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Research has established the prevalence and relevance of moral injury in healthcare workers, though less attention has been paid to the different classes of potentially morally injurious events (PMIEs) experienced by this population and their impact. This exploratory study sought to examine the frequency of self- and other-generated PMIE classes and their associations with demographic characteristics and well-being outcomes among mental healthcare staff.

Secondary analysis of data drawn from two cross-sectional surveys of 267 frontline and leadership staff from mental healthcare settings in the UK was conducted. Responses on the Moral Injury Events Scale and the Short Professional Quality of Life Scale were extracted for analysis.

Betrayal by others was most frequently endorsed (61.8%), whilst self-transgressions were least frequently reported (25.5%). After controlling for the number of PMIE classes experienced, betrayal significantly predicted secondary traumatic stress (p = 0.01) and burnout (p = 0.04). Additionally, other transgressions significantly predicted secondary traumatic stress (p = 0.008). The predictive effects of self-transgressions on burnout, secondary traumatic stress and compassion satisfaction were all nonsignificant after controlling for the number of PMIE classes experienced.

Findings highlight differences in the frequency and impact of self and other PMIEs experienced by healthcare professionals. Reducing cumulative exposure to differential PMIE classes appears to be of critical importance to improving occupational well-being in this group.

To our knowledge, this study is the first to explore the associations between PMIE classes and occupational well-being in a mental healthcare population, inclusive of frontline and leadership staff.

The present research paper aims to examine the inter-relationship between organizational justice (Henceforth termed as OJ), psychological well-being at work (henceforth termed as PWBW) and organizational citizenship behavior (henceforth termed as OCB). More specifically, this paper attempts to critically analyze the mediating role of PWBW in the relationship between OJ and OCB. The study solely focuses on nurses working at private hospitals in Kerala, who are the largest group of healthcare personnel.

Data collected from 308 nursing employees were analyzed by using statistical package for the social sciences (SPSS) software.

The outcomes of the analysis demonstrate that significant correlations exist between all the three key variables and their dimensions. Moreover, it has been found that the relationship between OJ and OCB is partially mediated by PWBW.

In the present healthcare scenario, just after the Covid-19 pandemic, there is a paramount need for the well-being of healthcare staff in order to improve the functioning of the healthcare system.

The study enabled us to develop and provide an explanation as to how social exchange relationship works between OJ and OCB.

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.

High performance work systems can be used to improve the skills and abilities of customer-facing roles in the healthcare system.

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.

Digital healthcare manages to grab considerable attention from people and practitioners to avoid severity and provide quick access to healthcare. Entrepreneurs also adopt the digital healthcare segment as an opportunity; nevertheless, their intentions to participate and encourage innovation in this growing sector are unexplored. Drawing upon the social capital theory and health belief model, the study examines the factors that drive entrepreneurship. A novel model is proposed to comprehend entrepreneurial intentions and behavior entrenched in social capital and other encouraging and dissuading perceptive elements with the moderation of trust in digitalization and entrepreneurial efficacy.

The cross-sectional method is used to collect data through a questionnaire from experienced respondents in China. The valid data comprises 280 respondents, analyzed by partial least square structural equation modeling.

Social capital significantly influences monetary attitude, and perceived risk and holds an inconsequential association with perceived usefulness, whereas monetary attitude and perceived usefulness meaningfully explain entrepreneurial activities. Perceived risk has a trivial impact on entrepreneurial intention. Entrepreneurial efficacy and trust in digitalization significantly explain entrepreneurial behavior and moderate the positive relationship between intention and behavior.

The present research proposes a novel research model in the context of entrepreneurship rooted in a digitalized world and offering new correlates. It provides valuable insights by exploring entrepreneurial motivation and deterring factors to get involved in startup activities entrenched in social capital, providing guidelines for policymakers and practitioners to promote entrepreneurship.

This paper aims to explore the intricate relationship between artificial intelligence (AI) and health information literacy (HIL), examining the rise of AI in health care, the intersection of AI and HIL and the imperative for promoting AI literacy and integrating it with HIL. By fostering collaboration, education and innovation, stakeholders can navigate the evolving health-care ecosystem with confidence and agency, ultimately improving health-care delivery and outcomes for all.

This paper adopts a conceptual approach to explore the intricate relationship between AI and HIL, aiming to provide guidance for health-care professionals navigating the evolving landscape of AI-driven health-care delivery. The methodology used in this paper involves a synthesis of existing literature, theoretical analysis and conceptual modeling to develop insights and recommendations regarding the integration of AI literacy with HIL.

