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This study examines how the resource of egalitarianism, at both individual and organizational levels, affects employee proactivity. Specifically, we propose relational social capital is an effective mechanism through which an individual's egalitarian mindset and the organization's egalitarian HR practice facilitate employee proactivity.

This study surveys a sample of 511 knowledge workers employed in small to medium-sized enterprises in Australia and New Zealand.

Results of partial least squares structural equation modeling (PLS-SEM) demonstrate that relational social capital partially mediates the relationship between an egalitarian mindset and employee proactivity and fully mediates the effects of egalitarian HR practice on employee proactivity.

Globally, a social transformation, particularly around the notions of social responsibility and sustainability, is occurring, and this means increasing numbers of employees support egalitarian ideals. HR practitioners therefore need to be aware of how their human resource management (HRM) system supports this value orientation.

This study illuminates a new performance pathway by highlighting egalitarianism's contribution, as a valuable resource, to organizational and employee innovation. This focus on egalitarianism is both timely and important. This is because the United Nations Sustainable Development Goals, through their support of diversity, inclusiveness and equality, reflect an egalitarian ethos, and managers are becoming increasingly cognizant of the need to embed these values into organizational structures and operational processes.

In the context of nursing in higher education, digital competencies are increasingly recognised as a necessary skillset, within a continuously evolving healthcare professional landscape. This study sought to explore nursing students’ digital competencies and to further understand the digital literacy gaps and barriers they encounter for both learning and future work.

The research involved a cross-sectional, discipline-based empirical study of nursing students’ self-assessed digital competencies via a questionnaire survey, which collected quantitative and qualitative data from a total of five hundred and fifty-three students. The study explored the role of demographics (age, urban/rural geographical location of growing up, study year, learning disabilities (neurodiversity)) and experiences of digital divides (e.g., access, contextual and behavioural barriers) play on students’ digital competencies and outcomes.

Students’ digital competencies were found at an intermediate level, with younger and first-year students self-assessing higher. Significant differences were identified between students who had encountered digital barriers/divides and those who had not, with the former, self-reporting lower digital competencies. Students with learning disabilities reported complex support needs for processing and organizing digital information and for productivity. Almost all the individual digital competencies items assessed had strong statistical correlations between them.

The research offers key recommendations for academic libraries for the ongoing, evolving exploration of students’ digital competencies and for the need to follow tailored, discipline-related, holistic, practice-based and curriculum-embedded approaches to students’ digital skills development and support. It provides novel insights into digital competencies development for nursing students, particularly those who experience digital divides.

Recent United Nations Climate Change Conferences recognise extreme climate change of heatwaves, floods and droughts as threatening risks to the resilience and success of public–private partnership (PPP) infrastructure projects. Such conferences together with available project reports and empirical studies recommend project managers and practitioners to adopt smart technologies and develop robust measures to tackle climate risk exposure. Comparatively, artificial intelligence (AI) risk management tools are better to mitigate climate risk, but it has been inadequately explored in the PPP sector. Thus, this study aims to explore the tools and roles of AI in climate risk management of PPP infrastructure projects.

Systematically, this study compiles and analyses 36 peer-reviewed journal articles sourced from Scopus, Web of Science, Google Scholar and PubMed.

The results demonstrate deep learning, building information modelling, robotic automations, remote sensors and fuzzy logic as major key AI-based risk models (tools) for PPP infrastructures. The roles of AI in climate risk management of PPPs include risk detection, analysis, controls and prediction.

For researchers, the findings provide relevant guide for further investigations into AI and climate risks within the PPP research domain.

This article highlights the AI tools in mitigating climate crisis in PPP infrastructure management.

This article provides strong arguments for the utilisation of AI in understanding and managing numerous challenges related to climate change in PPP infrastructure projects.

In the realm of construction education, the investigation of immersive learning and extended reality (XR) technologies has experienced a surge in recent times. Nevertheless, there remains a notable lack of comprehension surrounding the most efficient ways to integrate these technologies into tailored teaching approaches for vocational construction training. This research study aims to pinpoint the key factors that construction vocational education and training (VET) providers must consider when introducing XR technologies into their training schemes.

