Journal of Revenue and Pricing Management

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Itinerary-based nesting control with upsell
Journal of Revenue and Pricing Management - Tập 15 - Trang 107-137 - 2016
Chan Seng Pun, Diego Klabjan, Fikri Karaesmen, Sergey Shebalov
In order to accept future high-yield booking requests, airlines protect seats from low-yield passengers. More seats may be reserved when passengers faced with closed fare classes can upsell to open higher fare classes. We address the airline revenue management problem with capacity nesting and customer upsell, and formulate this problem by a stochastic optimization model to determine a set of stat... hiện toàn bộ
On the selection of relevant historical demand data for revenue management applied to transportation
Journal of Revenue and Pricing Management - Tập 22 - Trang 266-275 - 2022
Ernst Ahlberg, Irina Mirkina, Alfred Olsson, Christian Söyland, Lars Carlsson
The success of revenue management models depends to a large extent on the quality of historical data used to forecast future bookings. Several theoretical models and best practices of handing historical data have been developed over the years, that all rely on assumptions about underlying distribution and seasonality in the historical data. In this paper, we describe a novel method that compares t... hiện toàn bộ
A combined algorithm for selection of optimal bidder(s)
Journal of Revenue and Pricing Management - - Trang 1-15 - 2023
J. Ravichandran, B. Vanishree
Organizations (manufacturing, service, healthcare etc.) buy goods and services for their operational needs from reliable and subject-optimized companies frequently. In fact, procurement processes follow stringent procedures to ensure that the process is fair and efficient with a minimal wastage of resources. The main challenge of all such procurement processes is the selection of optimal bidder(s)... hiện toàn bộ
Name-your-own price auction mechanisms – Modeling and future implications
Journal of Revenue and Pricing Management - Tập 10 - Trang 32-39 - 2010
Chris K Anderson, John G Wilson
A popular method for selling excess inventory over the Internet is via a Name-Your-Own Price auction, where the bidder bids on an item and the seller immediately decides on whether or not to accept the bid. The analytical modeling of such auctions is still in its infancy. A number of papers have appeared over the last few years making various assumptions about buyers and sellers. The intent of thi... hiện toàn bộ
Technology- and human-intensiveness in room rate-setting: A study of four styles among Asia-Pacific hotels
Journal of Revenue and Pricing Management - Tập 12 - Trang 177-200 - 2012
Lewis K S Lim, Sheryl E Kimes
Room rate-setting is a complex and challenging task that carries many financial and non-financial consequences for hotels. The extent to which a hotel emphasizes technology and/or human processes defines its rate-setting style. A survey of 170 hotels in the Asia-Pacific region reveals that hotels generally practice four major rate-setting styles. The style varies not only across hotels but also am... hiện toàn bộ
Choice-based EMSR methods for single-leg revenue management with demand dependencies
Journal of Revenue and Pricing Management - Tập 8 - Trang 207-240 - 2009
Guillermo Gallego, Lin Li, Richard Ratliff
Revenue management (RM) based on customer choice models has gained interest in the 21st century. Changes in airline distribution strategies and improvements in online search engines have resulted in fierce competition, fare transparency and greater usage of restriction-free pricing. Existing solutions to RM with restriction-free pricing have proven ineffective and use either ad hoc adjustments to ... hiện toàn bộ
Correction to: Prediction accuracy improvement for Bitcoin market prices based on symmetric volatility information using artificial neural network approach
Journal of Revenue and Pricing Management - Tập 19 - Trang 331-331 - 2020
Anwar Hasan Abdullah Othman, Salina Kassim, Romzie Bin Rosman, Nur Harena Binti Redzuan
The original version of this article unfortunately contained a mistake. Prediction accuracy percentage in figure 7, which represent the key findings of this study which is (92.147%) does not appear in the figure 7.
Competitive revenue management with forward and spot markets
Journal of Revenue and Pricing Management - - 2011
Guillermo Gallego, Srinivas Krishnamoorthy, Robert L. Phillips
A cabin capacity allocation model for revenue management in the cruise industry
Journal of Revenue and Pricing Management - Tập 18 - Trang 441-450 - 2019
Daniel Sturm, Kathrin Fischer
The cruise industry is a profitable field for the application of revenue management methods. Existing model formulations for booking limit determination usually assume that the different elements of booking requests are independent. In this work, it is shown that this approach can lead to non-feasible capacity allocations, which consequently are neither optimal nor applicable in practical planning... hiện toàn bộ
Promoting demand-based pricing
Journal of Revenue and Pricing Management - Tập 18 - Trang 42-51 - 2017
Ronald B. Larson
Applied economists have been trying to sell businesses on the value of demand-based pricing for many years. Their arguments promoting demand-based pricing have not been particularly persuasive and cost-based pricing continues to be a dominant price-setting method. This paper suggests four changes that may lead more firms to use demand principles when they set prices. Applied economists should ackn... hiện toàn bộ
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