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This study of community mental health teams (CMHTs) in Knowsley aimed to provide information about changes to the service user group and the nature of work undertaken in the teams following the implementation of the national service framework for mental health. Clear changes in the balance of work undertaken were identified, reflecting successful implementation of the new policies and appropriate selection of cases. Issues raised by such developments are summarised in view of their relevance to other localities.

The purpose of this paper is to develop a framework for implementing lean construction and consequently to improve performance levels in the construction industry in the context of Saudi Arabia. There is currently no framework for implementing lean construction specifically tailored to the Kingdom of Saudi Arabia (KSA) construction industry. Existing lean construction frameworks are focussed on other countries and are less applicable in the KSA due to differences in socio-cultural and operational contexts.

This study employs the interpretive structural modelling (ISM) technique for data collection and analysis. First, following a survey of 282 construction professionals, 12 critical success factors (CSFs) for implementing lean construction in the KSA construction industry were identified by Sarhan et al. (2016). Second, 16 of these professionals who have 15 years or more experience were exclusively selected to examine the contextual relationship among the 12 CSFs. A row and column questionnaire was used for a pairwise comparison of the CSFs. A matrix of cross-impact multiplications (MICMAC) was applied to analyse the questionnaire data to develop an ISM model that can serve as a framework for implementing lean construction. Third, the framework was subjected to further validation by interviewing five experts to check for conceptual inconsistencies and to confirm the applicability of the framework in the context of the KSA construction industry.

The findings reveal that the CSFs are divided into four clusters: autonomous, linkage, dependent and driving clusters. Additionally, the findings reveal seven hierarchies of inter-relationships among the CSFs. The order of practical application of the CSFs descends from the seventh hierarchy to the first hierarchy.

The new framework is a significant advancement over existing lean construction frameworks as it employs an ISM technique to specify the hierarchical relationships among the different factors that contribute to the successful implementation of lean construction. The primary value of this study is the development of a new framework that reflects the socio-cultural and operational contexts in the KSA construction industry and can guide the successful implementation of lean construction. Therefore, construction industry operators such as contractors, consultants, government departments and professionals can rely on the framework to implement lean construction more effectively and successfully.

International outbreak of the SARS-CoV-2 infection has fostered the Italian government to impose the FFP2 protective facial masks in closed environments, including bar, restaurants and, more in general, in the food sector. Protective facial masks are rocketing, both in mass and in costs, in the food sector imposing efforts in fostering reuse strategies and in the achievement of sustainable development goals. The scope of the present paper is to depict possible strategies in manufacturing and reuse strategies that can reduce the carbon footprint (CF) of such devices.

To implement circular economy strategies in the protective facial masks supply chain, it was considered significant to move towards a study of the environmental impact of such devices, and therefore a CF study has been performed on an FFP2 facial mask used in the food sector. Different materials besides the mostly used polypropylene (PP) (polyethylene (PE), polycarbonate (PC), poly (lactic acid) (PLA), cotton, polyurethane (PUR), polystyrene (PS) and nylon 6,6) and different sanitisation alternatives as reuse strategies (both laboratory and homemade static oven, ultraviolet germicidal irradiation) readily implemented have been modelled to calculate the CF of a single use of an FFP2 mask.

The production of textiles in PP, followed by disposal was the main contributor to CF of the single-use FFP2 mask, followed by packaging and transportations. PP and PE were the least impacting, PC, cotton and Nylon 6-6 of the same weight results the worst. PLA has an impact greater than PP and PE obtained from crude oil, followed by PUR and PS. Static laboratory oven obtained an 80.4% reduction of CF with respect to single use PP-made FFP2 mask, whereas homemade oven obtained a similar 82.2% reduction; UV cabinet is the best option, showing an 89.9% reduction.

The key strategies to reduce the environmental impacts of the masks (research for new materials and reuse with sanitisation) should ensure both the retention of filtering capacities and the sanitary sterility of the reused ones. Future developments should include evaluations of textile recycling impacts, using new materials and the evaluation of the life cycle costs of the reused masks.

This paper intends to provide to stakeholders (producers, consumers and policy makers) the tools to choose the best option for producing and reuse environmentally friendly protective facial masks to be used in the food sector, by using both different materials and easily implemented reuse strategies.

