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In England and Wales, adult male registered sex offenders (RSOs) are risk assessed and managed using a tool known as the Active Risk Management System; a risk assessment designed specifically for police management of RSOs and carried out by a specialist group of police officers known as Management of Violent or Sexual Offenders (MOSOVO) at the RSO’s home, known as “the home visit”. The purpose of this paper is to explore RSOs views of the home visit and risk assessment and to make recommendations to MOSOVO to improve future home visit & risk assessment practice.

This study aimed to examine a sample of adult male RSOs’ views of the risk assessment and home visit process. Three police forces in England and Wales agreed to facilitate the sampling of 10 RSOs who varied in their level of risk, namely, low, medium, high and very high.

Three themes were developed from the analysis: anxiety and shame; perceptions of the first home visit; and the property search and observations. This paper discusses these experiences in light of the growing call for MOSOVOs to both manage risk and assist desistance and present recommendations for improving both the home visit and risk assessment practice.

To the best of the authors’ knowledge, this is the first study to understand and explore RSOs views of the home visit and risk assessment process.

The authors are developing a model for rural science teacher professional development, building teacher expertise and collaboration and creating high-quality science lessons: technology-mediated lesson study (TMLS).

TMLS provided the means for geographically distributed teachers to collaborate, develop, implement and improve lessons. TMLS uses technology to capture lesson implementation and collaborate on lesson iterations.

This paper describes the seven steps of the TMLS process with examples, showing how teachers develop their content and pedagogical knowledge while building relationships.

The TMLS approach provides an innovative option for teachers to collaborate across distances and form strong, lasting relationships with others.

The purpose of this study is to empirically analyse the fiscal revenue implications for oil-dependent African countries in the face of low-carbon energy transition (LET).

The study combined the novel fully modified ordinary least squares, dynamic ordinary least squares and canonical cointegrating regressions estimators to analyse secondary data between 1990 and 2020 for the three major oil-dependent African Countries (Algeria, Angola and Nigeria).

The result shows that LET reduces oil revenue and non-revenue for specific countries (Algeria, Angola and Nigeria) and the panel, suggesting that low-carbon energy transiting is lowering the fiscal revenue of oil-dependent African nations.

The seeming weakness of this study is its inability to broaden the scope to include all oil-producing African economies. However, since the study selected Africa’s top three oil-producing states, the sample can serve as a model for others with lesser crude oil outputs.

Oil-dependent African countries must urgently engage in sincere economic diversification in sectors like industry and manufacturing, the service sector and human capital development to promote economic transformation that will enhance fiscal revenue.

With the pace of energy transition towards low-carbon energy, it is not business as usual for oil-rich African countries (Algeria, Angola and Nigeria) due to fluctuating demand and price. As a result, it becomes worthy to examine how the transition is affecting oil-dependent economies in Africa. Also, this study’s method is unique as it has not been used in a similar study for Africa.

This study aims to assess financial development and debt status impact on energy efficiency in Nigeria as a developing economy.

This study combined the autoregressive distributed lag (ARDL), fully modified ordinary least squares and canonical cointegration regression analytical methods to estimate the parameters for energy efficiency policy recommendations. Secondary data between 1990 and 2020 were used for the analysis.

The result confirms the long-run nexus between energy efficiency, financial development and total debt stock. Furthermore, the ARDL estimates for this study’s key variables show that financial development promotes energy efficiency in the short run but hinders long-run energy efficiency. Total debt stock limits energy efficiency in Nigeria in short- and long-run periods.

The limitation of this study is that the scope is limited to Nigeria as a developing economy. The need to support energy efficiency projects is a global call requiring cross-country analysis. Despite this study’s focus on Nigeria, it provides useful insights that can guide energy efficiency policy through the financial sector and debt management.

The financial sector must ensure the availability of long-term credit facilities to clean energy investors. The government must maintain a sustainable debt profile to pave the way for capital expenditure on clean energy projects that promote energy efficiency.

The environmental consequences of energy intensity are being felt globally, with the developing countries most vulnerable. The cheapest way to curb these consequences is to promote energy efficiency to reduce the disastrous effect. Driving energy efficiency requires investment in energy-efficient technology but the challenge for developing economies, i.e. Nigeria’s funding, remains challenging amid a blotted debt profile. This becomes crucial to investigate how financial sector development and debt management can accelerate energy-efficient investments in Nigeria.

