Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/97022
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dc.contributorDepartment of Management and Marketingen_US
dc.creatorGao, AYen_US
dc.creatorGu, FFen_US
dc.creatorLeung, Fen_US
dc.date.accessioned2023-01-17T06:57:24Z-
dc.date.available2023-01-17T06:57:24Z-
dc.identifier.urihttp://hdl.handle.net/10397/97022-
dc.language.isoenen_US
dc.rightsPosted with permission of the author.en_US
dc.subjectAuthenticityen_US
dc.subjectInfluencer marketingen_US
dc.subjectSocial mediaen_US
dc.subjectKey opinion leaderen_US
dc.titleInfluencer authenticityen_US
dc.typeConference Paperen_US
dcterms.abstractInfluencer authenticity, which distinguishes influencer marketing from traditional marketing tactics such as TV ads, company websites, and pop-up ads, remains an important concept, yet lacks formal conceptualization. This research uses a mixed-methods approach to conceptualize Influencer Authenticity (IA), identify its dimensions, develop its measurement scales, and investigate its impacts on customer engagement. Using a rigorous literature review and three qualitative studies, IA is conceptualized as a multi-dimensional construct containing passion, interactivity, symbolism, consistency, originality, and transparency (the PISCOT framework). Four quantitative studies develop scale items to measure the components of IA reliably. In the final field study, we show that IA positively affects customer engagement by creating higher consumer trust.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationPaper presented at 2022 AMA Winter Academic Conference, Las Vegas + Virtual Accommodations, February 18-20, 2022en_US
dcterms.issued2022-
dc.relation.conferenceAMA Winter Academic Conferenceen_US
dc.description.validate202301 bckwen_US
dc.description.oaNot applicableen_US
dc.identifier.FolderNumberMM-0001-
dc.description.fundingSourceSelf-fundeden_US
dc.identifier.OPUS60127899-
dc.description.oaCategoryCopyright retained by authoren_US
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