Applied Data Science in Tourism: Interdisciplinary Approaches, Methodologies, and Applications (Tourism on the Verge) - Hardcover

Hardcover

ISBN 10: 3030883884 ISBN 13: 9783030883881

Publisher: Springer, 2022

Synopsis

Access to large data sets has led to a paradigm shift in the tourism research landscape. Big data is enabling a new form of knowledge gain, while at the same time shaking the epistemological foundations and requiring new methods and analysis approaches. It allows for interdisciplinary cooperation between computer sciences and social and economic sciences, and complements the traditional research approaches. This book provides a broad basis for the practical application of data science approaches such as machine learning, text mining, social network analysis, and many more, which are essential for interdisciplinary tourism research. Each method is presented in principle, viewed analytically, and its advantages and disadvantages are weighed up and typical fields of application are presented. The correct methodical application is presented with a "how-to" approach, together with code examples, allowing a wider reader base including researchers, practitioners, and students entering the field. 

The book is a very well-structured introduction to data science – not only in tourism – and its methodological foundations, accompanied by well-chosen practical cases. It underlines an important insight: data are only representations of reality, you need methodological skills and domain background to derive knowledge from them

- Hannes Werthner, Vienna University of Technology

 

Roman Egger has accomplished a difficult but necessary task: make clear how data science can practically support and foster travel and tourism research and applications. The book offers a well-taught collection of chapters giving a comprehensive and deep account of AI and data science for tourism

- Francesco Ricci, Free University of Bozen-Bolzano

 

This well-structured and easy-to-read book provides a comprehensive overview of data science in tourism. It contributes largely to the methodological repository beyond traditional methods.

- Rob Law, University of Macau

About this title

About the Author

Dr. Roman Egger is a full Professor at the Salzburg University of Applied Sciences at the Department of Innovation and Management in Tourism, where he is the head of eTourism, and head of key competencies and research. His research focus lies on new technologies in tourism and their adoption from a user-centric perspective, as well as on methodological issues in tourism research. Roman has published 19 books so far, a large number of articles and chapters in international journals and edited books, is co-editor of the Journal of Tourism Science (De Gruyter), series editor of “Tourism on the Verge” (Springer), and board member of a number of journals. He is a member of IFITT, AIEST, DGT, and a fellow of The ICE. Roman has received more than a dozen awards in his career.

From the Back Cover

Access to large data sets has led to a paradigm shift in the tourism research landscape. Big data is enabling a new form of knowledge gain, while at the same time shaking the epistemological foundations and requiring new methods and analysis approaches. It allows for interdisciplinary cooperation between computer sciences and social and economic sciences, and complements the traditional research approaches. This book provides a broad basis for the practical application of data science approaches such as machine learning, text mining, social network analysis, and many more, which are essential for interdisciplinary tourism research. Each method is presented in principle, viewed analytically, and its advantages and disadvantages are weighed up and typical fields of application are presented. The correct methodical application is presented with a "how-to" approach, together with code examples, allowing a wider reader base including researchers, practitioners, and students entering the field. 

The book is a very well-structured introduction to data science – not only in tourism – and its methodological foundations, accompanied by well-chosen practical cases. It underlines an important insight: data are only representations of reality, you need methodological skills and domain background to derive knowledge from them. 

- Hannes Werthner, Vienna University of Technology.

 

Roman Egger has accomplished a difficult but necessary task: make clear how data science can practically support and foster travel and tourism research and applications. The book offers a well-taught collection of chapters giving a comprehensive and deep account of AI and data science for tourism. 

- Francesco Ricci, Free University of Bozen-Bolzano.

 

This well-structured and easy-to-read book provides a comprehensive overview of data science in tourism. It contributes largely to the methodological repository beyond traditional methods. 

 - Rob Law, University of Macau.

Edition details

• Publisher: Springer
• Publication date: 2022
• Language: English
• ISBN 10: 3030883884
• ISBN 13: 9783030883881
• Binding: Hardcover
• Edition number: 1
• Number of pages: 667
• Editor: Egger Roman