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Author: Guillermo Gallego
Publisher: Springer
ISBN: 1493996061
Category : Business & Economics
Languages : en
Pages : 346
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Book Description
“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 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, 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.
Author: Guillermo Gallego
Publisher: Springer
ISBN: 1493996061
Category : Business & Economics
Languages : en
Pages : 346
Get Book Here
Book Description
“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 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, 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.
Author: Tudor Bodea
Publisher: Routledge
ISBN: 1136624848
Category : Business & Economics
Languages : en
Pages : 267
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Book Description
The practices of revenue management and pricing analytics have transformed the transportation and hospitality industries, and are increasingly important in industries as diverse as retail, telecommunications, banking, health care and manufacturing. Segmentation, Revenue Management and Pricing Analytics guides students and professionals on how to identify and exploit revenue management and pricing opportunities in different business contexts. Bodea and Ferguson introduce concepts and quantitative methods for improving profit through capacity allocation and pricing. Whereas most marketing textbooks cover more traditional, qualitative methods for determining customer segments and prices, this book uses historical sales data with mathematical optimization to make those decisions. With hands-on practice and a fundamental understanding of some of the most common analytical models, readers will be able to make smarter business decisions and higher profits. This book will be a useful and enlightening read for MBA students in pricing and revenue management, marketing, and service operations.
Author: I. Yeoman
Publisher: Springer
ISBN: 0230294774
Category : Business & Economics
Languages : en
Pages : 290
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Book Description
Pricing is about deciding your market position whereas revenue management is the strategic and tactical decisions firms take in order to optimize revenues and profits. This book offers insights into research, theories, applications and innovations and how to makes these work in different industries.
Author: Robert Phillips
Publisher: Stanford University Press
ISBN: 0804781648
Category : Business & Economics
Languages : en
Pages : 470
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Book Description
This is the first comprehensive introduction to the concepts, theories, and applications of pricing and revenue optimization. From the initial success of "yield management" in the commercial airline industry down to more recent successes of markdown management and dynamic pricing, the application of mathematical analysis to optimize pricing has become increasingly important across many different industries. But, since pricing and revenue optimization has involved the use of sophisticated mathematical techniques, the topic has remained largely inaccessible to students and the typical manager. With methods proven in the MBA courses taught by the author at Columbia and Stanford Business Schools, this book presents the basic concepts of pricing and revenue optimization in a form accessible to MBA students, MS students, and advanced undergraduates. In addition, managers will find the practical approach to the issue of pricing and revenue optimization invaluable. Solutions to the end-of-chapter exercises are available to instructors who are using this book in their courses. For access to the solutions manual, please contact
[email protected].
Author: Walter R. Paczkowski
Publisher: Routledge
ISBN: 1351713094
Category : Business & Economics
Languages : en
Pages : 339
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Book Description
The theme of this book is simple. The price – the number someone puts on a product to help consumers decide to buy that product – comes from data. Specifically, itcomes from statistically modeling the data. This book gives the reader the statistical modeling tools needed to get the number to put on a product. But statistical modeling is not done in a vacuum. Economic and statistical principles and theory conjointly provide the background and framework for the models. Therefore, this book emphasizes two interlocking components of modeling: economic theory and statistical principles. The economic theory component is sufficient to provide understanding of the basic principles for pricing, especially about elasticities, which measure the effects of pricing on key business metrics. Elasticity estimation is the goal of statistical modeling, so attention is paid to the concept and implications of elasticities. The statistical modeling component is advanced and detailed covering choice (conjoint, discrete choice, MaxDiff) and sales data modeling. Experimental design principles, model estimation approaches, and analysis methods are discussed and developed for choice models. Regression fundamentals have been developed for sales model specification and estimation and expanded for latent class analysis.
Author: Robert G. Cross
Publisher: Crown Currency
ISBN: 0307788989
Category : Business & Economics
Languages : en
Pages : 289
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Book Description
From the man the Wall Street Journal hailed as "the guru of Revenue Management" comes revolutionary ways to recover from the after effects of downsizing and refocus your business on growth. Whatever happened to growth? In Revenue Management, Robert G. Cross answers this question with his ground-breaking approach to revitalizing businesses: focusing on the revenue side of the ledger instead of the cost side. The antithesis of slash-and-burn methods that left companies with empty profits and dissatisfied stockholders, Revenue Management overturns conventional thinking on marketing strategies and offers the key to initiating and sustaining growth. Using case studies from a variety of industries, small businesses, and nonprofit organizations, Cross describes no-tech, low-tech, and high-tech methods that managers can use to increase revenue without increasing products or promotions; predict consumer behavior; tap into new markets; and deliver products and services to customers effectively and efficiently. His proven tactics will help any business dramatically improve its bottom line by meeting the challenge of matching supply with demand.
