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The purpose of this paper is to assess the perceived level of Jordanian nurses’ competencies in offering care to the community during a disaster.

A correlational descriptive design was used to assess nurses’ competencies in offering care for the community during a disaster.

A total of 370 nurses (55 % males) aged 25−55 agreed to participate. The mean score of competencies of nurses who offer care to the community during the disaster was 2.11 (SD = 0.59) points. The results of correlation coefficient tests revealed a significant positive correlation between stated competencies level and nurses’ sex, receiving disaster education and training with rpb (371) = 0.13, p < 0.01; rpb (598) = 0.15, p = 0.004; rpb (598) = 0.21, p < 0.001, respectively. Furthermore, the “care of communities” subscale had a weak positive correlation with the.

Nurses play a critical role in disaster response. However, there was a gap in nurses’ competencies for disaster, which shows there is a crucial need to include disaster management courses in the nursing curriculum and update disaster management courses in hospitals based on nurses’ needs to improve their competencies during disasters.

This study aims to analyze the critical factors affecting workplace well-being at construction sites across countries with different income levels. Accordingly, this study’s objectives are to identify: critical factors affecting workplace well-being at construction sites in low-, lower-middle-, upper-middle- and high-income countries, overlapping critical factors across countries with different income levels and agreements on the critical factors across countries with different income levels.

This study identified 19 factors affecting workplace well-being using a systematic literature review and interviews with construction industry professionals. Subsequently, the factors were inserted into a questionnaire survey and distributed among construction industry professionals across Yemen, Zimbabwe, Malaysia and Saudi Arabia, receiving 110, 169, 335 and 193 responses. The collected data were analyzed using descriptive and inferential statistics, including mean, normalized value, overlap analysis and agreement analysis.

This study identified 16 critical factors across all income levels. From those, 3 critical factors overlap across all countries (communication between workers, general safety and health monitoring and timeline of salary payment). Also, 3 critical factors (salary package, working environment and working hours) overlap across low-, low-middle and upper-middle-income countries, and 1 critical factor (project leadership) overlaps across low-middle, upper-middle and high-income countries. The agreements are inclined to be compatible between low- and low-middle-income, and between low- and high-income countries. However, agreements are incompatible across the remaining countries.

This study can serve as a standard for maintaining satisfactory workplace well-being at construction sites.

To the best of the authors’ knowledge, this study is the first attempt to analyze factors affecting workplace well-being at construction sites across countries with different income levels.

The construction industry (CI) has been identified as one of the most challenging sectors for stakeholders to achieve organizational success. Although previous studies had examined both organizational leadership (OL) and employee well-being (EWB) in the CI, a bibliometric and systematic analysis of published articles is hitherto lacking. Therefore, this paper aims to conduct a bibliometric and scientometric review of published articles related to OL and EWB in the CI between 2008 and 2022.

A three-step method consisting of a bibliometric analysis, a scientometric analysis and an in-depth discussion were used. A total of 1,114 articles met the inclusion criteria. All articles were retrieved from the Scopus database.

The results present an in-depth discussion of the research publication trends, keywords co-occurrence analysis, document analysis and countries/regions analysis. This review paper identified three main research gaps in OL and EWB in the CI, namely, project management, technology innovation and people orientation. It also proposes “OL-EWB in the CI”' mechanisms and a theoretical framework to guide future research directions.

This review paper theoretically fills the gap in the lack of research summarizing OL and EWB in the CI and provides research gaps and trends for achieving a win-win situation for both companies and employees.

This study aims to examine the effect of Muslim consumers’ religiosity on their brand verdict regarding clothing brands, through the mediating role of decision-making style, brand status and brand attitude.

Structural equation modeling was used to analyze the data collected from 200 clothing buyers in Mashhad, one of Iran’s religious cities.

The results indicate that intrapersonal religiosity, compared to interpersonal religiosity, has a more significant effect on Muslim consumers’ decision-making styles, and different decision-making styles of Muslim consumers affect their brand verdict through brand status and brand attitude.

The research sample consists solely of respondents from the Islamic religion. Therefore, the impact of religiosity might differ among individuals from other religions, such as Christianity and Judaism.

This study’s findings are crucial for clothing brands, both national and international, that cater to the Muslim customers’ market. They need to consider the degree of religiosity when segmenting and targeting their market. This study shows that clothing brand marketers can best influence the brand verdict of Muslim consumers by targeting those with a brand-loyal decision-making style, focusing on their religious beliefs.

