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This paper explores how healthcare administration students perceive the integration of Artificial Intelligence (AI) in healthcare leadership, mainly focusing on the sustainability aspects involved. It aims to identify gaps in current educational curricula and suggests enhancements to better prepare future healthcare professionals for the evolving demands of AI-driven healthcare environments.

This study utilized a cross-sectional survey design to understand healthcare administration students' perceptions regarding integrating AI in healthcare leadership. An online questionnaire, developed from an extensive literature review covering fundamental AI knowledge and its role in sustainable leadership, was distributed to students majoring and minoring in healthcare administration. This methodological approach garnered participation from 62 students, providing insights and perspectives crucial for the study’s objectives.

The research revealed that while a significant majority of healthcare administration students (70%) recognize the potential of AI in fostering sustainable leadership in healthcare, only 30% feel adequately prepared to work in AI-integrated environments. Additionally, students were interested in learning more about AI applications in healthcare and the role of AI in sustainable leadership, underscoring the need for comprehensive AI-focused education in their curriculum.

The research is limited by its focus on a single academic institution, which may not fully represent the diversity of perspectives in healthcare administration.

This study highlights the need for healthcare administration curricula to incorporate AI education, aligning theoretical knowledge with practical applications, to effectively prepare future professionals for the evolving demands of AI-integrated healthcare environments.

This research paper presents insights into healthcare administration students' readiness and perspectives toward AI integration in healthcare leadership, filling a critical gap in understanding the educational needs in the evolving landscape of AI-driven healthcare.

The paper investigates how the engagement of a group of actors (the volunteers), previously unexplored in service ecosystems literature, contributes to generating new co-creation activities and well-being outcomes in the healthcare service ecosystem (HSE). Moreover, the study analyses how the provision and integration of volunteers’ resources help to explain the HSE self-adjustment favouring the re-humanisation of service.

The article zooms in on the volunteers’ activities in an HSE. A qualitative approach is adopted, and an empirical investigation is grounded in data gathered from Kids Kicking Cancer (KKC) Italia, a volunteer association operating in the paediatric oncology ward of Italian hospitals. Data are collected and triangulated through in-depth interviews, volunteers’ diaries and observations. The analysis is conducted by adopting an interpretative thematic analysis technique.

The study provides a conceptual framework explaining how volunteers’ value co-creation activities influence the HSE’s self-adjustment by leading to a re-humanisation of services. The paper also contributes to the state of knowledge by identifying seven categories of volunteers’ value co-creation activities, two of which are completely new in the literature (co-responsibility and empowerment).

The paper contributes to the service research literature by identifying empirically grounded value co-creation activities extending the understanding of self-adjustment and re-humanisation of the service ecosystem.

Workflow optimisation is crucial for establishing a viable acute stroke (AS) intervention programme in a large tertiary care centre. This study aims to utilise Lean Six Sigma (LSS) principles to enhance the hospital's workflow.

The Action Research methodology was used to implement the project and develop the case study. The study took place in a large tertiary care academic hospital in India. The Define-Measure-Analyse-Improve-Control approach optimised the workflow within 6 months. Lean tools such as value stream mapping (VSM), waste audits and Gemba were utilised to identify issues involving various stakeholders in the workflow. Sigma-level calculations were used to compare baseline, improvement and sustainment status. Additionally, statistical techniques were effectively employed to draw meaningful inferences.

LSS tools and techniques can be effectively utilised in large tertiary care hospitals to optimise workflow through a structured approach. Sigma ratings of the processes showed substantial improvement, resulting in a five-fold increase in clinical outcomes. Specifically, there was a 43% improvement in outcome for patients who underwent acute stroke revascularisation. However, certain sigma ratings deteriorated during the control and extended control (sustainment) phases. This indicates that ensuring the sustainability of quality control interventions in healthcare is challenging and requires continuous auditing.

The article presents a single case study deployed in a hospital in India. Thus, the generalisation of outcomes has a significant limitation. Also, the study encounters the challenge of not having a parallel control group, which is a common limitation in quality improvement studies in healthcare. Many studies in healthcare quality improvement, including this one, are limited by minimal data on long-term follow-up and the sustainability of achieved results.

This study pioneers the integration of LSS methodologies in a large Indian tertiary care hospital, specifically targeting AS intervention. It represents the first LSS case study applied in the stroke department of any hospital in India. Whilst most case studies discuss only the positive aspects, this article fills a critical gap by unearthing the challenges of applying LSS in a complex healthcare setting, offering insights into sustainable quality improvement and operational efficiency. This case study contributes to the theoretical understanding of LSS in healthcare. It showcases its real-world impact on patient outcomes and process optimisation.

