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Over 2.7 million workers are employed in the UK construction industry and with the fragmented nature of the construction sector; cases of poor mental health of workers are on the increase. This upsurge in the number of workers experiencing poor mental health could directly impact construction safety with significant financial adverse consequences on employers and the UK economy. Studies have identified lapses within the construction sector emphasising the lack of transparency regarding reporting of mental health and well-being of construction workers due to the inadequate engagement from employers and the lack of genuine leadership commitment to tackle mental health.

This study adopted a non-probability purposive sampling strategy, using a self-selected sample. A self-administered questionnaire benchmarked against the mental health core and enhanced standards tools by the “Stevenson/Farmer review of mental health and employers” served as the basis for the methodology. A total of 106 industry managers from highways, construction, maritime, utilities, home building, rail and haulage/fleet were involved in this study.

The findings indicate that the industry is making good strides towards addressing mental health issues; poor mental health have significant financial burdens on businesses and the economy; some contractors have mental health initiatives and programmes in place; there is inconsistency of support available to employees; some contractors now integrate leadership training; the level of engagement vary based on the strategy and action plan adopted by organisations; different mechanisms are adopted for monitoring mental health issues, and there are cross-industry initiatives.

A limitation of this study is the number of participants which is not representative of the entire UK construction workforce. Therefore, the findings from this study as much as it presents some understanding of employee mental health and well-being cannot be overtly generalised across multiple industries, different geographic regions or contexts.

Employers should have a clear representation of the mental health of their employees to help them understand what affects worker’s mental well-being and how they can support them. Disregarding the multifaceted causes of mental ill-health due to the perceived financial implications could be more devastating for the industry.

In the current economic scenario characterized by turbulence, innovation is a requisite for company's growth. The innovation activities are implemented through the realization of innovative project. This paper aims to prospect the promising opportunities coming from the application of Machine Learning (ML) algorithms to project risk management for organizational innovation, where a large amount of data supports the decision-making process within the companies and the organizations.

Moving from a structured literature review (SLR), a final sample of 42 papers has been analyzed through a descriptive, content and bibliographic analysis. Moreover, metrics for measuring the impact of the citation index approach and the CPY (Citations per year) have been defined. The descriptive and cluster analysis has been realized with VOSviewer, a tool for constructing and visualizing bibliometric networks and clusters.

Prospective future developments and forthcoming challenges of ML applications for managing risks in projects have been identified in the following research context: software development projects; construction industry projects; climate and environmental issues and Health and Safety projects. Insights about the impact of ML for improving organizational innovation through the project risks management are defined.

The study have some limitations regarding the choice of keywords and as well the database chosen for selecting the final sample. Another limitation regards the number of the analyzed papers.

The analysis demonstrated how much the use of ML techniques for project risk management is still new and has many unexplored areas, given the increasing trend in annual scientific publications. This evidence represents an opportunities for supporting the organizational innovation in companies engaged into complex projects whose risk management become strategic.

This paper systematically reviewed research work on drivers of teamwork, which will reinforce construction work teams to enhance workers’ safety performance. This study adds to the existing but limited understanding of teamwork drivers on construction workers’ safety performance. This paper presents scholars and industry-based professionals with critical initiatives that have to be implemented in organisations to get positive results in safety while working in teams with an emphasis on systems drivers of teamwork on safety performance at the organisational level, which will help in providing information on the functioning of the teams and contribute towards improved safety performance of team workers.

This study aims to systematically examine the existing body of knowledge on drivers of teamwork by analysing 53 publications from the years 1997–2021. The Scopus search engine was used to conduct a systematic review and germane publications were collated.

According to the findings of the review, since 1997, there has been a burgeoning concern in the research of drivers of teamwork and its impact on workers’ safety performance. After performing a systematic review, 37 drivers of teamwork were identified. The top five drivers are effective communications, team workers’ relations, leadership, shared knowledge and information, and team training. Moreover, it was noted that the United States and Australia have been the international regions of focus for most of the research in the area of drivers of teamwork from the years 1997–2021. The 37 drivers of teamwork are distributed into six major socio-technical components: people drivers; culture drivers; metrics drivers; organisational and management practices and procedures drivers; infrastructure drivers and technology drivers.

