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The purpose of this paper is to explore the adoption of lean practices by manufacturing companies in regions of low economic and technological development and to compare findings with previous studies from more developed regions highlighting important contextual differences. The paper uses the contingency theory to explore how contextual variables and scarce resources influence the adoption of lean practices.

A survey of 233 manufacturing firms was conducted in the State of Pará in the Amazon Region of Brazil.

The results demonstrate that six internal lean practices (single minute exchange of dies, human resource management, continuous flow, total productive maintenance, pull and statistical process control) and two external lean practices (supplier feedback and customer involvement) are implemented. However, the two external lean practices of just-in-time delivery by suppliers and supplier development were not implemented. Furthermore, from the 36 operating items comprised in eight lean practices that are being used, 13 were not implemented. As such, compared to developed regions, there is evidence for a more fragmented implementation in less developed regions. The results reveal empirical evidence explained by the contingency perspective, such as national, geographical, strategic context and culture.

There is broad evidence on lean implementation in developed and developing countries in the literature. However, little is known about lean implementation in poorer regions of developing counties. This is one of the first studies mapping lean implementation in a region with low economic and technological development. This has important implications for research and practice, especially to cross-country/cultural research on operation management.

The purpose of this paper is to understand the relationship between the implementation of Lean shop floor (LSF) practices and Lean supply chain management, and their effect on quality and inventory turnover.

A survey-based research method was conducted and data were collected from 110 plants located in Brazil. The research constructs were validated through rigorous procedures (unidimensionality and discriminant validity and reliability) through confirmatory factor analysis and two hypotheses were tested using ordinary least square regression.

The results indicate that: Lean supplier relationship positively moderates the effect of LSF practices on inventory turnover; Lean customer relationship negatively moderates the effect of LSF practices on inventory turnover; and Lean supplier relationship positively moderates the effect of LSF practices on quality.

From a theoretical perspective, the results of this study provide evidences supporting the importance of understanding the systemic relationships between Lean implementation at the shop floor and the firm’s relationships with supply chain partners, that was not tested before. As managerial implications, the results suggest that managers should take a decision to foster a Lean supply chain management depending on which performance metrics they need to improve: quality or inventory turnover.

This study aims to provide an overall framework that connects and explains a macro-perspective of the findings from the five studies of this special issue. Through this, we aim to answer two main questions: How can Lean and Industry 4.0 be integrated, and what are the outcomes for workers from such integration?

The special issue received 64 papers that were evaluated in multiple stages until this final sample of five papers that describe different facets of the integration between Lean and Industry 4.0 and their relationship with worker activities. In this introduction, we review the main findings of these five studies and propose an integrative view and associated propositions. A discussion provides directions to advance the field further.

The framework shows that when Lean and Industry 4.0 are integrated, companies will face two types of tensions, dialectical and paradoxical, which require different managerial approaches. By managing such tensions, the Lean-Industry 4.0 integration can help improve social performance, as well as develop systematic problem-solving and cumulative learning capabilities. Five important themes for this field of research are outlined: the importance of work routines, legitimation, competence, sense and mental flexibility.

This study brings a new theoretical perspective to the integration of Lean with Industry 4.0-related digital technologies. The results go beyond the usual view of improving operational performance and dig into the effects on workers. It also shows that the integration process relies on and can enhance human capabilities such as learning and problem-solving.

The purpose of this paper is to understand the role of resilience enablers in combating counterfeits in the medicine supply chain based on a Systematic Literature Review (SLR). The objective is also to help practitioners and scholars as the review revealed that little research has been conducted on selecting and implementing practices to improve resilience to counterfeiting.

Based on the literature review, a content analysis was performed for 84 selected papers to explore the potential relationship among resilience enablers and counterfeit anti-measures.

This paper contributes to Supply Chain Resilience (SCR) research by summarizing the highly fragmented literature concerning how to combat counterfeiting. The SLR indicated reengineering, collaboration, visibility, innovation, SCR culture and trust as six key enablers to combat counterfeit medicines and identified literature gaps. Moreover, the paper discusses other resilience enablers which have been less studied in the literature and shows new avenues of research.

This paper is limited in that it is an exploratory literature review and focuses only on three databases over the past 15 years. Furthermore, counterfeit is a rapidly evolving issue and anti-measure studies require frequent surveillance concerning new discoveries.

The main contribution of this paper is to provide a better understanding of enablers most often associated with counterfeit anti-measures, which, therefore, might help to increase resilience to counterfeit medicines. Moreover, research gaps involving enablers less associated with anti-measures are presented.

This paper aims to evaluate the impacts of the COVID-19 crisis on startups performance and the moderating effects played by several resilience-related startup characteristics during times of crisis.

To achieve this, 94 Brazil-based startups were surveyed, and multivariate data techniques (PLS-SEM) were applied.

The results show that despite the startups performance having been affected by the pandemic crisis, the response measures, when influenced by the resilience characteristics of these companies, moderated this effect. Furthermore, our findings suggest the future challenges to be faced by these organisations in the post-pandemic period.

Proposing a framework, our survey research contributes to the dynamic capabilities theory by showing that startups resilience is linked to the micro-foundations of sensing (e.g. innovation systems, resilience culture, pivoting practices, innovativeness products), seizing (e.g. leadership/focused skills, people development and selection, agility, clear vision of business process) and reconfiguring capabilities.