Healthcare systems receive criticism from both providers and recipients. The diversity in these systems throughout the world makes innovation and change difficult. However, a structured analysis of healthcare systems is crucial to identify areas for improvement and to share best practices for the betterment of healthcare throughout the world.

The paper uses organizational theory as an unbiased tool for evaluating healthcare systems. This theory analyses healthcare systems across five dimensions: environment, culture, social structure, physical structure and technology. This analysis provides an in-depth understanding of the organization's surroundings, formation and function. It offers a lens through which healthcare systems can be envisioned and establishes a vocabulary for communication.

Organizational theory presents a multifaceted approach to initiate assessments aiming to enhance existing healthcare systems and customize them to serve all stakeholders within the focused ecosystem. It alters the dynamics of criticism and presents an opportunity to sustainably address unforeseen healthcare challenges in the future. As the author proceeds to understand healthcare organizations through the perspective of organizational theory, the author also uncovers subtle yet crucial issues such as resource dependence, cultural clashes, organizational silence, bureaucracy, hierarchy, ethics, values, engagement and burnout.

This paper was crafted from a collaborative paper for the final of a master's degree. A collaboration was conceptualized using organisation theory as the tool to align processes and achieve successful outcome. The narrative of the collaboration has been edited and paper presented highlighting the importance of the tool of organisation theory in healthcare systems.

The service environment is becoming increasingly turbulent, leading to calls for a systemic understanding of it as a set of dynamic service ecosystems. This paper advances this understanding by developing a typology of service ecosystem dynamics that explains the varying interplay between change and stability within the service environment through distinct behavioral patterns exhibited by service ecosystems over time.

This study builds upon a systematic literature review of service ecosystems literature and uses system dynamics as a method theory to abductively analyze extant literature and develop a typology of service ecosystem dynamics.

The paper identifies three types of service ecosystem dynamics—behavioral patterns of service ecosystems—and explains how they unfold through self-adjustment processes and changes within different systemic leverage points. The typology of service ecosystem dynamics consists of (1) reproduction (i.e. stable behavioral pattern), (2) reconfiguration (i.e. unstable behavioral pattern) and (3) transition (i.e. disrupting, shifting behavioral pattern).

The typology enables practitioners to gain a deeper understanding of their service environment by discerning the behavioral patterns exhibited by the constituent service ecosystems. This, in turn, supports them in devising more effective strategies for navigating through it.

The paper provides a precise definition of service ecosystem dynamics and shows how the identified three types of dynamics can be used as a lens to empirically examine change and stability in the service environment. It also offers a set of research directions for tackling service research challenges.

Over the last two decades, most organizations have considered technologies to drive digital transformation, and the recent pandemic has brought significant changes in the healthcare sector. Therefore, this study explores the technological nexus in supporting digital transformation as a process to govern the healthcare sector more effectively.

This study uses quantitative and qualitative methods to analyse the impact of ArogyaSetu (a health and wellness app) on India’s digital transformation process. The study involves 212 responses to understand how the app enables digital transformation and its impact on governance, healthcare systems and stakeholders. Additionally, 31 semi-structured interviews were conducted to validate the quantitative study’s findings.

Referring quantitative part of research design, ArogyaSetu has had a positive impact on the digital transformation of India’s healthcare industry, which has in turn affected stakeholders and improved governance. Moreover, qualitative findings suggest that a governance system like ArogyaSetu can aid in the development of dynamic capabilities within the healthcare system and governance.

This study adds to our understanding of the digital transformation of healthcare by examining it through the lens of dynamic capability. In this framework, “sense” refers to the stakeholders, “seize” the healthcare system and “transform” governance. The study also provides practical implications for managers, academics and government administrators responsible for digital healthcare transformation.

As part of a national plan to govern professional and organizational development in Norwegian specialist healthcare, the country’s hospital clinics are tasked with constructing development plans. Using the development plan as a case, the paper analyzes how managers navigate and legitimize the planning process among central actors and deals with the contingency of decisions in such strategy work.

This study applies a qualitative research design using a case study method. The material consists of public documents, observations and single interviews, covering the process of constructing a development plan at the clinical level.

The findings suggest that the development plan was shaped through a multilevel translation process consisting of different contending rationalities. At the clinical level, the management had difficulties in legitimizing the process. The underlying tension between top-down and bottom-up steering challenged involvement and made it difficult to manage the contingency of decisions.

The findings are relevant to public sector managers working on strategy documents and policymakers identifying challenges that might hinder the fulfillment of political intentions.

