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This study aims to examine the effect of human resource management (HRM) in mitigating negative effects of Lean management and Six Sigma (LM&SS) on employee well-being in health care. The authors subdivide well-being into three components: happiness, trust and health.

This is a cross-sectional, multisite survey study in internal service units of hospitals. Data analyzed using multivariate regression come from a sample of 1,886 survey respondents (42 units, N = 218 supervisors, N = 1,668 employees) in eight Dutch academic hospitals that have implemented LM&SS.

The present study findings show no or weak effects of LM&SS on the happiness and health component of employee well-being. In addition, the authors found a significant but weak direct positive effect (ß = 0.07) of the LM&SS bundle on the trusting relationships component of well-being. Therefore, moderating effects of HRM practices on the relationship between LM&SS and employee well-being seem less relevant because an existing relationship between LM&SS and employee well-being is a prerequisite for moderation (Hayes, 2009). There were unexpected side effects. Inspired by research that discusses direct effects of HRM on employee well-being, the authors tested this relationship and found that HRM has a direct positive effect on trust and happiness of employees in health care. For the health component of well-being, the present results show a weak negative effect of HRM.

This study results in a cautiously optimistic view about LM&SS in health care, provided that it is applied in a targeted manner (to improve the performance of their processes) and that HRM is strategically aligned with the goals of LM&SS to improve employees’ happiness and trusting relationships.

Unique features of the study are the focus on the consequences for employees’ well-being related to LM&SS in health care, the role of HRM in regard to this relationship and the participation of all eight Dutch academic hospitals in this research.

This case study paper aims to explore the complexities and challenges of epidemic response and public health surveillance in Native American and Indigenous American communities in the United States and find viable solutions. This paper explores these topics through the emergence and impact of the hantavirus pulmonary syndrome (HPS) within the Navajo Nation in the United States using critical incident analysis and best practices.

This project is a case study paper based on a topical review of the literature. A topical review of the literature is a comprehensive exploration of the current body of knowledge within a particular research field. It is an important tool used by scholars and practitioners to further the development of existing knowledge as well as to identify potential directions for future research (Fourie, 2020). Such a paper can provide a useful insight into the various aspects of the process that the researcher may have overlooked, as well as highlighting potential areas of improvement (Gall et al., 2020). It can also provide a useful source of ideas and inspiration for the researcher as it can provide an overview of the various approaches used by other researchers in the field (Göpferich, 2009). Case study papers using a topical review of the literature have been used to help frame and inform research topics, problems and best practices for some time. They are typically used to explore a topic in greater depth and to provide an overview of the literature to improve the world of practice to provide a foundation for future comprehensive empirical research. Case study papers can provide research value by helping to identify gaps in the literature and by providing a general direction for further research. They can also be used to provide a starting point for research questions and hypotheses and to help identify potential areas of inquiry.

This study explores best practices in public health surveillance and epidemic response that can help strengthen public health infrastructure by informing the development of effective surveillance systems and emergency response plans, as well as improving data collection and analysis capabilities within Native American and Indigenous American communities in the United States that also have the option to include new technologies like artificial intelligence (AI) with similar outbreaks in the future.

The literature review did not include any primary data collection, so the existing available research may have limited the findings. The scope of the study was limited to published literature, which may not have reported all relevant findings. For example, unpublished studies, field studies and industry reports may have provided additional insights not included in the literature review. This research has significant value based on the limited amount of studies on how infectious diseases can severely impact Native American communities in the United States, leading to unnecessary and preventable suffering and death. As a result, research on viable best practices is needed on the best practices in public health surveillance and epidemic response in Native American and Indigenous American communities through historical events and critical incident analysis.

Research on public health surveillance and epidemic response in Native American communities can provide insights into the challenges faced by these communities and help identify potential solutions to improve their capacity to detect, respond to and prevent infectious diseases using innovative approaches and new technologies like AI.

More research on public health surveillance and epidemic response can inform policies and interventions to improve access to healthcare for Native American populations, such as increasing availability of healthcare services, providing culturally appropriate health education and improving communication between providers and patients. By providing better public health surveillance and response capacity, research can help reduce the burden of infectious diseases in Native American communities and ultimately lead to improved public health outcomes.

Effective use of data across public health organisations (PHOs) is essential for the provision of health services. While health technology and data use in clinical practice have been investigated, interactions with data in non-clinical practice have been largely neglected. The purpose of this paper is to consider what constitutes data, and how people in non-clinical roles in a PHO interact with data in their practice.

This mixed methods study involved a qualitative exploration of how employees of a large PHO interact with data in their non-clinical work roles. A quantitative survey was administered to complement insights gained through qualitative investigation.

Organisational boundaries emerged as a defining issue in interactions with data. The results explain how data work happens through observing, spanning and shifting of boundaries. The paper identifies five key issues that shape data work in relation to boundaries. Boundary objects and processes are considered, as well as the roles of boundary spanners and shifters.