The results reported present research scholars and professional practitioners with an overview of the drivers of teamwork that could be implemented in the construction industry to streamline potential implementations and improve safety performance of construction workers.

A list of teamwork drivers has been developed to ratify potential empirical research in the area of construction safety. The results would contribute to the existing but restricted understanding of drivers of teamwork in the construction industry.

This study investigates the factors that influence citizens trust in public leaders [i.e. presidents, members of parliament (MPs) and local government leaders (LGs)] in 34 countries in Africa between 2019 and 2021.

Individual-level data with a sample size of 48,084 was obtained from the Afro-Barometer round 8 survey only and analyzed using multivariate binary logistic regression.

Several important and intriguing observations were made from this analysis: (1) the performance of public leaders influences citizens trust in their leaders; (2) the perceived corruption of public leaders and civil servants and the level of corruption influence citizens trust in public leaders; (3) perceived neighborhood problems (i.e. fear of violence, fear of terrorism and service delivery) influence citizens trust in their public leaders and (4) the socio-demographic characteristics of citizens (i.e. age, religion, education, location, employment and political party affiliation) influence citizens trust in their public leaders.

This study is exceptional in two ways: (1) it examines and compares citizens trust in public leaders across different levels, i.e. presidents, MPs and LGs in Africa and (2) it examines and compares the factors influencing citizens trust in public leaders in Africa comparatively.

The efficiency of each of an organization’s individual workers determines its effectiveness. The study aims to explore the relationship between human resource management (HRM) practices and organizational effectiveness with employee performance as a mediating variable.

Data were collected from 800 police officers in the Greater Accra and Tema regions. The data were supported by the hypothesized relationship. Construct reliability and validity was established through confirmatory factor analysis. The proposed model and hypotheses were evaluated using structural equation modeling.

The results show that career planning and employee performance were significantly related. Self-managed teams and employee performance were shown to be nonsignificantly related. Similarly, performance management and employee performance were shown to be nonsignificantly related. Employee performance significantly influenced organizational effectiveness. The results further indicate that employee performance mediates the relationship between HRM practices and organizational effectiveness.

The generalizability of the findings will be constrained due to the research’s police service focus and cross-sectional data.

The study’s findings will serve as valuable pointers for the police administration in the adoption, design and implementation of well-articulated and proactive HRM practices to improve the abilities, skills, knowledge and motivation of officer’s to inordinately enhance the effectiveness of the service.

By evidencing empirically that employee performance mediates the relationship between HRM practice and organizational effectiveness, the study extends the literature.

Despite the major information technology investments made by public institutions, the reuse of e-government services remains an issue as citizens hesitate to use e-government websites regularly. The purpose of this study is to investigate the cross-country determinants of e-government reuse intention by proposing a theoretical model that integrates constructs from (1) the Delone and McLean IS success model (i.e. system quality, service quality, information quality, perceived value and user satisfaction); (2) the trust and risk models (i.e. citizen trust, overall risk, time risk, privacy risk and psychological risks); and (3) Hofstede's cultural model (i.e. uncertainty avoidance, masculinity, individualism and cross-cultural trust and risk).

Based on data from interviews with 81 Kuwaiti citizens and surveys of 1,829 Kuwaiti and Polish citizens, this study conducted comprehensive, cross-cultural and comparative analyses of e-government reuse intention in a cross-country setting.

The results show that trust is positively associated with citizens' intention to reuse e-government services, whereas risk is negatively associated with citizens' perceived value. This study also found that masculinity–femininity and uncertainty avoidance are positively associated with the intention to reuse e-government services and that individualism–collectivism has no significant relationship with reuse intention. This study's findings have important implications for researchers and practitioners seeking to understand and improve e-government success in cross-country settings.

This study developed a parsimonious model of quality, trust, risk, culture and technology reuse that captures country-specific cultural contexts and enables us to conduct a comprehensive, cross-cultural and comparative analysis of e-government reuse intention in the cross-country setting of Kuwait and Poland.