Structured across nine chapters, this work moves from foundational concepts to advanced theoretical models and actionable strategies. Drawing on an interdisciplinary framework that integrates economics, behavioral science, ecology, and artificial intelligence (AI), the book combines qualitative insights from 19 studies with quantitative rigor through 79 time-series analyses. Innovative tools such as the Tourism-Time Possibilities Frontier (TTPF) and statistical models like Census X-13-ARIMA-SEATS provide cutting-edge approaches to understanding and managing seasonality.
Key themes include:
This book is an essential resource for researchers, policymakers, and practitioners seeking to navigate the complexities of tourism seasonality in a rapidly changing global context.
"Sinopsis" puede pertenecer a otra edición de este libro.
Dr. Jorge Ridderstaat is an Associate Professor at the Rosen College of Hospitality Management, University of Central Florida, USA. With a research focus on tourism economics, destination development, and consumer behavior, his work explores the complex interactions between tourists, investors, businesses, governments, and local communities. His research has significantly contributed to understanding tourism’s role in economic, social, and environmental sustainability.
Structured across nine chapters, this work moves from foundational concepts to advanced theoretical models and actionable strategies. Drawing on an interdisciplinary framework that integrates economics, behavioral science, ecology, and artificial intelligence (AI), the book combines qualitative insights from 19 studies with quantitative rigor through 79 time-series analyses. Innovative tools such as the Tourism-Time Possibilities Frontier (TTPF) and statistical models like Census X-13-ARIMA-SEATS provide cutting-edge approaches to understanding and managing seasonality.
Key themes include:
This book is an essential resource for researchers, policymakers, and practitioners seeking to navigate the complexities of tourism seasonality in a rapidly changing global context.
"Sobre este título" puede pertenecer a otra edición de este libro.
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Structured across nine chapters, this work moves from foundational concepts to advanced theoretical models and actionable strategies. Drawing on an interdisciplinary framework that integrates economics, behavioral science, ecology, and artificial intelligence (AI), the book combines qualitative insights from 19 studies with quantitative rigor through 79 time-series analyses. Innovative tools such as the Tourism-Time Possibilities Frontier (TTPF) and statistical models like Census X-13-ARIMA-SEATS provide cutting-edge approaches to understanding and managing seasonality.Key themes include:Historical and ecological perspectives on tourism rhythmsAI-driven solutions for seasonality managementThe intersection of seasonality with overtourism and sustainabilityCross-cultural influences and temporal justice in tourism planningThis book is an essential resource for researchers, policymakers, and practitioners seeking to navigate the complexities of tourism seasonality in a rapidly changing global context. 326 pp. Englisch. Nº de ref. del artículo: 9783032192028
Cantidad disponible: 2 disponibles
Librería: moluna, Greven, Alemania
Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Nº de ref. del artículo: 2871012402
Cantidad disponible: Más de 20 disponibles
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - Structured across nine chapters, this work moves from foundational concepts to advanced theoretical models and actionable strategies. Drawing on an interdisciplinary framework that integrates economics, behavioral science, ecology, and artificial intelligence (AI), the book combines qualitative insights from 19 studies with quantitative rigor through 79 time-series analyses. Innovative tools such as the Tourism-Time Possibilities Frontier (TTPF) and statistical models like Census X-13-ARIMA-SEATS provide cutting-edge approaches to understanding and managing seasonality.Key themes include:Historical and ecological perspectives on tourism rhythmsAI-driven solutions for seasonality managementThe intersection of seasonality with overtourism and sustainabilityCross-cultural influences and temporal justice in tourism planningThis book is an essential resource for researchers, policymakers, and practitioners seeking to navigate the complexities of tourism seasonality in a rapidly changing global context. Nº de ref. del artículo: 9783032192028
Cantidad disponible: 1 disponibles
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
Buch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Structured across nine chapters, this work moves from foundational concepts to advanced theoretical models and actionable strategies. Drawing on an interdisciplinary framework that integrates economics, behavioral science, ecology, and artificial intelligence (AI), the book combines qualitative insights from 19 studies with quantitative rigor through 79 time-series analyses. Innovative tools such as the Tourism-Time Possibilities Frontier (TTPF) and statistical models like Census X-13-ARIMA-SEATS provide cutting-edge approaches to understanding and managing seasonality.Springer Nature Customer Service Center GmbH, Europaplatz 3,69115 Heidelberg, Germany, Heidelberg 340 pp. Englisch. Nº de ref. del artículo: 9783032192028
Cantidad disponible: 1 disponibles
Librería: Books Puddle, Woodside, NY, Estados Unidos de America
Condición: New. Nº de ref. del artículo: 26405522605
Cantidad disponible: 4 disponibles
Librería: Majestic Books, Hounslow, Reino Unido
Condición: New. Print on Demand. Nº de ref. del artículo: 408713074
Cantidad disponible: 4 disponibles
Librería: Biblios, Frankfurt am main, HESSE, Alemania
Condición: New. PRINT ON DEMAND. Nº de ref. del artículo: 18405522599
Cantidad disponible: 4 disponibles