Key issues on Partial Least Squares (PLS) in operations management research: A guide to submissions

Purpose: This work aims to systematise the use of PLS as an analysis tool via a usage guide or recommendation for researchers to help them eliminate errors when using this tool. Design/methodology/approach: A recent literature review about PLS and discussion with experts in the methodology. Findings...

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Detalles Bibliográficos
Autores: Marin-Garcia, Juan A., Alfalla Luque, Rafaela
Tipo de recurso: artículo
Fecha de publicación:2019
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/175974
Acceso en línea:https://hdl.handle.net/2117/175974
Access Level:acceso abierto
Palabra clave:Variables (Mathematics)
PLS-SEM
Partial Least Squares
Operations Management
Reporting standards
Variables (Matemàtica)
Àrees temàtiques de la UPC::Matemàtiques i estadística
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spelling Key issues on Partial Least Squares (PLS) in operations management research: A guide to submissionsMarin-Garcia, Juan A.Alfalla Luque, RafaelaVariables (Mathematics)PLS-SEMPartial Least SquaresOperations ManagementReporting standardsVariables (Matemàtica)Àrees temàtiques de la UPC::Matemàtiques i estadísticaPurpose: This work aims to systematise the use of PLS as an analysis tool via a usage guide or recommendation for researchers to help them eliminate errors when using this tool. Design/methodology/approach: A recent literature review about PLS and discussion with experts in the methodology. Findings: This article considers the current situation of PLS after intense academic debate in recent years, and summarises recommendations to properly conduct and report a research work that uses this methodology in its analyses. We particularly focus on how to: choose the construct type; choose the estimation technique (PLS or CB-SEM); evaluate and report the measurement model; evaluate and report the structure model; analyse statistical power. Research limitations: it was impossible to cover some relevant aspects in considerable detail herein: presenting a guided example that respects all the report recommendations presented herein to act as a practical guide for authors; does the specification or evaluation of the measurement model differ when it deals with first-order or second-order constructs?; how are the outcomes of the constructs interpreted with the indicators being measured with nominal measurement levels?; is the Confirmatory Composite Analysis approach compatible with recent proposals about the Confirmatory Tetrad Analysis (CTA)? These themes will the object of later publications. Originality/value: We provide a check list of the information elements that must contain any article using PLS. Our intention is for the article to act as a guide for the researchers and possible authors who send works to the JIEM (Journal of Industrial and Engineering Management). This guide could be used by both editors and reviewers of JIEM, or other journals in this area, to evaluate and reduce the risk of bias (Losilla et al., 2018) in works using PLS as an analysis procedure.Peer ReviewedOmniaScience20192019-09-0120202020-01-28journal articlehttp://purl.org/coar/resource_type/c_6501NAhttp://purl.org/coar/version/c_be7fb7dd8ff6fe43info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/2117/175974reponame:UPCommons. Portal del coneixement obert de la UPCinstname:Universitat Politècnica de Catalunya (UPC)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Attribution-NonCommercial 3.0 Spainhttp://creativecommons.org/licenses/by-nc/3.0/es/info:eu-repo/semantics/openAccessoai:upcommons.upc.edu:2117/1759742026-05-27T15:37:01Z
dc.title.none.fl_str_mv Key issues on Partial Least Squares (PLS) in operations management research: A guide to submissions
title Key issues on Partial Least Squares (PLS) in operations management research: A guide to submissions
spellingShingle Key issues on Partial Least Squares (PLS) in operations management research: A guide to submissions
Marin-Garcia, Juan A.
Variables (Mathematics)
PLS-SEM
Partial Least Squares
Operations Management
Reporting standards
Variables (Matemàtica)
Àrees temàtiques de la UPC::Matemàtiques i estadística
title_short Key issues on Partial Least Squares (PLS) in operations management research: A guide to submissions
title_full Key issues on Partial Least Squares (PLS) in operations management research: A guide to submissions
title_fullStr Key issues on Partial Least Squares (PLS) in operations management research: A guide to submissions
title_full_unstemmed Key issues on Partial Least Squares (PLS) in operations management research: A guide to submissions
title_sort Key issues on Partial Least Squares (PLS) in operations management research: A guide to submissions
dc.creator.none.fl_str_mv Marin-Garcia, Juan A.
Alfalla Luque, Rafaela
author Marin-Garcia, Juan A.
author_facet Marin-Garcia, Juan A.
Alfalla Luque, Rafaela
author_role author
author2 Alfalla Luque, Rafaela
author2_role author
dc.subject.none.fl_str_mv Variables (Mathematics)
PLS-SEM
Partial Least Squares
Operations Management
Reporting standards
Variables (Matemàtica)
Àrees temàtiques de la UPC::Matemàtiques i estadística
topic Variables (Mathematics)
PLS-SEM
Partial Least Squares
Operations Management
Reporting standards
Variables (Matemàtica)
Àrees temàtiques de la UPC::Matemàtiques i estadística
description Purpose: This work aims to systematise the use of PLS as an analysis tool via a usage guide or recommendation for researchers to help them eliminate errors when using this tool. Design/methodology/approach: A recent literature review about PLS and discussion with experts in the methodology. Findings: This article considers the current situation of PLS after intense academic debate in recent years, and summarises recommendations to properly conduct and report a research work that uses this methodology in its analyses. We particularly focus on how to: choose the construct type; choose the estimation technique (PLS or CB-SEM); evaluate and report the measurement model; evaluate and report the structure model; analyse statistical power. Research limitations: it was impossible to cover some relevant aspects in considerable detail herein: presenting a guided example that respects all the report recommendations presented herein to act as a practical guide for authors; does the specification or evaluation of the measurement model differ when it deals with first-order or second-order constructs?; how are the outcomes of the constructs interpreted with the indicators being measured with nominal measurement levels?; is the Confirmatory Composite Analysis approach compatible with recent proposals about the Confirmatory Tetrad Analysis (CTA)? These themes will the object of later publications. Originality/value: We provide a check list of the information elements that must contain any article using PLS. Our intention is for the article to act as a guide for the researchers and possible authors who send works to the JIEM (Journal of Industrial and Engineering Management). This guide could be used by both editors and reviewers of JIEM, or other journals in this area, to evaluate and reduce the risk of bias (Losilla et al., 2018) in works using PLS as an analysis procedure.
publishDate 2019
dc.date.none.fl_str_mv 2019
2019-09-01
2020
2020-01-28
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
NA
http://purl.org/coar/version/c_be7fb7dd8ff6fe43
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/2117/175974
url https://hdl.handle.net/2117/175974
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial 3.0 Spain
http://creativecommons.org/licenses/by-nc/3.0/es/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial 3.0 Spain
http://creativecommons.org/licenses/by-nc/3.0/es/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv OmniaScience
publisher.none.fl_str_mv OmniaScience
dc.source.none.fl_str_mv reponame:UPCommons. Portal del coneixement obert de la UPC
instname:Universitat Politècnica de Catalunya (UPC)
instname_str Universitat Politècnica de Catalunya (UPC)
reponame_str UPCommons. Portal del coneixement obert de la UPC
collection UPCommons. Portal del coneixement obert de la UPC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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