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An innovative maturity model to assess supply chain quality management

Catarina Cubo (ALGORITMI Research Centre, School of Engineering, University of Minho, Braga, Portugal)
Rui Oliveira (ALGORITMI Research Centre, School of Engineering, University of Minho, Braga, Portugal)
Ana Cristina Fernandes (ALGORITMI Research Centre, School of Engineering, University of Minho, Braga, Portugal)
Paulo Sampaio (ALGORITMI Research Centre, School of Engineering, University of Minho, Braga, Portugal)
Maria Sameiro Carvalho (ALGORITMI Research Centre, School of Engineering, University of Minho, Braga, Portugal)
Paulo Afonso (ALGORITMI Research Centre, School of Engineering, University of Minho, Braga, Portugal)

International Journal of Quality & Reliability Management

ISSN: 0265-671X

Article publication date: 25 October 2021

Issue publication date: 17 January 2023

689

Abstract

Purpose

This paper aims to present and discuss an innovative maturity model (MM) to assess supply chain quality management (SCQM). The SCQM MM can be used to guide organizations in the development and improvement of quality in their supply chains (SCs). Additionally, this paper intends to better understand that integration and its impacts on organizational performance.

Design/methodology/approach

The proposed MM was developed based on an exhaustive literature review of the most relevant MMs developed in the areas of quality management, supply chain management and other relevant domains.

Findings

The proposed MM consists of a matrix with 100 criteria organized in five organizational dimensions and five maturity levels, embracing the most relevant SC issues and describing a progressive path towards a state of full maturity.

Originality/value

It is an innovative tool useful for both academic experts and practitioners to integrate quality management across the SC, thus promoting and improving organizational performance from an integrated and sustainable perspective.

Keywords

Acknowledgements

This work has been supported by FCT – Fundação para a Ciência e Tecnologia within the R&D Units Project Scope: UIDB/00319/2020.

Citation

Cubo, C., Oliveira, R., Fernandes, A.C., Sampaio, P., Carvalho, M.S. and Afonso, P. (2023), "An innovative maturity model to assess supply chain quality management", International Journal of Quality & Reliability Management, Vol. 40 No. 1, pp. 103-123. https://doi.org/10.1108/IJQRM-06-2021-0184

Publisher

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Emerald Publishing Limited

Copyright © 2021, Emerald Publishing Limited

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