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This study aims to validate a model of relationships between critical factors such as service strategy, culture-climate, leadership, customer involvement, technology strategy and service innovation (SI). Moreover, it investigates the impact of SI on a company’s performance and the moderating role of digitalization in the relationships between critical factors and SI.

Primary data were collected through a survey and partial least squares structural equation modeling was used to analyze the collected data and test the research hypotheses.

The results suggest positive associations of service strategy toward culture-climate, leadership, customer involvement and technology strategy in terms of significance and effect size. However, only two factors (e.g. customer involvement and technology strategy) positively influence SI, which affects financial and non-financial performance. Furthermore, digitalization does not strengthen the influence of four antecedents (i.e. culture-climate, leadership, customer involvement and technology strategy) in SI.

First, the study provides a comprehensive framework of SI critical factors and their impact on company performance. Second, it links servitization, SI and digitalization. Third, it tests the effects of digitalization.

The traditional Shewhart control chart, the X-bar and R/S chart, cannot give support to decide when it is not economically feasible to stop the process in order to remove special causes. Therefore, the purpose of this paper is to propose a new control chart design – a modified acceptance control chart, which provides a supportive method for decision making in economic terms, especially when the process has high capability indices.

The authors made a modeling expectation average run length (ARL), which incorporates the probability density function of the sampling distribution of C_pk, to compare and analyze the efficiency of the proposed design.

This study suggested a new procedure to calculate the control limits (CL) of the X-bar chart, which allows economic decisions about the process to be made. By introducing a permissible average variation and defining three regions for statistical CL in the traditional X-bar control chart, a new design is proposed.

A framework is presented to help practitioners in the use of the proposed control chart. Two new parameters (C_p and C_pk) in addition to m and n were introduced in the expected ARL equation. The C_pk is a random variable and its probability function is known. Therefore, by using a preliminary sample of a process under control, the authors can test whether the process is capable or not.

This paper investigates whether adopting continuous improvement (CI) behaviors is related to better radical and incremental product and process innovation performance and identifies whether CI behaviors positively affect respondent perceptions on CI contributions to innovation performance.

Data were collected from 139 firms in Brazil, and cluster analysis was used to identify groups with different CI adoption levels. The nonparametric Wilcoxon–Mann–Whitney test was used to verify differences in innovation performance at companies via manager perceptions on CI and innovation.

Data show that more CI behavior implementation was associated with better product and process innovation performance. Furthermore, companies with more mature CI behavior levels innovate more, which may reinforce CI investments.

Organizational managers focused on innovation should dedicate time to evaluating and developing CI behaviors, and maturing CI philosophies to improve performance. This study can contribute to the literature by offering insights for developing public policies, especially for emerging economies, or for companies seeking to become more competitive, since CI can foster and promote a culture of long-term innovation.

Despite the fact that a relationship between CI and operational performance has already been established, there is still a lack of research that identifies the impacts of CI behavior on innovation. Focusing on CI behavior is important because it can be fostered by various programs and improvement initiatives, highlighting paths for managerial practices and academia. This study was conducted for an emerging economy.

Although lean methods are considered easy to be implemented during the initial phases of the lean transformation process, few companies are able to maintain them in long term. One of the key factors for this maintenance is the role played by the leaders in their teams. The purpose of this paper is to show the outcomes of an action research that analyzed and developed leadership practices, using the lean leadership model for developing people as reference and considering the factors: to promote employees’ self-development; to coach and develop employees; to support daily kaizen; to create vision and align goal.

The results of this study are based on the action research method applied in a large Brazilian industrial company. The study was structured considering the phases of problem diagnosis, action plan, implementation and evaluation of practical and theoretical results.

The leadership practices implemented from the model were shown to be adequate to the lean production system (LPS) and it was observed that reflecting on the processes and the organizational learning are two main concepts that these practices support in the organization.

Since this study is based on action research in a single company, the generalization of results is limited. Suggestions for future research include the development of a quantitative research in different industrial contexts.

