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Relevant bibliographies by topics / Airline yield management

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Journal articles
Dissertations / Theses
Books
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Academic literature on the topic 'Airline yield management'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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Journal articles on the topic "Airline yield management"

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Vila, Natalia, and Manuel Córcoles. "Yield Management and Airline Strategic Groups." Tourism Economics 17, no. 2 (April 2011): 261–78. http://dx.doi.org/10.5367/te.2011.0037.

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Belobaba, Peter P., and András Farkas. "Yield Management Impacts on Airline Spill Estimation." Transportation Science 33, no. 2 (May 1999): 217–32. http://dx.doi.org/10.1287/trsc.33.2.217.

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Belobaba, Peter P., and John L. Wilson. "Impacts of yield management in competitive airline markets." Journal of Air Transport Management 3, no. 1 (January 1997): 3–9. http://dx.doi.org/10.1016/s0969-6997(97)82787-1.

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Botimer, Theodore C. "Efficiency considerations in airline pricing and yield management." Transportation Research Part A: Policy and Practice 30, no. 4 (July 1996): 307–17. http://dx.doi.org/10.1016/0965-8564(95)00028-3.

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Hsueh, Fu-Jui, Ian Douglas, and Rodger Robertson. "WHAT PRODUCT FACTORS ALLOW AIRLINES TO COMMAND A PRICE PREMIUM IN THE SYDNEY-LOS ANGELES MARKET?" Journal of Air Transport Studies 2, no. 2 (July 1, 2011): 74–91. http://dx.doi.org/10.38008/jats.v2i2.101.

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Recent changes to the competitive environment in the highly contested Sydney to Los Angeles market have impacted the route profitability of almost 20 carriers. In particular the commencement of non-stop services by Delta Airlines and V Australia has mpacted route profitability of almost 20 carriers. This paper investigates the product factors that enable airlines to command a price premium the Sydney to Los Angeles market. A sample of business and economy class net fare quotes, in addition to data collected on seven product factors is used in this study to estimate the relationship between price and product. The regression results show that service quality, space, connectivity and alliance membership all have a positive influence on price in this particular market. In a practical setting, the research outcomes are particularly relevant to the areas of Airline Pricing & Yield Management, Airline Strategy, Airline Marketing and Product Planning.

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Subramanian, Janakiram, Shaler Stidham, and Conrad J. Lautenbacher. "Airline Yield Management with Overbooking, Cancellations, and No-Shows." Transportation Science 33, no. 2 (May 1999): 147–67. http://dx.doi.org/10.1287/trsc.33.2.147.

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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 (November 17, 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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Botimer, Theodore C. "Airline fare product design in the context of yield management." International Journal of Services Technology and Management 1, no. 1 (2000): 100. http://dx.doi.org/10.1504/ijstm.2000.001562.

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Pulugurtha, Srinivas S., and Shashi S. Nambisan. "A Decision-Support Tool for Airline Yield Management Using Genetic Algorithms." Computer-Aided Civil and Infrastructure Engineering 18, no. 3 (May 2003): 214–23. http://dx.doi.org/10.1111/1467-8667.00311.

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Belobaba, Peter P. "Survey Paper—Airline Yield Management An Overview of Seat Inventory Control." Transportation Science 21, no. 2 (May 1987): 63–73. http://dx.doi.org/10.1287/trsc.21.2.63.

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Dissertations / Theses on the topic "Airline yield management"

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Mak, Chung Yu. "Revenue impacts of airline yield management." Thesis, Massachusetts Institute of Technology, 1992. http://hdl.handle.net/1721.1/26838.

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Sa, Joao. "Reservations forecasting in airline yield management." Thesis, Massachusetts Institute of Technology, 1987. http://hdl.handle.net/1721.1/14906.

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Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 1987.
MICROFICHE COPY AVAILABLE IN ARCHIVES AND AERO.
Bibliography: leaves 116-117.
by Joao Sa.
M.S.

