東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Revenue management and pricing analytics

Gallego, Guillermo.

Linked to FindBook

Google Book

Amazon

博客來

Revenue management and pricing analytics

Record Type:	Electronic resources : Monograph/item
Title/Author:	Revenue management and pricing analytics/ by Guillermo Gallego, Huseyin Topaloglu.
Author:	Gallego, Guillermo.
other author:	Topaloglu, Huseyin.
Published:	New York, NY :Springer New York : : 2019.,
Description:	xix, 336 p. :ill., digital ;24 cm.
[NT 15003449]:	Chapter 1. Single Resource Revenue Management with Independent Demands -- Chapter 2. Network Revenue Management with Independent Demands -- Chapter 3. Overbooking -- Chapter 4. Introduction to Choice Modeling -- Chapter 5. Assortment Optimization -- Chapter 6. Single Resource Revenue Management with Dependent Demands -- Chapter 7. Network Revenue Management with Dependent Demands -- Chapter 8. Basic Pricing Theory -- Chapter 9. Dynamic Pricing over Finite Horizons -- Chapter 10. Online Learning -- Chapter 11. Competitive Assortment and Price Optimization.
Contained By:	Springer Nature eBook
Subject:	Revenue management. -
Online resource:	https://doi.org/10.1007/978-1-4939-9606-3
ISBN:	9781493996063

Revenue management and pricing analytics
Gallego, Guillermo.

Revenue management and pricing analytics[electronic resource] /by Guillermo Gallego, Huseyin Topaloglu. - New York, NY :Springer New York :2019. - xix, 336 p. :ill., digital ;24 cm. - International series in operations research & management science,v.2790884-8289 ;. - International series in operations research & management science ;v.279..

Chapter 1. Single Resource Revenue Management with Independent Demands -- Chapter 2. Network Revenue Management with Independent Demands -- Chapter 3. Overbooking -- Chapter 4. Introduction to Choice Modeling -- Chapter 5. Assortment Optimization -- Chapter 6. Single Resource Revenue Management with Dependent Demands -- Chapter 7. Network Revenue Management with Dependent Demands -- Chapter 8. Basic Pricing Theory -- Chapter 9. Dynamic Pricing over Finite Horizons -- Chapter 10. Online Learning -- Chapter 11. Competitive Assortment and Price Optimization.

"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, Amazon "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. "At last, a serious and comprehensive treatment of modern revenue management and assortment 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.

ISBN: 9781493996063

Standard No.: 10.1007/978-1-4939-9606-3doiSubjects--Topical Terms:

725995
Revenue management.

LC Class. No.: HD60.7 / .G35 2019

Dewey Class. No.: 658.1554

Revenue management and pricing analytics
LDR:04506nmm a2200349 a 4500 001 2242629
003 DE-He213
005 20200703031100.0
006 m d
007 cr nn 008maaau
008 211207s2019 nyu s 0 eng d
020 $a 9781493996063 $q (electronic bk.)
020 $a 9781493996049 $q (paper)
024 7 $a 10.1007/978-1-4939-9606-3 $2 doi
035 $a 978-1-4939-9606-3
040 $a GP $c GP
041 0 $a eng
050 4 $a HD60.7 $b .G35 2019
072 7 $a KJT $2 bicssc
072 7 $a BUS049000 $2 bisacsh
072 7 $a KJT $2 thema
072 7 $a KJMD $2 thema
082 0 4 $a 658.1554 $2 23
090 $a HD60.7 $b .G166 2019
100 1 $a Gallego, Guillermo. $3 3501961
245 1 0 $a Revenue management and pricing analytics $h [electronic resource] / $c by Guillermo Gallego, Huseyin Topaloglu.
260 $a New York, NY : $b Springer New York : $b Imprint: Springer, $c 2019.
300 $a xix, 336 p. : $b ill., digital ; $c 24 cm.
490 1 $a International series in operations research & management science, $x 0884-8289 ; $v v.279
505 0 $a Chapter 1. Single Resource Revenue Management with Independent Demands -- Chapter 2. Network Revenue Management with Independent Demands -- Chapter 3. Overbooking -- Chapter 4. Introduction to Choice Modeling -- Chapter 5. Assortment Optimization -- Chapter 6. Single Resource Revenue Management with Dependent Demands -- Chapter 7. Network Revenue Management with Dependent Demands -- Chapter 8. Basic Pricing Theory -- Chapter 9. Dynamic Pricing over Finite Horizons -- Chapter 10. Online Learning -- Chapter 11. Competitive Assortment and Price Optimization.
520 $a "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, Amazon "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. "At last, a serious and comprehensive treatment of modern revenue management and assortment 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.
650 0 $a Revenue management. $3 725995
650 1 4 $a Operations Research/Decision Theory. $3 890895
650 2 4 $a Industrial and Production Engineering. $3 891024
650 2 4 $a Production. $3 2203137
650 2 4 $a Logistics. $3 783981
650 2 4 $a Macroeconomics/Monetary Economics/Financial Economics. $3 2179654
700 1 $a Topaloglu, Huseyin. $3 3501962
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a International series in operations research & management science ; $v v.279. $3 3501963
856 4 0 $u https://doi.org/10.1007/978-1-4939-9606-3
950 $a Business and Management (SpringerNature-41169)