Not only for theory, but this paper also contributes insights and guidelines for business practice in the face of challenges arising from times of crisis. By demonstrating the positive effect of early response measures based on resilience, our findings provide genuine managerial input that can help managers, funders and decision-makers in these companies operations against turbulent crises early on, thereby supporting the traction phase and sustaining their performance.

Previous research has examined the effects of the COVID-19 crisis in several sectors and perspectives. However, this study is the first to empirically test and clarify how the resilience and singularities of these new business models based on innovation could react to the changes caused by the pandemic.

This paper aims to detail how a Sales and Operations Planning (S&OP) process can be designed to support the planning requirements of recently introduced products.

Design science research was conducted to propose and implement an S&OP model for demand fulfillment after the introduction of new products. The results were analyzed using the CIMO (Context, Intervention, Mechanisms and Outcomes) logic, and two sets of design propositions were formulated.

An S&OP process for new products can reduce additional costs for market fulfillment by concentrating the planning efforts on new products, aligning organizational efforts, and increasing the sales and supply chain information’s update frequency.

The outcomes of S&OP new products were analyzed in a single organization and are limited to the contextual factors presented.

This paper describes in detail how to organize an S&OP focused on new products. By considering the contextual factors and design propositions, managers can potentially increase the success of new products introduction (NPI) in their context.

A specific S&OP process focused on new products is a viable solution and could co-exist with a traditional S&OP process. Moreover, we identified six contextual factors that influence the outcomes of the S&OP new products.

This study aims to identify the main elements that describe the luxury supply chain. It discusses the relationship between them in a framework that organises and summarises the literature.

A systematic literature review was conducted that returned 288 papers, which were selected based on specific quality and theme criteria. Content analysis was used to investigate the alignment of critical success factors with the performance goals and configuration elements of luxury supply chains in the final sample of 66 papers.

The results provide a framework that clarifies the relationship between the configuration elements and supply chain performance goals and the critical success factors for three different levels of the luxury market. Depending on the level of luxury, performance goals and configuration elements assume a different importance and different characteristics. An understanding of these differences is relevant for defining strategies and managing luxury supply chains properly. The three different configurations also reveal new research avenues to be further investigated.

The study is limited in terms of its data source as the papers reviewed were collected from only three academic databases.

The findings of this work help incorporate knowledge about luxury supply chain management into a framework that can be easily used for defining strategies and organising the supply chain according to the different levels of luxury.

This study represents an important evolution in organising the current literature on luxury supply chain management into a framework that covers critical success factors, supply chain performance goals and configuration elements for three different levels of luxury, which in turn creates promising opportunities for future enquiry.

The challenges of digital transformation (DT) have gained attention from both academics and practitioners, as more manufacturing companies are seeking digital technology implementation. This study, therefore, aims to identify the challenges of DT in manufacturing companies and propose new research directions.

A systematic literature review considering 176 articles (published between 2003 and 2019) was used to build a conceptual framework of DT.

A systematized view of challenges regarding organizational commitment, value creation, value proposition, value delivery, value capture, information and technology infrastructure and data security were identified. Moreover, a conceptual framework was developed to summarize the challenges and how they are associated with the business model value architecture and with the DT phases. Research opportunities for future research were also identified, contributing to the advancement of the topic.

First, the study provides a categorization of the main challenges of DT in manufacturing companies. Second, it identifies research gaps and future research avenues; and finally, it proposes a conceptual framework that aims to support more rigorous studies and guide management decisions regarding an integrative understanding of DT.

This paper aims to examine the relationship between the main decisions for designing distribution centers (DCs) and the contextual characteristics of the distribution networks.

Experts were surveyed and responses analyzed quantitatively through multivariate data techniques. This study considered four contextual characteristics that were deemed as influential for DC design: types of routes in the distribution network, quantity of DCs, distribution network levels and company size.

This paper evidenced which decisions are affected by each contextual characteristic encompassed in this study. This paper identified that the characteristic types of route in the distribution network must be carefully considered, as it had the greatest amount of associations with the decisions for designing a DC.

Despite its importance, most studies on design of DCs disregard the effect of the context in which DCs are inserted. This research provides arguments to support decision-making process of DCs design, increasing assertiveness of their planning. This work fulfills a literature gap by empirically examining the effect of contextual variables on the decisions related to DC design. Regarding practice, this paper addressed a fundamental issue for managers looking to design a DC, as it evidenced how contextual characteristics impact the decision-making.

This paper aims at examining the impact that COVID-19 pandemic and its related work implications have on the relationship between lean implementation and service performance.

The author surveyed service organizations that have been implementing lean for at least two years and remotely maintained their activities during the COVID-19 outbreak. Multivariate data techniques were applied to analyze the dataset. This study was grounded on sociotechnical systems theory.

The findings indicate that organizations that have been implementing lean services more extensively are also more likely to benefit from the effects that the COVID-19 had on work environments, especially in the case of home office. Nevertheless, social distancing does not appear to mediate the effects of lean services on both quality and delivery performances.

Since the pandemic is a recent phenomenon with unprecedented effects, this research is an initial effort to determine the effect the pandemic has on lean implementation and services' performance, providing both theoretical and practical contributions to the field.