Overview
- Addresses the gap between the latest research and established texts in the field
- Looks at research in Economics, Marketing, Operations, and Psychology
- Strives for readability, with most difficult proofs in Appendix
Part of the book series: International Series in Operations Research & Management Science (ISOR, volume 279)
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About this book
“There is no strategic investment that has a higher return than investing in good pricing, and the text by Gallego and Topaloghu provides the best technical treatment of pricing strategy and tactics available.” Preston McAfee, the J. Stanley Johnson Professor, California Institute of Technology and Chief Economist and Corp VP, Microsoft.
“The book by Gallego and Topaloglu provides a fresh, up-to-date and in depth treatment of revenue management and pricing. It fills an important gap as it covers not only traditional revenue management topics also new and important topics such as revenue management under customer choice as well as pricing under competition and online learning. The book can be used for different audiences that range from advanced undergraduate students to masters and PhD students. It provides an in-depth treatment covering recent state of the art topics in an interesting and innovative way. I highly recommend it." Professor Georgia Perakis, the William F. Pounds Professor of Operations Research and Operations Management at the Sloan School of Management, Massachusetts Institute of Technology, Cambridge, Massachusetts. “This book is an important and timely addition to the pricing analytics literature by two authors who have made major contributions to the field. It covers traditional revenue management as well as assortment optimization and dynamic pricing. The comprehensive treatment of choice models in each application is particularly welcome. It is mathematically rigorous but accessible to students at the advanced undergraduate or graduate levels with a rich set of exercises at the end of each chapter. This book is highly recommended for Masters or PhD level courses on the topic and is a necessity for researchers with an interest in the field.” Robert L. Phillips, Director of Pricing Research at Amazon“At last, a serious and comprehensive treatment of modern revenue management andassortment optimization integrated with choice modeling. In this book, Gallego and Topaloglu provide the underlying model derivations together with a wide range of applications and examples; all of these facets will better equip students for handling real-world problems. For mathematically inclined researchers and practitioners, it will doubtless prove to be thought-provoking and an invaluable reference.” Richard Ratliff, Research Scientist at Sabre
“This book, written by two of the leading researchers in the area, brings together in one place most of the recent research on revenue management and pricing analytics. New industries (ride sharing, cloud computing, restaurants) and new developments in the airline and hotel industries make this book very timely and relevant, and will serve as a critical reference for researchers.” Professor Kalyan Talluri, the Munjal Chair in Global Business and Operations, Imperial College, London, UK.
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Keywords
Table of contents (11 chapters)
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Traditional Revenue Management
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Revenue Management Under Customer Choice
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Pricing Analytics
Authors and Affiliations
About the authors
Huseyin Topaloglu is a professor of operations research in the School of Operations Research and Information Engineering at Cornell University. He joined Cornell in 2002. After working on Cornell’s main campus in Ithaca for 13 years, he moved to Cornell’s technology-focused campus in New York City in 2015. Professor Topaloglu’s research interests are in stochastic optimization and approximation algorithms with applications in revenue management, dynamic pricing and transportation logistics. He serves on the editorial boards of Management Science, Mathematical Programming C, Naval Research Logistics, Operations Research, and Production and Operations Management. He teaches courses on optimization theory, revenue management, and logistics.
Bibliographic Information
Book Title: Revenue Management and Pricing Analytics
Authors: Guillermo Gallego, Huseyin Topaloglu
Series Title: International Series in Operations Research & Management Science
DOI: https://doi.org/10.1007/978-1-4939-9606-3
Publisher: Springer New York, NY
eBook Packages: Business and Management, Business and Management (R0)
Copyright Information: Springer Science+Business Media, LLC, part of Springer Nature 2019
Hardcover ISBN: 978-1-4939-9604-9Published: 15 August 2019
eBook ISBN: 978-1-4939-9606-3Published: 14 August 2019
Series ISSN: 0884-8289
Series E-ISSN: 2214-7934
Edition Number: 1
Number of Pages: XIX, 336
Number of Illustrations: 3 b/w illustrations, 5 illustrations in colour
Topics: Operations Research/Decision Theory, Industrial and Production Engineering, Production, Logistics, Macroeconomics/Monetary Economics//Financial Economics