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Medical errors have become the third leading cause of death in the USA. Two million deaths from preventable medical errors will occur annually worldwide each year. The purpose of this paper is to find themes from the literature relating leadership styles – leadership approaches in practice – with success in reducing medical errors and patient safety.

This review analyzed primary and secondary sources based on a search for the terms leadership OR leadership style AND medical errors OR patient safety using five high-quality health-care-specific databases: Healthcare Administration Database from Proquest, LLC, Emerald Insight from Emerald Publishing Limited, ScienceDirect from Elsevier, Ovid from Ovid Technologies and MEDLINE with Full-Text from Elton B. Stevens Company. After narrowing, the review considered 21 sources that met the criteria.

The review found three leadership approaches and four leadership actions connected to successfully reducing medical errors and improving patient safety. Transformational, authentic and shared leadership produced successful outcomes. The review also found four leadership actions – regular checks on the front line and promoting teamwork, psychological safety and open communication – associated with successful outcomes. The review concluded that leadership appeared to be the preeminent factor in reducing medical errors and improving patient safety. It also found that positive leadership approaches, regardless of the safety intervention, led to improving results and outcomes.

This review was limited in three ways. First, the review only included sources from the USA, the UK, Canada and Australia. While those countries have similar public-private health-care systems and similar socioeconomics, the problem of medical errors is global (Rodziewicz and Hipskind, 2019). Other leadership approaches or actions may have correlated to reducing medical errors by broadening the geographic selection parameters. Future research could remove geographic restrictions for selection. Second, the author has a bias toward leadership as distinctive from management. There may be additional insights gleaned from expanding the search terms to include management concepts. Third, the author is a management consultant to organizations seeking to improve health-care safety. The author’s bias against limited action as opposed to strategic leadership interventions is profound and significant. This bias may generalize the problem more than necessary.

There are three direct practical implications from this review. The limitations of this review bound these implications. First, organizations might assess strategic and operational leaders to determine their competencies for positive leadership. Second, organizations just beginning to frame or reframe a safety strategy can perhaps combine safety and leadership interventions for better outcomes. Third, organizations could screen applicants to assess team membership and team leadership orientation and competencies.

This review is valuable to practitioners who are interested in conceptual relationships between leadership approaches, safety culture and reducing medical errors. The originality of this research is limited to that of any literature review. It summarizes the main themes in the selected literature. The review provides a basis for future considerations centered on dual organizational interventions for leadership and safety.

This paper aims to present a systematic review of design for six sigma (DFSS) methods applicable to the product development process (PDP) of durables goods and identify a research opportunity on the subject proposing integration of DFSS and a reference model for the PDP. In this way, through the analysis of the theoretical references identified in the scientific databases, it was possible to propose a conceptual model for the PDP oriented to the DFSS.

This paper is based on the theoretical framework presented in peer-reviewed scientific research papers during the period 2000 to 2018 on the theme DFSS applied in the PDP, as well as such as the product development tools/techniques and statistics addressed. By means of key words defined by the acronyms of DFSS methods (DMADOV, ICOV, DMEDI, IDOV, DDOV, PIDOV, DMADIC, DCCDI, DMADV, IDDOV, CDOV and DCOV), DFSS and the acronym DFSS. Applying Boolean expression during the conduction of the searches through the scientific evidence at the Brazilian scientific database platform (Capes database). This database platform is maintained by coordination for the improvement of higher education personnel, which including Emerald Insight (Emerald), Scopus (Elsevier), Science Direct, SpringerLink, Taylor Francis, Scielo (Web of Science), Wiley Online Library, Web of Science (Clarivate Analytics), etc. It was obtained, by means of the searches, 269 papers related to subject DFSS, of which 18 papers had been critically selected for the composition of a conceptual model for the process of development of product guided to the DFSS.

This study presents a review of the literature (systematic review and content analysis) on DFSS and its effectiveness for the PDP. The DFSS methodology is disseminated in the scientific literature through a variety of methods that are often mistaken for the six sigma methodology – DMAIC, which is directed toward process improvement. The PDP integrated with the DFSS concepts contributes to eliminating possible failures during the design of a new product, directing to reduce costs and improve the quality of the product and process.

This paper presents a literature review that guided to a proposal of a preliminary conceptual model DFSS focused on the process of product development with the purpose of being a friendly model that meets the dynamics of the organizations and the expectations of the consumers.

Through the systematic review and content analysis, it was possible to observe that the DFSS methods applied to product development are not related to the PDP reference models available in the literature. In this way, the fusion of the concepts of the DFSS methods and PDP reference models for the construction and proposition of a preliminary conceptual model DFSS oriented to the process of product development intends to contribute in the development of new products with the reduction of time, reduction of the cost, competitive price and consumer satisfaction.

This paper aims to analyse the unified theory of acceptance and use of technology (UTAUT) and UTAUT2 constructs used in research on information and communication technology (ICT) adoption and use among micro, small and medium enterprises (MSMEs) in non-organisation for economic co-operation and development (OECD) countries. It also investigates the areas of ICT adoption along the value chain in studies using these constructs.

