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dc.contributor.authorIngenhoff, Diana
dc.contributor.authorBuhmann, Alexander
dc.date.accessioned2016-09-23T07:14:42Z
dc.date.available2016-09-23T07:14:42Z
dc.date.issued2016
dc.identifier.citationPublic Relations Review, 42(2016)3: 418-431nb_NO
dc.identifier.issn0363-8111
dc.identifier.issn18734537
dc.identifier.urihttp://hdl.handle.net/11250/2409987
dc.descriptionThis is the authors accepted and refereed manuscript to the article.nb_NO
dc.description.abstractThis paper aims to add to the growing discourse on methods in public relations research by showing how variance-based structural equation modeling (PLS-SEM) can be used to analyze effects between multiple intangible target constructs in PR. We introduce the properties of the method, compare it to conventional covariance-based SEM, and demonstrate how PLS-SEM can be applied to public relations evaluation using an example study on organizational reputation and its effects on trust, and stakeholder behavior (n = 1892). This paper offers a consequent methodological discussion of PLS-SEM and provides a valuable resource for public relations research aiming to apply the variance-based approach.nb_NO
dc.language.isoengnb_NO
dc.publisherElseviernb_NO
dc.titleAdvancing PR measurement and evaluation: demonstrating the properties and assessment of variance-based structural equation models using an example study on corporate reputationnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.source.pagenumber418-431nb_NO
dc.source.volume42nb_NO
dc.source.journalPublic Relations Reviewnb_NO
dc.source.issue3nb_NO
dc.identifier.doi10.1016/j.pubrev.2015.11.010
dc.description.localcode1,Forfatterversjonnb_NO


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