Relationship between quality management practices, performance and maturity quality management, a contingency approach

Abstract

Quality Management is a key element in the organization that allows for the improvement of operational performance, product quality and organizational performance. Likewise, evidence concluding that not all implementations of quality management system generate positive effects has been found, so it is necessary to introduce contingent variables in the studies that allow an understanding of the different situations that can define which variables are more relevant according to the studied contingency. In this sense Sfreddo et al. (2018) and Sousa and Voss (2002) propose to include the variable of quality maturity level as a contingency variable in order to determine which Quality Management practices (QM practices) are more relevant according to the level of maturity of the organizations, an issue that has been the basis for the development of other models of maturity in other fields of management. The result has demonstrated that the effects of benefits in the operative performance are presented in the levels of high maturity, in changes in the levels below these do not present a significant relation. This will allow the development of the basis for the elaboration of a quality management maturity model.

Keywords:

• Maturity
• operational performance
• quality management
• quality management practices

Additional information

Notes on contributors

Luis Alfredo Negron

Luis Alfredo Negron is a senior lecturer in quality, business analytics, and operations management in CENTRUM Catolica Graduate Business School –Pontificia Universidad Catolica del Peru. He has extensive practical experience in the private sector in manager position and consulting services. His academic qualifications are a bachelor’s degree in industrial engineer, a master’s degree in business management, a master’s degree in philosophy (Maastricht School of Management) and a doctorate in business management conferred by Pontificia Universidad Catolica del Peru. Negron is a Senior member of ASQ and holds CQE and CSSBB certifications. His research interests include quality management, quality 4.0, six sigma, intelligence artificial and machine learning.