ISBN
| 9789811363382 |
DDC
| 338.4791 |
Nhan đề
| Big Data and Innovation in Tourism, Travel, and Hospitality : Managerial Approaches, Techniques, and Applications / [Editors] Marianna Sigala ... [et al] |
Thông tin xuất bản
| Singapore : Springer, 2019 |
Mô tả vật lý
| 227 pages. : illustrations |
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. |
Thuật ngữ chủ đề
| Tourism |
Thuật ngữ chủ đề
| Big data |
Thuật ngữ chủ đề
| Tourism-Technological innovations |
Khoa
| Khoa Du lịch và Việt Nam học |
Tác giả(bs) CN
| Sigala, Marianna |
Tác giả(bs) CN
| Rahimi, Roya, 1982- |
Tác giả(bs) CN
| Thelwall, Mike |
Địa chỉ
| Thư Viện Đại học Nguyễn Tất Thành |
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245 | |aBig Data and Innovation in Tourism, Travel, and Hospitality : |bManagerial Approaches, Techniques, and Applications / |c[Editors] Marianna Sigala ... [et al] |
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260 | |aSingapore : |bSpringer, |c2019 |
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300 | |a227 pages. : |billustrations |
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520 | |aThis 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. |
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700 | |aSigala, Marianna|eeditors |
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