The study was conducted in a large Australian PHO, which is not completely representative of the unique contexts of similar organisations. The study has implications for research in information and organisational studies, opening fields of inquiry for further investigation.

Effective systems-wide data use can improve health service efficiencies and outcomes. There are also implications for the provision of services by other health and public sectors.

The study contributes to closing a significant research gap in understanding interactions with data in the workplace, particularly in non-clinical roles in health. Research analysis connects concepts of knowledge boundaries, boundary spanning and boundary objects with insights into information behaviours in the health workplace. Boundary processes emerge as an important concept to understand interactions with data. The result is a novel typology of interactions with data in relation to organisational boundaries.

Cash flow deficit situations and working capital control are major challenges for many companies, especially those whose suppliers and clients have strong bargaining power. This study aims to describe the application of the Six Sigma methodology for solving these problems in a large German food can manufacturing company.

This paper follows the qualitative methodology of case study research. During different define, measure, analyse, improve and control process phases, the problem and critical aspects are identified to improve the quality of the payment process and improvements are suggested and implemented.

The results provide evidence of how Six Sigma can be useful in administrative–financial processes that are carried out within a company. This result is particularly interesting because it is about processes that have not applied Six Sigma methodology. For the company studied, this methodology has balanced its cash flow and this meant large amounts of savings, especially in bank interest to avoid having to ask for bank credits.

This case can be extrapolated to other companies, regardless of the company size, that present similar symptoms of cash deficit, especially if their bargaining power with suppliers and customers is low.

In the US, a growing number of organizations and industries are seeking to affirm their commitment to and efforts around diversity, equity, and inclusion (DEI) as recent events have increased attention to social inequities. As health care organizations are considering new ways to incorporate DEI initiatives within their workforce, the anticipated result of these efforts is a reduction in health inequities that have plagued our country for centuries. Unfortunately, there are few frameworks to guide these efforts because few successfully link organizational DEI initiatives with health equity outcomes. The purpose of this chapter is to review existing scholarship and evidence using an organizational lens to examine how health care organizations can advance DEI initiatives in the pursuit of reducing or eliminating health inequities. First, this chapter defines important terms of DEI and health equity in health care. Next, we describe the methods for our narrative review. We propose a model for understanding health care organizational activity and its impact on health inequities based in organizational learning that includes four interrelated parts: intention, action, outcomes, and learning. We summarize the existing scholarship in each of these areas and provide recommendations for enhancing future research. Across the body of knowledge in these areas, disciplinary and other silos may be the biggest barrier to knowledge creation and knowledge transfer. Moving forward, scholars and practitioners should seek to collaborate further in their respective efforts to achieve health equity by creating formalized initiatives with linkages between practice and research communities.

The coronavirus disease 2019 (COVID-19) pandemic highlighted the necessity of practicing Evidence-based Management (EBMgt) as an approach to decision-making in hospital settings. The literature, however, provides limited insight into the process of EBMgt and its contextual nuances. Such insight is critical for better leveraging EBMgt in practice. Therefore, the authors' aim was to integrate the literature on the process of EBMgt in hospital settings, identify the gaps in knowledge and delineate areas for future research.

The authors conducted a systematic scoping review using an innovative methodology that involved two systematic searches. First using EBMgt terminology and second using terminology associated with the EBMgt concept, which the authors derived from the first search.

The authors identified 218 relevant articles, which using content analysis, they mapped onto the grounded model of the EBMgt process; a novel model of the EBMgt process developed by Sahakian and colleagues. The authors found that the English language literature provides limited insight into the role of managers' perceptions and motives in EBMgt, the practice of EBMgt in Global South countries, and the outcomes of EBMgt. Overall, this study’s findings indicated that aspects of the decision-maker, context and outcomes have been neglected in EBMgt.

The authors contributed to the EBMgt literature by identifying these gaps and proposing future research areas and to the systematic review literature by developing a novel scoping review method.

Climate change, poverty and pandemics are some of the complex real-world problems that are increasingly challenging higher education institutions (HEIs) to equip future graduates with meta-competences that have hitherto not been demanded. These graduates need to be able to capture and operate within complex systems and relationships. By focusing on complex real-world problems, this study aims to systematically review competences and frame meta-competences supporting curricula development in HEIs.

This study applies a systematic literature review according to the review protocol of Preferred Reporting Items for Systematic Reviews and Meta-Analyses. The review process resulted in the selection of 39 articles, which were subjected to qualitative synthesis to identify competences for tackling complex real-world problems. These competences were grouped into meta-competences and aligned with the Sustainable Development Goals (SDGs).

Scientific disciplines commonly describe four competences for tackling complex real-world problems including domain-specific competence, inter-relation competence, intrapersonal competence and normative competence.

This study found that inter-relation competence is in line with all the SDGs, which is considered important for tackling complex real-world problems across disciplines.

A study in a survey design across disciplines and a weighting of these competences in respect to complex real-world problems aligned with the SDGs could contribute to a more consolidated and common understanding of the meta-competences identified.