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In recent years, in research and policy circles, there is growing interest in the subject of speaking up (and silence) within the health sector, and there is a consensus that it is a major issue that needs to be addressed. However, there remain gaps in our knowledge and while scholars talk of a voice system – that is the existence of complementary voice channels designed to allow employees to speak up – empirical evidence is limited. We seek to explore the notion of a voice system in a healthcare organisation as comprising structures and cultures as seen from different stakeholder perspectives. What do they see and how do they behave and why? To what extent do the users see a voice system they can access and easily navigate?

Interviews and focus groups were conducted with a voice stakeholder group (e.g. designers of the system from senior management and HR, which comprised 23 staff members) as well as those who have to use the system, with 13 managers and 26 employees from three units within a metropolitan hospital: an oncology department, an intensive care unit and a community health service. Overall, a total of 62 staff members participated and the data were analysed using grounded theory to identify key themes.

This study revealed that although a plethora of formal voice structures existed, these were not always visible or accessible to staff, leading to confusion as to who to speak up to about which issues. Equally other avenues which were not designated voice platforms were used by employees to get their voices heard.

This papers looks at the voice system across the organisation rather than examining a specific scheme. In doing so it enables us to see the lived perceptions and experiences of potential users of these schemes and their awareness of the system as a whole.

Machine learning (ML), and deep learning in particular, is gaining traction across a myriad of real-life applications. Portfolio management is no exception. This paper provides a systematic literature review of deep learning applications for portfolio management. The findings are likely to be valuable for industry practitioners and researchers alike, experimenting with novel portfolio management approaches and furthering investment management practice.

This review follows the guidance and methodology of Linnenluecke et al. (2020), Massaro et al. (2016) and Fisch and Block (2018) to first identify relevant literature based on an appropriately developed search phrase, filter the resultant set of publications and present descriptive and analytical findings of the research itself and its metadata.

The authors find a strong dominance of reinforcement learning algorithms applied to the field, given their through-time portfolio management capabilities. Other well-known deep learning models, such as convolutional neural network (CNN) and recurrent neural network (RNN) and its derivatives, have shown to be well-suited for time-series forecasting. Most recently, the number of papers published in the field has been increasing, potentially driven by computational advances, hardware accessibility and data availability. The review shows several promising applications and identifies future research opportunities, including better balance on the risk-reward spectrum, novel ways to reduce data dimensionality and pre-process the inputs, stronger focus on direct weights generation, novel deep learning architectures and consistent data choices.

Several systematic reviews have been conducted with a broader focus of ML applications in finance. However, to the best of the authors’ knowledge, this is the first review to focus on deep learning architectures and their applications in the investment portfolio management problem. The review also presents a novel universal taxonomy of models used.

People with intellectual disabilities are at a significantly higher risk than the general population for experiencing a wide range of adverse and potentially traumatic events. This paper aims to explore the incidence of experiences of lifetime trauma across this population in one Forensic Intellectual Disability Service. Risk management recommendations and psychological risk formulations were also examined for their consideration of traumatic experiences.

Risk assessment reports (n = 39) were reviewed for evidence of traumatic experiences and the consideration of trauma in patient risk formulations and risk management treatment recommendations.

Trauma was rated as present or partially present in 84.6% (n = 33) of risk assessment reports reviewed. None of the patients had received a post-traumatic stress disorder (PTSD) diagnosis. Recommendations regarding trauma were identified in 39.4% (n = 13) of the risk assessment reports where trauma was rated either “present” or “partially present”.

Findings suggest a need for diagnostic tools to be used to measure trauma symptoms and potential cases of PTSD to best support needs of patients. Trauma-focused interventions should also be considered. Further investigation is needed to clarify the disparity between the consideration of trauma in formulations and treatment recommendations.

This study highlights the different traumatic experiences that forensic patients across three settings have been exposed to during their lifetimes.

The study measures the total systemic risks and connectedness across commodities, stocks, exchange rates and bond markets in Africa during the Covid-19 pandemic.

The study uses the Diebold-Yilmaz spillover and connectedness measures in a generalized VAR framework. The author calculates the net transmitters or receivers of shocks between two assets and visualizes their strength using a network analysis tool.

The study found low systemic risks across all assets and countries. However, we found higher systemic risks in the forex market than in the stock and bond markets, and in South Africa than in other countries. The dynamic analysis found time-varying connectedness return shocks, which increased during the peak periods of the first and second waves of the pandemic. We found both gold and oil as net receivers of shocks. Overall, over half of all assets were net receivers, and others were net transmitters of return shocks. The network connectedness plot shows high net pairwise connectedness from Morocco to South Africa stock market.

The study has implications for policymakers to develop the capacities of local investors and markets to limit portfolio outflows during a crisis.

Previous studies have analyzed spillovers across asset classes in a single country or a single asset across countries. This paper contributes to the literature on network connectedness across assets and countries.

This literature review aims to portray the thematic landscape of the Pacific Accounting Review (PAR) from 2013 to 2023. This paper also synthesises the special issues in PAR and identifies the main research streams that facilitate contemplating the dialogic interactions between PAR and real-world challenges. Furthermore, this paper aligns these streams with the emerging concerns in Sustainable Development Goals (SDGs) and technological disruptions to propose impactful future directions for publications in PAR.

This review adopts bibliometric analysis to establish the main research streams and objective measures for directing future publications. This paper acquires the data of 310 PAR articles from the Web of Science and ensure the data integrity before the analysis. Based on this technique, this paper also analyses PAR’s productivity, authorship and local and global impacts.

Our bibliometric analysis reveals three key research streams: (1) ESG practices and disclosures, (2) informal institutions in accounting and (3) accounting in transition. This finding affirms PAR’s relevance to real-world accounting challenges. Using a thematic map, this paper portrays the current state of PAR’s topics to identify potential directions for future publications. Further, this paper proposes three future paths for PAR: (1) the research agenda for non-financial reporting, (2) research relating to and from diverse countries considering both formal and informal contemporary contextual factors and (3) the future of the evolving accounting profession.

This study adds value to the existing PAR reviews by extending our knowledge with the latest publications, demonstrating an objective and replicable approach, and offering future directions for PAR publications.

With the soaring rise in popularity of social media platforms in recent decades, the use of website posts for the expression of work-related views has also increased. Despite websites being extensively used, there has been no examination of the views and concerns expressed by frontline workers through website posts. The present research aims to contribute to the “voice literature” first by evaluating how frontline workers utilize anonymous media platforms to express their views and work-related concerns and, second, by demonstrating how anonymous voice systems can encourage frontline health workers in providing feedback and dissatisfaction.

The study utilizes the thematic analysis method to analyze the content of posts by psychologists on a collaborative consultation website administrated by Israel’s Ministry of Health, discussing their perceptions of work-related concerns.

The analysis identified three work-related themes through the employees' voices. These include insufficient support from management, conflicts and excessive occupational demands. The workers expressed their apprehension with regard to organizational pressures, deficient budget allocations, excessive workloads, lack of recognition and work–life imbalances.

The application of thematic analysis method to anonymous open-public data should be viewed as an effective, affordable, genuine and unique research method for data analysis. Anonymous platforms can generate unique insights that may not be possible through traditional means. This can provide practitioners with a comprehensive understanding of various issues and challenges and be a useful tool for identifying shortcomings within health settings.