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To remain sustainable, open source software (OSS) projects must attract new members—or newcomers—who make contributions. In this paper, the authors develop a set of hypotheses based on the knowledge barriers framework that examines how OSS communities can encourage contributions from newcomers.

Employing longitudinal data from the source code repositories of 232 OSS projects over a two-year period, the authors employ a Poisson-based mixed model to test how community characteristics, such as the main drivers of knowledge-based costs, relate to newcomers' contributions.

The results indicate that community characteristics, such as programming language choice, documentation effort and code structure instability, are the main drivers of knowledge-based contribution costs. The findings also suggest that managing these costs can result in more inclusive OSS communities, as evidenced by the number of contributing newcomers; the authors highlight the importance of maintaining documentation efforts for OSS communities.

This paper assumes that motivational factors are a necessary but insufficient condition for newcomer participation in OSS projects and that the cost to participation should be considered. Using the knowledge barriers framework, this paper identifies the main knowledge-based costs that hinder newcomer participation. To the best of the authors' knowledge, this is the first empirical study that does not limit data collection to a single hosting platform (e.g., SourceForge), which improves the generalizability of the findings.

The current research elucidates the role of empathy in design of artificial intelligence (AI) systems in healthcare context, through a structured literature review, analysis and synthesis of academic literature published between 1990 and 2024.

This study aims to advance the domain of empathy in AI by adopting theory constructs context method approach using the PRISMA 2020 framework.

The study presents a current state-of-the-art literature to review the connections between empathy and AI and identifying four clusters showing the emerging trajectories in the field of AI and empathy in healthcare setting.

Despite a rise in empirical research, the potential pathways enhancing AI accountability by incorporation of empathy is unclear. The research aims to contribute to the existing literature on AI and empathy in the healthcare sector by carving out four distinct clusters depicting the future research avenues.

This study aims to report on the feasibility, acceptability and outcomes of a peer support program designed to promote social participation for adults with serious mental illness (SMI) in China.

The authors used a community-based participatory research approach to adapt and test a six-month, culturally responsive peer program with 68 participants. Peer supporters were trained and supervised in Guangzhou, China. Peer workers were hired via a competitive process and completed both classroom and field training. Study participants were offered individual and group socialization activities. Participants completed measures on recovery, quality of life, functioning and symptoms at three time points (pre-, post- and follow-up).

Nearly 90% of participants expressed satisfaction with their peer supporters and the frequency of services. Findings showed a significant increasing trend for the social relationships domain of quality of life from baseline to follow-up. Female participants reported significantly increased recovery from pre to post and increased psychological quality of life pre-follow-up as compared to their male counterparts. Supervision logs documented positive gains from participants such as increased help-seeking, improved social skills, enhanced emotion regulation and self-confidence and established routine, alongside challenges like inconsistent engagement, low service incentives and an overreliance on social workers. Peer supporters also reported concerns about their own lack of skills and in navigating relationships between participants and their family members.

Peer interventions have been well studied in Western countries but underexplored in China. This research addresses this gap by presenting a peer program aimed at enhancing the social participation of Chinese with SMI.

This paper systematically reviews and scrutinises the current development of studies concerning digital platform use in firms’ internationalisation. It also provides a research agenda for future work. Despite more than two decades of research, the study of how traditional firms enter foreign markets using digital platforms remains in its infancy. This paper contributes insights into the academic and managerial relevance of this field.

A systematic review of the literature based on content analysis was undertaken, drawing from peer-reviewed journal articles in international business, international marketing, information systems, and electronic commerce. The articles were published between 1999 and 2023, and the review employed a vote-counting method.

This analysis of 61 papers indicates that research on digital platform use in firms’ internationalisation is growing rapidly. However, the field itself is fragmented, and the research findings are inconsistent. This dynamic area reflects a growing trend, is dominated by several theories, relies primarily on survey data, and frequently uses China as a research context.

In acknowledging the vibrancy and managerial importance of this field, the authors offer a comprehensive overview of the existing studies to serve as a repository of knowledge on digital platform use in internationalisation for both academics and practitioners. Based on the aforementioned analysis, this study develops a reconciling framework to address current research gaps and identify future study directions.

