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Stakeholder management is not yet incorporated into the standard practice of most healthcare providers. The purpose of this paper is to assess the applicability of a comprehensive model for stakeholder management in mental healthcare organization for more evidence-based (stakeholder) management.

The assessment was performed in two research parts: the steps described in the model were executed in a single case study at a mental healthcare organization in the Netherlands; and a process and effect evaluation was done to find the supporting and impeding factors with regard to the applicability of the model. Interviews were held with managers and directors to evaluate the effectiveness of the model with a view to stakeholder management.

The stakeholder analysis resulted in the identification of eight stakeholder groups. Different expectations were identified for each of these groups. The analysis on performance gaps revealed that stakeholders generally find the collaboration with a mental healthcare provider “sufficient.” Finally a prioritization showed that five stakeholder groups were seen as “definite” stakeholders by the organization.

The assessment of the model showed that it generated useful knowledge for more evidence-based (stakeholder) management. Adaptation of the model is needed to increase its feasibility in practice.

Provided that the model is properly adapted for the specific field, the analysis can provide more knowledge on stakeholders and can help integrate stakeholder management as a comprehensive process in policy planning.

Blockchain technology enhances information management in healthcare supply chains by securing healthcare information and providing medical resource traceability. However, there is no decision framework to support blockchain implementation for managing information, especially in emerging economies’ healthcare supply chains. This paper develops a hierarchical decision model for implementing blockchain technology for information management in emerging economies’ healthcare supply chains.

This study uses 20 health supply chain experts in Ghana to rank 17 decision criteria for implementing blockchain for healthcare information management using the best-worst method (BWM) multi-criteria decision technique.

The results show that “security” and “privacy,” “infrastructural facility” and “presence of training facilities” are the top three critical factors impacting blockchain adoption in the health supply chain for healthcare information management. Other sub-factors are prioritized.

To implement blockchain effectively to enhance information management in the healthcare supply chain, health institutions, blockchain technology providers and state authorities should concentrate on the highly critical factors extracted from the study.

This is the first study that develops a hierarchical decision model for implementing blockchain technology in emerging economies' health supply chains.

Lean Six Sigma (LSS) implementation follows a structured approach called define-measure-analyze-improve-control (DMAIC). Earlier research about its application in emergency healthcare services shows that it requires organizational transformation, which many healthcare setups find difficult. The Kotter change management model facilitates organizational transformation but has not been attempted in LSS settings till now. This study aims to integrate the LSS framework with the Kotter change management model to come up with an integrated framework that will facilitate LSS deployment in emergency health services.

Two-stage Delphi method was conducted by using a literature review. First, the success factors and barriers of LSS are investigated, especially from an emergency healthcare point of view. The features and benefits of Kotter's change management models are then reviewed. Subsequently, they are integrated to form a framework specific to LSS deployment in an emergency healthcare set-up. The elements of this framework are analyzed using expert opinion ratings. A new framework for LSS deployment in emergency healthcare has been developed, which can prevent failures due to challenges faced by organizations in overcoming resistance to changes.

The eight steps of the Kotter model such as establishing a sense of urgency, forming a powerful guiding coalition, creating a vision, communicating the vision, empowering others to act on the vision, planning for and creating short-term wins, consolidating improvements and producing still more change, institutionalizing new approaches are derived from the eight common errors that managers make while implementing change in the institution. The study integrated LSS principles and Kotter’s change management model to apply in emergency care units in order to reduce waste and raise the level of service quality provided by healthcare companies.

The present study could contribute knowledge to the literature by providing a framework to integrate lean management and Kotter's change management model for the emergency care unit of the healthcare organization. This framework guides decision-makers and organizations as proper strategies are required for applying lean management practices in any system.

The proposed framework is unique and no other study has prescribed any integrated framework for LSS implementation in emergency healthcare that overcomes resistance to change.

