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This study aims to examine magnetohydrodynamic mixed convective phenomena and entropy generation within a semicircular porous channel, incorporating impinging jet cooling and the effects of thermal radiation. The present study analyzes the complex flow dynamics and heat transfer characteristics of a highly diluted 0.1% (volume) concentration Cu–Al₂O₃/water hybrid nanofluid, based on findings from previous studies. The investigation is intended to support the development of effective thermal management systems across diverse industries, such as cooling of electronic devices and enhanced energy system applications.

This study incorporates a heated curved bottom wall and a cooling jet of Cu–Al₂O₃/water hybrid nanofluid impinging from the central top inlet, with two horizontal exit ports along the rectangular duct. Finite element-based simulations are conducted using COMSOL Multiphysics, using a single-phase homogeneous model justified by earlier works. This method uses experimental data of effective thermal conductivity and viscosity, emphasizing the evaluation of thermal performance in scenarios involving intricate geometries and multiphysical conditions. The study analyzes nondimensional variables such as Reynolds number (Re), modified Rayleigh number (Ra_m), Hartmann number (Ha), Darcy number (Da) and radiation parameter while maintaining a constant nanofluid volume fraction. A grid independence study and code validation were performed to ensure numerical accuracy.

The analysis indicates that elevated Re contribute to a lessening in the thermal boundary layer thickness, prompting flow separation and significantly amplifying the average Nusselt number. The mixed convective heat transfer enhancement, coupled with an overall reduction in total entropy generation, diminishes with a rising Ha. However, optimized combinations of higher values for modified Ra_m and Da yield improved heat transfer performance, particularly pronounced with increasing Ha. Radiative heat transfer exerts a detrimental impact on both heat transfer and entropy production.

While the single-phase model captures key macroscopic effects differentiating nanofluids from base fluids, it does not provide insights at the nanoparticle level. Future studies could incorporate two-phase models to capture particle-level dispersion effects. In addition, experimental validation of the findings would strengthen the study’s conclusions.

This work represents innovative perspectives on the development of efficient hydrothermal systems, accounting for the influences of thermal radiation, porous media and hybrid nanofluids within a complex geometry. The results offer critical insights for enhancing heat transfer efficiency in real-world applications, especially in sectors demanding advanced cooling solutions.

This article is timely due to the current high attrition of officers (National Police Chiefs Council, 2023) and will explore the literature surrounding retention and attrition of officers, the impact of this on trust and confidence, and the need to understand the reasons why officers join the service coupled with their expectations of the police as a long-term career (>10 years).

This research will describe a study using a survey that examined views of 120 new recruits from 3 UK police forces on why they joined the service.

It notes that many still see the police service as a long-term career and indicate little intention of leaving, raising further questions surrounding the reasons for the current high attrition rates. It concludes with where police forces could focus to improve retention, suggesting some reasons for the attrition such as low job satisfaction, poor welfare and organisation culture, and some practical suggestions as to where police forces could focus to improve retention.

Albeit this research was sent to a small sample (n = 127) and did not address shift work issues or welfare support, it will serve as a foundational pilot. The research initial findings can inform future studies with more detailed analyses and targeted strategies to enhance officer retention and public trust in the police force.

The research aims to provide insights into how recruitment motivations and job satisfaction impact long-term retention.

This research highlights the significance of examining the reasons for new recruits joining the service, and of implementing retention strategies prioritising stability, officer support, and community engagement to cultivate a trusting relationship between the police and the public.

This study was designed to examine if current new police officers still view the police as a long-term career choice and to identify if their reasons for joining the service have changed with the current political climate of policing in the UK.

This chapter focuses on the integration of virtual reality (VR) into human resource management (HRM), with a special emphasis on theoretical underpinnings that support its adoption and utilisation. The speed at which technology is improving has placed VR as potentially game-changing for the field of HRM. This chapter reviews a number of theoretical models, including the Technology Acceptance Model, Unified Theory of Acceptance and Use of Technology, Diffusion of Innovations Theory and Social Cognitive Theory, in an attempt to make the framework as exhaustive as possible in the quest to unravel the ingredients that influence the acceptance of VR in HRM. This chapter discusses the practical implications of VR on the enhancement of organisational efficiency and employee well-being, based on a literature review of empirical studies that shed light on the challenges for VR applications due to technical limitations, ethical concerns and people's resistance to change. It concludes by indicating the literature gaps and proposing some future lines of research for the use of VR in HRM.

This study aims to introduce a conceptual framework that links gender microaggressive experiences at the workplace to women’s propensity to quiet quit.

Using conservation of resources theory and social exchange theory this study develops a conceptual framework to explain women employees’ quiet quitting (QQ) behaviour when they experience gender microaggressions (GM) in workplaces.

The conceptual framework provides a comprehensive understating of antecedents to QQ behaviour of women employees. Affective commitment is identified to mediate and supervisory support to moderate the relationship between QQ and GM.

