Unpacking the power of user-generated videos in hospitality and tourism: a systematic literature review and future direction

MakaleYalnız künye

Özet

We review user-generated video (UGV)-research in hospitality and tourism (H&T), provide an overview of its current-state, and suggest ways forward. We adopted a systematic literature review methodology and reviewed 66 articles with TCM (theory/context/methodology) framework. UGV-research focuses on (i) destination image perception, (ii) short-form videos and travel live-streaming, (iii) behavioral intentions, and (iv) crisis management. Theoretical development is diverse, given the descriptive nature of research questions, but it is still in its infancy. The context varies by H&T setting, type of social media platform, population, and country. Research methods and techniques range from traditional analysis to advanced machine learning or artificial intelligence-based quantitative approaches, predominantly qualitative methods.

Anahtar Kelimeler

RDL Kalıcı Bağlantı (PID)
https://rdlopen.rawdatalibrary.net/r/gumushane/14380Resmi atıflarda kullanılan kalıcı adres
Tam Kayıt
AlanDeğerDil
dc.contributor.authorPolat, Eray
dc.contributor.authorÇelik, Fatih
dc.contributor.authorIbrahim, Blend
dc.contributor.authorKöseoglu, Mehmet Ali
dc.date.accessioned2026-10-22T10:22:38.171388121Z
dc.date.available2026-10-22T10:22:38.171388121Z
dc.date.issued2023
dc.description.abstractWe review user-generated video (UGV)-research in hospitality and tourism (H&T), provide an overview of its current-state, and suggest ways forward. We adopted a systematic literature review methodology and reviewed 66 articles with TCM (theory/context/methodology) framework. UGV-research focuses on (i) destination image perception, (ii) short-form videos and travel live-streaming, (iii) behavioral intentions, and (iv) crisis management. Theoretical development is diverse, given the descriptive nature of research questions, but it is still in its infancy. The context varies by H&T setting, type of social media platform, population, and country. Research methods and techniques range from traditional analysis to advanced machine learning or artificial intelligence-based quantitative approaches, predominantly qualitative methods.
dc.identifier.doi10.1080/10548408.2023.2296655
dc.identifier.eissn1540-7306
dc.identifier.endpage914
dc.identifier.issn1054-8408
dc.identifier.issue9
dc.identifier.scopus2-s2.0-85181959808
dc.identifier.startpage894
dc.identifier.urihttps://rdlopen.rawdatalibrary.net/r/gumushane/14380
dc.identifier.volume40
dc.identifier.wosWOS:001138337600001
dc.language.isoen
dc.publisherRoutledge
dc.relation.ispartofJournal of Travel and Tourism Marketing
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectbehavioral intention
dc.subjectco-word analysis
dc.subjectdestination image
dc.subjectshort-form videos
dc.subjectsocial media platforms
dc.subjectsystematic literature review
dc.subjectTCM framework
dc.subjecttravel live-streaming
dc.subjectUser-generated content
dc.subjectuser-generated video
dc.subject.classificationHospitality, Leisure, Sport & Tourism
dc.subject.classificationSocial Sciences - Other Topics
dc.subject.otherSOCIAL MEDIA
dc.subject.otherINFORMATION
dc.subject.otherSTRATEGIES
dc.subject.otherTIKTOK
dc.subject.otherTRUST
dc.titleUnpacking the power of user-generated videos in hospitality and tourism: a systematic literature review and future direction
dc.typeArticle
dspace.entity.typePublication
rdl.citation.openalex55
rdl.citation.scopus61
rdl.citation.wos43
rdl.oa.statusclosed
rdl.source.indexSCOPUS
rdl.source.indexWOS
rdl.wos.indexSocial Science Citation Index (SSCI)