The reduction of the CF of protective facial masks in the food sector surely will have relevant positive effects on climate change contributing to reach the goals of reducing CO₂ emissions. The food sector may promote sustainable practices and attract a niche piece of clients particularly sensible to such themes.

The paper has two major novelties. The first one is the assessment of the CF of a single use of an FFP2 mask made with different materials of the non-woven filtering layers; as the major contribution to the CF of FFP2 masks is related to the non-woven textiles manufacturing, the authors test some other different materials, including PLA. The second is the assessment of the CF of one single use of a sanitised FFP2 mask, using different sanitation technologies as those allowed in bars or restaurants.

The purpose of this paper is to determine the type and severity of domestic violence faced by Indian women. An attempt has also been made to analyze and interpret demographic variations of domestic violence. The authors have highlighted steps taken by several government, community and private organizations on issues of domestic violence.

The analysis of National Family Health Survey (NFHS)-III data (2005) was used for determining the socio-economic factors, which are predictors of domestic violence against spouses and children. Logistic Regression Technique was applied.

Results suggest that increased formal education for women, increase in family wealth, and financial independence may decrease spousal violence. Younger women and those who belong to a nuclear family are more vulnerable to spousal violence.

The research paper only limits its focus on women in India in the age group of 15-49. A cross-country comparison and a longitudinal study would have given better idea on the issue. Besides in India, there are serious issues of concerns of violence against children and elders which have not been part of discussion on this paper.

The paper not only discusses causes of domestic violence but also on its effects on physical and psychological well-being of women and children.

The uniqueness of the study lie in on not only extracting out from NFHS survey-III data, the socio-economic factors which are determinants of domestic violence but also analyzing the politico-religious-cultural factors which play major role on the issue. The authors have also thrown light on consequences of domestic violence.

Even though emotional intelligence (EI) is reported to have many benefits, yet it remains mainly unexplored in the construction industry. This paper aims to present a critical review of EI research in the construction industry.

Search of literature was conducted by using Scopus engine. Relevant keywords were used to discover 146 publications. The titles, abstracts, keywords and full texts of the publications were examined to finally select 48 publications that were relevant. Scientometric analysis was undertaken with the aid of VOSViewer. Content analysis systematically reviewed the key themes.

The five topmost countries conducting research into EI in the construction industry are UK, Australia and the USA. The most influential authors in construction EI research are Goleman, D., Salovey, P. and Mayer, J.D. The significant impact of EI on leadership in the construction industry were that EI boosted transformational leadership style and EI influenced use of management-by-exception active style by construction leaders. Furthermore, EI leads to resilience against stress and EI enhances stress tolerance were the significant roles of EI on stress management.

A limitation is in the number of publications reviewed. In spite of the critical review, the number of publications reviewed may not be exhaustive.

This research enhances knowledge and stimulates a deeper comprehension of EI research and also provides recommendations for further studies based on identified research gaps.

As a pioneering study that combines scientometrics and systematic review for EI research, this study enhances knowledge on EI in the construction industry.

This study aims to analyze and understand mutual relationships between lean and agile enabling factors in the context of the construction domain and put forth the most driving and dependent enablers for a hybrid lean–agile system (HLAS).

A threefold research flow is adopted. First, the content analysis of literature stemmed from the identification of preliminary enablers (n = 26). Second, a questionnaire survey (n = 101) is administered to downsize enablers to ten using the relative importance index. Further, in the third phase, interpretive structural modeling (ISM) and the cross-impact matrix multiplication applied to classification analysis were performed amid the ten key enablers through pairwise interactions from subject matter experts (n = 19). Hierarchical representation of enablers has been presented, which facilitates a conceptual model for application in the construction industry.

The ISM model demonstrates a three leveled classification structure that showcases direct and transitive relationships among various enablers. “Use of project management tools” is the driving enabler, followed by “collaborative and common data platform working” and “institution of team training” are critical enablers to HLAS adoption.

A structured way of identification of interdependent among lean–agile is a vital unique contribution to this study. The results serve as a knowledge base for practical adoption of HLAS and may prove to be influential in developing a framework for easier adoption in developing countries.