Big Data and Innovation in Tourism, Travel, and Hospitality [electronic resource] : Managerial Approaches, Techniques, and Applications

• Tác giả: Roya Rahimi, Marianna Sigala, Mike Thelwall
• ISBN-13: 978-9811363399
• Ký hiệu phân loại: 001.422 Statistical methods
• Thông tin xuất bản: Singapore : Springer Nature Singapore : Imprint: Springer, 2019.
• Mô tả vật lý: XII, 223 p. 43 illus., 32 illus. in color. , online resource.
• Bộ sưu tập: Tài liệu truy cập mở
• ID: 303963
• Chủ đề: 1. Big data; 2. Management; 3. Quantitative research; 4. Tourism; 5. Data Analysis and Big Data

Tóm tắt

 This book brings together multi-disciplinary research and practical evidence about the role and exploitation of big data in driving and supporting innovation in tourism. It also provides a consolidated framework and roadmap summarising the major issues that both researchers and practitioners have to address for effective big data innovation. The book proposes a process-based model to identify and implement big data innovation strategies in tourism. This process framework consists of four major parts: 1) inputs required for big data innovation
  2) processes required to implement big data innovation
  3) outcomes of big data innovation
  and 4) contextual factors influencing big data exploitation and advances in big data exploitation for business innovation.