To achieve success in Iran’s Muslim market, marketers must consider their consumers’ religious beliefs and tailor their marketing plans accordingly. This study aims to investigate the impact of religiosity on consumer behavior toward brands in Iran’s Muslim market.

This paper discussed quantifying architect, engineer and contractor (AEC) professionals' cross-work culture productivity by comparing between Malaysian and United Kingdom (UK) projects during industrialized building project delivery. This study addressed the second part of a mixed method research design study.

This study hypothesized that with understanding of cultural work knowledge between professionals during design phase coupled with competent technological support, productivity can be improved. It utilized Cognitive Organizational Theory (COT) protocols to test conceptual models in SimVision®. Organizational structure, project intensity, and statistical validations parameters were performed to obtain the reliability and generalization of the result.

This study found that with Building Information Modeling (BIM) technology intervention, the handling of exception, coordination and decision-making time could be improved, resulting in better project performances. The result also indicated that in choosing organizational fit, national culture factor needed to be considered; otherwise, organizational change would be unacceptable. By changing the operational process from intensive to reciprocal task intensity with BIM technology intervention, the effect on productivity would be similar to changing hierarchical organizational structure to flatter organizational structure.

Project discrepancies issues are limitedly discussed due to companies' confidentiality. The paper only focuses on understanding the effects of human factors during the integrated project delivery phase.

The findings could support developing countries' professionals to collaborate effectively with developed countries' professionals.

The development of the project's cultural knowledge experimentations will provide guidance to teams involved in international projects from developed and developing countries in pursuing joint ventures in project deliveries in either country successfully.

The widespread use of washing machines in textile dyeing and finishing boosts product quality while leading to significant wastewater production. This wastewater poses environmental risks due to the textile industry's high pollution levels and water consumption. Sustainability hinges on minimizing water usage and treating wastewater for reuse. This study employs Matlab R2020a and Python 2023 to model experimental designs for treating textile production wastewater using the Fenton oxidation method, aiming to address sustainability concerns in the industry.

The Fenton oxidation process's efficacy and optimal operating conditions were determined through experimental sets employing the Box–Behnken design. Assessing machine learning algorithms on the data, Matlab R2020a utilized an artificial neural network (ANN), while Python 2023 employed support vector regression (SVR), decision trees (DT), and random forest (RF) models. Evaluation of model performance relied on regression coefficient (R2) and mean square error (MSE) outcomes. This methodology aimed to refine the Fenton oxidation process and identify the most efficient parameters, leveraging a combination of experimental design and advanced computational techniques across different programming platforms.

The study identified optimal conditions: pH 3, Fe+2 concentration of 0.75 g/L, and H2O2 concentration of 5 mM, yielding 87% COD removal. The Box–Behnken design achieved a high R2 of 0.9372, indicating precise predictions. Artificial neural networks (ANN) and support vector regression (SVR) exhibited successful applications, notably achieving an R2 of 0.99936 and low MSE of 0.00416 in the ANN (LOGSIG) model. However, decision trees (DT) and random forests (RF) proved less effective with limited datasets. The findings underscore technology integration in treatment modeling and the environmental imperative of wastewater purification and reuse.

This study, in which water use and wastewater treatment are evaluated with technological integration such as machine learning and data management, reveals how to contribute to targets 6, 9, 12, and 14 within the scope of UNEP 2030 sustainable development goals.

Workforce diversity is essential for success from the perspectives of economic development and intellectual property. However, the construction industry is losing out on these gains due to the low diversity among them. The study aims to identify challenges impeding workforce diversity in construction literature through a mixed review approach.

The study desk reviewed 188 relevant construction peer-reviewed articles and conference papers with no restrictions on the time range. The study adopted the mixed methodology review approach through bibliometric and systematic content analyses.

The study identified 67 challenges and further classified them into 4 broad categories. These were industry-related, organisational-, personal or attitudinal- and health-related challenges. Organisational challenges were the most prevalent challenges of diversity uptake in the construction industry. The publications' most influential sources, countries/regions and annual trends were also discussed.

Classifying the challenges hindering diversity contributes to the existing knowledge base. The framework's interrelationships among categorised barriers will enable construction professionals to make informed decisions in promoting diversity in the industry.