The purpose of this paper is to examine whether healthcare leaders use evidence-based management (EBMgt) when facing major decisions and what types of evidence healthcare administrators consult during their decision-making. This study also intends to identify any relationship that might exist among adoption of EBMgt in healthcare management, attitudes towards EBMgt, demographic characteristics and organizational characteristics.

A cross-sectional study was conducted among US healthcare leaders. Spearman’s correlation and logistic regression were performed using the Statistical Package for the Social Sciences (SPSS) 23.0.

One hundred and fifty-four healthcare leaders completed the survey. The study results indicated that 90 per cent of the participants self-reported having used an EBMgt approach for decision-making. Professional experiences (87 per cent), organizational data (84 per cent) and stakeholders’ values (63 per cent) were the top three types of evidence consulted daily and weekly for decision-making. Case study (75 per cent) and scientific research findings (75 per cent) were the top two types of evidence consulted monthly or less than once a month. An exploratory, stepwise logistic regression model correctly classified 75.3 per cent of all observations for a dichotomous “use of EBMgt” response variable using three independent variables: attitude towards EBMgt, number of employees in the organization and the job position. Spearman’s correlation indicated statistically significant relationships between healthcare leaders’ use of EBMgt and healthcare organization bed size (r_s = 0.217, n = 152, p < 0.01), attitude towards EBMgt (r_s = 0.517, n = 152, p < 0.01), and the number of organization employees (r_s = 0.195, n = 152, p = 0.016).

This study generated new research findings on the practice of EBMgt in US healthcare administration decision-making.

The purpose of this paper is to examine the causal linkages among supply chain practices, effectiveness of supply chain performance (SCP) and organizational performance (OP) in Indian healthcare industries.

This paper is helpful in developing a framework for linking a healthcare supply chain practice to its OP, and thus identifies how such a linkage can be connected to the effectiveness of SCP. Such effort also enables the authors to derive a set of recommended supply chain practices for SC performance.

From the literature review, this paper finds that, in the context of Indian healthcare industries, efficient SC performance may play a critical role for overall OP improvement, as there is a close interrelationship between supply chain management (SCM) practices and SCP that may have a more significant effect on OP improvement.

The principle limitation of the paper is that it is performed only in a particular industry and with a questionnaire survey which could be extended in future for other industries also. Another limitation of the paper is that it is focused only on the SCP of medical device and equipment supply chain which is a small portion of the whole healthcare supply chain, and therefore requires further research covering various other domains of healthcare supply chain. Another limitation of the study is that the sample survey has been taken from only one respondent per company at one point of time which may create biasness in the results. Thus, future research should collect data through multiple members from the organization.

This study contributes to know the effect of SCM practices on healthcare SCP and provides a practical and useful tool to evaluate the extent of effectiveness of SCP and finally their impact on the healthcare OP. Finally, this study provides conceptual and descriptive literature regarding SCM practices that leads to improvement in healthcare performance.

This study adds to the knowledge on healthcare SCM performance by exploring the relationship between supply chain practices, healthcare SCP and healthcare OP and by developing and testing a research framework thus help in improving patient satisfaction.

This study attempts to show how the potential benefits of supply chain practices can no longer be ignored in healthcare supply chain.

Healthcare management efficiency has become a golden goal in the operations of modern healthcare organisations across zones and cultures. This study aims to investigate five dimensions of Ouchi’s theory Z approach, mutual organisational trust, long-term employment/job security, employee participatory decision-making, employee well-being and generalised career path, concerning healthcare efficiency in government tertiary hospitals during COVID-19 period.

The probability sampling strategy was adopted among 300 participants of the hospitals in the healthcare workforce of the study population. The study adopted multiple scales on the identified variables of theory Z and employed principal component analysis to evaluate the components of Ouchi’s Theory Z in relation to healthcare efficiency among the workforce of tertiary hospitals in Lagos State, Nigeria.

