Estimating hierarchical constructs using consistent partial least squares
Autor(a) principal: | |
---|---|
Data de Publicação: | 2017 |
Outros Autores: | , , |
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 |
id |
RCAP_0b530cb9f8692e28ef9a78ca55f8df1b |
---|---|
oai_identifier_str |
oai:run.unl.pt:10362/27412 |
network_acronym_str |
RCAP |
network_name_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository_id_str |
7160 |
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 |
|
_version_ |
1799137912686641152 |