The practical implications of this research are to present activities that must be developed by the leadership of organizations to maintain LPS.

This paper raises the problems of organizational leadership that limit the implementation and maintenance of LPS, presenting the planning and implementation of changes in leadership practices to solve these problems.

The term Lean Startup (LS) was coined by Eric Ries, and his 2011 book has popularized the concept with organizations, both startups and established organizations, implementing LS. However the empirical grounding is thin and for a long time this subject has been neglected by academia. The purpose of this paper is to present a systematic literature review (SLR) on LS, while highlighting core knowledge and identify gaps.

A SLR was carried out based on the Preferred Reporting for Systematic Reviews and Meta-Analyses (PRISMA) protocol of Scopus and Web of Science databases. In total, 45 articles published in journals and conferences over 10 years were collected which revealed a number of LS research gaps.

The SLR revealed the tools and methods associated with LS, most cited pros and cons, reasons that cause LS failure, the challenges that companies face in the implementation of LS, and critical success factors (CSFs) that can support these challenges and minimize the reasons for failure.

The findings of the study can be beneficial to practitioners and senior managers in organizations who wish to delve into the journey of LS. The study also discloses challenges and barriers that can hinder the implementation of LS.

Academic publications regarding LS are sparse and this SLR is one of the first SLRs to explore both the critical failure factors (CFFs) and the CSFs based on peer-reviewed journal and conference proceedings.

Lean implementation has become popular over the past three decades in the industry and is becoming more prevalent in, service organizations. The objective of this study is to evaluate the impact of social and technical Lean practices on sustainable performance (i.e. economic, environmental and social) in service organizations.

The methodology includes the analysis of global results obtained from 139 managers from the service sector.

The results demonstrate that Lean practices have a positive effect on the three perspectives of sustainable performance, regardless of the company size and duration of Lean implementation. Furthermore, both social and technical Lean practices have a similar impact on environmental and economic performance, but their impact on social performance differs, since social Lean practices have a stronger impact on social performance.

This study has a significant contribution to Lean practitioners in service sectors, as it demonstrates that efforts to apply Lean practices can benefit economic results as well as environmental and social performance.

Majority of existing studies focused on the isolated impact of Lean on one of the triple bottom line performance aspects and with a scarcity of studies within the context of services. The intersection of these three strategic areas – Lean, sustainability and services – has not been extensively addressed. There is also a lack of studies that observe sustainability in environmental, social and economic performance, mainly in the service sector.

The aim of this study is to investigate the effects of soft and hard quality management (QM) practices on innovation performance, considering innovation practices as a contextual variable mediating this relationship.

Using data from 132 Brazilian manufacturing companies, partial least square–structural equation modeling (PLS–SEM) is employed to test if soft and hard QM practices, directly, affect innovation practices and, indirectly, innovation performance. This investigation also aims to identify whether the relationships are maintained regardless of the size of the company.

The results suggest that soft QM has a positive effect on hard QM. However, only soft QM, not hard QM, has a significant effect on innovation practices. Additionally, soft QM has a significant positive effect on innovation performance through innovation practices. Company size does not influence the relationships.

The findings can help managers to adjust their managerial practices to enhance the effective impact of QM on innovation performance.

The previous literature presents conflicting results on the relationship between QM and innovation performance. Most studies have proposed a direct relationship between both constructs. This study considers innovation practices as a mediator in this relationship. Furthermore, this paper adds to the scarce literature reporting related studies conducted in developing countries.

Front-line lean leadership is critical for implementing and sustaining lean production systems (LPS). The purpose of this paper is to analyze the relationships between front-line lean leader (FLL) capacities (cognitive, social, motivational, knowledge and experience), lean leader practices (developing people and supporting daily kaizen) and the degree of implementation of lean tools (pull system, involvement of employees and process control) in manufacturing companies.