This study conducted an in-depth literature review to develop an initial framework to summarise training, technology and institutional factors influencing the educational-technology integration of XR technologies in VET. In addition, this study utilised a Delphi technique, including semi-structured group discussions and two rounds of online follow-up questionnaires, to capture VET experts’ judgements on the importance of decision-making criteria.

This study has identified the critical factors to be considered in the VET sector when adopting XR technologies. Findings revealed institutional factors were the most important criteria for participants, followed by training and technology factors.

The current decision-making process focuses on selecting XR technologies rather than evaluating their performance after implementation. Therefore, more research is needed to monitor the implementation of this technology in curricula from a senior management perspective. This will help to understand the cost and value factors related to the value proposition of XR technologies in courses.

To ensure the success and long-term viability of the technology-curriculum interface, it is important to consider factors such as the availability of technical and educational support, data security and cost-effectiveness. It is also crucial to focus on ease of use and content development that emphasises instruction to create engaging content for learners.

The potential impact of this study is underpinned by two facts: (1) it constitutes the first effort made in the field to comprehensively elicit VET expert judgements in relation to XR technologies, and (2) it offers decision-making criteria that are at play in seeking to take advantage of high-cost technologies that are rapidly evolving. While there is no simple checklist for XR implementation, this study takes a step further to identify significant factors influencing XR integration in vocational construction training.

This study proposes a novel method utilising a speech-word pair bipartite network to examine the correlation structure between members of parliament (MPs) in the context of the UK- China relationship.

We construct MP-word pair bipartite networks based on the co-occurrence relationship between MPs and words in their speech content. These networks are then mapped into monopartite MPs correlation networks. Additionally, the study calculates correlation network indicators and identifies MP communities and factions to determine the characteristics of MPs and their interrelation in the UK-China relationship. This includes insights into the distribution of key MPs, their correlation structure and the evolution and development trends of MP factions.

Analysis of the parliamentary speeches on China-related affairs in the British Parliament from 2011 to 2020 reveals that the distribution and interrelationship of MPs engaged in UK-China affairs are centralised and discrete, with a few core MPs playing an integral role in the UK-China relationship. Among them, MPs such as Lord Ahmad of Wimbledon, David Cameron, Lord Hunt of Chesterton and Lord Howell of Guildford formed factions with significant differences; however, the continuity of their evolution exhibits unstableness. The core MP factions, such as those led by Lord Ahmad of Wimbledon and David Cameron, have achieved a level of maturity and exert significant influence.

The research has several limitations that warrant acknowledgement. First, we mapped the MP-word pair bipartite network into the MP correlation network for analysis without directly analysing the structure of MPs based on the bipartite network. In future studies, we aim to explore various types of analysis based on the proposed bipartite networks to provide more comprehensive and accurate references for studying UK-China relations. In addition, we seek to incorporate semantic-level analyses, such as sentiment analysis of MPs, into the MP-word -pair bipartite networks for in-depth analysis. Second, the interpretations of MP structures in the UK-China relationship in this study are limited. Consequently, expertise in UK-China relations should be incorporated to enhance the study and provide more practical recommendations.

Firstly, the findings can contribute to an objective understanding of the characteristics and connotations of UK-China relations, thereby informing adjustments of focus accordingly. The identification of the main factions in the UK-China relationship emphasises the imperative for governments to pay greater attention to these MPs’ speeches and social relationships. Secondly, examining the evolution and development of MP factions aids in identifying a country’s diplomatic focus during different periods. This can assist governments in responding promptly to relevant issues and contribute to the formulation of effective foreign policies.

First, this study expands the research methodology of parliamentary debates analysis in previous studies. To the best of our knowledge, we are the first to study the UK-China relationship through the MP-word-pair bipartite network. This outcome inspires future researchers to apply various knowledge networks in the LIS field to elucidate deeper characteristics and connotations of UK-China relations. Second, this study provides a novel perspective for UK-China relationship analysis, which deepens the research object from keywords to MPs. This finding may offer important implications for researchers to further study the role of MPs in the UK-China relationship.

This study proposes a novel scheme for analysing the correlation structure between MPs based on bipartite networks. This approach offers insights into the development and evolving dynamics of MPs.