Impact of AI on health-care delivery: The integration of AI technologies in health-care is reshaping the industry, offering unparalleled opportunities for improving patient care, optimizing clinical workflows and advancing medical research. Significance of HIL: HIL, encompassing the ability to access, understand and critically evaluate health information, is crucial in the context of AI-driven health-care delivery. It empowers health-care professionals, patients and the broader community to make informed decisions about their health and well-being. Intersection of AI and HIL: The convergence of AI and HIL represents a critical juncture, where technological innovation intersects with human cognition. AI technologies have the potential to revolutionize how health information is generated, disseminated and interpreted, necessitating a deeper understanding of their implications for HIL. Challenges and opportunities: While AI holds tremendous promise for enhancing health-care outcomes, it also introduces new challenges and complexities for individuals navigating the vast landscape of health information. Issues such as algorithmic bias, transparency and accountability pose ethical dilemmas that impact individuals’ ability to critically evaluate and interpret AI-generated health information. Recommendations for health-care professionals: Health-care professionals are encouraged to adopt strategies such as staying informed about developments in AI, continuous education and training in AI literacy, fostering interdisciplinary collaboration and advocating for policies that promote ethical AI practices.

To enhance AI literacy and integrate it with HIL, health-care professionals are encouraged to adopt several key strategies. First, staying abreast of developments in AI technologies and their applications in health care is essential. This entails actively engaging with conferences, workshops and publications focused on AI in health care and participating in professional networks dedicated to AI and health-care innovation. Second, continuous education and training are paramount for developing critical thinking skills and ethical awareness in evaluating AI-driven health information (Alowais et al., 2023). Health-care organizations should provide opportunities for ongoing professional development in AI literacy, including workshops, online courses and simulation exercises focused on AI applications in clinical practice and research.

This paper lies in its exploration of the intersection between AI and HIL, offering insights into the evolving health-care landscape. It innovatively synthesizes existing literature, proposes strategies for integrating AI literacy with HIL and provides guidance for health-care professionals to navigate the complexities of AI-driven health-care delivery. By addressing the transformative potential of AI while emphasizing the importance of promoting critical thinking skills and ethical awareness, this paper contributes to advancing understanding in the field and promoting informed decision-making in an increasingly digital health-care environment.

This study aims to propose a double-mediation effect of organizational justice and affective commitment (AC) through which responsible leadership (RL) influences to reduce turnover intention (TI).

The association between responsible leadership and TI, as well as the double-mediating effect of organizational justice and AC, was investigated using an integrated model. Structural equation modeling and Process Macro were used to validate the hypothesized correlations by analyzing the responses of 391 employees working in the Indian health-care sector.

The outcomes revealed a significant positive association between responsible leadership, organizational justice and AC, as well as a negative association between organizational justice, AC and TI. Moreover, the findings verified the association between responsible leadership and TI.

This study explored the double-mediating impact of organizational justice and AC on the association between responsible leadership and TI. It also supports the expert in guiding and performing the policy review as an outcome of this relationship.

The primary theoretical contribution of this study is to examine the relationship between RL and TI. This study examined the role of organizational justice (OJ) and AC as double mediators in the relationship between RL and TIs. Moreover, it has significant effects on the development of literature about RL, OJ, AC and TI.

The study aims to explore how including biophilic elements in the architectural and interior design of assisted living facilities can improve the well-being and quality of life of older people. This research paper explores the concept of biophilic design and its potential benefits for assisted living facilities.

A total of 39 peer-reviewed articles were reviewed. The research involved a comprehensive review of databases such as Scopus, EBSCO, Elsevier, JSTOR and Google Scholar using keywords and Boolean operators with reference to the study. The study’s inclusion criteria for articles were restricted to academic articles published between 2013 and 2022. The analysis of the current research will offer insights into the concept of biophilic design research and its impact on the well-being and quality of life of baby boomers in assisted living facilities.

The research advocates the benefits of biophilic design to enhance the psychological well-being and quality of life of baby boomers dwelling in assisted living facilities. Biophilic design is a strategy that blends natural elements into built environments to improve our connection with nature to enhance the physical and psychological health of older people. In the context of assisted living facilities, where residents commonly experience a variety of physical and psychological health concerns, adopting biophilic design in architecture holds enormous promise.

The research focuses on applying biophilic design in assisted living facilities and its holistic approach to the overall well-being of older people. The conceptual model proposed in the study has defined the positive aspects of the biophilic design on the psychological and physiological health of older people. Few studies have been done on the impact of biophilic design, specifically on baby boomers.