This study has a broad geographical reach, allowing the findings to be widely applicable to the diverse practice of the worldwide construction sector.

This study examines the interaction between sales control systems and firm level strategic orientations and their joint effects on company performance in B2B context. Independent and joint effects of market orientation (MO), innovation orientation (IO) and sales control systems (SCS) on firm performance were analyzed.

A quantitative research methodology is adopted to compile firm-level primary data from manufacturing companies located in an organized industrial zone. Research data were collected by face-to-face surveys from 302 sales professionals. The research model and hypotheses were tested by using partial least squares (PLS) structural equation modeling (SEM) with Smart PLS 3.0.

In addition to confirming the positive effects of MO and IO on performance, data analyses revealed that SCS exert an indirect effect on company performance which is fully mediated by MO.

The research was limited to a developing country context and research data was collected from a convenient sample of B2B companies by a cross-sectional study. Cross-cultural and longitudinal studies may provide additional insights. Firm level strategic orientations and sales control systems must be examined together in an integrated way to explore their effects on company performance. The individual effects of these structures on business performance may manifest differently when they come together.

Results indicate that the sales control system setup is critical for the implementation of a market-oriented strategy. This study highlights the importance of setting a compatible sales control system to achieve organizational goals in accordance with the strategic orientations which affect the success of particular organizational strategies.

Although the current literature identifies the independent and joint effects of market orientation and innovation orientation on company performance, empirical studies probing the interaction of sales control systems with these constructs is very scarce. Understanding how sales control systems relate to strategic orientations will help design a more effective sales organization and improve company performance. This study contributes to the literature by promoting additional insights by linking sales control systems with market orientation, innovation orientation and company performance.

This paper aims to examine the longitudinal relationships between the intensity of remote work (IRW) and job performance (JP) with the mediation effect of work–life balance (WLB) and moderation by work overload (WO).

A three-wave longitudinal survey, covering pre-pandemic period, the pandemic itself and the post-pandemic period, was conducted among 291 employees. The authors applied linear regression analysis with a moderated mediation effect and the cross-lagged structural equation model with longitudinal mediation using Mplus 8.

The results show that relationships between IRW and WLB and WLB and JP are negative in the short term; yet over time, employees are able to adapt and benefit from the flexibility offered by remote work (RW). WLB can contribute to better JP in the long run. Furthermore, WLB plays a moderating role in the long-term relationship between RW and JP. There is the second-stage negative moderation effect on this relationship by WO.

This study recommends a proactive approach toward flexible solutions for employees. It explains that the positive effects of IRW for WLB and JP appear in the longer perspective. Support from organizations to mitigate negative short-term effects is required. Organizations can leverage the mediating role of WLB between IRW and JP in the long term by providing resources and support to help employees achieve WLB in RW settings.

This study extends the research on the antecedents of JP of employees and enriches the extant literature that shows inconsistent findings in terms of the relationships among RW, WLB and JP. It also focuses on the rarely explored intensity of RW. It fills the gap in previous research using a longitudinal research approach. The longitudinal data provide unique and innovative insights into the antecedents of JP of employees and explain complex relationships between them in both the short and long term.

Among the topmost challenges, limiting the transformation of conventional public–private partnership (PPP) projects to meet net-zero targets is financial risk. This challenge is more prevalent in PPP projects in developing economies like Ghana, where financial investments have dwindled due to the recent COVID-19 recession. This paper aims to assess the key financial challenges in transitioning to net-zero PPP projects in Ghana.

The research method process was set as follows. First, a review of the literature to identify the major financial risks from journal articles, project reports and documents was undertaken, followed by questionnaire development and collection of data. Finally, the analysis of 134 questionnaire data was examined with the fuzzy synthetic evaluation.

The results indicate that the following financial challenges could hinder the transition to net-zero PPP projects in the country: increasing borrowing charges to build net-zero PPP projects due to the global covid-economic recession, poor project financial management, unstable local capital market and excessive labour, health and safety costs.

Although, the study was conducted in Ghana, a country in the Sub-Saharan African region, the outcomes have significant impacts for similar developing countries in research investigations into the problem.

Assistance is provided in this study for PPP project practitioners in identifying the key financial challenges and possible strategies to mitigate them.

Towards net-zero sustainability, this study highlights the crucial financial barriers to overcome in the rapid transition to climate change and zero carbon solutions in PPP projects.