Big Data and Innovation in Tourism, Travel, and Hospitality Managerial Approaches, Techniques, and Applications /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Sigala, Marianna (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Rahimi, Roya (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Thelwall, Mike (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Singapore : Springer Singapore : Imprint: Springer, 2019.
• Έκδοση: 1st ed. 2019.
• Θέματα: Big data.; Tourism.; Management.; Big Data/Analytics.; Tourism Management.; Big Data.
• Φυσική περιγραφή: XII, 223 p. 43 illus., 32 illus. in color. online resource.
• ISBN: 9789811363399
• DOI: 10.1007/978-981-13-6339-9

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.