang, Wen Yu. "A new procedure of market segmentation for dynamic CRM systems: a case study of airlines in Taiwan." International Journal of Information and Communication Technology 6, no. 3/4 (2014): 422. http://dx.doi.org/10.1504/ijict.2014.063227.

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Chandana, Baddireddi Sree, Pelleti Nandieswar Reddy, Rithvika Alapati, Sai Aswath Reddy, Radha Doraisamy, and Uma Sankari. "Satellite-Based Validation of Contrail Prediction Models for Sustainable Aviation." Acta Technica Jaurinensis 18, no. 1 (2025): 23–37. https://doi.org/10.14513/actatechjaur.00766.

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The aviation industry significantly contributes to global warming through the formation of contrails, which trap heat in the atmosphere and exacerbate climate change. To mitigate this effect, sophisticated models have been developed to predict contrail formation and its associated warming effects, but these require empirical validation for accuracy. This project leverages satellite imagery to validate contrail prediction models, enabling effective contrail avoidance strategies for airlines. U-Net variants, a convolutional neural network architecture, is utilized for image segmentation to ident

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Yang, Luyao, Zhikang Wang, Haochen Yu, Baoping Jiang, and Zhengtian Wu. "Aircraft route recovery based on distributed integer programming method." Mathematical Biosciences and Engineering 20, no. 7 (2023): 12802–19. http://dx.doi.org/10.3934/mbe.2023571.

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<abstract> <p>In order to further promote the application and development of unmanned aviation in the manned field, and reduce the difficulty that airlines cannot avoid due to unexpected factors such as bad weather, aircraft failure, and so on, the problem of restoring aircraft routes has been studied. To reduce the economic losses caused by flight interruption, this paper divides the repair problem of aircraft operation plans into two sub problems, namely, the generation of flight routes and the reallocation of aircraft. Firstly, the existing fixed-point iteration method proposed

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Park, Hee-Jung, and Kyu-Hwan Choi. "A Study on the Segmentation and Profile Analysis Based of Perceived Level on the Airline's Corporate Social Responsibility." Journal of MICE & Tourism Research 18, no. 2 (2018): 27–42. http://dx.doi.org/10.35176/jmtr.18.2.2.

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Martinez, Maria-Encarnacion Andres, Miguel-Angel Gomez Borja, and Juan-Antonio Mondejar Jimenez. "Yield Management As A Pricing Mechanism." Review of Business Information Systems (RBIS) 15, no. 5 (2011): 51–60. http://dx.doi.org/10.19030/rbis.v15i5.6018.

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Consumers nowadays frequently make their purchases online. One common pricing strategy on the Internet is demand-based pricing, which allows firms to adapt prices to the demand for their products. This mechanism can undoubtedly be employed more efficiently on the Internet, due to how quickly demand information can be obtained. Within demand-based pricing, one very well-known practice is yield management. This practice was pioneered by airlines, but has spread in recent years to industries such as hotels, rental cars and cruise lines to name but a few industries. The application of yield manage

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Winzar, Hume, Chris Baumann, and Wujin Chu. "Brand competitiveness." International Journal of Contemporary Hospitality Management 30, no. 1 (2018): 637–60. http://dx.doi.org/10.1108/ijchm-11-2016-0619.

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Purpose This paper aims to introduce the concept of consumer-based brand value (CBBV), a change in the perspective of brand-equity and brand value from one where the brand is considered separately from other brands. The purpose of this paper is threefold: highlighting the theoretical difference between brand equity and brand value (Raggio and Leone, 2007); conceptually linking brand equity with brand value and then with brand competitiveness; and demonstrating a straightforward method for scholars and practitioners to measure brand value and then to forecast and simulate brand competitiveness.

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Yang, Can-Ming, Ye Liu, Yi-Ting Wang, et al. "A Novel Adaptive Kernel Picture Fuzzy C-Means Clustering Algorithm Based on Grey Wolf Optimizer Algorithm." Symmetry 14, no. 7 (2022): 1442. http://dx.doi.org/10.3390/sym14071442.

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Over the years, research on fuzzy clustering algorithms has attracted the attention of many researchers, and they have been applied to various areas, such as image segmentation and data clustering. Various fuzzy clustering algorithms have been put forward based on the initial Fuzzy C-Means clustering (FCM) with Euclidean distance. However, the existing fuzzy clustering approaches ignore two problems. Firstly, clustering algorithms based on Euclidean distance have a high error rate, and are more sensitive to noise and outliers. Secondly, the parameters of the fuzzy clustering algorithms are har

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Kollehaiev, Mykhailo. "PROSPECTS OF THE POST-WAR DEVELOPMENT OF THE FOREIGN ACTIVE TRAVEL SEGMENT IN THE CONTEXT OF THE PREVIOUS CRISIS EXPERIENCE." SCIENTIFIC ISSUES OF TERNOPIL VOLODYMYR HNATIUK NATIONAL PEDAGOGICAL UNIVERSITY. SERIES: GEOGRAPHY 55, no. 2 (2023): 43–48. http://dx.doi.org/10.25128/2519-4577.23.2.5.

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The current pace of recovery of the global tourism industry after the COVID-19 pandemic demonstrates that the segment of active travel (“Adventure Travel” in the international classification) is the most resilient and adaptive to crises and has shown the most sustainable growth in recent decades (up to 17%). Thus, the segment of adventure tourism (more than 26% of all trips in the world) remains a true locomotive for the development of global tourism. In Ukraine, the development of this area has experienced fluctuations related to crises of various scales: from the global financial crisi

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Dothang, Truong. "Developing Airline Segmentation Based on The On-time Performance." November 17, 2016. https://doi.org/10.19070/2470-4415-1600016.

