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The purpose of this paper is to examine the moderating role of Industry 4.0 technologies on the relationship between lean production (LP) and operational performance improvement within Brazil, a developing economy context.

One representative from each of the 147 studied manufacturing companies filled in a survey on three internally related lean practice bundles and two Industry 4.0 technology bundles, with safety, delivery, quality, productivity and inventory as performance indicators. As this study was grounded on the contingency theory, multivariate data analyses were performed, controlling for four contingencies.

Industry 4.0 moderates the effect of LP practices on operational performance improvement, but in different directions. Process-related technologies negatively moderate the effect of low setup practices on performance, whereas product/service-related technologies positively moderate the effect of flow practices on performance.

With the advent of Industry 4.0, companies have been channelling their efforts to achieve superior performance by advancing levels of automation and interconnectivity. Eventually, widespread and proven manufacturing approaches, like LP, will integrate such technologies which may, in turn, impair or favour operational performance. Contrary to previous studies, the contingencies appeared to have a less extensive effect. The authors point to various options for further study across different socio-economic contexts. This study evidenced that purely technological adoption will not lead to distinguished results. LP practices help in the installation of organisational habits and mindsets that favour systemic process improvements, supporting the design and control of manufacturers’ operations management towards the fourth industrial revolution era.

The purpose of this paper is to examine the mediating effect of learning organization dimensions on the relationship between the implementation of total quality management practices and companies’ operational performance improvement.

The authors carried out a cross-sector survey with 135 Brazilian manufacturing companies that have been implementing total quality management as an organizational strategy for at least five years. Collected data were analyzed using multivariate data analysis techniques.

The findings provide guidelines for manufacturers to increase their learning capability by reinforcing the implementation of total quality management practices, whose synergistic effects may be currently neglected. Results show that an enhanced organizational learning capability can significantly impact the improvement level of operational performance through the application of total quality management practices.

Several authors have investigated the relationship between total quality management implementation and learning organization aspects. However, most studies examined their relationship from a narrow perspective or under specific contexts, lacking empirical validation of their concurrent effect on operational performance improvement. The study aims at bridging this gap.

The purpose of this paper aims at investigating which lean supply chain management (LSCM) practices efficiently improve the supply chain performance.

To achieve that, a cross-sectional survey was carried out with 113 manufacturing companies undergoing a lean implementation. The proposed method combines complementary methods of multivariate data analysis in order to determine which bundles of LSCM practices more efficiently entail improvements on supply chain performance.

The findings justify why some LSCM initiatives may find larger barriers than others, compromising their success due to misguided implementation efforts according to the desired performance improvement.

The empirical examination on the efficiency of LSCM practices with regards to a certain set of performance indicators provides guidelines with respect to LSCM implementation depending on which performance indicators are envisioned for improvement.

The purpose of this paper is to empirically investigate the relationships among the implementation of LSC practices. Particularly, the authors examine the adoption level of 27 LSC practices, which were identified in a literature review, within 113 manufacturing companies from different sectors located in Southern Brazil.

Data collected were analyzed by means of multivariate techniques (partial correlation analysis) and two control variables were used: level of onshore suppliers and company’s experience on lean manufacturing implementation.

The results showed that the relationship among practices may not always be synergic, since there are pairs of practices that, when concurrently implemented they tend to conflict, hindering their benefits.

The use of partial correlations between pairs of LSC practices provides means to better understand specific associations, disregarding the implementation effect of the whole set of practices. The research also provides managers and practitioners arguments to better comprehend how practices interact with each other under specific contexts.