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Black women have been practically erased from reviews of environmentally-conscious songs. This may result from past findings demonstrating Black women’s disinterest in environmental issues, despite them having increased exposures to environmental degradation and subsequent adverse health outcomes. However, this assertion did not take into account Black women’s standpoints, nor the creative, alternative locations Black women use to express and engage in social issues—songs.

In this paper, I utilize Black feminist thought, a critical social theory and its matrix of domination as an analytical framework to understand and analyze Black women’s expression and engagement in environmental issues through song. Sample lyrics from one of the most popular blues songs that focus on an environmental theme is analyzed: Bessie Smith’s “Backwater Blues.” By demonstrating the viability of this strategy, I simultaneously evidence how Smith kept Black feminist thought’s Black women’s blues tradition.

This paper explores insights about an alternative location Black women use to express and engage in environmental issues– songs. It suggests that Black feminist thought’s matrix of domination is an effective analytical framework to highlight Black women’s expression and engagement in environmental issues and identify the power structures that shape them. It is also shown that Smith kept Black feminist thought’s Black women’s blues tradition. The environmental and related fields would benefit from incorporating Black feminist thought and creative expressions, such as songs, into the field to expand its thought, approaches and ultimately, its equitable impact.

This paper builds on and expands existing environmental literature by analyzing Black women’s expression and engagement in environmental issues from a Black women’s standpoint through the use of songs.

Integrating project scheduling and material ordering problems is vital in realistically estimating project cost and duration. Also, the quality level of materials is important as one of the key project success factors.

In this paper, a three-objective mathematical model is presented for green project scheduling with materials ordering problems considering rental resources. The first objective is to minimize the total cost of the project site and logistics. The second objective is to minimize the environmental impacts of producing materials and the third objective is to maximize the total quality of materials. Since costs trigger several challenges in projects, cost constraints are considered in this model for the first time and also the cost of delay in supplying of materials by the suppliers has been deducted from the project costs. Subsequently, the model was implemented in a real case and solved by the Lagrangian Relaxation algorithm as an exact method on GAMS software for model validation.

Based on sensitivity analysis of some parameters, the findings indicate that the cost constraint and lead time have considerable effects on the project duration. Also, integrating project scheduling and material ordering improves the robustness of the project schedule.

The primary contributions of the present research can be stated as follows: considering the cost constraints in the project scheduling with material ordering problem, incorporating the rental resources and taking the quality levels of materials as well as the environmental impacts into account.

The purpose of this study is to focus on the impact of environmental factors on capital flight from BRICS countries. This study proposes modelling the different natural resource rents including coal, oil, gas, mineral and forests with capital flight outlining how the resource extraction cause corruption and rent seeking leading to outflow of resident capital.

World Bank residual method is used for estimation of capital flight followed by dynamic common correlated effect (DCCE) approach developed by Chudik and Pesaran (2015) for empirical analysis. To ensure the reliability and robustness of results, this study constructs a Natural Resource Rent Index (NRRI) using principal component analysis (PCA) of various resource rents including coal, oil, gas, mineral and forests.

The econometric analysis reveals that natural resource rents significantly contribute to resident capital outflows from BRICS countries. Furthermore, this study finds that increased government involvement in resource extraction significantly reduces capital flight.

The findings of this study emphasize the necessity of proactive policy measures to mitigate capital flight from BRICS countries, particularly through enhanced government engagement in resource management.

This study fills literature gap by identifying how environmental factors fuel capital flight in BRICS economies.

The COVID-19 pandemic was an eye-opening experience that put to the test our crisis management competencies across many institutions, including those offered by institutions of higher education. This study aims to review the literature on international business (IB) risks and IB education (IBE) to question whether business graduates are equipped to make decisions in today’s volatile, uncertain, complex and ambiguous (VUCA) marketplace.

While the IB literature has discussed the importance of various sources of risks on global business operations, IBE did not effectively adopt an integrative approach to building the needed risk management competencies related to those risks into our education. The authors argue that this integrative approach to teaching IB is critically needed to prepare future global managers for addressing crises, like that of the pandemic and others. Specifically, this study proposes that this integrated risk management competency can be developed through the building of “synergistic mindsets”.