This paper draws on a case from Norway; however, the findings are of general interest. The study contributes to the academic discussion on how to consider both the health authorities’ perspective and the organizational perspective to understand the manager’s role in handling the contingency of decisions and managing paradoxes in the decision-making process.

The paper aims to address the gap in literature on effective disaster governance in Southeast Asia, with a focus on COVID-19 management in Malaysia. It explores the intersection of localized hazard understandings, disaster governance and policy implications, emphasizing systemic vulnerability, resilience enhancement and improving risk communication and resource management. The goal is to offer insights and frameworks for policymakers, researchers and practitioners to navigate disaster governance complexities in Southeast Asia, marked by unique challenges and vulnerabilities.

The study employs an analytical descriptive methodology, involving a comprehensive literature review of academic articles, official reports and case studies related to disaster governance in Malaysia. It focuses on evaluating Malaysia's disaster governance's adaptability, inclusivity and coordination, considering policy implementation, stakeholder engagement and resource allocation. This approach facilitates a detailed analysis of the effectiveness of Malaysia's strategies in integrating environmental and health disaster management systems.

The findings reveal that Malaysia's disaster governance, particularly during COVID-19, has been challenged by the need for rapid adaptation and coordination. While early lockdowns and a robust vaccination program were effective, they also highlighted issues in healthcare system capacity and socioeconomic impacts. The study emphasizes the importance of integrated, resilient disaster management strategies that consider public health, environmental risks and socio-economic factors. It underscores the need for improved stakeholder collaboration, infrastructure resilience and climate change mitigation in disaster governance.

The research is limited by a lack of specific data on Malaysia's unique socio-cultural, economic and political dynamics in disaster response. This gap hinders the development of nuanced, context-specific policies and practices for effective disaster governance, emphasizing the need for more region-focused studies.

The study highlights the need for Malaysia to develop more resilient, integrated disaster governance frameworks, emphasizing local community empowerment, sustainable infrastructure and climate change mitigation. It calls for enhanced regional cooperation in Southeast Asia for effective disaster preparedness and response.

The research suggests that disaster governance should prioritize social resilience and inclusivity, addressing the varying impacts on different societal segments. Emphasis on mental health, community engagement and equitable resource distribution is vital for comprehensive disaster management and societal well-being in Southeast Asia.

This paper uniquely contributes to the understanding of disaster governance in Southeast Asia by combining empirical research and systematic reviews focused on Malaysia. It offers a novel perspective on integrating environmental and health disaster management, highlighting systemic vulnerabilities and resilience strategies. The study's value lies in its emphasis on the region's unique challenges, providing valuable insights for policymakers, researchers and practitioners in developing effective, context-specific disaster governance frameworks in Southeast Asia.

In this viewpoint article, the authors recognize the increased focus in health systems on co-design for innovation and change. This article explores the role of leaders and mangers in developing and enhancing a culture of trust in their organizations to enable co-design, with the potential to drive innovation and change in healthcare.

Using social science analyses, the authors argue that current co-design literature has limited focus on interactions between senior leaders and managers, and healthcare staff and service users in supporting co-designed innovation and change. The authors draw on social and health science studies of trust to highlight how the value-based co-design process needs to be supported and enhanced. We outline what co-design innovation and change involve in a health system, conceptualize trust and reflect on its importance within the health system, and finally note the role of senior leaders and managers in supporting trust and responsiveness for co-designed innovation and change.

Healthcare needs leaders and managers to embrace co-design that drives innovation now and in the future through people – leading to better healthcare for society at large. As authors we argue that it is now the time to shift our focus on the role of senior managers and leaders to embed co-design into health and social care structures, through creating and nurturing a culture of trust.

Building public trust in the health system and interpersonal trust within the health system is an ongoing process that relies upon personal behavior of managers and senior leaders, organizational practices within the system, as well as political processes that underpin these practices. By implementing managerial, leadership and individual practices on all levels, senior managers and leaders provide a mechanism to increase both trust and responsiveness for co-design that supports innovation and change in the health system.

This study assesses the SDG-related well-being of indigenous communities in India using bibliometric analysis and the ADO-TCM framework. It provides insights into their alignment with sustainable development objectives.

This study analysed 74 high-impact journals using bibliometric analysis to evaluate the well-being of India’s indigenous peoples about the SDGs.

This study analyses the well-being of tribal communities in India using existing scholarly articles and the ADO-TCM framework. It emphasises the importance of implementing Sustainable Development Goals (SDGs) to promote the well-being of indigenous populations.

This study uses bibliometric analysis and the ADO-TCM framework to investigate factors impacting tribal community welfare. It proposes theoretical frameworks, contextual considerations and research methodologies to achieve objectives.