Title: Proposal of a causal model to measure the impact of quality on industrial performance: a case study from Moroccan context

Authors: Mohamed Ben Ali; Said Rifai; Said Barrijal; Otmane Bouksour

Addresses: Higher National School of Electricity and Mechanics, Hassan II University, Casablanca, Morocco ' Department of Mechanical Engineering, High School of Technology, Hassan II University, Casablanca, Morocco ' Department of Biology, Faculty of Sciences and Technologies (FST), Abdelmalek Essaadi University, Tangier, Morocco ' Department of Mechanical Engineering, High School of Technology, Hassan II University, Casablanca, Morocco

Abstract: This article aims to measure the impact of quality practices on the overall performance of the young manufacturing enterprises located in the Province of Tangier (Morocco). Based on an empirical study via questionnaires administered to the owner-managers and using structural modelling with latent variable via the Xl-Stat software (2015 Version) on a sample of 80 young enterprises, we concluded that, generally, quality practices positively impact the overall performance. However, an invalid link was detected between 'human resources' and 'management process'. Also a weak association was noted on the level of quality practices 'partnerships and resources' and 'management process'. It should be noted that these two practices 'human resources' and 'partnerships and resources' had weak indirect impact on the different perspectives of overall performance. Indeed, to further improve the overall performance, the owner-managers of such enterprises must seek constant improvement of quality practices especially those that have weak associations: human resources and partnerships.

Keywords: industrial performance; modelling; partial least square; PLS; quality practices; young enterprises.

DOI: 10.1504/IJPQM.2020.107826

International Journal of Productivity and Quality Management, 2020 Vol.30 No.2, pp.143 - 167

Received: 05 Sep 2018
Accepted: 13 Jan 2019

Published online: 17 Jun 2020 *

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