<?xml version="1.0" encoding="UTF-8"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-10-23T14:55:23Z</responseDate><request verb="GetRecord" identifier="oai:gumushane-rdlopen.rawdatalibrary.net:gumushane/14380" metadataPrefix="oai_dc">https://gumushane-rdlopen.rawdatalibrary.net/oai/request</request><GetRecord><record><header><identifier>oai:gumushane-rdlopen.rawdatalibrary.net:gumushane/14380</identifier><datestamp>2026-10-22T11:37:04Z</datestamp><setSpec>openaire</setSpec><setSpec>com_gumushane_10000</setSpec><setSpec>col_gumushane_10001</setSpec><setSpec>com_gumushane_10007</setSpec><setSpec>col_gumushane_10187</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:title>Unpacking the power of user-generated videos in hospitality and tourism: a systematic literature review and future direction</dc:title><dc:creator>Polat, Eray</dc:creator><dc:creator>Çelik, Fatih</dc:creator><dc:creator>Ibrahim, Blend</dc:creator><dc:creator>Köseoglu, Mehmet Ali</dc:creator><dc:subject>behavioral intention</dc:subject><dc:subject>co-word analysis</dc:subject><dc:subject>destination image</dc:subject><dc:subject>short-form videos</dc:subject><dc:subject>social media platforms</dc:subject><dc:subject>systematic literature review</dc:subject><dc:subject>TCM framework</dc:subject><dc:subject>travel live-streaming</dc:subject><dc:subject>User-generated content</dc:subject><dc:subject>user-generated video</dc:subject><dc:description>We review user-generated video (UGV)-research in hospitality and tourism (H&amp;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&amp;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:description><dc:publisher>Routledge</dc:publisher><dc:date>2023</dc:date><dc:type>Article</dc:type><dc:identifier>https://rdlopen.rawdatalibrary.net/r/gumushane/14380</dc:identifier><dc:identifier>https://doi.org/10.1080/10548408.2023.2296655</dc:identifier><dc:identifier>1054-8408</dc:identifier><dc:language>en</dc:language><dc:relation>Journal of Travel and Tourism Marketing</dc:relation><dc:rights>info:eu-repo/semantics/closedAccess</dc:rights><dc:type>info:eu-repo/semantics/article</dc:type><dc:identifier>https://gumushane-rdlopen.rawdatalibrary.net/tr/items/gumushane/14380</dc:identifier></oai_dc:dc></metadata></record></GetRecord></OAI-PMH>