Using partial least squares structural equation modeling in hospitality and tourism: Do researchers follow practical guidelines?

dc.authoridUsakli, Ahmet/0000-0002-7520-8629
dc.authoridKüçükergin, Kemal Gürkan/0000-0003-3761-4340
dc.authorscopusid36138895400
dc.authorscopusid55981934500
dc.authorwosidUsakli, Ahmet/D-3433-2017
dc.authorwosidKüçükergin, Kemal Gürkan/T-8314-2017
dc.contributor.authorKüçükergin, Kemal Gürkan
dc.contributor.authorKucukergin, Kemal Gurkan
dc.contributor.otherTourism Management
dc.date.accessioned2024-07-05T15:29:40Z
dc.date.available2024-07-05T15:29:40Z
dc.date.issued2018
dc.departmentAtılım Universityen_US
dc.department-temp[Usakli, Ahmet] Gazi Univ, Fac Tourism, Ankara, Turkey; [Kucukergin, Kemal Gurkan] Atilim Univ, Sch Business Adm, Ankara, Turkeyen_US
dc.descriptionUsakli, Ahmet/0000-0002-7520-8629; Küçükergin, Kemal Gürkan/0000-0003-3761-4340en_US
dc.description.abstractPurpose The purpose of this study is to review the use of partial least squares-structural equation modeling (PLS-SEM) in the field of hospitality and tourism and thereby to assess whether the PLS-SEM-based papers followed the recommended application guidelines and to investigate whether a comparison of journal types (hospitality vs tourism) and journal qualities (top-tier vs other leading) reveal significant differences in PLS-SEM use. Design/methodology/approach A total of 206 PLS-SEM based papers published between 2000 and April 2017 in the 19 SSCI-indexed hospitality and tourism journals were critically analyzed using a wide range of guidelines for the following aspects of PLS-SEM: the rationale of using the method, the data characteristics, the model characteristics, the model assessment and reporting the technical issues. Findings The results reveal that some aspects of PLS-SEM are correctly applied by researchers, but there are still some misapplications, especially regarding data characteristics, formative measurement model evaluation and structural model assessment. Furthermore, few significant differences were found on the use of PLS-SEM between the two fields (hospitality and tourism) and between the journal tiers (top-tier and other leading). Practical implications To enhance the quality of research in hospitality and tourism, the present study provides recommendations for improving the future use of PLS-SEM. Originality/value The present study fills a sizeable gap in hospitality and tourism literature and extends the previous assessments on the use of PLS-SEM by providing a wider perspective on the issue (i.e. includes both hospitality and tourism journals rather than the previous reviews that focus on either tourism or hospitality), using a larger sample size of 206 empirical studies, investigating the issue over a longer time period (from 2000 to April, 2017, including the in-press articles), extending the scope of criteria (guidelines) used in the review and comparing the PLS-SEM use between the two allied fields (hospitality and tourism) and between the journal tiers (top-tier and other leading).en_US
dc.identifier.citation151
dc.identifier.doi10.1108/IJCHM-11-2017-0753
dc.identifier.endpage3512en_US
dc.identifier.issn0959-6119
dc.identifier.issn1757-1049
dc.identifier.issue11en_US
dc.identifier.scopus2-s2.0-85054636113
dc.identifier.startpage3462en_US
dc.identifier.urihttps://doi.org/10.1108/IJCHM-11-2017-0753
dc.identifier.urihttps://hdl.handle.net/20.500.14411/2947
dc.identifier.volume30en_US
dc.identifier.wosWOS:000450642600017
dc.identifier.wosqualityQ1
dc.language.isoenen_US
dc.publisherEmerald Group Publishing Ltden_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectPartial least squaresen_US
dc.subjectPath modelingen_US
dc.subjectStructural equation modelingen_US
dc.titleUsing partial least squares structural equation modeling in hospitality and tourism: Do researchers follow practical guidelines?en_US
dc.typeArticleen_US
dspace.entity.typePublication
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