Abstract
Nowadays, supply chain performance is measured since it is essential in globalized companies as maquiladoras. They import all raw material and import and export all final products, with high information, material, and money flow, having complex networks. This article reports findings from a structural equation model integrating four latent variables: Decision synchronization, Goal congruence, and Information sharing as independent variables, and Supply chain performance as the dependent variable related through six hypotheses to know their relationship. Hypotheses were tested using information from 143 responses to a questionnaire applied to the maquiladora industry in northern Mexico. The structural equation model is evaluated using the partial least squares (PLS) method integrated into WarpPLS 6.0 software. Findings indicate that five hypotheses are statistically significant, and it is concluded that Goal congruence, Information sharing, and Decision synchronization directly affect supply chain performance. The most critical variable to guarantee it is Goal congruence among partners.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
