Airline Revenue Management | Current Practices and Future Directions

Curt Cramer (u. a.)

ISBN 10: 3658337230 ISBN 13: 9783658337230

Editorial: Springer Fachmedien Wiesbaden, 2022

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Sinopsis:

The book provides a comprehensive overview of current practices and future directions in airline revenue management. It explains state-of-the-art revenue management approaches and outlines how these will be augmented and enhanced through modern data science and machine learning methods in the future. Several practical examples and applications will make the reader familiar with the relevance of the corresponding ideas and concepts for an airline commercial organization. The book is ideal for both students in the field of airline and tourism management as well as for practitioners and industry experts seeking to refresh their knowledge about current and future revenue management approaches, as well as to get an introductory understanding of data science and machine learning methods. Each chapter closes with a checkpoint, allowing the reader to deepen the understanding of the contents covered.

This textbook has been recommended and developed for university courses in Germany, Austria and Switzerland.

Acerca del autor:

Curt Cramer is an Advanced Analytics and Data Science executive in the retail industry. He has gathered extensive applied analytics experience in 15 years of consulting and line management responsibilities across industries, including leisure travel. He holds a Ph. D. in Engineering/Computer Science from the University of Karlsruhe/KIT.

Andreas Thams is an Honorary Professor for Airline Management at University of Applied Sciences Worms. He held various commercial management positions in the airline, travel, and logistics industry, particularly in the field of revenue management. He has a Ph. D. in Econometrics from Freie Universit�t Berlin.

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T�tulo: Airline Revenue Management | Current ...
Editorial: Springer Fachmedien Wiesbaden
A�o de publicaci�n: 2022
Encuadernaci�n: Taschenbuch
Condici�n: Neu

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Airline Revenue Management

Cramer, Curt|Thams, Andreas

Publicado por Springer, Berlin|Springer Fachmedien Wiesbaden|Springer Gabler, 2022

ISBN 10: 3658337230 ISBN 13: 9783658337230

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Condici�n: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The book provides a comprehensive overview of current practices and future directions in airline revenue management. It explains state-of-the-art revenue management approaches and outlines how these will be augmented and enhanced through modern data science. N� de ref. del art�culo: 738837674

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Airline Revenue Management (eng)

Cramer, Curt

Publicado por Springer Gabler, 2022

ISBN 10: 3658337230 ISBN 13: 9783658337230

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Airline Revenue Management: Current Practices and Future Directions

Cramer, Curt; Thams, Andreas

Publicado por Springer Gabler, 2022

ISBN 10: 3658337230 ISBN 13: 9783658337230

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Airline Revenue Management: Current Practices and Future Directions

Cramer, Curt; Thams, Andreas

Publicado por Springer Gabler, 2022

ISBN 10: 3658337230 ISBN 13: 9783658337230

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Airline Revenue Management : Current Practices and Future Directions

Andreas Thams

Publicado por Springer Fachmedien Wiesbaden, 2022

ISBN 10: 3658337230 ISBN 13: 9783658337230

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Taschenbuch. Condici�n: Neu. Druck auf Anfrage Neuware - Printed after ordering - The book provides a comprehensive overview of current practices and future directions in airline revenue management. It explains state-of-the-art revenue management approaches and outlines how these will be augmented and enhanced through modern data science and machine learning methods in the future. Several practical examples and applications will make the reader familiar with the relevance of the corresponding ideas and concepts for an airline commercial organization. The book is ideal for both students in the field of airline and tourism management as well as for practitioners and industry experts seeking to refresh their knowledge about current and future revenue management approaches, as well as to get an introductory understanding of data science and machine learning methods. Each chapter closes with a checkpoint, allowing the reader to deepen the understanding of the contents covered.This textbook has been recommended and developed for university courses in Germany, Austriaand Switzerland. N� de ref. del art�culo: 9783658337230

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Airline Revenue Management

Curt Cramer

Publicado por Springer Fachmedien Wiesbaden Nov 2022, 2022

ISBN 10: 3658337230 ISBN 13: 9783658337230

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Taschenbuch. Condici�n: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The book provides a comprehensive overview of current practices and future directions in airline revenue management. It explains state-of-the-art revenue management approaches and outlines how these will be augmented and enhanced through modern data science and machine learning methods in the future. Several practical examples and applications will make the reader familiar with the relevance of the corresponding ideas and concepts for an airline commercial organization. The book is ideal for both students in the field of airline and tourism management as well as for practitioners and industry experts seeking to refresh their knowledge about current and future revenue management approaches, as well as to get an introductory understanding of data science and machine learning methods. Each chapter closes with a checkpoint, allowing the reader to deepen the understanding of the contents covered.Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 132 pp. Englisch. N� de ref. del art�culo: 9783658337230

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Airline Revenue Management

Andreas Thams

Publicado por Springer Fachmedien Wiesbaden Nov 2022, 2022

ISBN 10: 3658337230 ISBN 13: 9783658337230

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Taschenbuch. Condici�n: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The book provides a comprehensive overview of current practices and future directions in airline revenue management. It explains state-of-the-art revenue management approaches and outlines how these will be augmented and enhanced through modern data science and machine learning methods in the future. Several practical examples and applications will make the reader familiar with the relevance of the corresponding ideas and concepts for an airline commercial organization. The book is ideal for both students in the field of airline and tourism management as well as for practitioners and industry experts seeking to refresh their knowledge about current and future revenue management approaches, as well as to get an introductory understanding of data science and machine learning methods. Each chapter closes with a checkpoint, allowing the reader to deepen the understanding of the contents covered.This textbook has been recommended and developed for university courses in Germany, Austria and Switzerland. 132 pp. Englisch. N� de ref. del art�culo: 9783658337230

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