Multigroup Analysis in Information Systems Research using PLS-PM

Detalhes bibliográficos
Autor(a) principal: Klesel, Michael
Data de Publicação: 2022
Outros Autores: Schuberth, Florian, Niehaves, Björn, Henseler, Jörg
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/143278
Resumo: Klesel, M., Schuberth, F., Niehaves, B., & Henseler, J. (2022). Multigroup Analysis in Information Systems Research using PLS-PM. Data Base for Advances in Information Systems - ACM SIGMIS Database: the DATABASE for Advances in Information Systems, 53(3), 26-48. https://doi.org/10.1145/3551783.3551787 ---------Funding Information: Jörg Henseler gratefully acknowledges financial support from FCT Fundação para a Ciência e a Tecnologia (Portugal), national funding through research grant Information Management Research Center – MagIC/NOVA IMS (UIDB/04152/2020). Moreover, he acknowledges a financial interest in ADANCO and its distributor, Composite Modeling.
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spelling Multigroup Analysis in Information Systems Research using PLS-PMdistance-based permutation testmonte carlo simulationmultigroup analysisomnibus test of group differences (otg)partial least squares path modelingManagement Information SystemsComputer Networks and CommunicationsKlesel, M., Schuberth, F., Niehaves, B., & Henseler, J. (2022). Multigroup Analysis in Information Systems Research using PLS-PM. Data Base for Advances in Information Systems - ACM SIGMIS Database: the DATABASE for Advances in Information Systems, 53(3), 26-48. https://doi.org/10.1145/3551783.3551787 ---------Funding Information: Jörg Henseler gratefully acknowledges financial support from FCT Fundação para a Ciência e a Tecnologia (Portugal), national funding through research grant Information Management Research Center – MagIC/NOVA IMS (UIDB/04152/2020). Moreover, he acknowledges a financial interest in ADANCO and its distributor, Composite Modeling.Heterogeneity is a pertinent issue in Information Systems (IS) research because human behavior often differs across groups. In the partial least squares path modeling (PLS-PM) context, several approaches have been proposed to investigate potential group differences. Despite the availability of numerous approaches, literature that compares their efficacy is sparse. Consequently, IS researchers lack guidance on which approach is best suited to detect group differences. We address this issue by presenting the results of an extensive Monte Carlo simulation study that juxtaposes the various approaches' behavior under numerous conditions. In doing so, we first provide an overview on existing approaches proposed for multigroup analysis (MGA) in the PLS-PM context. Moreover, we derive important implications for applied research: Firstly, we show that the omnibus test of group differences (OTG) and approaches based on the comparison of confidence intervals are not recommendable for MGA. Secondly, we provide detailed information as to which approaches are suitable for comparing one specific path coefficient and which are recommended if the complete structural model is compared across groups. Finally, we show that approaches which are designed to compare a single parameter require an adjustment for multiple comparisons when used to compare more than two groups.Information Management Research Center (MagIC) - NOVA Information Management SchoolNOVA Information Management School (NOVA IMS)RUNKlesel, MichaelSchuberth, FlorianNiehaves, BjörnHenseler, Jörg2022-08-24T22:18:42Z2022-08-012022-08-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article23application/pdfhttp://hdl.handle.net/10362/143278eng0095-0033PURE: 46126719https://doi.org/10.1145/3551783.3551787info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T05:21:34Zoai:run.unl.pt:10362/143278Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:50:48.391606Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Multigroup Analysis in Information Systems Research using PLS-PM
title Multigroup Analysis in Information Systems Research using PLS-PM
spellingShingle Multigroup Analysis in Information Systems Research using PLS-PM
Klesel, Michael
distance-based permutation test
monte carlo simulation
multigroup analysis
omnibus test of group differences (otg)
partial least squares path modeling
Management Information Systems
Computer Networks and Communications
title_short Multigroup Analysis in Information Systems Research using PLS-PM
title_full Multigroup Analysis in Information Systems Research using PLS-PM
title_fullStr Multigroup Analysis in Information Systems Research using PLS-PM
title_full_unstemmed Multigroup Analysis in Information Systems Research using PLS-PM
title_sort Multigroup Analysis in Information Systems Research using PLS-PM
author Klesel, Michael
author_facet Klesel, Michael
Schuberth, Florian
Niehaves, Björn
Henseler, Jörg
author_role author
author2 Schuberth, Florian
Niehaves, Björn
Henseler, Jörg
author2_role author
author
author
dc.contributor.none.fl_str_mv Information Management Research Center (MagIC) - NOVA Information Management School
NOVA Information Management School (NOVA IMS)
RUN
dc.contributor.author.fl_str_mv Klesel, Michael
Schuberth, Florian
Niehaves, Björn
Henseler, Jörg
dc.subject.por.fl_str_mv distance-based permutation test
monte carlo simulation
multigroup analysis
omnibus test of group differences (otg)
partial least squares path modeling
Management Information Systems
Computer Networks and Communications
topic distance-based permutation test
monte carlo simulation
multigroup analysis
omnibus test of group differences (otg)
partial least squares path modeling
Management Information Systems
Computer Networks and Communications
description Klesel, M., Schuberth, F., Niehaves, B., & Henseler, J. (2022). Multigroup Analysis in Information Systems Research using PLS-PM. Data Base for Advances in Information Systems - ACM SIGMIS Database: the DATABASE for Advances in Information Systems, 53(3), 26-48. https://doi.org/10.1145/3551783.3551787 ---------Funding Information: Jörg Henseler gratefully acknowledges financial support from FCT Fundação para a Ciência e a Tecnologia (Portugal), national funding through research grant Information Management Research Center – MagIC/NOVA IMS (UIDB/04152/2020). Moreover, he acknowledges a financial interest in ADANCO and its distributor, Composite Modeling.
publishDate 2022
dc.date.none.fl_str_mv 2022-08-24T22:18:42Z
2022-08-01
2022-08-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/143278
url http://hdl.handle.net/10362/143278
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 0095-0033
PURE: 46126719
https://doi.org/10.1145/3551783.3551787
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 23
application/pdf
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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