To the best of the authors’ knowledge, this is the first study to examine the QQ process through a gendered lens.

This study aims to explore the relationship between digital transformation and talent management during the current industrial revolution (Industry 4.0). Talent management is a critical strategic focus for human resource (HR) managers, evolving with changing approaches over time. The paper seeks to guide talent management in Industry 4.0 by advocating a collaborative approach between employees and HR managers amidst technological transformations.

A systematic method of finding the literature using the PRISMA framework, through databases like Scopus, EBSCO, Emerald Insights and Science Direct was applied. A total of 629 papers were initially identified, which were filtered down to 42 papers for the review, leading to identification of research gaps, formulation of different research questions and proposal of a conceptual framework.

The literature highlights varied HR practices in Industry 4.0 and the corresponding transformation initiatives. It underscores that Industry 4.0 technologies empower employees to leverage creative, digital and interpersonal skills, fostering continuous learning. HR managers, through coaching and a commitment to sustainable practices, further motivate employees to acquire new skills. This collaborative effort propels the digital transformation of talent management, significantly impacting the overall talent pool.

Although the literature review was conducted using prominent databases, some papers in regional languages were excluded, along with few articles whose full texts were not available, which may be a limitation of this paper.

This research represents a pioneering exploration of the interdisciplinary intersections between talent management and technological transformations. Initially, it surveys digital transformation practices, followed by a systematic review presenting various authors’ perspectives on talent management in Industry 4.0. The paper concludes by identifying research gaps and articulating key variables shaped by the intentions of HR managers and employees, thus, driving the transformation of talent.

This study aims to examine the dynamic effect of FinTech on financial stability, with the moderating role of green finance (GF), its dimensions and mechanisms in the context of the spillover effects of the COVID-19 shock. This study used balanced panel data from 148 countries, including 76 developed and 72 emerging nations, from 2005 to 2022.

The research utilized the dynamic two-step system (GMM), and robustness was performed with the bootstrapped panel quantile regression.

The findings reveal that FinTech significantly affects financial stability across the entire sample. The overall composite of GF boosts financial stability by improving financial soundness. The GF dimensions, such as environmental, resource and financial, positively influence FS, while the GF economic dimension hurts FS. The moderating role and all interaction terms of GF dimensions with FinTech contribute positively and significantly to FS. While the interaction term GF resources with FinTech negatively impacts FS, indicating that countries should utilize resources more efficiently. Additionally, the COVID-19 spillover effect negatively influences FS across all samples. In advanced countries, FinTech and green finance positively affect FS. In emerging countries, green finance (except for the resource dimension) and FinTech interactions enhance financial stability, (except for the environmental dimension), leading to environmental hazards from their highly intensive industrial carbon policies.

The findings suggest that policymakers should prioritize promoting the adoption of initiatives related to FinTech and green finance by integrating sustainable transition finance policy frameworks to maintain stability and foster low-carbon economies for a sustainable future.

Improved financial stability has more significant social effects, such as better investment instruments, confidence and economic growth. Policymakers can leverage these findings to establish resilient financial ecosystems, fostering sustainable economic development and decreasing the risk of financial crises.

This study offers novel insights into how FinTech and multi-dimensional green finance effect financial stability in advanced and emerging nations. It provides unique insights into context-specific dynamics and enhances the literature on financial stability.

The purpose of this study is to map the intellectual structure of sustainable finance and accounting (SFA) literature by identifying the influential aspects, main research streams and future research directions in SFA.

The results are obtained using bibliometric citation analysis and content analysis to conduct a bibliometric review of the intersection of sustainable finance and sustainable accounting using a sample of 795 articles published between 1991 and November 2023.

The most influential factors in the SFA literature are identified, highlighting three primary areas of research: corporate social responsibility and environmental disclosure; financial and economic performance; and regulations and standards.

SFA has experienced rapid development in recent years. The results identify the current research domain, guide potential future research directions, serve as a reference for SFA and provide inspiration to policymakers.

SFA typically encompasses sustainable corporate business practices and investments. This study contributes to broader social impacts by promoting improved corporate practices and sustainability.

This study expands on previous research on SFA. The authors identify significant aspects of the SFA literature, such as the most studied nations, leading journals, authors and trending publications. In addition, the authors provide an overview of the three major streams of the SFA literature and propose various potential future research directions, inspiring both academic research and policymaking.

This research aims to define the novel attitude toward social responsibility phenomena from a multi-level governance perspective and, based on the Lithuanian case, to illustrate the territorial perspective concerning the needs and challenges for future responsible governance in rural areas.

