Testing moderating effects in PLS path models with composite variables

Detalhes bibliográficos
Autor(a) principal: Fassott, Georg
Data de Publicação: 2016
Outros Autores: Henseler, Jörg, Coelho, Pedro Simões
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-06-2016-0248
Resumo: Fassott, G., Henseler, J., & Coelho, P. S. (2016). Testing moderating effects in PLS path models with composite variables. Industrial Management & Data Systems, 116(9), 1887-1900. https://doi.org/10.1108/IMDS-06-2016-0248
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spelling Testing moderating effects in PLS path models with composite variablesComposite measurementModerationPartial least squaresManagement Information SystemsIndustrial relationsComputer Science ApplicationsStrategy and ManagementIndustrial and Manufacturing EngineeringFassott, G., Henseler, J., & Coelho, P. S. (2016). Testing moderating effects in PLS path models with composite variables. Industrial Management & Data Systems, 116(9), 1887-1900. https://doi.org/10.1108/IMDS-06-2016-0248Purpose - The purpose of this paper is to explain how to model moderating effects of composites using partial least squares (PLS) path modeling. It provides the methodological underpinning of moderating effects in general and describes the various approaches for forming the interaction term, i.e., the product indicator approach, the two-stage approach, and orthogonalization. Design/methodology/approach - The paper discusses the use of standardized vs unstandardized construct scores and introduces spotlight analysis as a useful way to report findings. Findings - Researchers should rely on unstandardized estimates when analyzing moderating effects. Centering or orthogonalization can help improve the interpretability of path coefficients. Practical implications - PLS software implementations should facilitate unstandardized estimates. Originality/value - This paper formulates step by step guidelines for analyzing moderating effects of composites using PLS path modeling. It is the first to propose spotlight analysis for PLS path modeling.NOVA Information Management School (NOVA IMS)Information Management Research Center (MagIC) - NOVA Information Management SchoolRUNFassott, GeorgHenseler, JörgCoelho, Pedro Simões2019-08-05T22:16:24Z20162016-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article14application/pdfhttps://doi.org/10.1108/IMDS-06-2016-0248eng0263-5577PURE: 2527948http://www.scopus.com/inward/record.url?scp=84992332840&partnerID=8YFLogxKhttps://doi.org/10.1108/IMDS-06-2016-0248info: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:RCAAP2024-03-11T04:35:09Zoai:run.unl.pt:10362/77555Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:35:45.936030Repositório 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 Testing moderating effects in PLS path models with composite variables
title Testing moderating effects in PLS path models with composite variables
spellingShingle Testing moderating effects in PLS path models with composite variables
Fassott, Georg
Composite measurement
Moderation
Partial least squares
Management Information Systems
Industrial relations
Computer Science Applications
Strategy and Management
Industrial and Manufacturing Engineering
title_short Testing moderating effects in PLS path models with composite variables
title_full Testing moderating effects in PLS path models with composite variables
title_fullStr Testing moderating effects in PLS path models with composite variables
title_full_unstemmed Testing moderating effects in PLS path models with composite variables
title_sort Testing moderating effects in PLS path models with composite variables
author Fassott, Georg
author_facet Fassott, Georg
Henseler, Jörg
Coelho, Pedro Simões
author_role author
author2 Henseler, Jörg
Coelho, Pedro Simões
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 Fassott, Georg
Henseler, Jörg
Coelho, Pedro Simões
dc.subject.por.fl_str_mv Composite measurement
Moderation
Partial least squares
Management Information Systems
Industrial relations
Computer Science Applications
Strategy and Management
Industrial and Manufacturing Engineering
topic Composite measurement
Moderation
Partial least squares
Management Information Systems
Industrial relations
Computer Science Applications
Strategy and Management
Industrial and Manufacturing Engineering
description Fassott, G., Henseler, J., & Coelho, P. S. (2016). Testing moderating effects in PLS path models with composite variables. Industrial Management & Data Systems, 116(9), 1887-1900. https://doi.org/10.1108/IMDS-06-2016-0248
publishDate 2016
dc.date.none.fl_str_mv 2016
2016-01-01T00:00:00Z
2019-08-05T22:16:24Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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status_str publishedVersion
dc.identifier.uri.fl_str_mv https://doi.org/10.1108/IMDS-06-2016-0248
url https://doi.org/10.1108/IMDS-06-2016-0248
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 0263-5577
PURE: 2527948
http://www.scopus.com/inward/record.url?scp=84992332840&partnerID=8YFLogxK
https://doi.org/10.1108/IMDS-06-2016-0248
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dc.format.none.fl_str_mv 14
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