Big Data for Better Tourism Policy, Management, and Sustainable Recovery from COVID-19
Seiten
2022
Asian Development Bank (Verlag)
978-92-9269-135-6 (ISBN)
Asian Development Bank (Verlag)
978-92-9269-135-6 (ISBN)
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Explores how big data and digitalization can support sustainable tourism development and help revitalize and reshape the sector as it emerges from the pandemic. The report, co-published with the World Tourism Organization, examines trends, challenges and opportunities in the use of big data in tourism.
This joint publication explores how big data and digitalization can support sustainable tourism development and help revitalize and reshape the sector as it emerges from the pandemic.
The report, co-published with the World Tourism Organization, examines trends, challenges and opportunities in the use of big data in tourism. It highlights the need for investment in big data systems, partnerships with private and public sector big data providers, the adoption of proven measurement systems for sustainable tourism, and regional policy cooperation. Case studies from Asia and the Pacific illustrate ways of tapping big data in tourism development.
This joint publication explores how big data and digitalization can support sustainable tourism development and help revitalize and reshape the sector as it emerges from the pandemic.
The report, co-published with the World Tourism Organization, examines trends, challenges and opportunities in the use of big data in tourism. It highlights the need for investment in big data systems, partnerships with private and public sector big data providers, the adoption of proven measurement systems for sustainable tourism, and regional policy cooperation. Case studies from Asia and the Pacific illustrate ways of tapping big data in tourism development.
Erscheinungsdatum | 25.01.2022 |
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Verlagsort | Manila |
Sprache | englisch |
Maße | 216 x 298 mm |
Gewicht | 333 g |
Themenwelt | Mathematik / Informatik ► Informatik ► Datenbanken |
Mathematik / Informatik ► Informatik ► Web / Internet | |
Studium ► Querschnittsbereiche ► Infektiologie / Immunologie | |
Wirtschaft ► Betriebswirtschaft / Management ► Wirtschaftsinformatik | |
Wirtschaft ► Volkswirtschaftslehre ► Makroökonomie | |
ISBN-10 | 92-9269-135-X / 929269135X |
ISBN-13 | 978-92-9269-135-6 / 9789292691356 |
Zustand | Neuware |
Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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