Author: Kelly A. McGuire
Publisher: John Wiley & Sons
ISBN: 1119224934
Category : Business & Economics
Languages : en
Pages : 433
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Book Description
Targeted analytics to address the unique opportunities in hospitality and gaming The Analytic Hospitality Executive helps decision makers understand big data and how it can drive value in the industry. Written by a leading business analytics expert who specializes in hospitality and travel, this book draws a direct link between big data and hospitality, and shows you how to incorporate analytics into your strategic management initiative. You'll learn which data types are critical, how to identify productive data sources, and how to integrate analytics into multiple business processes to create an overall analytic culture that turns information into insight. The discussion includes the tools and tips that help make it happen, and points you toward the specific places in your business that could benefit from advanced analytics. The hospitality and gaming industry has unique needs and opportunities, and this book's targeted guidance provides a roadmap to big data benefits. Like most industries, the hospitality and gaming industry is experiencing a rapid increase in data volume, variety, and velocity. This book shows you how to corral this growing current, and channel it into productive avenues that drive better business. Understand big data and analytics Incorporate analytics into existing business processes Identify the most valuable data sources Create a strategic analytic culture that drives value Although the industry is just beginning to recognize the value of big data, it's important to get up to speed quickly or risk losing out on benefits that could drive business to greater heights. The Analytic Hospitality Executive provides a targeted game plan from an expert on the inside, so you can start making your data work for you.
Author: Kelly A. McGuire
Publisher: John Wiley & Sons
ISBN: 1119129966
Category : Business & Economics
Languages : en
Pages : 357
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Book Description
Take control of revenue management in the new hotel economy Hotel Pricing in a Social World: How to Drive Value in the New Hotel Economy is an insightful resource that provides guidance on improving organizational decision making to keep your hotel relevant, from a pricing standpoint, in the often chaotic hotel landscape. This groundbreaking book clearly showcases the current environment of the hotel industry, and describes new and emerging trends that can impact your revenue management tactics. This essential text prepares you to survive and thrive in today's highly competitive market, and outlines the best approach to building profitable pricing strategies that follow both tactical and strategic best practices. Revenue management has become a key activity in the highly social environment of today's hotel industry, thanks to mobile technology and social media. Though relatively new, revenue management is a quickly-evolving discipline that requires precision if you want to maintain your hotel's relevance in the market. Leverage original research, case studies, and industry examples to understand the practical application of key concepts Explore current market conditions that have an impact on revenue management Consider how advances in data management, analytics, and data visualization can impact revenue management practices Identify how revenue management can help you take advantage of market opportunities and overcome challenges Hotel Pricing in a Social World: How to Drive Value in the New Hotel Economy is an essential text for hotel CFOs, CMOs, revenue managers, and operations managers who want to leverage revenue management techniques to keep their hotel competitive.
Author: Erik Haugom
Publisher:
ISBN: 9780367363222
Category : Electronic spreadsheets
Languages : en
Pages : 312
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Book Description
This book provides a broad introduction to the field of pricing as a tactical function in the daily operations of the firm and a toolbox for implementing and solving a wide range of pricing problems. Beyond the theoretical perspectives offered by most textbooks in the field, Essentials of Pricing Analytics supplements the concepts and models covered by demonstrating practical implementations using the highly accessible Excel software, analytical tools, real-life examples and global case studies. The book covers topics on fundamental pricing theory, break-even analysis, price sensitivity, empirical estimations of price-response functions, price optimisation, markdown optimisation, hedonic pricing, revenue management, the use of big data, simulation, and conjoint analysis in pricing decisions, and ethical and legal considerations. This is a uniquely accessible and practical text for advanced undergraduate, MBA and postgraduate students of pricing strategy, entrepreneurship and small business management, marketing strategy, sales and operations. It is also important reading for practitioners looking for accessible methods to implement pricing strategy and maximise profits. Online resources include Excel templates and PowerPoint slides for each chapter.
Author: Dave Roberts
Publisher: Business Expert Press
ISBN: 1637421923
Category : Business & Economics
Languages : en
Pages : 183
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Book Description
This book guides the reader from the building blocks of revenue management, to pricing science and merchandising, and to broader issues of setting objectives in support of a revenue strategy. The discipline is evolving, and that evolution has been accelerated by the COVID-19 pandemic. Leaders in hotel revenue management, and more broadly in sales & marketing, need to understand these changes, and lead and adapt accordingly. This will require a strong foundation in analytics–not just modeling, but also business analytics in support of a holistic strategy. As more of the tactics of revenue management are executed through automation, and powered by machine learning, revenue managers will become more focused on strategy and will need to think about revenue management in the context of marketing, loyalty, and distribution. As the strategy component of the discipline increases, so too must the breadth of knowledge of revenue managers.