The outcome of this study shows that all the dimensions were significantly related to healthcare efficiency in the study hospitals. It depicts that mutual trust among employees has a positive influence on the efficiency of healthcare management in government tertiary hospitals, and long-term employment opportunity has a significant impact on the efficiency of healthcare management in government tertiary hospitals. Employee participatory decision-making is essential to the efficiency of healthcare management in government tertiary hospitals. Employee well-being is fundamental to the efficiency of healthcare management in government tertiary hospitals. Generalised career path of healthcare personnel has a tremendous impact on the efficiency of healthcare management in government tertiary hospitals.

This study is limited to healthcare employees in Lagos State, Nigeria. The implication is that as old as Ouchi’s theory, its relevance remains green in the heart of contemporary organisations today even in healthcare facilities in Nigeria which aids the management of the global pandemic, COVID-19 outbreak.

The study shows that Ouchi’s theory Z approach that combines the Japanese and American patterns of organisational management is highly relevant in the operations and management of government hospitals in Nigeria to date even in the era of COVID-19, the global pandemic season.

The purpose of this paper is to explore the drivers of healthcare waste management from literature review and field survey and model these drivers for understanding the inter-relationships among the drivers to enhance healthcare waste management in the Indian context.

In view of the need of the study, the interpretive structural modelling (ISM) method has been applied to model the drivers. The ISM method helps in depicting the relationships among the drivers and filtration of drivers on the basis of their driving and dependence power.

The findings of the study reveal that the type of a healthcare facility and its management structure, size of a healthcare facility, human resource management of a healthcare facility, healthcare facility’s management monitoring and control, and the effective re-enforcement of government regulation and policy implementation in a healthcare facility play a vital role in the enhancement of HCWM.

The application of the findings of this study would enhance the hospital’s waste management by ultimately leading to a good ambience and satisfied patients and personnels. Additionally, the study would aid in the policy formulation by government and decision making of medical facilities, thereby strengthening HCWM scenario in the country.

The drivers filtered in this study would be useful for ranking the hospitals’ healthcare waste management in a region/country. This ranking may play a vital role in earmarking the hospitals which are managing their healthcare waste according to the guidelines of Central Pollution Control Board (CPCB) and Ministry of Environment and Forest (MoEF) of a country. With the help of this study, the problem of inadequate human resource can be effectively addressed for CPCB and MoEF, in India.

Healthcare waste management is a vital issue which needs attention from the management perspective in India. Therefore, an interpretive structural model, i.e. ISM digraph, has been developed which would help in the filtration of drivers and attaining the better healthcare waste management in an economically and timely manner.

Following increases in national demands on healthcare facilities and services, healthcare facilities management (FM) has gradually matured to become an established research and development topic. This paper reviews the state of the art in the main domains related to healthcare FM and defines the central themes in the development of a healthcare FM model. FM, maintenance management and performance management are reviewed in a wider context, and the main domains of healthcare FM are discussed. The five salient topics included in healthcare FM are maintenance management, performance management, risk management, supply services management, and development. These five core domains are interrelated, and can be integrated using information and communications technology, which provides the desired environment required for the challenging decision making and development prevalent in healthcare FM.

The purpose of this paper is to outline a framework for analyzing healthcare process management projects. By using this framework, it seeks to analyze a system implementation in Ireland. The system aims to standardize healthcare human resource and payroll for the Irish healthcare sector.

A popular system and business process implementation is analyzed in Ireland. The research intends to use this case scenario to identify success and failure, which in turn forms the basis to propose a conceptual reference method for introducing healthcare process management.

The healthcare sector has shown that it has, compared with other sectors, a relatively underdeveloped information system structure. In this context, the importance of reducing healthcare costs and streamlining workflows, processes, and care pathways is ever more seriously recognized. However, despite the importance of process management, currently, internationally very few guidelines are provided for introducing healthcare process management in hospitals.

The paper provides a good example of a large‐scale, nation‐wide business process management (BPM) project; shows the different facets of BPM success factors; and helps to raise awareness for both managerial factors and domain‐inherent, structural, and content factors.

The analysis revealed some interesting results. The reasons for failure in healthcare are rather more content and structural in nature than solely project management issues.