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This study aims to investigate the interactions between lean production, internal green practices, green product innovation and sustainable performance metrics. The study further looks at the mediation effect of internal green practices and green product innovation between lean production and sustainable performance dimensions.

The questionnaire was used to glean data from 209 manufacturing firms. All the hypothesized relationships were processed by using partial least square-structural equation modelling.

The results suggest that lean production significantly leads to the implementation of internal green practices and the production of quality products with eco-oriented features that meet customers’ needs. Further, while lean production and internal green practices were found to significantly influence sustainability performance, green product innovation significantly influences only financial performance. Besides, the mediation analysis shows that internal green practices mediate the relationship between lean production and sustainable performance dimensions but green product innovation mediates the relationship between lean production and financial performance only.

The study is limited to firms from Ghana, a developing country; hence, the results cannot be imported to reflect other geographical contexts.

The results of the study provide sufficient justifications for managers, (especially Ghanaian managers and those from other similar environs) to commit their financial resources towards implementing lean production and internal green practices so as to achieve sustainability excellence.

This study magnifies and provides new insight on lean and green literature by developing a comprehensive research model that concurrently tests the direct and indirect effects between lean production, internal green practices, green product innovation and sustainable performance dimensions.

Both technological and human-centric perspectives need to be acknowledged when combining lean production practices and Industry 4.0 (I4.0) technologies. This study aims to explore and explain how lean production practices and I4.0 technologies may coexist to enhance the human-centric perspective of manufacturing operations in the era of Industry 5.0 (I5.0).

The research approach is an explorative and longitudinal case study. The qualitative data collection encompasses respondents from different job functions and organizational levels to cover the entire organization. In total, 18 interviews with 19 interviewees and five focus groups with a total of 25 participants are included.

Identified challenges bring forth that manufacturing organizations must have the ability to see beyond lean production philosophy and I4.0 to meet the demand for a human-centric perspective in socially sustainable manufacturing in the era of Industry 5.0.

The study suggests that while lean production practices and I4.0 practices may be considered separately, they need to be integrated as complementary approaches. This underscores the complexity of managing simultaneous organizational changes and new digital initiatives.

The research presented illuminates the elusive phenomena comprising the combined aspects of a human-centric perspective, specifically bringing forth implications for the co-existence of lean production practices and I4.0 technologies, in the transformation towards I5.0.

The study contributes to new avenues of research within the field of socially sustainable manufacturing. The study provides an in-depth analysis of the human-centric perspective when transforming organizations towards Industry 5.0.

The purpose of this paper is to present an analysis of research on lean production (LP) since the concept was developed at the end of the 1980s with the aim of developing a model that permits an extended and comprehensive understanding of LP.

A literature survey of peer reviewed journal articles and paradigmatic books with managerial impact is employed as the research methodology.

The findings derived from the evaluation of the publications analysed have led to the creation of an extended model of LP. Specifically, two new groups of factors to be taken into account in order to achieve a comprehensive understanding of LP are presented. Apart from internal aspects at the shop floor level and value chain elements, the model provided includes work organisation and the impact that the geographical context has on LP. In addition, the critical assessment of publications has allowed a number of specific aspects to be identified for which there is no empirical evidence.

This paper puts forward a new classification of literature identifying key aspects that should be included for LP development and management. It might represent new opportunities for rigorous and relevant research that would contribute to more transparent knowledge of LP being gained.

Prior to managing a company’s processes in the presence of a combination of paradigms, there is a need to understand their underlying interaction. This paper systematically reviews the existing literature that discusses the interaction between lean production (LP) and the fourth industrial revolution (i.e. Industry 4.0). The study aims to understand how the interaction unfolds and whether it is synergistic.

The research relies on a systematic literature review of peer-reviewed articles from Scopus and Web of Science that discuss the interaction between the two paradigms. The final set of articles pertaining to the topic was analysed.

