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Predictive digital twin technology, which amalgamates digital twins (DT), the internet of Things (IoT) and artificial intelligence (AI) for data collection, simulation and predictive purposes, has demonstrated its effectiveness across a wide array of industries. Nonetheless, there is a conspicuous lack of comprehensive research in the built environment domain. This study endeavours to fill this void by exploring and analysing the capabilities of individual technologies to better understand and develop successful integration use cases.

This study uses a mixed literature review approach, which involves using bibliometric techniques as well as thematic and critical assessments of 137 relevant academic papers. Three separate lists were created using the Scopus database, covering AI and IoT, as well as DT, since AI and IoT are crucial in creating predictive DT. Clear criteria were applied to create the three lists, including limiting the results to only Q1 journals and English publications from 2019 to 2023, in order to include the most recent and highest quality publications. The collected data for the three technologies was analysed using the bibliometric package in R Studio.

Findings reveal asymmetric attention to various components of the predictive digital twin’s system. There is a relatively greater body of research on IoT and DT, representing 43 and 47%, respectively. In contrast, direct research on the use of AI for net-zero solutions constitutes only 10%. Similarly, the findings underscore the necessity of integrating these three technologies to develop predictive digital twin solutions for carbon emission prediction.

The results indicate that there is a clear need for more case studies investigating the use of large-scale IoT networks to collect carbon data from buildings and construction sites. Furthermore, the development of advanced and precise AI models is imperative for predicting the production of renewable energy sources and the demand for housing.

This paper makes a significant contribution to the field by providing a strong theoretical foundation. It also serves as a catalyst for future research within this domain. For practitioners and policymakers, this paper offers a reliable point of reference.

The aim of this research was to explore and gain an understanding of the lived experiences of Black females transitioning from social work practice into academia and the support and barriers they experienced.

To achieve this an adaptation of Wengraf (2004) Biographical Narrative Interview Model (BNIM) was employed alongside Braun and Clarke (2006) thematic analysis as foundation of the methodology employed in this study. Whilst the adverse issues relating to Black female academics is not new, the paper is original in the manner in which data was gathered.

The study identified four themes: (1) significance of early life, (2) passion for learning, (3) overcoming obstacles and (4) navigating academia. The case studies highlighted the various examples of resistance, rebellion and activism the Black female academics employed within UK universities. The paper concluded that despite the positive messaging from families and communities, about pursuing education, and the need for having a strong work ethic, the progress that can be achieved by Black female academics is limited due to the pervasive nature of racism, therefore dispelling the myth of meritocracy.

The research sample was small and therefore not easily generalisable to the whole population. The findings of the paper will need to be considered as a contribution of knowledge to the issue of structural racism.

Whilst the adverse issues relating to Black female academics is sadly not new, the paper is original in the manner in which data was gathered. Namely, the academics were both researchers and the participants, therefore simultaneously providing and analysing the data.

Hearing voices can be a debilitating and traumatic experience, and psychiatric hospitals can feel unsafe and overstimulating to voice hearers. Research suggests this may prolong a service user’s admission time and lead to an unhelpful experience. Therefore, a hearing voices group (HVG) was developed to create a safe space where voice hearers could share their story with others with lived experience and access support.

The group was developed by the first author under the supervision of the inpatient psychology lead. Both a practice-based and expert by experience-based approach were considered during the development of the group structure. The group also aligned with the Hearing Voices Network and the Trust’s values. A questionnaire was developed to evaluate the effectiveness of the group using six five-point Likert scale questions and three open questions to collect the data, which was then analysed.

The themes from the qualitative data showed that staff and ward-based promotion of the group were paramount to ensuring patient engagement. The results also showed that voice hearers found the group therapeutic, and some found the coping skills shared to be beneficial and effective.

A large percentage of women (76%) reported that they had attended a HVG before. This was not the case for service users from the male unit and psychiatric intensive care unit. This result is considered to reflect the fact that women in that unit had the opportunity to attend more than once during their admission, rather than that they had accessed these groups in other settings or in the community. Therefore, in the future, it would be useful to change this question to “have you attended any other HVGs in the past, prior to this admission?”, which might be more appropriate for data collection.

To the best of the authors’ knowledge, this is the original work of the first author, who is an expert by experience and an assistant psychologist. The results suggest that HVGs can be beneficial for patients in acute and intensive mental health care and highlight some necessary adaptations and the importance of adopting an MDT approach in promoting therapeutic groups.

In modern healthcare environments, collective leadership within nursing teams serves as a fundamental pillar for providing high-quality patient care. The purpose of this study is to identify the factors to improve the collective leadership among the healthcare practitioners.

Using data collected through an online survey of 417 registered nurses in 12 general hospital in Malaysia, the study uses partial least squares structural equation modeling to test the proposed hypotheses.

The result indicate that the collective leadership is directly driven by team shared vision, team commitment and team collaboration. Finding also shows that team shared vision, team commitment and team collaboration has a positive and significant impact on collective leadership. Finally, this study also revealed that, the team collaboration is the most significance factor that affecting the collective leadership among nurses.

This work contributes to a better understanding on collective leadership, ultimately improving team effectiveness and patient care outcomes.

This paper explores the effect of individual information technology culture archetypes on the perceived ease of use and perceived usefulness of e-banking customers.

A multi-stage approach was used. First, a cluster analysis was performed (based on a survey of 360 Algerian bank customers). Second, a multiple regression analysis was assessed to test the hypotheses.

The cluster analysis reveals five IT cultural groups for e-banking customers: dangerous, dodgers, compliant dodgers, disenchanted and addicted customers. A mapping of these archetypes is then proposed and tested. The multiple regression analysis shows that the dangerous IT culture archetype exhibit the highest level of perceived ease of use and perceived usefulness beliefs when the dodgers show the lowest one.

This study is limited in that it adopts a relatively small convenience sampling in Northwest Algeria. Furthermore, enriching the model with other antecedents could be of use. However, it clarifies the issue of whether the same IT culture archetypes can be found in different contexts and show that the IT cultural archetypes list is not exhaustive.

The study contributes to the existing knowledge on e-banking adoption in developing countries and provides Algerian banks with some crucial elements.

This paper is one of the first to investigate the impact of IT culture archetypes on e-banking adoption. It (1) identified five IT culture archetypes, (2) proposed a mapping of these archetypes, (3) reinforces the use of the spinning top model and (4) goes further as it applies it in a new context (developing country) and industry (banking).