Estimating hierarchical constructs using consistent partial least squares

Detalhes bibliográficos
Autor(a) principal: Van Riel, Allard C.R.
Data de Publicação: 2017
Outros Autores: Henseler, Jörg, Kemény, Ildikó, Sasovova, Zuzana
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://doi.org/10.1108/IMDS-07-2016-0286
Resumo: Van Riel, A. C. R., Henseler, J., Kemény, I., & Sasovova, Z. (2017). Estimating hierarchical constructs using consistent partial least squares: The case of second-order composites of common factors. Industrial Management and Data Systems, 117(3), 459-477. https://doi.org/10.1108/IMDS-07-2016-0286
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spelling Estimating hierarchical constructs using consistent partial least squaresThe case of second-order composites of common factorsComposite of common factorsConsistencyGoodness-of-fitPLSSecond-order constructVariance-based structural equation modellingManagement Information SystemsIndustrial relationsComputer Science ApplicationsStrategy and ManagementIndustrial and Manufacturing EngineeringVan Riel, A. C. R., Henseler, J., Kemény, I., & Sasovova, Z. (2017). Estimating hierarchical constructs using consistent partial least squares: The case of second-order composites of common factors. Industrial Management and Data Systems, 117(3), 459-477. https://doi.org/10.1108/IMDS-07-2016-0286Purpose - Many important constructs of business and social sciences are conceptualized as composites of common factors, i.e. as second-order constructs composed of reflectively measured first-order constructs. Current approaches to model this type of second-order construct provide inconsistent estimates and lack a model test that helps assess the existence and/or usefulness of a second-order construct. The purpose of this paper is to present a novel three-stage approach to model, estimate, and test second-order constructs composed of reflectively measured first-order constructs. Design/methodology/approach - The authors compare the efficacy of the proposed three-stage approach with that of the dominant extant approaches, i.e. the repeated indicator approach, the two-stage approach, and the hybrid approach by means of simulated data whose underlying population model is known. Moreover, the authors apply the three-stage approach to a real research setting in business research. Findings - The study based on simulated data illustrates that the three-stage approach is Fisher-consistent, whereas the dominant extant approaches are not. The study based on real data shows that the three-stage approach is meaningfully applicable in typical research settings of business research. Its results can differ substantially from those of the extant approaches. Research limitations/implications - Analysts aiming at modeling composites of common factors should apply the proposed procedure in order to test the existence and/or usefulness of a second-order construct and to obtain consistent estimates. Originality/value - The three-stage approach is the only consistent approach for modeling, estimating, and testing composite second-order constructs made up of reflectively measured first-order constructs.NOVA Information Management School (NOVA IMS)Information Management Research Center (MagIC) - NOVA Information Management SchoolRUNVan Riel, Allard C.R.Henseler, JörgKemény, IldikóSasovova, Zuzana2017-12-28T23:10:35Z20172017-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article19application/pdfhttps://doi.org/10.1108/IMDS-07-2016-0286eng0263-5577PURE: 3324040http://www.scopus.com/inward/record.url?scp=85015302453&partnerID=8YFLogxKhttps://doi.org/10.1108/IMDS-07-2016-0286info: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:RCAAP2024-03-11T04:14:30Zoai:run.unl.pt:10362/27412Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:28:40.969634Repositório 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 hierarchical constructs using consistent partial least squares
The case of second-order composites of common factors
title Estimating hierarchical constructs using consistent partial least squares
spellingShingle Estimating hierarchical constructs using consistent partial least squares
Van Riel, Allard C.R.
Composite of common factors
Consistency
Goodness-of-fit
PLS
Second-order construct
Variance-based structural equation modelling
Management Information Systems
Industrial relations
Computer Science Applications
Strategy and Management
Industrial and Manufacturing Engineering
title_short Estimating hierarchical constructs using consistent partial least squares
title_full Estimating hierarchical constructs using consistent partial least squares
title_fullStr Estimating hierarchical constructs using consistent partial least squares
title_full_unstemmed Estimating hierarchical constructs using consistent partial least squares
title_sort Estimating hierarchical constructs using consistent partial least squares
author Van Riel, Allard C.R.
author_facet Van Riel, Allard C.R.
Henseler, Jörg
Kemény, Ildikó
Sasovova, Zuzana
author_role author
author2 Henseler, Jörg
Kemény, Ildikó
Sasovova, Zuzana
author2_role author
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 Van Riel, Allard C.R.
Henseler, Jörg
Kemény, Ildikó
Sasovova, Zuzana
dc.subject.por.fl_str_mv Composite of common factors
Consistency
Goodness-of-fit
PLS
Second-order construct
Variance-based structural equation modelling
Management Information Systems
Industrial relations
Computer Science Applications
Strategy and Management
Industrial and Manufacturing Engineering
topic Composite of common factors
Consistency
Goodness-of-fit
PLS
Second-order construct
Variance-based structural equation modelling
Management Information Systems
Industrial relations
Computer Science Applications
Strategy and Management
Industrial and Manufacturing Engineering
description Van Riel, A. C. R., Henseler, J., Kemény, I., & Sasovova, Z. (2017). Estimating hierarchical constructs using consistent partial least squares: The case of second-order composites of common factors. Industrial Management and Data Systems, 117(3), 459-477. https://doi.org/10.1108/IMDS-07-2016-0286
publishDate 2017
dc.date.none.fl_str_mv 2017-12-28T23:10:35Z
2017
2017-01-01T00:00:00Z
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 https://doi.org/10.1108/IMDS-07-2016-0286
url https://doi.org/10.1108/IMDS-07-2016-0286
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 0263-5577
PURE: 3324040
http://www.scopus.com/inward/record.url?scp=85015302453&partnerID=8YFLogxK
https://doi.org/10.1108/IMDS-07-2016-0286
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 19
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
repository.mail.fl_str_mv
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