This study presents a conceptual framework for the components of the synergistic mindset, with intelligence that directly links to present IB risks. These components are cultural intelligence (CQ), emotional intelligence (EQ), public policy intelligence (PPQ), digital intelligence (DQ) and orchestration intelligence (OQ).

Insights related to IBE effectiveness in addressing today’s VUCA market demands and IB risks are discussed.

This paper aims to test a contingency-based path model that concurrently links the role of management accountants (MA) and advanced manufacturing technologies (AMTs) to cost system sophistication (CSS), as well as linking the latter to improvements in organisational performance through improving cost management and product planning decisions.

This paper used the questionnaire survey strategy to collect data from 373 medium and large manufacturing business units based in the UK, then subjected the data to structural equation modelling analysis to test a contingency-based path model.

The results show that the role of MAs and AMTs positively influence CSS. Moreover, it was found that the latter is positively associated with improvements in cost management decisions which, in turn, lead to improvements in organisational performance. However, no support was found for the association between the level of CSS and improvements in product planning decisions, although the latter was found to be positively associated with organisational performance. These results confirm the theory and empirical findings regarding the role that MAs and AMTs play in designing the cost accounting system, and support the argument that adopting sophisticated cost systems does not lead directly to improvements in organisational performance, unless the benefits of such systems, in terms of improved decision-making and cost applications, are used.

This research contributes to the literature by testing a contingency-based path model that incorporates hitherto underexamined contextual factors, namely, the role of MAs and AMTs; examining the effect of CSS on a critical output, organisational performance and the mechanisms of this effect; and considering the complexity of the business environments through the concurrent testing of the relationships involved in the research model.

This research primarily aims to investigate the impact of organizational implants on knowledge transmission, process innovation and security integration in intricate supply chains.

The research utilizes a mixed-method approach, employing a stratified sampling strategy to get a representative sample of 1,284 enterprises from various sectors within the logistics industry within the European Union. Data were gathered by computer-assisted web interviewing (CAWI) and analysed utilizing structural equation modelling (SEM) to evaluate hypotheses concerning cognitive congruence, process diffusion and security integration.

The results indicate that while task interdependence clearly improves face-to-face communication, excessive cognitive congruence can hinder process innovation, resulting in what the article terms “cognitive rigidity.” The study suggests that achieving a balance between cognitive congruence and cognitive flexibility is crucial to improving the safety diffusion and integration process.

This study presents an innovative conceptual framework that synthesizes cognitive congruence, cognitive flexibility and cognitive rigidity to examine their combined influence on knowledge transfer and process dissemination throughout supply chains. It presents cognitive stiffness as a boundary condition, contesting the conventional belief that more cognitive congruence is invariably advantageous.

The purpose of this study is to investigate the mediating influence of three digitalization antecedents on the links between digitalization and survival. It addresses the roots of digitalization to discover different patterns and foundations that contribute to higher survival rates. The article explores whether a learning strategy can attain survivability on its own or whether digitalization facilitates the function of learning in survival.

The study uses partial least squares structural equation modeling to analyze data from 483 firms to assess this study’s hypothesis. Additionally, necessary condition analysis (NCA) is used to specify the necessary conditions of survivability.

The authors find a positive relationship between digitalization and business survival, as well as evidence of the strong mediating effect of resilience and learning in survivability. In addition, the study reveals that digitalization can serve as a sufficient condition for survival but not a necessary one, as it may be replaced by the mediating variables.

The research offers insights into digitalization’s impact on business survival but faces limitations such as geographic focus and reliance on self-reported data. Despite this, it contributes to theory and practice by exploring how digitalization, organizational capabilities and resilience intersect.

This study provides insights into the required parameters for survival and the elimination of outliers in NCA.

This work provides insights into different antecedents of digitalization and business survival.

Cost overrun in infrastructure projects is a constant concern, with a need for a proper solution. The current estimation practice needs improvement to reduce cost overruns. This study aimed to find possible statistical modelling techniques that could be used to develop cost models to produce more reliable cost estimates.