The optimization of product innovation performance (PIP) is paramount to achieving sustained profitability in the face of current organizational challenges. In this study, as researchers, the authors investigate within the context of Saudi Arabian manufacturing firms’ entrepreneurial orientation (EO) direct impact on PIP and its indirect influence mediated by strategic human resource management (SHRM) and technology capability (TC).

This co-relational study used cross-sectional data. The authors collected the data from the manufacturing firms’ top management team, chief executive officers and other staff members, including human resource (HR) managers and chief information officers. This study’s conclusions are based on 307 cases.

Using SmartPLS4, this study’s findings demonstrate that EO exerts a positive and significant impact on SHRM, PIP and TC. SHRM has a positive and significant effect on PIP. In addition, TC is a positive and significant predictor of SHRM but not PIP. Turning to the mediating impacts, SHRM plays a positive mediating role between TC and PIP and a negative role between EO and PIP. Finally, TC reinforces the negative connections between EO and PIP.

This study's insights offer valuable guidance to firms and policymakers. They underscore the importance of investing in TC to reinforce SHRM and drive innovation. Moreover, these findings emphasize the need for firms to adopt a dynamic approach that comprises continuous monitoring, adaptation and tailored HR strategies supported by performance metrics. This proactive stance ensures that innovation remains a consistent and impactful element of their long-term strategy.

This study stands out by addressing existing gaps through its innovative integration of EO, SHRM, TC and PIP within a unified framework. It does so within the specific context of Saudi Arabian manufacturing firms and provides a unique and contextually relevant perspective that contributes to the knowledge body of the area.

Effective voice behavior in healthcare workers is critical for patient safety, quality improvement and workforce well-being. A review of the literature on voice behavior in healthcare highlights that little is known about the voice behaviors of new graduates in allied health and that current theory, from medical and nursing research, does not adequately apply to this sector. New knowledge about voice behavior for this sector of the workforce will support education and healthcare institutions in building and sustaining a healthy voice behavior culture.

This paper reports on phase two of a two-phase study looking at the voice behavior experiences of new allied health graduates over one year. Using a realist perspective and narrative analysis, we uncover and illustrate what works, with whom and under what conditions.

Four synthesized narratives outline the contexts and mechanisms that result in different voice behavior outcomes – speaking up effectively, speaking up with unmet expectations, not speaking up and a reduction in speaking up over time. Experiences of positive interprofessional collaboration and reflective supervision supported effective voice behavior.

This study used a case study approach, focusing on healthcare providers within a large New Zealand city and a cohort of 10 participants. Some researchers argue that small numbers limit the generalization of findings to different populations. Realists argue that, given the way in which knowledge is developed using realist methodologies, the resultant theory is portable. Interviews were conducted online during the COVID-19 pandemic. This may have impacted the connection between the interviewer and interviewee, causing the interviewees to not express their true thoughts. However, the interviewer did take time to connect with the interviewees and build trust over the three interviews over one year. Participants did not capture the diversity in the allied health workforce – most identified as female and none identified as Māori/Indigenous. And finally, participants could inhibit or exaggerate information due to the influence of social desirability. This does not appear to be a significant limitation in this study, given the many examples shared by the participants highlighted their challenges.

This study provides an in-depth exploration of how new graduates in allied health experience speaking up. Our findings enrich the knowledge of speaking up by using synthesized narratives to provide insights into what factors can enable a healthy speaking up culture within the new graduate allied health workforce. This is new knowledge that will be of interest at the individual, team and organizational levels of healthcare. The findings will support curriculum design and new graduate support frameworks for the education and health sectors. Highlighted in this study are the importance of the following factors in supporting speaking up for allied health new graduates: the employment of reflective supervision, purposeful facilitation of team belonging and interprofessional collaboration and tailored speaking up training for allied health new graduates and leaders in healthcare.

By taking a realist perspective and using narrative analysis, we gain an understanding of the voice behavior experiences of new graduates in allied health and the contextual factors and mechanisms that activate effective voice behavior in sub-acute and rehabilitation settings. These findings differ from nursing and medicine and highlight the benefits of reflective supervision and interprofessional collaborative practice.