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Initiator crimes, also known as near-repeat crimes, occur in places with known risk factors and vulnerabilities based on prior crime-related experiences or information. Consequently, the environment in which initiator crimes occur might be different from more general crime environments. This study aimed to analyse the differences between the environments of initiator crimes and general crimes, confirming the need for predicting initiator crimes.

We compared predictive models using data corresponding to initiator crimes and all residential burglaries without considering repetitive crime patterns as dependent variables. Using random forest and gradient boosting, representative ensemble models and predictive models were compared utilising various environmental factor data. Subsequently, we evaluated the performance of each predictive model to derive feature importance and partial dependence based on a highly predictive model.

By analysing environmental factors affecting overall residential burglary and initiator crimes, we observed notable differences in high-importance variables. Further analysis of the partial dependence of total residential burglary and initiator crimes based on these variables revealed distinct impacts on each crime. Moreover, initiator crimes took place in environments consistent with well-known theories in the field of environmental criminology.

Our findings indicate the possibility that results that do not appear through the existing theft crime prediction method will be identified in the initiator crime prediction model. Emphasising the importance of investigating the environments in which initiator crimes occur, this study underscores the potential of artificial intelligence (AI)-based approaches in creating a safe urban environment. By effectively preventing potential crimes, AI-driven prediction of initiator crimes can significantly contribute to enhancing urban safety.

A shared set of moral standards, ethical principles and behavioral norms of social structure can be referred to as culture. Many health problems are strongly influenced by one’s cultural background. The purpose of the paper is to examine the scientific explanation of indigenous norms and practice of health healing.

This qualitative study considered in-person interviews to know the Tribals’ indigenous healing practice in Bangladesh. A focus group discussion with five tribal students was conducted to form a baseline on Tribals’ norms, rituals and information-sharing behavior. Around 35 tribal students were interviewed to find out their healing practices, norms and rituals on health issues. All these practicing indigenous knowledge were documented instantly. Peer-reviewed scientific papers from renowned databases were searched to have scientific evidence on each case. All the studies having negative or positive evidence were mentioned with each case.

The findings showed more indigenous knowledge with scientific disagreements on health aspects among the Tribals’ health practice in Bangladesh. However, the positive impact of such knowledge is not negligible. Therefore, showcasing the scientific tribals’ indigenous knowledge to a global audience is a strong recommendation.

Health and health care-seeking behavior among the tribal population in Bangladesh is not a new area of research, few studies have focused on the context, reasons and choices in patterns of health care-seeking behavior; obstacles and challenges faced in accessing health-care provision in the tribal areas in the country. However, research attempts to show the relationship between ecological knowledge and scientific indication is new in nature.

This study aims to systematically reveal the complex interaction between uncertainty and the international commodity market (CRB).

A composite uncertainty index and five categorical uncertainty indices, together with wavelet analysis and detrended cross-correlation analysis, were used. First, in the time-frequency domain, the coherency and lead-lag relationship between uncertainty and the commodity markets were investigated. Furthermore, the transmission direction of the cross-correlation over different lag periods and asymmetry in this cross-correlation under different trends were identified.

First, there is significant coherency between uncertainties and CRB mainly in the short and medium terms, with natural disaster and public health uncertainties tending to lead CRB. Second, uncertainty impacts CRB more markedly over shorter lag periods, whereas the impact of CRB on uncertainty gradually increases with longer lag periods. Third, the cross-correlation is asymmetric and multifractal under different trends. Finally, from the perspective of lag periods and trends, the interaction of uncertainty with the Chinese commodity market is significantly different from its interaction with CRB.

First, this study comprehensively constructs a composite uncertainty index based on five types of uncertainty. Second, this study provides a scientific perspective on examining the core and diverse interactions between uncertainty and CRB, as achieved by investigating the interactions of CRB with five categorical and composite uncertainties. Third, this study provides a new research framework to enable multiscale analysis of the complex interaction between uncertainty and the commodity markets.

This study aims to adjust Thesis-type properties on Schema.org using metadata models and standards (MS) (Bibframe, electronic thesis and dissertations [ETD]-MS, Common European Research Information Format [CERIF] and Dublin Core [DC]) to enrich the Thesis-type properties for better description and processing on the Web.

This study is applied, descriptive analysis in nature and is based on content analysis in terms of method. The research population consisted of elements and attributes of the metadata model and standards (Bibframe, ETD-MS, CERIF and DC) and Thesis-type properties in the Schema.org. The data collection tool was a researcher-made checklist, and the data collection method was structured observation.

The results show that the 65 Thesis-type properties and the two levels of Thing and CreativeWork as its parents on Schema.org that corresponds to the elements and attributes of related models and standards. In addition, 12 properties are special to the Thesis type for better comprehensive description and processing, and 27 properties are added to the CreativeWork type.

Enrichment and expansion of Thesis-type properties on Schema.org is one of the practical applications of the present study, which have enabled more comprehensive description and processing and increased access points and visibility for ETDs in the environment Web and digital libraries.

This study has offered some new Thesis type properties and CreativeWork levels on Schema.org. To the best of the authors’ knowledge, this is the first time this issue is investigated.

Abuja, the capital city of Nigeria, is one of the fastest growing capital cities in sub-Saharan Africa. Recently, the city is experiencing an alarming rate of burglary and violent crimes, while the city planning management frameworks lacks adequate and effective crime mapping, monitoring and management techniques necessary for achieving liveable and safe environment for habitation despite its grandiose spatial planning and aesthetically appealing architectural design as a modern city. Based on police crime records (2007–2018) and geospatial analysis, this paper aims to provide adequate understanding on the interplay of land use configuration and burglary crime formation in residential neighbourhoods of Abuja, Nigeria.