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Chi, Zhihang. "Airline yield management in a dynamic network environment." Thesis, Massachusetts Institute of Technology, 1995. http://hdl.handle.net/1721.1/11735.

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McGill, Jeffrey I. "Optimization and estimation problems in airline yield management." Thesis, University of British Columbia, 1989. http://hdl.handle.net/2429/30652.

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This thesis addresses problems of optimization and estimation encountered in the process of airline yield management, also called airline seat inventory control. Optimality conditions are given for the problem of setting booking limits for multiple, stochastically independent demand classes that are booked in a nested fashion into a fixed pool of airline seats. These optimality conditions are compared with the approximations given by the EMSR method. Additional conditions are given for two stochastically dependent fare classes, and extensions are made that allow for incorporation of passenger goodwill and upgrades of passengers between fare classes. The model developed for the dependent demand case is also applied to the problem of determining an optimal overbooking limit in a single fare class. Finally, a methodology is developed for using multivariate multiple regression in conjunction with the EM method to estimate the parameters of demand distributions on the basis of historical demand data that have been censored by the presence of booking limits.
Business, Sauder School of
Operations and Logistics (OPLOG), Division of
Graduate

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Joshi, Kapil. "Modeling alternate strategies for airline revenue management." [Tampa, Fla.] : University of South Florida, 2004. http://purl.fcla.edu/fcla/etd/SFE0000557.

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Kristanto, Paulus. "Analysis of price competition with yield management in the US Airline industry." Diss., Georgia Institute of Technology, 1998. http://hdl.handle.net/1853/30705.

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Günther, Dirk. "Airline yield management : optimal bid prices, Markov decision processes and routing considerations." Diss., Georgia Institute of Technology, 1998. http://hdl.handle.net/1853/30680.

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Carassai, Amedeo. "European airline deregulation : evaluating an investment in a yield management system for Alitalia." Thesis, Massachusetts Institute of Technology, 1993. http://hdl.handle.net/1721.1/12723.

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Farkas, András 1965. "The influence of network effects and yield management on airline fleet assignment decisions." Thesis, Massachusetts Institute of Technology, 1996. http://hdl.handle.net/1721.1/11206.

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McCarthy, Jeffrey A. (Jeffrey Albert). "Applications and limitations of yield management pricing systems beyond the airline and hospitality industries." Thesis, Massachusetts Institute of Technology, 1994. http://hdl.handle.net/1721.1/12087.

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Books on the topic "Airline yield management"

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Vinod, Ben. The Evolution of Yield Management in the Airline Industry. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-70424-7.

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Georges, Vialle, ed. Le yield management: La face encore cachée du marketing des services. Paris: InterEditions, 1989.

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Book chapters on the topic "Airline yield management"

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Chen, Victoria C. P., Dirk Günther, and Ellis L. Johnson. "Routing Considerations in Airline Yield Management." In Applied Optimization, 333–50. Boston, MA: Springer US, 2003. http://dx.doi.org/10.1007/978-1-4757-3752-3_17.

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Gliozzi, Stefano, and Alberto Maria Marchetti. "A New Yield Management Approach for Continuous Multi-Variable Bookings: The Airline Cargo Case." In Applied Optimization, 369–91. Boston, MA: Springer US, 2003. http://dx.doi.org/10.1007/978-1-4757-3752-3_19.

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"Yield Management." In The Evolution of the US Airline Industry, 213–37. Boston, MA: Springer US, 2005. http://dx.doi.org/10.1007/0-387-24242-2_9.

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Zhang, Guoquan, Colin C. H. Law, Yahua Zhang, and Hangjun Yang. "Price Discrimination and Yield Management in the Airline Industry." In International Encyclopedia of Transportation, 404–8. Elsevier, 2021. http://dx.doi.org/10.1016/b978-0-08-102671-7.10077-6.

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Conference papers on the topic "Airline yield management"

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Biermann, Thomas. "Yield management in the airline industry." In 2007 International Symposium on Logistics and Industrial Informatics. IEEE, 2007. http://dx.doi.org/10.1109/lindi.2007.4343529.

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