Calvo de Mora Schmidt, ArturoMedina Molina, CayetanoGalrito Bento Teles Rico, Joao Pedro2025-02-272025-02-272024-11-05Galrito Bento Teles Rico, J.P. (2024). Quality Management in the Context of Industry 4.0: Necessary and Sufficient Readiness Factors. (Tesis Doctoral Inédita). Universidad de Sevilla, Sevilla.https://hdl.handle.net/11441/169498Industry 4.0 has led to a new area of research known as Quality 4.0 (Q4. 0) focusing on the future of quality management. This study aims to present the "state of the art" regarding the concepts of Quantity 4.0 and Industry 4.0, presenting a quantitative investigation within the scope of Industry 4.0 and which has been applied to business management. It also intends to examine the social and strategic factors necessary for the implementation of Q4. 0, called "readiness factors". It is also considered a research objective to be achieved, the presentation and development of the present concepts, namely: (1) Industry 4.0, (2) Quantity 4.0 and (3) Readiness Factors. 6 hypotheses will be proposed to be tested that constitute a readiness model for the implementation of Quality 4.0. To this end, the methodology used includes the Partial Least Squares Structural Equation Modeling (PLS-SEM) technique to estimate sufficient conditions, Necessary Conditions Analysis (NCA) to identify the necessary causality and Generalized Analytical Induction (GAI) to identify the combination of conditions that lead to a result. To help analyze and interpret the research results, this study uses, in addition to the previously mentioned techniques, also the technique of Qualitative Comparative Analysis (QCA) to identify both necessary and sufficient conditions in contrast, for example, with the use of the Partial Least Squares Structural Equations Modeling (PLS-SEM) technique, insofar as the first one analyzes and interprets the conditions/hypotheses in an aggregated logic, establishing conditions between them, while the second one proposes to analyze only in an individual logic the principle of causality. This makes it possible to bring to the investigation a holistic interpretation of the various possible results, to the conditions/hypotheses presented, making this investigation more comprehensive. Therefore, the study analyzed 107 Spanish organizations recognized for their excellence by EFQM, from a 407 total EFQM Spanish organizations population. The results show that top management leadership and commitment, Q4.0 vision and strategy, human resource management for Q4.0, organizational culture and customer preparedness significantly affect an organisation's readiness. to implement Q4.0. These factors represent sufficient conditions. Furthermore, the study concluded that Q4.0 vision, strategy, and supplier readiness are necessary for Q4 implementation. The vision and strategy factor of Q4.0 is crucial for an organisation's readiness to implement Q4.0. Increasing this factor will enhance the organization's Q4.0 readiness, and a certain level of this factor is essential to be ready to implement Q4.0.Finally, the GAI demonstrates that two conditions, both social and strategic factors, are widely shared by organisations to explain a high value of Q4.0 readiness. The QCA technique will be used to draw various combinations of results and conclusions by combining different conditions. For example, "Supplier Readiness (SR)" is not only a necessary condition for Readiness Quality (RQ) but also a sufficient condition, as it appears in three RQ conditions, always in conjunction with social factors, forming part of two ~RQ conditions. Therefore, it can be stated that Supplier Readiness (SR) is not significant for PLS-SEM when analyzed individually, but it is significant for QCA when analyzed in combination with other factors. It can also be inferred that Vision strategy (VS) and SR behave inversely to each other. The conclusions of the study will advance knowledge in the area of Q4.0. Specifically, they will contribute to a better understanding of Q4.0 readiness factors and how they can be used to assess an organization's preparedness for Q4.0 implementation and assess its level of development or maturity. Additionally, they can help managers and quality professionals distinguish between necessary, sufficient, and necessary and sufficient readiness factors.application/pdf213 p.engAttribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/doctoralThesisinfo:eu-repo/semantics/openAccess