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This study investigates the intellectual structure of the front-end of innovation (FEI) research field and elaborates a lifecycle model, which embraces the FEI progress and conceptual development.

This study analysed 355 papers published from 1987 to 2020 in the Scopus and Web of Science databases through bibliometrics, network analysis and content analysis.

This study reveals FEI research themes and topics and explores their evolution through three periods. In addition, following a lifecycle approach, it also sets the research field foundation and discusses the maturity and potential progress of the FEI intellectual structure.

This study complements the existing FEI reviews by capturing the most relevant topics in the area, showing how these topics relate to each other to form the intellectual domain and providing insights concerning the research progress through different lifecycle stages. It also extends the FEI database used in the other literature reviews.

The purpose of this study is to identify the elements of the product-service system (PSS) business model of a Brazilian company that has been running it for almost 50 years. It describes the PSS business model and gives special attention to the financial aspects of PSS implementation and to contingent factors of this emerging country.

The research is based on a single case study. Data have been collected through interviews and document analysis. Results and implications are obtained using Canvas framework to structure information and comparison between theory and practice.

Results described in this paper show that the PSS design and implementation can be strongly influenced by financial and contingent factors. This case indicates that the implementation of PSS business models can follow diverse paths and configurations to fit with companies’ organizational features, local regulations and economic factors, including mixed transactional models and less demanding financial assessments.

This paper provides a roadmap of lessons learned from a multinational manufacturer that has been following the PSS business model for almost 50 years. This paper offers key insights concerning financial aspects and contingency factors that might influence servitization adoption.

The purpose of this paper is to find the configuration of the number (m) and size (n) of the sample in Phase I that would make it possible to detect the out-of-control (OOC) state of the process with the smallest number of samples and ensure a capability index (C_pk) that would meet the customer’s requirements.

The suggested approach addresses this problem using simulation techniques and design of experiments (DOE). The simulation techniques made it possible to reproduce the normal operating conditions of the process. The DOE was used to construct a predictive model for control chart performance and thus to determine combinations of m and n in Phase I that would meet the capability objectives of the process. A numerical example and a simulation study were conducted to illustrate the proposed method.

Using simulation techniques and DOE, the authors can find the number (m) and size (n) of the sample in Phase I that would make it possible to detect the OOC state of the process with the smallest number of samples and ensure a C_pk that would meet the customer’s requirements.

In the real situations of many companies, choosing the numbers and sizes of samples (m and n) in Phases I and II is a crucial decision in relation to implementing a control chart. The paper shows that the simulation method and use of linear regression are effective alternatives because they are better known and more easily applied in industrial settings. Therefore, the need for alternatives to the X control chart comes into play.

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 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.

The purpose of this paper is to present a framework to assist the selection of certification bodies in the implementation of quality management system (QMS) based on ISO 9001 taking into account a set of criteria organized in a multi-level hierarchical form. To deal with this complexity, the multi-criteria decision-making method (MCDM) analytic hierarchy process (AHP) was used in this research.

The research was conducted in small and medium-sized companies certified to ISO 9001. The MCDM method AHP was used as a method for developing the model to support the selection of certification bodies.

This paper provides a framework for companies seeking to hire certification bodies, mainly for ISO 9001 certification, which help identify the companies that best fit the certification objectives. Additionally, a ranking of the main criteria to select certification bodies for ISO 9001 was obtained.

The decision-making method was applied to Brazilian companies from different sectors. As the results can vary between regions and sectors, this is a limitation of the research. In addition, the number of ten respondents could be higher to increase the robustness of the results.

The model assists companies looking for certification, mainly ISO 9001, in the selection of certification bodies contributing in the search for deeper implementations of QMS.

This work has the originality of the application of a decision-making method in the final process of ISO 9001 certification, scarce in the literature. In addition, it defines weights for the criteria involved in the process of selecting certification bodies.

The objective of this article is to identify and analyze critical factors in the development of continuous improvement (CI) activities in Brazilian companies.

A conceptual model of the relationship between practices and results was tested to identify the critical factors using a survey conducted in 46 industrial companies. Non‐parametric tests were used to test some hypotheses developed based on the literature.

The results indicate the importance of staff training in problem solution tools, incentives for suggestions, face‐to‐face communication and regular shop floor visits such as critical factors for the success of continuous improvement activities (CI). Operational practices of CI contribute to company performance in relation to improvements in productivity, quality, lead time, cost, customer satisfaction and development of employees’ skills to solve problems.

Although the detected constructs are fairly accurate, they are still subject to improvements and new dimensions can be incorporated to them.

These critical factors are related to actions that encourage employees to participate in CI activities and incentive mechanisms to be able to apply identification techniques and tools successfully, as well as find solution to problems.

The results of this work provide a thorough understanding of the success drivers when conducting CI activities.

This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies.

This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context.

Service innovation is a crucial element of development in medical manufacturing, which can provide significant boosts to financial and non-financial elements to a company.

The briefing saves busy executives, strategists and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.