A bibliographic literature review was conducted using a two-stage selection method to compile the relevant publications from Scopus. Then, Visualisation of Similarities (VOS)-Viewer was used to develop the visualisation maps for co-occurrence keyword analysis and yearly trends in research topics.

The study found seven primary techniques used as cost models in construction projects: regression analysis (RA), artificial neural network (ANN), case-based reasoning (CBR), fuzzy logic, Monte-Carlo simulation (MCS), support vector machine (SVM) and reference class forecasting (RCF). RA, ANN and CBR were the most researched techniques. Furthermore, it was observed that the model's performance could be improved by combining two or more techniques into one model.

The research was limited to the findings from the bibliometric literature review.

The findings provided an assessment of statistical techniques that the industry can adopt to improve the traditional estimation practice of infrastructure projects.

This study mapped the research carried out on cost-modelling techniques and analysed the trends. It also reviewed the performance of the models developed for infrastructure projects. The findings could be used to further research to develop more reliable cost models using statistical modelling techniques with better performance.

The rapid growth of professional esports has highlighted the lack of a universally recognised governing body to standardise operations and competition rules. This absence presents many challenges. A key concern is the well-being of professional esports players (e-pro-players), who often suffer from exhaustion. This study aims to examine the factors contributing to exhaustion among e-pro-players.

Using the conservation of resources theory, we developed a framework to explain the factors leading to e-pro-players’ exhaustion and the conditions under which it occurs. We tested this framework with 126 responses in a dyadic survey from e-pro-players and their coaches in China. Additionally, we gathered qualitative insights from 50 interviews with esports stakeholders to provide more context for our quantitative findings.

Our study found that e-pro-players’ intrinsic motivation to engage in training reduces their exhaustion, while their struggle to cope with uncertainty in esports environments (intolerance of uncertainty) increases it. The effect of intrinsic motivation is weaker for those who believe their talent for playing esports is fixed (entity belief) but stronger for those with high relational identification with their coaches. Additionally, the link between uncertainty intolerance and exhaustion is stronger in players with strong entity beliefs.

Our study sheds light on the factors contributing to e-pro-players’ exhaustion within the partially regulated professional esports environment, a phenomenon that significantly influences their overall well-being. Through the identification and examination of these factors and the conditions under which they affect exhaustion, we deepen the understanding of the drivers of exhaustion for e-pro-players who operate in an industry lacking standardised regulations.

The societal, economic and personal costs of aggression are indisputable. Impulsivity and childhood trauma (CT) play a role in aggression but less is known about the potential mechanisms underlying these associations. This study aimed to investigate the influence of CTs and impulsivity on aggression in the general population.

A total of 178 participants (aged 18–86, M = 30.93, SD = 14.50) including 65 men (36.5%), 110 women (61.8%), 3 participants self-identified (1.7%)(n = 2 nonbinary, n = 1 gender fluid) of the UK adult population completed an online survey. Questionnaires measured impulsivity (Short UPPS-P), adverse childhood experiences (CT Questionnaire) and aggression (Buss and Perry Aggression Questionnaire).

Emotional neglect and abuse were the most endorsed CTs (abuse and neglect). As predicted, results showed the impulsivity facet “negative urgency” was associated with the behaviour, emotions and cognitions of aggression. Findings showed a distinct effect of both impulsivity and emotional abuse on physical aggression, which may reflect a pathway in which impulsivity influences adverse childhood experiences and future violence. Types of aggression may have potentially distinct pathways. This study discusses the reasons for these observed results and future research.

The originality/value of the paper lies in the acknowledgement of the role of negative and positive urgency in behaviours related to emotional dysregulation. It also highlighted the importance of examining different types of aggression. There was a distinct effect of both impulsivity and CTs on physical aggression and hostility. Further research in larger samples should examine pathways in which impulsivity mediates the effects of adverse childhood experiences and adulthood aggression. These collective insights can help further our understanding of the role adverse and traumatic events in childhood and impulsivity has on aggression and may be relevant to tailored support and intervention strategies for individuals expressing aggressive behaviours.