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dc.contributor.authorBecker, Jan-Michael
dc.contributor.authorCheah, Jun-Hwa
dc.contributor.authorGholamzade, Rasoul
dc.contributor.authorRingle, Christian M.
dc.contributor.authorSarstedt, Marko
dc.date.accessioned2023-10-04T08:16:48Z
dc.date.available2023-10-04T08:16:48Z
dc.date.created2022-08-19T09:22:07Z
dc.date.issued2022
dc.identifier.citationInternational Journal of Contemporary Hospitality Management. 2022, .en_US
dc.identifier.issn0959-6119
dc.identifier.urihttps://hdl.handle.net/11250/3094029
dc.description.abstractPurpose – Partial least squares structural equation modeling (PLS-SEM) has attracted much attention from both methodological and applied researchers in various disciplines – also in hospitality management research. As PLS-SEM is relatively new compared to other multivariate analysis techniques, there are still numerous open questions and uncertainties in its application. This study aims to address this important issue by offering guidance regarding its use in contexts with which researchers struggle. Design/methodology/approach – The authors examine the most prominent questions and answers posed in a well-known PLS-SEM discussion forum. The authors do so by using a text analysis technique to identify the most salient topics. Findings – The data analysis identifies three salient PLS-SEM topics (i.e. bootstrapping and significance testing, higher-order constructs and moderation). Research limitations/implications – The results allow us to address the PLS-SEM community’s main methodological issues. The authors discuss each area separately and provide explanations and guidelines. Practical implications – The guidelines on the most important PLS-SEM topics provide decision-making and application aids. In this way, the authors make a decisive contribution to clarifying ambiguities when applying the PLS-SEM method in hospitality management research and other disciplines. Originality/value – There has as yet been no systematic analysis of this kind in the field of PLS-SEM; the authors, therefore, present the first research results. The findings and recommendations provide guidance for PLS-SEM applications in hospitality research and practice.en_US
dc.description.abstractPLS-SEM’s most wanted guidanceen_US
dc.language.isoengen_US
dc.publisherEmeralden_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no*
dc.subjectpartial least squaresen_US
dc.subjectstructural equation modelingen_US
dc.subjectPLS-SEMen_US
dc.subjectguidelinesen_US
dc.subjecttext analyticsen_US
dc.titlePLS-SEM’s most wanted guidanceen_US
dc.title.alternativePLS-SEM’s most wanted guidanceen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionacceptedVersionen_US
dc.rights.holderEmeralden_US
dc.source.pagenumber26en_US
dc.source.volume35en_US
dc.source.journalInternational Journal of Contemporary Hospitality Managementen_US
dc.source.issue1en_US
dc.identifier.doi10.1108/IJCHM-04-2022-0474
dc.identifier.cristin2044392
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode1


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Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal