Multigroup Analysis in Information Systems Research using PLS-PM
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , |
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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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 |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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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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1799138103894474752 |