The article presents that the interaction between the two paradigms occurs through a representation of the pillars of the House of Lean (HoL) interacting with the nine technological pillars of Industry 4.0. There is a consensus on the synergistic nexus among the pillars and their positive impact on operational performance. We also demonstrate the weights of the interactions between the two paradigms and the areas of operations management where this interaction takes place through Sankey charts. Our research indicates that the largest synergistic interaction occurs between just-in-time and industrial Internet of Things (IIoT) and that companies should invest in IoT and cyber-physical systems as they have the greatest weight of interactions with the pillars of the HoL.

This research facilitates a deeper insight into the interaction between LP and Industry 4.0 by organising and discussing existing research on the subject matter. It serves as a starting point for future researchers to formulate hypotheses about the interaction among the various pillars of LP and Industry 4.0, apply these interactions and test them through empirical research.

It could serve as a guide for managers to understand with which interactions they should start the digitalisation process.

With the rise in discussions on the interaction between the two paradigms, there is still an opportunity to understand the specificity of this interaction. Compared to the initial seminal works on the subject, such as Buer et al. (2018b), which investigated the direction of interaction between the two paradigms, this research contributes to further investigating this specificity and gaining a better understanding of the relationship governing the interaction between LP and Industry 4.0 by delineating the interaction state among the pillars of the two paradigms and its relevant importance.

This paper aims to understand the patterns of lean production implementation, and the relationship between three context factors (i.e. firm size, positions within the supply chain and time length of the lean initiative) and the adoption of lean production practices in firms of the automotive supply chain in Brazil.

The authors collected data from 65 companies of the automotive supply chain in Brazil. For data analysis, first a cluster analysis was performed to identify common characteristics in the companies’ context factors when considering patterns of lean implementation. Then, multivariate analysis of variance was used to investigate the differences between the context factors and the degree of use of lean practices.

High lean adopters had better performance than low lean adopters in terms of lead time, inventory and turnover. Firms at the first and second tier of the automotive supply chain were “leaner” than firms at the third tier. Large-sized firms were more likely to have a higher degree of use of lean practices than medium and smaller ones. Some, but not all, lean practices followed these patterns. Results also showed that some lean practices were most commonly adopted at the beginning of the lean journey, whereas others took more time to mature.

This paper demonstrated how lean practices were implemented at different positions within the supply chain, and the patterns of implementation often followed. It also considers lean in the context of developing countries such as Brazil.

Against the background of the often politicized debate on the advantages and disadvantages of production models based on sociotechnical systems (STS) theory and lean production (LP), this paper develops a notion of a hybrid model consisting of elements of both STS and LP and tests its validity by empirical examination.

A representative sample of manufacturing plants in Sweden was surveyed. The questionnaire measured the hybrid model in three specific constructs: STS in terms of an integrated work organizational design featuring multifunctional teams, decentralized responsibilities and integrated functions; LP in terms of adoption of lean practices such as just‐in‐time; and plant performance in terms of productivity, quality, delivery and speed. The obtained data were subjected to multiple regression analysis to test our convergence argument while controlling for plant size, order fulfilment practice and production process type.

A relationship between the elements of STS and LP is found. Implementing elements of both production models together leads to better plant performance than implementing either one in isolation. Furthermore, plants having an integrated work organization are possibly more successful in adopting the principles of LP, which in turn leads to improved plant performance.

In contrast to earlier research, the paper argues based on empirical findings that there is no inherent conflict between STS and LP. Rather, these production models have evolved over time and converged into a hybrid. The strong relationship between work organization design and LP practices suggests a need for a broad and parallel change effort for high performance impact.

With support from the dynamic capabilities theory, this paper examines the role of Cloud Computing technology use in logistics (Cloud-Supported Logistics) and its effect on business results in Lean manufacturing management (Lean Production implementation) and Supply Chain Integration contexts.

Using the survey method, a random sample of 260 companies in intermediate positions in their supply chains was gathered from a population of 1,717 Spanish companies and used to test five hypotheses. The data were collected by telephone survey using a computerised system with a response rate of 15.6% (260 valid questionnaires). Structural equation modelling was used to test the five proposed hypotheses.

