Estimating and assessing second-order constructs using PLS-PM

Detalhes bibliográficos
Autor(a) principal: Schuberth, Florian
Data de Publicação: 2020
Outros Autores: Rademaker, Manuel Elias, 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/10362/104253
Resumo: Schuberth, F., Rademaker, M. E., & Henseler, J. (2020). Estimating and assessing second-order constructs using PLS-PM: the case of composites of composites. Industrial Management and Data Systems, 120(12), 2211-2241. https://doi.org/10.1108/IMDS-12-2019-0642
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spelling Estimating and assessing second-order constructs using PLS-PMthe case of composites of compositesComposites of compositesMonte Carlo simulationOverall model fit assessmentPartial least squares path modelingSecond-order constructsUser guidelinesManagement Information SystemsIndustrial relationsComputer Science ApplicationsStrategy and ManagementIndustrial and Manufacturing EngineeringSchuberth, F., Rademaker, M. E., & Henseler, J. (2020). Estimating and assessing second-order constructs using PLS-PM: the case of composites of composites. Industrial Management and Data Systems, 120(12), 2211-2241. https://doi.org/10.1108/IMDS-12-2019-0642Purpose: The purpose of this study is threefold: (1) to propose partial least squares path modeling (PLS-PM) as a way to estimate models containing composites of composites and to compare the performance of the PLS-PM approaches in this context, (2) to provide and evaluate two testing procedures to assess the overall fit of such models and (3) to introduce user-friendly step-by-step guidelines. Design/methodology/approach: A simulation is conducted to examine the PLS-PM approaches and the performance of the two proposed testing procedures. Findings: The simulation results show that the two-stage approach, its combination with the repeated indicators approach and the extended repeated indicators approach perform similarly. However, only the former is Fisher consistent. Moreover, the simulation shows that guidelines neglecting model fit assessment miss an important opportunity to detect misspecified models. Finally, the results show that both testing procedures based on the two-stage approach allow for assessment of the model fit. Practical implications: Analysts who estimate and assess models containing composites of composites should use the authors’ guidelines, since the majority of existing guidelines neglect model fit assessment and thus omit a crucial step of structural equation modeling. Originality/value: This study contributes to the understanding of the discussed approaches. Moreover, it highlights the importance of overall model fit assessment and provides insights about testing the fit of models containing composites of composites. Based on these findings, step-by-step guidelines are introduced to estimate and assess models containing composites of composites.NOVA Information Management School (NOVA IMS)Information Management Research Center (MagIC) - NOVA Information Management SchoolRUNSchuberth, FlorianRademaker, Manuel EliasHenseler, Jörg2020-09-17T22:44:49Z2020-122020-12-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article31application/pdfhttp://hdl.handle.net/10362/104253eng0263-5577PURE: 19882128https://doi.org/10.1108/IMDS-12-2019-0642info: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:RCAAP2024-03-11T04:49:46Zoai:run.unl.pt:10362/104253Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:40:10.733934Repositório 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 Estimating and assessing second-order constructs using PLS-PM
the case of composites of composites
title Estimating and assessing second-order constructs using PLS-PM
spellingShingle Estimating and assessing second-order constructs using PLS-PM
Schuberth, Florian
Composites of composites
Monte Carlo simulation
Overall model fit assessment
Partial least squares path modeling
Second-order constructs
User guidelines
Management Information Systems
Industrial relations
Computer Science Applications
Strategy and Management
Industrial and Manufacturing Engineering
title_short Estimating and assessing second-order constructs using PLS-PM
title_full Estimating and assessing second-order constructs using PLS-PM
title_fullStr Estimating and assessing second-order constructs using PLS-PM
title_full_unstemmed Estimating and assessing second-order constructs using PLS-PM
title_sort Estimating and assessing second-order constructs using PLS-PM
author Schuberth, Florian
author_facet Schuberth, Florian
Rademaker, Manuel Elias
Henseler, Jörg
author_role author
author2 Rademaker, Manuel Elias
Henseler, Jörg
author2_role author
author
dc.contributor.none.fl_str_mv NOVA Information Management School (NOVA IMS)
Information Management Research Center (MagIC) - NOVA Information Management School
RUN
dc.contributor.author.fl_str_mv Schuberth, Florian
Rademaker, Manuel Elias
Henseler, Jörg
dc.subject.por.fl_str_mv Composites of composites
Monte Carlo simulation
Overall model fit assessment
Partial least squares path modeling
Second-order constructs
User guidelines
Management Information Systems
Industrial relations
Computer Science Applications
Strategy and Management
Industrial and Manufacturing Engineering
topic Composites of composites
Monte Carlo simulation
Overall model fit assessment
Partial least squares path modeling
Second-order constructs
User guidelines
Management Information Systems
Industrial relations
Computer Science Applications
Strategy and Management
Industrial and Manufacturing Engineering
description Schuberth, F., Rademaker, M. E., & Henseler, J. (2020). Estimating and assessing second-order constructs using PLS-PM: the case of composites of composites. Industrial Management and Data Systems, 120(12), 2211-2241. https://doi.org/10.1108/IMDS-12-2019-0642
publishDate 2020
dc.date.none.fl_str_mv 2020-09-17T22:44:49Z
2020-12
2020-12-01T00:00:00Z
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/10362/104253
url http://hdl.handle.net/10362/104253
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 0263-5577
PURE: 19882128
https://doi.org/10.1108/IMDS-12-2019-0642
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 31
application/pdf
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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
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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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