A survey was conducted with FLLs from large Brazilian manufacturing companies. The survey collected 103 responses, 99 of which were validated. Data were analyzed using partial least squares structural equation modeling.

There was a positive, significant and direct relationship between FLL capacities, leadership practices and a degree of implementation of LPS tools on the shop floor. The validated model is a reference base for planning FLL capacities and practices that result in more effectively implementing LPS on the shop floor.

The findings provide managers with a new perspective on the importance of the development and training of FLLs focusing on leadership capacities. As decisions about developing lean capabilities impact the application of Lean leadership practices and the use of lean tools, they are also related to day-to-day lean activities and improved operational results. Additionally, the proposed model can be used by managers as a basis to diagnose, develop and select lean leaders.

This study seeks to fill a theoretical gap of knowledge on front-line lean leadership as it jointly addresses and empirically analyzes the existing relationships between lean leadership capacities, encompassing the perspective of psychology, lean practices and tools on the shop floor.

There is increasing interest in the connection between Industry 4.0 (I4.0) and operational excellence approaches; however, studies on the integration between Six Sigma (SS) and I4.0 have been absent from the literature. Integration with I4.0 technologies can maximize the positive effects of SS. The purpose of this study is to understand what types of relationships exist between SS and I4.0 and with I4.0's technologies, as well as the benefits derived from this integration and future directions for this field of study.

A Systematic Literature Review (SLR) was carried out to analyze studies about connections between I4.0 technologies and SS. SLR analyzed 59 articles from 2013 to 2021 extracted from the Web of Science and Scopus databases, including documents from journals and conferences.

The SLR identified relationships between SS and several I4.0 technologies, the most cited and with the greatest possibilities of relationships being Big Data/Big Data Analytics (BDA) and Internet of Things (IoT). Three main types of relationships were identified: (1) support of I4.0 technologies to SS; (2) assistance from the SS to the introduction of I4.0 technologies, and, to a lesser extent; (3) incompatibilities between SS and I4.0 technologies. The benefits are mainly related to availability of large data sets and real-time information, enabling better decision-making in less time.

In addition, the study can help managers to understand the integration relationships, which may encourage companies to adopt SS/Lean Six Sigma (LSS) in conjunction with I4.0 technologies. The results also drew attention to the incompatibilities between SS and I4.0 to anticipate potential barriers to implementation.

The study focuses on three previously unexplored subjects: the connection between SS and I4.0, the existing relationships with different technologies and the benefits resulting from the relationships. In addition, the study compiled and structured different types of relationships for SS and I4.0 and I4.0's technologies, identifying patterns and presenting evidence on how these relationships occur. Finally, exposes current trends and possible research directions.

This paper aims to thoroughly identify the forms of integration between Lean, Industry 4.0 (I4.0) and environmental sustainability (ES) by examining the relationships between these three constructs, deepening understanding surrounding the theme and evolving the construction of a framework that can aid managing industrial production processes.

A systematic literature review (SLR) was the method used to identify the relationships for integration in the current literature. The SLR was supported by content and cluster analysis. The analyzes identified relationships at two levels. The first level observed relationships for constructs and variables. The second, at the level of constructs and components, which detail the variables. This study also proposes an integrated conceptual framework showing these relationships at the construct, variable and component levels.

The results show how these three constructs are related and the study concludes by stating that there is stronger integration among I4.0 technologies and Lean practices for reaching ES. The SLR identified the main components that allowed for this integration, i.e. I4.0 technologies, Big Data, the internet of things and Lean practices, like reducing waste and customer needs.

From an academic standpoint, this study proposes new lines of research lines that have not been explored thus far, and can be developed via empirical studies, at the strategic and operational levels among different industrial sectors. Also, this study can help managers understand the integrations between Lean practices and I4.0 technologies to achieve better operational and environmental organizational results.

To the best of the knowledge, this study is the first of its kind using SLR to integrate Lean approaches, ES and I4.0 and to propose a unified framework to help managers and academics understand these relationships.