Family small and medium-sized enterprises (SMEs) represent a substantial part of many economies. In these organizations, close and informal relationships between employers and employees often foster a mutual understanding of each other’s needs, facilitating the negotiation of idiosyncratic deals (i-deals), special employment conditions tailored for individual employees. However, research on how i-deals are negotiated in family SMEs, especially regarding power dynamics and influence, remains limited. This study aims to identify the types of i-deals negotiated in family SMEs and explore the role of power and influence in these negotiations.

Semi-structured interviews were conducted with 45 employees and 15 employers from Spanish family SMEs. Data were analyzed using ATLAS.ti 8, and thematic analysis was performed.

The study concludes that task, flexibility, financial and development i-deals are particularly negotiated in family SMEs. It identifies that referent and expert power play an important role in initiating these negotiations. Furthermore, rational tactics are generally employed for negotiating work performance, soft tactics for employment-related aspects and hard tactics for work flexibility. Additionally, the study identified gender differences in the negotiation of i-deals.

This study enhances i-deal literature by highlighting the distinct characteristics of family SMEs and their impact on i-deal negotiations. The findings suggest that power dynamics and influence tactics in family SMEs differ from those in larger firms. Moreover, certain i-deals may encounter resistance due to concerns about organizational performance and economic implications. Understanding these factors is essential for developing effective negotiation strategies in family SMEs.

This study offers a dual perspective, analyzing the power and influence tactics used by both employees and employers in family SME i-deal negotiations and highlighting gendered dynamics in these processes.

The study examines the effect of natural resources (NRs) and the control of corruption, voice and accountability and regulatory quality on carbon emissions in Africa. Aside from their individual effects, the moderation effect of institutional quality is assessed.

Data from 32 African countries from 2002 to 2021 and the fully modified ordinary least squares (FMOLS) and dynamic ordinary least squares (DOLS) regression methods were used for the investigation.

In the long term, the NRs effect is sensitive to the estimation technique employed. However, quality regulatory framework, robust corruption control and voice and accountability abate any positive effect of NRs on carbon emissions. Institutional quality can be argued to moderate the CO2-emitting potentials of resource extraction in the selected African countries.

Enhancing regulation quality, enforcing corruption control and empowering citizens towards greater participation in governance and demanding accountability are essential catalyst to effectively mitigate CO2 emissions resulting from NRs.

The moderation effect of control of corruption, voice and accountability and regulatory quality on the NR–carbon emission nexus is examined.

The purpose of this research is to identify the most important attributes of metaverse influencers and examine their impact on customer engagement and social glue.

Three studies (one qualitative and two quantitative) were conducted to understand the phenomenon better. The qualitative study (Study 1) was conducted to identify the antecedents of the theoretical model, which was tested in Study 2 using the covariance-based structural equation modelling (CB-SEM) technique. Study 3 then divided the respondents based on the metaverse influencer attribute preferences.

Results of Study 1 revealed the six most influential attributes of metaverse influencers: physical attractiveness, social attractiveness, perceived credibility, metaverse-influencer fit, intimacy and attitude homophily. Further, Study 2 validated that attractiveness and perceived credibility enhance engagement. Also, the results revealed that intimacy, perceived credibility and homophily enhance social glue. Moreover, parasocial relationships mediate the association between intimacy, attitude homophily, perceived credibility and (engagement and social glue). The conditional indirect effect of physical attractiveness, social attractiveness and metaverse–influencer fit on (engagement and social glue) via parasocial relationships at different high and low levels of self-discrepancy was significant. Finally, Study 3 used latent class analysis to reveal different clusters of metaverse users.

This research enriches our understanding of metaverse influencers, contributing to the influencer marketing literature. It offers actionable insights for marketers by elucidating key influencer attributes, aiding in enhancing engagement and social glue.

This study aims to explore the impact of financial technology (fintech) and behavioral intention on financial inclusion, specifically focusing on the role of digital marketing as a mediator.

Using a quantitative research design, this study collected data from 638 respondents in the province of Punjab, Pakistan to investigate the relationship between variables.

The results indicate that both behavioral intention and fintech have a positive and favorable effect on financial inclusion. Furthermore, the study reveals that digital marketing acts as a mediating factor between financial inclusion and both behavioral intention and fintech. These findings underscore the significance of using effective digital marketing strategies to facilitate financial inclusion through fintech platforms. Policymakers should prioritize the adoption of fintech innovations and supportive regulatory frameworks while implementing comprehensive digital marketing strategies to promote financial inclusion.

This research contributes to the existing body of literature by presenting empirical evidence that highlights the interconnectedness of fintech, behavioral intention, digital marketing and financial inclusion. By harnessing the potential of fintech and digital marketing, financial institutions can bridge the gap between underserved populations and formal financial services, thereby promoting economic growth and reducing inequality.