Using confirmatory composite analysis to assess emergent variables in business research

Detalhes bibliográficos
Autor(a) principal: Henseler, Jörg
Data de Publicação: 2020
Outros Autores: Schuberth, Florian
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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spelling 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
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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
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