Review of tourism forecasting research with internet data

doi:10.1016/j.tourman.2020.104245

CSpace

	Review of tourism forecasting research with internet data
	Li, Xin 1; Law, Rob 2; Xie, Gang 3; Wang, Shouyang 3
	2021-04-01
发表期刊	TOURISM MANAGEMENT
ISSN	0261-5177
卷号	83 页码:11
摘要	Internet techniques significantly influence the tourism industry and Internet data have been used widely used in tourism and hospitality research. However, reviews on the recent development of Internet data in tourism forecasting remain limited. This work reviews articles on tourism forecasting research with Internet data published in academic journals from 2012 to 2019. Then, the findings ae synthesized based on the following Internet data classifications: search engine, web traffic, social media, and multiple sources. Results show that among such classifications, search engine data are most widely incorporated into tourism forecasting. Time series and econometric forecasting models remain dominant, whereas artificial intelligence methods are still developing. For unstructured social media and multi-source data, methodological advancements in text mining, sentiment analysis, and social network analysis are required to transform data into time series for forecasting. Combined Internet data and forecasting models will help in improving forecasting accuracy further in future research.
关键词	Internet data Tourism forecasting Search engine Social media Systematic review
DOI	10.1016/j.tourman.2020.104245
收录类别	SCI
语种	英语
资助项目	National Natural Science Foundation of China[71601021] ; Fundamental Research Funds for the Central Universities[FRF-TP19-067A1]
WOS研究方向	Environmental Sciences & Ecology ; Social Sciences - Other Topics ; Business & Economics
WOS类目	Environmental Studies ; Hospitality, Leisure, Sport & Tourism ; Management
WOS记录号	WOS:000596370300005
出版者	ELSEVIER SCI LTD
引用统计
文献类型	期刊论文
条目标识符	http://ir.amss.ac.cn/handle/2S8OKBNM/57905
专题	中国科学院数学与系统科学研究院
通讯作者	Li, Xin
作者单位	1.Univ Sci & Technol Beijing, Sch Econ & Management, Beijing 100083, Peoples R China 2.Hong Kong Polytech Univ, Sch Hotel & Tourism Management, Hong Kong, Peoples R China 3.Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100190, Peoples R China
推荐引用方式 GB/T 7714	Li, Xin,Law, Rob,Xie, Gang,et al. Review of tourism forecasting research with internet data[J]. TOURISM MANAGEMENT,2021,83:11.
APA	Li, Xin,Law, Rob,Xie, Gang,&Wang, Shouyang.(2021).Review of tourism forecasting research with internet data.TOURISM MANAGEMENT,83,11.
MLA	Li, Xin,et al."Review of tourism forecasting research with internet data".TOURISM MANAGEMENT 83(2021):11.