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Flight delay is a critical nation wide issue that has negative impacts on both airlines and passengers. However, airlines do not perform equally in term of on-time arrival rates. The purpose of this paper is to develop airline segmentation in the market based on the on-time performance. Cluster analysis was performed using flight delay data collected from the Bureau of Transportation Statistics (BTS) databases. The results indicate three major segments in the airline market based on similarities among airlines in regard to their on-time performance. The differences of on-time performance acros

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Kolbushkin, Yuriy, and Oleh Cherpak. "CUSTOMER LOYALTY MANAGEMENT IN THE AIRLINE'S DEVELOPMENT STRATEGY." PROBLEMS OF SYSTEMIC APPROACH IN THE ECONOMY, no. 3(83) (2021). http://dx.doi.org/10.32782/2520-2200/2021-3-12.

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This article considers the main approaches to the study of customer loyalty and the reasons that form a certain model of consumer behavior during consumption of goods and services. The place of customer loyalty programs in the company's development strategy and in the system of ensuring its competitive advantages in the market has been established. The importance of consumer loyalty programs as an effective marketing tool for the formation of trusting long-term and mutually beneficial relations of the organization with the consumer is emphasized. The peculiarities of the use of customer loyalt

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Aydin, Recai, and Roger Morefield. "Hub-And-Spoke Airlines Versus Low-Cost Airlines And Price Discrimination." Journal of Business & Economics Research (JBER) 8, no. 5 (2010). http://dx.doi.org/10.19030/jber.v8i5.714.

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<p class="MsoBodyText" style="text-align: justify; margin: 0in 0.5in 0pt; mso-pagination: none;"><span style="font-size: 10pt; mso-bidi-font-weight: bold;"><span style="font-family: Times New Roman;">The purpose of this study is to examine the impact of the continuing trend in the U.S. Airline industry away from hub-and-spoke (network) airlines and toward low-cost airlines. The model of this study examines the level of success which the network carriers may experience by using market segmentation and price discrimination to sustain profitability in the face of the growth in m

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De Boer, Sanne. "Airline Revenue Management Under Imperfect Market Segmentation." SSRN Electronic Journal, 2003. http://dx.doi.org/10.2139/ssrn.1088572.

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Truong, Dothang. "Developing Airline Segmentation Based on The On-time Performance." International Journal of Aeronautical Science & Aerospace Research, November 17, 2016, 131–40. http://dx.doi.org/10.19070/2470-4415-1600016.

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Khalid, Hira, Shazia Saqib, Muhammad Junaid Asif, and Deshinta Arrova Dewi. "Strategic Customer Segmentation: Harnessing Machine Learning For Retaining Satisfied Customers." Lahore Garrison University Research Journal of Computer Science and Information Technology 8, no. 2 (2024). http://dx.doi.org/10.54692/lgurjcsit.2024.82573.

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This research paper explores the burgeoning field of machine learning and its application in strategic customer segmentation within the aviation industry. Leveraging the Airline Passenger dataset, this study assesses the potential of various machine learning classifiers to enhance customer retention by effectively segmenting satisfied customers. Our methodology involves a comparative analysis of five machine learning classifiers: Random Forest, K-Nearest Neighbors (KNN), Decision Tree, Naive Bayes, and Artificial Neural Network (ANN). Each classifier is rigorously tested and evaluated based on

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Pan, Jing Yu, and Dothang Truong. "Low cost carriers in China: passenger segmentation, controllability, and airline selection." Transportation, April 10, 2020. http://dx.doi.org/10.1007/s11116-020-10105-z.

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Gu, Chengyan. "Market segmentation and dynamic price discrimination in the U.S. airline industry." Journal of Revenue and Pricing Management, November 21, 2022. http://dx.doi.org/10.1057/s41272-022-00407-5.

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Gu, Chengyan. "Market Segmentation and Dynamic Price Discrimination in the U.S. Airline Industry." SSRN Electronic Journal, 2023. http://dx.doi.org/10.2139/ssrn.4386358.

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"POST-HOC SEGMENTATION OF AIRLINE MARKET IN SERBIA USING CBC AND PAM." INTERNATIONAL JOURNAL FOR TRAFFIC AND TRANSPORT ENGINEERING 10, no. 2 (2020): 153–68. http://dx.doi.org/10.7708/ijtte.2020.10(2).03.

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ŞAHİNBAŞ, Kevser. "Performance Comparison of K-Means and DBSCAN Methods for Airline Customer Segmentation." Black Sea Journal of Engineering and Science, September 19, 2022. http://dx.doi.org/10.34248/bsengineering.1170943.

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Organizations are now fully embracing ideas such as customer success, customer loyalty, customer experience management and customer satisfaction. The application of these concepts must be based on three pillars of technology, process and people, to ensure that the organization ultimately has satisfied, loyal and successful customers. In today's competitive environment, as in all sectors, gaining great services in the aviation industry can provide a competitive advantage. With this study, it is aimed to help aviation companies to know how their services should meet the needs of customers and to

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Varella, Rafael R., and Jessica Frazzo. "Dynamic Pricing and Market Segmentation Responses to Low-Cost Carrier Entry: The Econometrics of Airline Distribution Management under Increased Competition." SSRN Electronic Journal, 2016. http://dx.doi.org/10.2139/ssrn.2841417.

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