Analytics in smart tourism design : concepts and methods / Zheng Xiang; Daniel R Fesenmaier editors

This book presents cutting edge research on the development of analytics in travel and tourism. It introduces new conceptual frameworks and measurement tools, as well as applications and case studies for destination marketing and management. It is divided into five parts: Part one on travel demand a...

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Tác giả chính: Fesenmaier, Daniel R.editors, Xiang, Zhengeditors
Đồng tác giả: Fesenmaier, Daniel R. editors
Định dạng: text
Ngôn ngữ:eng
Thông tin xuất bản: Springer,
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spelling ntt-http:--elib.ntt.edu.vn-Opac-DmdInfo.aspx?dmd_id=217212020-07-02Analytics in smart tourism design : concepts and methods / Zheng Xiang; Daniel R Fesenmaier editorsFesenmaier, Daniel R.editorsXiang, ZhengeditorsManagementBig dataWeb usage miningTourismInternet marketingBusinessKhoa Du lịch và Việt Nam họcThis book presents cutting edge research on the development of analytics in travel and tourism. It introduces new conceptual frameworks and measurement tools, as well as applications and case studies for destination marketing and management. It is divided into five parts: Part one on travel demand analytics focuses on conceptualizing and implementing travel demand modeling using big data. It illustrates new ways to identify, generate and utilize large quantities of data in tourism demand forecasting and modeling. Part two focuses on analytics in travel and everyday life, presenting recent developments in wearable computers and physiological measurement devices, and the implications for our understanding of on-the-go travelers and tourism design. Part three embraces tourism geoanalytics, correlating social media and geo-based data with tourism statistics. Part four discusses web-based and social media analytics and presents the latest developments in utilizing user-generated content on the Internet to understand a number of managerial problems. The final part is a collection of case studies using web-based and social media analytics, with examples from the Sochi Olympics on Twitter, leveraging online reviews in the hotel industry, and evaluating destination communications and market intelligence with online hotel reviews. The chapters in this section collectively describe a range of different approaches to understanding market dynamics in tourism and hospitalityMuaSpringer, Fesenmaier, Daniel R. editorsXiang, Zheng editorsFesenmaier, Daniel R. editorsXiang, Zheng editors2017texthttp://elib.ntt.edu.vn/documentdata01/2 tailieuthamkhao/300 khoahocxahoi/anhbiasach/21721_analyticsinsmarttourismdesign_kthumbimage.jpg9783319442624http://elib.ntt.edu.vn/Opac/DmdInfo.aspx?dmd_id=21721enghttp://elib.ntt.edu.vn/documentdata01/2 tailieuthamkhao/300 khoahocxahoi/anhbiasach/21721_analyticsinsmarttourismdesign_kthumbimage.jpg 
institution Trường Đại học - Nguyễn Tất Thành
collection Kipos
language eng
topic Management
Big data
Web usage mining
Tourism
Internet marketing
Business
Khoa Du lịch và Việt Nam học
spellingShingle Management
Big data
Web usage mining
Tourism
Internet marketing
Business
Khoa Du lịch và Việt Nam học
Fesenmaier, Daniel R.editors
Xiang, Zhengeditors
Analytics in smart tourism design : concepts and methods / Zheng Xiang; Daniel R Fesenmaier editors
description This book presents cutting edge research on the development of analytics in travel and tourism. It introduces new conceptual frameworks and measurement tools, as well as applications and case studies for destination marketing and management. It is divided into five parts: Part one on travel demand analytics focuses on conceptualizing and implementing travel demand modeling using big data. It illustrates new ways to identify, generate and utilize large quantities of data in tourism demand forecasting and modeling. Part two focuses on analytics in travel and everyday life, presenting recent developments in wearable computers and physiological measurement devices, and the implications for our understanding of on-the-go travelers and tourism design. Part three embraces tourism geoanalytics, correlating social media and geo-based data with tourism statistics. Part four discusses web-based and social media analytics and presents the latest developments in utilizing user-generated content on the Internet to understand a number of managerial problems. The final part is a collection of case studies using web-based and social media analytics, with examples from the Sochi Olympics on Twitter, leveraging online reviews in the hotel industry, and evaluating destination communications and market intelligence with online hotel reviews. The chapters in this section collectively describe a range of different approaches to understanding market dynamics in tourism and hospitality
author2 Fesenmaier, Daniel R. editors
author_facet Fesenmaier, Daniel R. editors
Fesenmaier, Daniel R.editors
Xiang, Zhengeditors
format text
author Fesenmaier, Daniel R.editors
Xiang, Zhengeditors
author_sort Fesenmaier, Daniel R.editors
title Analytics in smart tourism design : concepts and methods / Zheng Xiang; Daniel R Fesenmaier editors
title_short Analytics in smart tourism design : concepts and methods / Zheng Xiang; Daniel R Fesenmaier editors
title_full Analytics in smart tourism design : concepts and methods / Zheng Xiang; Daniel R Fesenmaier editors
title_fullStr Analytics in smart tourism design : concepts and methods / Zheng Xiang; Daniel R Fesenmaier editors
title_full_unstemmed Analytics in smart tourism design : concepts and methods / Zheng Xiang; Daniel R Fesenmaier editors
title_sort analytics in smart tourism design : concepts and methods / zheng xiang; daniel r fesenmaier editors
publisher Springer,
url http://elib.ntt.edu.vn/documentdata01/2 tailieuthamkhao/300 khoahocxahoi/anhbiasach/21721_analyticsinsmarttourismdesign_kthumbimage.jpg
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