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Partial least squares (PLS) in Operations Management research: Insights from a systematic literature review

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Partial least squares (PLS) in Operations Management research: Insights from a systematic literature review

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dc.contributor.author Bayonne, Enrique es_ES
dc.contributor.author Marin-Garcia, Juan A. es_ES
dc.contributor.author Alfalla-Luque, Rafaela es_ES
dc.date.accessioned 2021-07-27T03:37:45Z
dc.date.available 2021-07-27T03:37:45Z
dc.date.issued 2020 es_ES
dc.identifier.issn 2013-0953 es_ES
dc.identifier.uri http://hdl.handle.net/10251/170277
dc.description.abstract [EN] Purpose: The present paper aims to analyze the Operations Management (OM) research between 2014 and 2018 that has made use of Partial Least Squares (PLS) to determine whether the trends shown in previous literature reviews focused on this topic are maintained and whether the analyzed papers comply with the recommendations for reporting Design/methodology/approach: A systematic literature review has been carried out of OM articles that use PLS as an analysis tool. A total of 102 references from 45 journals from 2014 to 2018, published in WOS and Scopus, has been analyzed. Bibliometric analysis and a review of the PLS reporting standards applied in the context of OM have been developed. Findings: PLS is gaining importance and is widely adopted in OM as a statistical analysis method of choice. In general, certain aspects of PLS are correctly applied and adequately reported in the publications. However, some shortcomings continue to be observed in terms of their application and the reporting of results. A detailed comparison has been developed between the current research and previous OM research (as well as previous research on other disciplines) on this topic. Research limitations/implications: OM researchers making use of PLS should be aware of the importance of correctly reasoning and justifying their choice and fully reporting the main parameters in order to provide other researchers with useful information and enable them to reproduce the performed analysis. Originality/value: This article builds a study with results based on a greater number of articles and journals than the two previous literature reviews focused on this topic. Therefore, it provides a richer and more up-to-date evaluation of trends in the use and reporting of PLS. Additionally, the present paper assesses whether the studies follow the indications suggested in recent years triggered by significant changes in the standards of reporting results obtained through the use of PLS. es_ES
dc.description.sponsorship This study has been conducted within the frameworks of the following funded competitive projects: PID2019-105001GB-I00 (Ministerio de Ciencia e Innovacion, Spain); 1381039 (Programa Operativo Feder Andalucia 2014/2020, Junta de Andalucia) and PY20_01209 (PAIDI 2020, Junta de Andalucia). es_ES
dc.language Inglés es_ES
dc.publisher Omnia Publisher SL es_ES
dc.relation.ispartof Journal of Industrial Engineering and Management es_ES
dc.rights Reconocimiento - No comercial (by-nc) es_ES
dc.subject PLS es_ES
dc.subject SEM es_ES
dc.subject PLS-SEM es_ES
dc.subject Systematic literature review es_ES
dc.subject OM es_ES
dc.subject Operations management es_ES
dc.subject.classification ORGANIZACION DE EMPRESAS es_ES
dc.title Partial least squares (PLS) in Operations Management research: Insights from a systematic literature review es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.3926/jiem.3416 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-105001GB-I00/ES/HIGH PERFORMANCE MANUFACTURING E INDUSTRIA 4.0 EN UN ENTORNO GLOBAL/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/Junta de Andalucía//1381039/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/Junta de Andalucía//PY20_01209/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Organización de Empresas - Departament d'Organització d'Empreses es_ES
dc.contributor.affiliation Universitat Politècnica de València. Instituto de Instrumentación para Imagen Molecular - Institut d'Instrumentació per a Imatge Molecular es_ES
dc.description.bibliographicCitation Bayonne, E.; Marin-Garcia, JA.; Alfalla-Luque, R. (2020). Partial least squares (PLS) in Operations Management research: Insights from a systematic literature review. Journal of Industrial Engineering and Management. 13(3):565-597. https://doi.org/10.3926/jiem.3416 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.3926/jiem.3416 es_ES
dc.description.upvformatpinicio 565 es_ES
dc.description.upvformatpfin 597 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 13 es_ES
dc.description.issue 3 es_ES
dc.relation.pasarela S\424119 es_ES
dc.contributor.funder Junta de Andalucía es_ES
dc.contributor.funder Agencia Estatal de Investigación es_ES


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