This scoping review article aimed to systematically search the literature on the use, purpose and barriers of information and communication technology (ICT) for culturally and linguistically diverse (CALD) older adults in the host country. The review also conducted a search for literature on programs that aim to develop digital literacy skills for CALD older adults.

A scoping review approach was utilized to identify and search the available literature, and to map the key concepts. A total of 23 relevant articles were included following a systematic search across seven databases.

The review suggests that CALD older adults use ICT for various purposes, including social interaction, health management, information gathering, immigration, everyday routines and leisure. The barriers faced by these older adults in using ICT encompass fear and limited knowledge, language issues, lack of interest, limited access to technology and health concerns. The existing training programs focus on enhancing self-efficacy and confidence and promoting attitudinal changes toward ICT.

Despite the presence of empirical studies, few scoping or systematic reviews have focused on CALD older adults and technology. Research developments related to the technology use of CALD older adults and associated training programs have been fragmented and sporadic, resulting in gaps in the evidence base. This review fills such a gap to better understand the research status connected to CALD older people’s technology adoption and use.

In this study, to empirically test the relationship between ethical organizational climate, inner life (IL) and life satisfaction (LS) of employees, a field study was conducted on white-collar personnel working in the service sector in the Istanbul region. The main purpose was to extract an approach that could be applied to simultaneously boost LS and customer orientation for effective service delivery by organizations.

A two-wave time-lagged survey design was used to collect the data over a period of three months. Two sets of self-administrated survey questionnaires were developed for both waves, containing the details of the study and items for measuring variables. The questionnaires were developed in such a manner that the anonymity of the respondents and ethical considerations remained intact. In the first wave, data were collected for two variables, i.e. organizational ethical climate and IL. The measurement scale for organizational ethical climate was adapted from the study of DeBode et al. (2013) and for IL from the study of Fry et al. (2017). In the second wave, data on the remaining two variables (LS and organizational customer orientation) were collected. Direct effects and indirect effects in the hypotheses were tested by structural equation modeling (SEM).

This study has found that the organizational ethical climate strengthens the inner lives of employees, which is vital for the organizations from two angles: one, strong IL of an employee enhances his/her own LS and two, stronger IL accentuates customer orientation.

The fact that the context of this study is limited to Turkey and that the participants are selected from among white-collar personnel working in the service sector reduces the representativeness of the research result. In this sense, in the next stages, the model of the research can be retested in different industries or cross-cultural studies can be designed by comparing the study results with samples from different geographies, so that the validity of these relations for different cultures can be seen.

The implications of this study revealed that employees will enjoy their lives more when authorities in organizations adopt organizational policies supporting the inner lives of employees, feel respect for their private areas and make the organizational climate more ethical. Hence, with practices such as workplace spirituality or spiritual leadership that support the inner lives of employees, the motivation and satisfaction of employees can be increased.

This study revealed that inner life strength makes people comparative more ethical in their dealings, which gives them a sense of achievement and enhances work meaningfulness, boosting LS and customer-orientation. The findings of this study are vital for leaders, as they can achieve a conjoint elevation of the LS of their employees and enhance customer orientation for higher organizational performance.

This study is original in emphasizing the positive effect of spiritually powerful inner-life customer-orientedness in employees with empirical proof.

This paper aims to establish an efficient maintenance management system tailored for healthcare facilities, recognizing the crucial role of medical equipment in providing timely and precise patient care.

The system is designed to function both as an information portal and a decision-support system. A knowledge-based approach is adopted centered on Semantic Web Technologies (SWTs), leveraging a customized ontology model for healthcare facilities’ knowledge capitalization. Semantic Web Rule Language (SWRL) is integrated to address decision-support aspects, including equipment criticality assessment, maintenance strategies selection and contracting policies assignment. Additionally, Semantic Query-enhanced Web Rule Language (SQWRL) is incorporated to streamline the retrieval of decision-support outcomes and other useful information from the system’s knowledge base. A real-life case study conducted at the University Hospital Center of Oran (Algeria) illustrates the applicability and effectiveness of the proposed approach.

Case study results reveal that 40% of processed equipment is highly critical, 40% is of medium criticality, and 20% is of negligible criticality. The system demonstrates significant efficacy in determining optimal maintenance strategies and contracting policies for the equipment, leveraging combined knowledge and data-driven inference. Overall, SWTs showcases substantial potential in addressing maintenance management challenges within healthcare facilities.

An innovative model for healthcare equipment maintenance management is introduced, incorporating ontology, SWRL and SQWRL, and providing efficient data integration, coordinated workflows and data-driven context-aware decisions, while maintaining optimal flexibility and cross-departmental interoperability, which gives it substantial potential for further development.