UM  > Faculty of Business Administration
Residential Collegefalse
Status已發表Published
Advancing reliability assessment of venue-reference social media data for enhanced domestic tourism development
Huy Quan Vu1; Shah Jahan Miah2; Haiyang Xia3; Gang Li,4; Birgit Muskat3; Rob Law5
2023-06-20
Source PublicationInformation Technology and Tourism
ABS Journal Level1
ISSN1098-3058
Volume25Issue:3Pages:433-451
Abstract

The aim of this research is to assess the reliability of venue check-in data. We focus on resident mobility and assess how venue check-in data can provide valuable insights into residents’ movement in tourist destinations. Understanding resident’s mobility and related activities is necessary for strategic planning and decision making for destination managers. Venue-referenced social media data (VR-SMD) is a new type of data and can provide insights into resident’s mobility and behavior. While VR-SMD is available on various social media platforms, their reliability to capture resident movement and activities has not been fully realized. We present an analytical approach to assess and demonstrate how VR-SMD, specifically venue check-in data, can be used to capture resident mobility and activities, with illustrative examples from the United States of America, United Kingdom, and Singapore. Results and analysis indicate that tourism managers and government organizations can exploit VR-SMD for domestic tourism development.

KeywordDomestic Tourism Mobility Tracking Venue Check-in Vr-smd
DOI10.1007/s40558-023-00254-z
URLView the original
Indexed BySSCI
Language英語English
WOS Research AreaSocial Sciences - Other Topics
WOS SubjectHospitality, Leisure, Sport & Tourism
WOS IDWOS:001011710000001
PublisherSPRINGER HEIDELBERGTIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY
Scopus ID2-s2.0-85162211608
Fulltext Access
Citation statistics
Document TypeJournal article
CollectionFaculty of Business Administration
ASIA-PACIFIC ACADEMY OF ECONOMICS AND MANAGEMENT
DEPARTMENT OF INTEGRATED RESORT AND TOURISM MANAGEMENT
Corresponding AuthorHuy Quan Vu
Affiliation1.Department of Information Systems and Business Analytics,Deakin University,Melbourne,Australia
2.Newcastle Business School,University of Newcastle,Newcastle,Australia
3.Research School of Management,Australian National University,Canberra,Australia
4.School of Information Technology,Deakin University,Melbourne,Australia
5.Asia-Pacific Academy of Economics and Management,Department of Integrated Resort and Tourism Management,Faculty of Business Administration,University of Macau,Macao
Recommended Citation
GB/T 7714
Huy Quan Vu,Shah Jahan Miah,Haiyang Xia,et al. Advancing reliability assessment of venue-reference social media data for enhanced domestic tourism development[J]. Information Technology and Tourism, 2023, 25(3), 433-451.
APA Huy Quan Vu., Shah Jahan Miah., Haiyang Xia., Gang Li,., Birgit Muskat., & Rob Law (2023). Advancing reliability assessment of venue-reference social media data for enhanced domestic tourism development. Information Technology and Tourism, 25(3), 433-451.
MLA Huy Quan Vu,et al."Advancing reliability assessment of venue-reference social media data for enhanced domestic tourism development".Information Technology and Tourism 25.3(2023):433-451.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Huy Quan Vu]'s Articles
[Shah Jahan Miah]'s Articles
[Haiyang Xia]'s Articles
Baidu academic
Similar articles in Baidu academic
[Huy Quan Vu]'s Articles
[Shah Jahan Miah]'s Articles
[Haiyang Xia]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Huy Quan Vu]'s Articles
[Shah Jahan Miah]'s Articles
[Haiyang Xia]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.