dc.contributor.author | Ingenhoff, Diana | |
dc.contributor.author | Buhmann, Alexander | |
dc.date.accessioned | 2016-09-23T07:14:42Z | |
dc.date.available | 2016-09-23T07:14:42Z | |
dc.date.issued | 2016 | |
dc.identifier.citation | Public Relations Review, 42(2016)3: 418-431 | nb_NO |
dc.identifier.issn | 0363-8111 | |
dc.identifier.issn | 18734537 | |
dc.identifier.uri | http://hdl.handle.net/11250/2409987 | |
dc.description | This is the authors accepted and refereed manuscript to the article. | nb_NO |
dc.description.abstract | This 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.iso | eng | nb_NO |
dc.publisher | Elsevier | nb_NO |
dc.title | Advancing PR measurement and evaluation: demonstrating the properties and assessment of variance-based structural equation models using an example study on corporate reputation | nb_NO |
dc.type | Journal article | nb_NO |
dc.type | Peer reviewed | nb_NO |
dc.source.pagenumber | 418-431 | nb_NO |
dc.source.volume | 42 | nb_NO |
dc.source.journal | Public Relations Review | nb_NO |
dc.source.issue | 3 | nb_NO |
dc.identifier.doi | 10.1016/j.pubrev.2015.11.010 | |
dc.description.localcode | 1,Forfatterversjon | nb_NO |