MANUFACTURING AND CONTINUOUS IMPROVEMENT AREAS USING PARTIAL LEAST SQUARE PATH MODELING WITH MULTIPLE REGRESSION COMPARISON

Carlos Monge Perry (), Jesús Cruz Álvarez () and Jesús Fabián López ()
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Carlos Monge Perry: Universidad Autónoma de Nuevo Léon (UANL), Mexico
Jesús Cruz Álvarez: Universidad Autónoma de Nuevo Léon (UANL), Mexico
Jesús Fabián López: Universidad Autónoma de Nuevo Léon (UANL), Mexico

CBU International Conference Proceedings, 2014, vol. 2, issue 0, 15-26

Abstract: Structural equation modeling (SEM) has traditionally been deployed in areas of marketing, consumer satisfaction and preferences, human behavior, and recently in strategic planning. These areas are considered their niches; however, there is a remarkable tendency in empirical research studies that indicate a more diversified use of the technique. This paper shows the application of structural equation modeling using partial least square (PLS-SEM), in areas of manufacturing, quality, continuous improvement, operational efficiency, and environmental responsibility in Mexico’s medium and large manufacturing plants, while using a small sample (n = 40). The results obtained from the PLS-SEM model application mentioned, are highly positive, relevant, and statistically significant. Also shown in this paper, for purposes of validity, reliability, and statistical power confirmation of PLS-SEM, is a comparative analysis against multiple regression showing very similar results to those obtained by PLS-SEM. This fact validates the use of PLS-SEM in areas of untraditional scientific research, and suggests and invites the use of the technique in diversified fields of the scientific research

Keywords: structural equations modelingmultiple partial least squares; PLS; SEM (search for similar items in EconPapers)
JEL-codes: C12 C18 C39 (search for similar items in EconPapers)
Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:aad:iseicj:v:2:y:2014:i:0:p:15-26

DOI: 10.12955/cbup.v2.442

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