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Titlebook: Big Data and Innovation in Tourism, Travel, and Hospitality; Managerial Approache Marianna Sigala,Roya Rahimi,Mike Thelwall Book 2019 Sprin

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發(fā)表于 2025-3-21 16:50:34 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱(chēng)Big Data and Innovation in Tourism, Travel, and Hospitality
期刊簡(jiǎn)稱(chēng)Managerial Approache
影響因子2023Marianna Sigala,Roya Rahimi,Mike Thelwall
視頻videohttp://file.papertrans.cn/186/185676/185676.mp4
發(fā)行地址Uses the tourism sector as a context for demonstrating the practical implications and applications of big data exploitation.Provides a process framework consolidating all the issues that firms and res
圖書(shū)封面Titlebook: Big Data and Innovation in Tourism, Travel, and Hospitality; Managerial Approache Marianna Sigala,Roya Rahimi,Mike Thelwall Book 2019 Sprin
影響因子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..
Pindex Book 2019
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Introduction to Diophantine Approximationsation online. Smart technology that exploits IoT data offers new opportunities for the travel and hospitality industry. The IoT enables easy access and interaction with a wide variety of information for contexts such as transportation, attractions, tours, shopping and hotels. IoT big data tourism ap
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Introduction to ARENA Software, access more data than they know how to handle and translate into value. However, although the literature has started investigating the use of big data for generating economic value, there has been a lack of research into the use of big data for delivering social value. To address these gaps, this c
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Christos G. Cassandras,Stéphane Lafortunendustry. The tourism industry faces several challenges when using big data and volunteered geographic information (VGI) to develop new services. Managers need new capabilities to exploit this newly available information and to understand the possibilities that it has created. To give an overview of
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Introduction to Discrete-Event Simulation,s (LBSN). A major problem is the lack of knowledge in respect to the visitors’ views about a destination, as well as the fact that the visitors’ behavior needs and preferences are not visible. Many enterprises and local authorities are still using traditional methods for acquiring knowledge to make
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Introduction to Discrete Event Systems proposals for spa services. A panel of domain experts annotated these idea descriptions with a score for their innovativeness that serves as ground truth for machine learning experiments. Thus, the contribution lies in the application of topic modeling techniques to free-text idea descriptions in o
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