The methods used for the purpose of data collection includes; field survey, Block Environmental Inventory, while inferential statistics and Geographic Information System tools was used for data analysis. The analysis established that Lagos, Nsukka and Enugu Streets are hotspots; while Chief Palace street, Ladoke Akintola and Oka-Akoko streets were found to be cold spots.

This study, however, established the applicability of crime pattern, opportunity theory and routine activity theory in understanding the rising burglary crime events in the study areas and the link between physical characteristics of street block typology and burglary crime pattern. The results of the analysis has in a way affirmed the positions of the theories, while disagreed with them in cases where the results indicated contrary outcome.

This paper concluded with inference drawn from the results that supported mixed-use development but with built-in crime prevention through environmental design strategies as effective burglary crime prevention mechanisms that contribute to crime rate reduction.

CPTED’s premise to the improvement of quality of life (QOL) is crime prevention and safety, and yet there is little concern for the impact of CPTED implementation to QOL when the crime increases after the interventions.

This study systematically analyzed articles both quantitatively and qualitatively.

This study found that the CPTED–QOL relationship discussion was highly inadequate in research. Improvement of QOL has been elevated to an unquestionable and certain truth of CPTED and yet the evidence on this is highly inconclusive.

This study is a contribution to the CPTED–QOL discussion that has been lacking.

This study aims to explore the determinants of engagement with and of stakeholders in corporate social responsibility (CSR) decision-making.

Using stakeholder theory, this study is mainly based on business ethics and CSR literature to develop a model depicting social and organizational contextual factors for engagement in the context of CSR decision-making.

This study identifies nine antecedents for engagement with and of stakeholders in CSR decision-making. Based on stakeholder perspective, the author explores how engagement constructs are influenced at both social and organizational levels by the determinants stakeholder pressure, stakeholder roles, stakeholder resources, stakeholder relationships, stakeholder management, two-way communication, procedural justice, interactional justice and stakeholder proactive strategy.

This study provides insights for companies regarding the determinants underlying engagement to reflect its importance in the context of CSR decision-making.

A better understanding of the determinants of engagement is critical because engagement contributes to achieving “win-win” solutions that ensure increased stakeholder satisfaction.

To the best of the author’s knowledge, this paper is one of the first to explore the determinants of engagement with and of stakeholders in CSR decision-making at both social and organizational levels by referring to stakeholder theory.

This study aimed to address a gap in subcontractor management by focusing on previously unexplored complexities surrounding subcontractor management in developing countries. While past studies concentrated on selection and relationships, this study delved into how effective subcontractor management impacts project success.

This study used the Bayesian Network analysis approach, through a meticulously developed questionnaire survey refined through a piloting stage involving experienced industry professionals. The survey was ultimately distributed among participants based in Accra, Ghana, resulting in a response rate of approximately 63%.

The research identified diverse components contributing to subcontractor disruptions, highlighted the necessity of a clear regulatory framework, emphasized the impact of financial and leadership assessments on performance, and underscored the crucial role of main contractors in Integrated Project and Labour Cost Management with Subcontractor Oversight and Coordination.

Previous studies have not considered the challenges subcontractors face in projects. This investigation bridges this gap from multiple perspectives, using Bayesian network analysis to enhance subcontractor management, thereby contributing to the successful completion of construction projects.

The Canadian government legalized cannabis in 2018 and funded harm reduction campaigns to educate youth about the risks. Cannabis can contribute to psychosis in vulnerable populations, and consumption is common among youth in Early Psychosis Intervention (EPI) programs. The purpose of this study is to understand the views of youth in EPI programs on the risks related to cannabis and methods to reduce those risks.

A qualitative design and thematic analysis were used to understand the perspectives of youth in EPI programs (n = 15) towards cannabis risks and harm reduction.

Participants associated Δ−9 tetrahydrocannabinol (THC) with problems related to cognition, psychosis, respiration, addiction, motivation, finances, relationships and anxiety. Cannabidiol (CBD) was believed to be safe and risk-free. To reduce the risks associated with THC, participants suggested using in moderation, delaying use, using CBD over THC, accessing legal sources, avoiding high THC dosages and using non-combustible methods.

Participants self-selected to participate, were psychiatrically stable and may not represent youth in EPI programs with more severe psychotic symptoms.

Assessing risk perceptions, motives for use and perspectives towards the cannabis and psychosis connection can reveal educational needs. CBD may offer a harm reduction option for EPI clients wanting to decrease THC intake, though more research is needed and adverse effects should be explained. Educational campaigns should disseminate the connection between cannabis and psychosis to facilitate early intervention.

This study adds to the literature by highlighting knowledge of harm reduction methods and gaps in risk awareness among EPI program youth.

Teams across a wide range of contexts must look beyond task performance to consider the affective, cognitive and behavioral health of their members. Despite much interest in team health in practice, consideration of team health has remained scant from a research perspective. The purpose of this paper is to address these issues by advancing a definition and model of team health.

The authors review relevant literature on team stress, processes and emergent states to propose a definition and model of team health.

The authors advance a definition of team health, or the holistic, dynamic compilation of states that emerge and interact as a team resource to buffer stress. Further, the authors argue that team health improves outcomes at both the individual and team level by improving team members’ well-being and enhancing team effectiveness, respectively. In addition, the authors propose a framework integrating the job demands-resources model with the input-mediator-output-input model of teamwork to illustrate the behavioral drivers that promote team health, which buffers teams stress to maintain members’ well-being and team effectiveness.

This work answers calls from multidisciplinary industries for work that considers team health, providing implications for future research in this area.