The findings indicate that Cloud-Supported Logistics use plays an important role in achieving better business results in Lean Production environments. Lean Production has been found to have both a direct effect and an even more powerful indirect effect on performance through the Cloud-Supported Logistics and Supply Chain Integration that these technologies produce. Supply Chain Integration is also found to have a mediating effect in the Cloud-Supported Logistics–performance relationship.

This study is valuable for academics and practitioners as it provides evidence of the relevant role played by Cloud-Supported Logistics in Lean Production implementation contexts. Cloud-Supported Logistics and Lean Production are strategically and operationally linked and their joint use results in Supply Chain Integration and better business performance.

This empirical paper seeks to address the neglected work condition aspect of lean production (LP) implementation, specifically the relationship between LP and worker job stress.

The Karasek job stress model was used to link shopfloor practices to expected worker stress. The model incorporates the effects of job demands (physical and psychological), job control and social support. The study employs management and worker questionnaires, management interviews and structured plant tours. The response variable is total worker job stress – the sum of the physical and mental stress levels. The independent variable for the first question is the degree of lean implementation at the sites.

The results are based on 1,391 worker responses at 21 sites in the four UK industry sectors. About 11 tested practices are significantly related to stress and an unexpected non‐linear response of stress to lean implementation is identified. Results indicate that LP is not inherently stressful, with stress levels significantly related to management decisions in designing and operating LP systems.

The hypotheses tests shed light on the relationships between LP practices and job stress, and reveal a significant managerial influence on stress levels. The regression model shows the scale and significant lean practices of this influence, with the work practices explaining 30 percent of job stress variations. The stress reduction and stress control opportunities identified in the study show the potential for designing and operating effective lean systems while also controlling stress levels.

This is the first known multi‐industry empirical study of the relationship of job stress to a range of lean practices and to the degree of lean implementation.

The purpose of this paper to examine the impact of shop floor (SF) culture (organizational culture (OC) perceived by workers) and SF subcultures assessed by the competing values framework (CVF) on the perceived use of lean production (LP) practices.

The authors analyse questionnaires completed by workers at the single case company undergoing a commonplace lean transformation. The survey items cover both LP items and CVF statements. The propositions are analysed applying cluster analysis and regression.

At the case company, the multidimensionality of SF culture only partially exists, and the perceived use of LP practices shows little connection to OC. The considerable differences between SF culture and SF subcultures on the one hand and among SF subcultures on the other hand indicate the existence of a special multidimensional SF culture. Altogether, SF culture’s impact on LP is weak.

Managers should rethink the usual lean implementation pathways and understand how values pervade SF culture and how culture types impact the perceived use of LP practices at the SF. Managers could face a trade-off: smoother lean transition by engaging in SF subculture-specific transitions and reinforcing it or by developing a homogenous lean SF culture.

To the best of the authors’ knowledge, this is the first empirical attempt to understand the impact of SF culture on the perceived use of LP practices by adopting a validated OC measurement tool. Furthermore, the study provides insight into workers’ subcultures.

Buoyed by the increasing demand for improved productivity and environmentally conscious manufacturing, research in the area of lean production and green manufacturing has experienced significant growth since Dües et al. (2013). Taking the latter as the point of reference, a review of recent developments in the complementary and conflicting areas between lean production and green manufacturing that has been missing is presented.

A systematic search was done to identify articles on lean production and green manufacturing from Scopus, Web of Science and Google Scholar. The population-intervention-outcome format was used to develop and answer the research questions. ATLAS.ti 22 was used to analyse 141 qualifying papers and identify the research themes.

Lean production and green manufacturing have strong synergy, and when integrated, they tend to deliver superior organisational performance than their individual implementations. This is consistent with the pre-2013 results, and other areas of synergy and divergence were also identified.

The study considers only papers published in the manufacturing sector after Dües et al. (2013). A review of lean production and green manufacturing in integrated product-service systems may also be relevant, especially due to the continuing trend since its introduction.

Any new adopter of lean production should consider implementing it simultaneously with green manufacturing.

This study establishes the persistence of the pre-2013 patterns of synergy and divergence between lean production and green manufacturing, and identifies new considerations for their joint implementation.