This research is organized according to qualitative research principles. The seven-step Delphi technique was applied to reach the aim. The expert selection was done using the two criteria, based on the Quadruple Helix approach (Carayannis & Rakhmatullin, 2014; González-Martinez et al., 2023) and the Stakeholder Salience model (Mitchell et al., 2017). The complementary expertise was accumulated by involving experts from the ministry (government helix) as holding the highest level of legitimacy in the field of building responsible governance in rural areas; business helix representatives hold high urgency attributes; power attributes varied among the experts in different helixes. In total, 15 experts were selected to implement the necessary Delphi steps, where experts’ involvement is relevant. The research work lasted for four months, starting from December 2022, and finalizing in March 2023. Technical support and funding for this research were organized in parallel with part of the activities of the Horizon 2020 programme’s project “SHERPA – Sustainable Hub to Engage in Rural Policies with Actors” (2019–2023).

The number of recently observed issues while realizing the increasingly complicated application of multi-level governance mechanisms, both scientific discussions and practical implementation evidence call for a novel attitude in governance. In particular areas, where imperfections are very sensitive and most evident, scientific elaborations are more demanded from the very top, i.e. from the EU. Throughout recent years, the European Commission started employing cocreative consortiums (e.g. SHERPA), which, as found much earlier in scientific discourse, represent the joint multi-level power, involving the most powerful, urgent and legitimate stakeholders, representing the four helixes – government, society, business and academia, in building innovative cocreative and collaborative policy formation and implementation practices in multi-level governance. However, the core component that might add to future responsible governance is the social responsibility phenomenon. In conjunction, the multi-level governance and social responsibility paradigms might propose the desired novel responsible governance concept, which would work for more responsible policy formation and implementation, especially considering the interests of local communities.

This paper presents empirical findings, based on limited qualitative data, collected in one EU new member state, i.e. Lithuania. International comparative perspectives are given referring to other related papers. Research findings are promising for further research in the field of novel responsible multi-level governance framework by using the Quadruple Helix stakeholder approach to foster collaboration for innovation in socially responsible governance both from theoretical and empirical points of view.

The developed theoretical framework and described methodological approach might be applied to practitioners in any area policy formation process. The Quadruple Helix approach might be used in defining the needs and challenges of any unit of analysis, either a small canton or a metropolitan city. The study suggests a meaningful departing point starting with expert views on better and more responsible governance practices. The study envisages the ways and manners to define the best value for stakeholders that is the general public or citizens of a rural setting, and this could be extended to other levels of government or state.

The research takes into account the public interest from a very broad point of view – how to develop a political course for rural regions in a socially responsible way by using already established innovative methodology.

The article proposes using the novel combination of the three-pillar and stakeholder perspective of CSR, fulfilled by the original Quadruple Helix innovation approach, for establishing proactive stakeholder needs-based responsible multi-level governance practices, enabling the socially responsible policy formation and implementation mechanisms.

The purpose of this study is to undertake a systematic literature review (SLR) on intellectual capital disclosure (ICD), focusing on its role in fostering competitive advantage.

Following the SLR process, the study identified 84 papers published in high-ranking journals over a 19-year span, providing insights into descriptive outcomes, research limitations and future research directions.

The results show that ICD research peaked in 2022, with the Journal of Intellectual Capital leading with the highest number of ICD publications. Resource-based theory was found to be the most applied theoretical framework, with developed country-specific research receiving the most attention. The use of small sample size, a lack of longitudinal studies, reliance on a single source of data, unsuitability of control variables and a lack of comparative studies with firms operating in developing countries are the main limitations that have been noted.

This study faces constraints, primarily stemming from the selective keyword utilization and exclusive Scopus database reliance. It omits non-English papers, conference proceedings and books, potentially overlooking relevant insights.

The findings offer valuable insight for researchers, emphasizing the need for research on intellectual capital (IC) across diverse industries. Furthermore, our findings urge regulators to mandate global IC reporting to mitigate information asymmetry, while also prompting managers to enhance IC-related practices and reporting for more stakeholders’ trust.

This study provides a comprehensive overview of over two decades of ICD literature, synthesizing previous studies, identifying gaps and outlining potential directions for scholars and industry professionals in the context of competitiveness.

This study aims to identify and model deterrents to adopt and institutionalize analytics and artificial intelligence in modern human resource (HR) using interpretive structural modelling (ISM) and cross-impact matrix multiplication applied to classification (MICMAC) approach.

A comprehensive investigation of the literature and feedback from experts led to the identification of 16 deterrents in this study. After that, the ISM tool is used to find connections between the identified deterrents in the HR ecosystem and MICMAC which helps in categorising deterrents on the basis of driving and dependence power and provides deeper insights into their roles and significance.

Employee resistance and HR transformation are highly influenced by other factors but exert minimal driving power. Data availability, leadership support, communication and collaboration, legal, ethical and regulatory compliance, and infrastructure and resources exhibit strong influence and dependence, making them highly sensitive and crucial. Training and development, learning culture and change management, and data privacy and security have strong driving power with minimal dependence, indicating their foundational role in shaping HR transformation.

This study will assist policymakers and owners/managers in the HR ecosystem in recognising and comprehending the importance and applicability of analytics and AI obstacles while developing HR strategies.

This study explicitly focuses on data analytics and AI technology in the current scenario. It also explores the relationship between deterrents and their driving and dependence powers.