Using confirmatory composite analysis to assess emergent variables in business research
Autor(a) principal: | |
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Data de Publicação: | 2020 |
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/10362/103667 |
Resumo: | Henseler, J., & Schuberth, F. (2020). Using confirmatory composite analysis to assess emergent variables in business research. Journal of Business Research, 120, 147-156. https://doi.org/10.1016/j.jbusres.2020.07.026 |
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Using confirmatory composite analysis to assess emergent variables in business researchCCAComposite modelConfirmatory composite analysisCovariance structure analysisEmergent variablesStructural equation modelingMarketingHenseler, J., & Schuberth, F. (2020). Using confirmatory composite analysis to assess emergent variables in business research. Journal of Business Research, 120, 147-156. https://doi.org/10.1016/j.jbusres.2020.07.026Confirmatory composite analysis (CCA) was invented by Jörg Henseler and Theo K. Dijkstra in 2014 and elaborated by Schuberth et al. (2018b) as an innovative set of procedures for specifying and assessing composite models. Composite models consist of two or more interrelated constructs, all of which emerge as linear combinations of extant variables, hence the term ‘emergent variables’. In a recent JBR paper, Hair et al. (2020) mistook CCA for the measurement model evaluation step of partial least squares structural equation modeling. In order to clear up potential confusion among JBR readers, the paper at hand explains CCA as it was originally developed, including its key steps: model specification, identification, estimation, and assessment. Moreover, it illustrates the use of CCA by means of an empirical study on business value of information technology. A final discussion aims to help analysts in business research to decide which type of covariance structure analysis to use.NOVA Information Management School (NOVA IMS)Information Management Research Center (MagIC) - NOVA Information Management SchoolRUNHenseler, JörgSchuberth, Florian2020-09-07T23:24:14Z2020-08-112020-08-11T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article10application/pdfhttp://hdl.handle.net/10362/103667eng0148-2963PURE: 19728432https://doi.org/10.1016/j.jbusres.2020.07.026info: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:RCAAP2024-03-11T04:49:15Zoai:run.unl.pt:10362/103667Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:40:00.040747Repositório 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 |
Using confirmatory composite analysis to assess emergent variables in business research |
title |
Using confirmatory composite analysis to assess emergent variables in business research |
spellingShingle |
Using confirmatory composite analysis to assess emergent variables in business research Henseler, Jörg CCA Composite model Confirmatory composite analysis Covariance structure analysis Emergent variables Structural equation modeling Marketing |
title_short |
Using confirmatory composite analysis to assess emergent variables in business research |
title_full |
Using confirmatory composite analysis to assess emergent variables in business research |
title_fullStr |
Using confirmatory composite analysis to assess emergent variables in business research |
title_full_unstemmed |
Using confirmatory composite analysis to assess emergent variables in business research |
title_sort |
Using confirmatory composite analysis to assess emergent variables in business research |
author |
Henseler, Jörg |
author_facet |
Henseler, Jörg Schuberth, Florian |
author_role |
author |
author2 |
Schuberth, Florian |
author2_role |
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 |
Henseler, Jörg Schuberth, Florian |
dc.subject.por.fl_str_mv |
CCA Composite model Confirmatory composite analysis Covariance structure analysis Emergent variables Structural equation modeling Marketing |
topic |
CCA Composite model Confirmatory composite analysis Covariance structure analysis Emergent variables Structural equation modeling Marketing |
description |
Henseler, J., & Schuberth, F. (2020). Using confirmatory composite analysis to assess emergent variables in business research. Journal of Business Research, 120, 147-156. https://doi.org/10.1016/j.jbusres.2020.07.026 |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-09-07T23:24:14Z 2020-08-11 2020-08-11T00:00:00Z |
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/10362/103667 |
url |
http://hdl.handle.net/10362/103667 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
0148-2963 PURE: 19728432 https://doi.org/10.1016/j.jbusres.2020.07.026 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
10 application/pdf |
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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 |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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1799138015887491072 |