TOURISM SUPPLY CHAIN MANAGEMENT
ebook

TOURISM SUPPLY CHAIN MANAGEMENT (ebook)

HAIYAN SONG

$1,560.00
IVA incluido
Editorial:
ROUTLEDGE
ISBN:
9781136640315
Páginas:
234
Formato:
Epublication content package
Idioma:
Inglés
DRM
Si

Fierce global competition in the tourism industry is now focused on integral parts of supply chains rather than on individual firms. The highly competitive environment has forced tourism firms to look for ways to enhance their competitive advantage. Tourism products are often viewed by consumers as a value-added chain of different service components and identifying ways to effectively manage the interrelated tourism business operations will enable tourism firms to better meet customer needs and accomplish business goals thus maintaining competitive advantage over their equally efficient rivals. This significant and timely volume is the first to apply supply chain management theories and practices in the context of tourism. By doing so the book offers insight into the relationships between tourism enterprises, how coordination across organizations can be effectively achieved and how business performance can be improved. It provides comprehensive and systematic coverage of modern supply chain management concepts and methodologies applied to the tourism and hospitality industries. The text covers key issues and principles including: marketing and product development, demand forecasting, supplier selection and management, distribution channels, capacity management, customer relationship management, tourism supply chain competition and coordination, and e-tourism. The book combines essential theory and comparative international examples based on primary research to show challenges and opportunities of effective tourism supply chain management. This text is essential for final year undergraduate and postgraduate students studying Tourism Management, Tourism Planning and Tourism Economics.

Otros libros del autor

  • TOURISM DEMAND MODELLING AND FORECASTING
    HAIYAN SONG
    The phenomenal growth of both the world-wide tourism industry and academic interest in tourism over the last thirty years has generated great interest in tourism demand modelling and forecasting from both sectors. However, the tendency for researchers and practitioners engaged in quantitative causal tourism modelling and forecasting to run many regression equations and try to c...

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