Systematic literature review (SLR) was conducted, where 910 studies were retrieved manually in five academic databases. Forty-eight studies were finalised after four filtration levels.

Majority of the studies were published within the past six years, and 85.42% were studies in the form of journal papers. UTAUT constructs more researched compared to UTAUT2 constructs. More than half of the studies investigated ICT application in value chain boundaries, while 16 studies were organisation-wide studies.

With developments in MSMEs’ technology, the UTAUT2 model must be expanded to internal company operations including finance and infrastructure maintenance. To boost competitiveness and productivity, non-OECD authorities should focus on the cost and user-centric characteristics of MSMEs’ technology adoption.

Although SLRs on UTAUT and UTAUT2 constructs have been attempted previously, this study contributes to the body of knowledge by focusing analysis on the application of those constructs on MSMEs in non-OECD countries and also by situating ICT adoption along the value chain of enterprises.

This chapter explores the strategic responsiveness of commodity multinationals operating in developing countries to the uncertainties raised by the emergent European Union (EU) sustainability regulation. The study applies deductive theory triangulation to derive five response propositions, subsequently contrasted with inductive insights from an exploratory single-case study. The research involves in-depth interviews with a mix of senior and middle management and numerous external stakeholders. Empirical findings are discussed through storytelling and retrospective sensemaking and cross-checked against corporate documents, archive material, and online articles for added validation. This chapter concludes that an authentic commitment to corporate social responsibility and creating shared value can enhance the multinational enterprise (MNE)’s resilience and responsiveness to regulatory uncertainty, especially when combined with early signal scanning and real options reasoning. Through varied, first-hand insights, the case study demonstrates the role of reputation, core values, and ethical leadership in support of effective stakeholder engagement capabilities and the MNE’s ability to develop viable collaborative solutions to uncertainties implied by evolving sustainability regulation and stakeholder expectations. Taking an evolutionary view, this chapter introduces a process perspective on sustainability transition, relevant to firms seeking a shift in focus from mere compliance toward strategic responsiveness founded on adaptability and renewal.

Advances in Econometrics is a series of research volumes first published in 1982 by JAI Press. The authors present an update to the history of the Advances in Econometrics series. The initial history, published in 2012 for the 30th Anniversary Volume, describes key events in the history of the series and provides information about key authors and contributors to Advances in Econometrics. The authors update the original history and discuss significant changes that have occurred since 2012. These changes include the addition of five new Senior Co-Editors, seven new AIE Fellows, an expansion of the AIE conferences throughout the United States and abroad, and the increase in the number of citations for the series from 7,473 in 2012 to over 25,000 by 2022.

Job performance is an important variable, which primarily affects outcomes at three levels: the micro level (i.e. the individual), the meso level (i.e. the group) and the macro level (i.e. the organisation). This paper aims to identify, analyse and synthesise factors that affect job performance.

Through an extensive integrative review of literature, this study identifies and classifies the factors that affect job performance. A synthesised model based on the schema of demands, resources and stressors is also developed.

The demands identified are grouped into physical, cognitive and affective. Stressors adversely affecting job performance are classified at an individual level, job level and family level. Finally, resources are classified at an individual level, job level, organisational level and social level.

This review enhances the job demands-resources (JD-R) model to job demands-resources-stressors (JD-R-S) model by identifying a separate category of variables that are neither job demands nor resources, but still impede job performance.

The subgroups identified under demands, resources and stressors provide insights into job performance enhancement strategies, by changing, managing or optimising them.

This study helps in better understanding the factors that go on to impact job performance differentially, depending on the group to which they belong. It gives a holistic picture of factors affecting job performance, thereby integrating classifying and synthesising the vast literature on the topic.

Blockchain technology (BCT) has emerged as a powerful tool for enhancing transparency and trust. However, the relationship between the benefits of BCT and agri-food supply chain performance (AFSCperf) remains underexplored. Therefore, the current study investigates the influence of BCT on AFSCperf and sustainability issues.

Through a comprehensive literature review, various benefits of BCT are identified. Subsequently, a research framework is proposed based on data collected from questionnaire surveys and personal visits to professionals in the agri-food industry. The proposed framework is validated using partial least square structural equation modelling (PLS-SEM).

The findings reveal that BCT positively impacts AFSCperf by improving traceability, transparency, food safety and quality, immutability and trust. Additionally, BCT adoption enhances stakeholder collaboration, provides a decentralised network, improves data accessibility and yields a better return on investment, resulting in the overall improvement in AFSCperf and socio-economic sustainability.

This study offers valuable practical insights for practitioners and academicians, establishing empirical links between the benefits of BCT and AFSCperf and providing a deeper understanding of BCT adoption.

Stakeholders, managers, policymakers and technology providers can leverage these findings to optimise the benefits of BCT in enhancing AFSCperf. Moreover, it utilises rigorous theoretical and empirical approaches, drawing on a multidisciplinary perspective encompassing food operations and supply chain literature, public policy, information technology, strategy, organisational theory and sustainability.