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Structural mentoring barriers are policies, practices and cultural norms that collectively disadvantage marginalized groups and perpetuate disparities in mentoring. This study aims to better understand structural mentoring barriers at the postdoctoral training stage, which has a direct impact on faculty diversity and national efforts to retain underrepresented groups in research careers.

A diverse sample of postdoctoral scholars (“postdocs”) from across the USA were asked to participate in focus groups to discuss their training experiences. The authors conducted five 90-min focus groups with 32 biomedical postdocs, including 20 (63%) women and 15 (47%) individuals from underrepresented racial/ethnic groups (URG).

A social-ecological framework was used to categorize both the upstream and downstream manifestations of structural mentoring barriers, as well as mentoring barriers, overall. Notable structural barriers included: academic politics and scientific hierarchy; inequalities resulting from mentor prestige; the (over) reliance on one mentor; the lack of formal training for academic and non-academic careers; and the lack of institutional diversity and institutional mentor training. To overcome these barriers, postdocs strongly encouraged developing a network or team of mentors and recommended institutional interventions that create more comprehensive professional development, mentorship and belonging.

For postdoctoral scientists, structural mentoring barriers can permeate down to institutional, interpersonal and individual levels, impeding a successful transition to an independent research career. This work provides strong evidence for promoting mentorship networks and cultivating a “mentoring milieu” that fosters a supportive community and a strong culture of mentorship at all levels.

The main purpose of this article is to characterize a novel neutrosophic hypersoft set hybrid called possibility single-valued neutrosophic hypersoft set (psv-NHSS) for evaluation of investment projects by using its aggregation operations and decision-support system.

Two approaches are employed in this article: set-theoretic approach and algorithmic approach. The former one is used to characterize the novel notion of psv-NHSS and its aggregations. The later one is used to construct a decision-support system by using the aggregations like core matrix, maximum-valued decision, minimum-valued decision and scoring-valued decision of psv-NHSS. The adopted algorithm is implemented in real-world scenario of hydroelectric power station project evaluation for investment purpose.

The proposed model is more flexible and reliable as it addresses the limitations of literature on neutrosophic set, neutrosophic soft set and other fuzzy set-like models by considering possibility degree, hypersoft setting and neutrosophic setting collectively.

It has limitations for decision-making situations where selection of parameters is of uncertain nature.

The scope of this study may cover a wide range of applications in many fields of mathematical sciences like artificial intelligence, optimization, multiple-criteria decision-making (MCDM), theoretical computer science, soft computing, mathematical statistics, etc.

The proposed model bears the characteristics of most of the relevant existing models collectively and fulfills their insufficiencies by introducing a novel approximate mapping.

In this article, the elementary notions and aggregation operations of single-valued neutrosophic parameterized complex fuzzy hypersoft set (sv-NPCFHSS) are characterized initially. Then by using matrix version of sv-NPCFHSS, a decision-support system is constructed for the evaluation of real estate residential projects by observing various risk factors.

Two approaches are utilized in this research: set-theoretic approach and algorithmic approach. The first approach is used to investigate the notions of sv-NPCFHSS and its some aggregations whereas the second approach is used to propose an algorithm for designing its decision-support system by using the aggregation operations like reduced fuzzy matrix, decision matrix, etc. of sv-NPCFHSS. The adopted algorithm is validated in real estate scenario for the selection of residential project by observing various risk factors to avoid any expected investment loss.

The proposed approach is more flexible and reliable as it copes with the shortcomings of literature on sv-neutrosophic set, sv-neutrosophic soft set and other fuzzy soft set-like structures by considering hypersoft setting, complex setting and neutrosophic setting collectively.

It has limitations for complex intuitionistic fuzzy hypersoft set, complex neutrosophic hypersoft set and other complex neutrosophic hypersoft set-like models.

The scope of this research may cover a wide range of applications in several fields of mathematical sciences like artificial intelligence, optimization, MCDM, theoretical computer science, soft computing, mathematical statistics etc.

The proposed model bears the characteristics of most of the relevant existing fuzzy soft set-like models collectively and fulfills their limitations.

This study sought to better understand how to support and plan for a collaborative effort that brought educators together from three universities in the United States and Pakistan. This project sough to foster collaborative relationships between the two countries by expanding knowledge, collaboration, and capacity in middle schools in the Punjab region of Pakistan with a particular focus on underrepresented students and middle grades STEM instruction.

This study was informed through the use of formative survey data gathered from the workshop participants throughout the course of the week. The researchers conducted pre and post surveys of 22 participants using Likert scale items.

This project provided insights regarding curriculum alignment, engaging communication, teacher-centered formative data. These findings offered insights on how to grow as reflective practitioners and researchers, and how to form a robust multi-national professional learning community.

The survey data were gathered from participants who willingly sought professional development in one region of Pakistan. The sample was small (four participating middle schools and one local university) and thus the findings cannot be necessarily generalized to a greater population.

This project provides practical insights of how teams can work together in regard to building a professional learning community. Teams can plan with intentionality, foster various modes of discussion, and empower both teachers and students to inquire, solve problems, and share their insights.

The STEM topics in this study are important across continents. Navigating time constraints and distance is feasible through communication, attention to objectives and clarity in goals, and a desire to learn outside of one’s usual comfort zones.

This project was unique in the time and space in which it was designed and implemented, yet it offers value in fostering ongoing collaboration through various modalities and in being intentional in the planning process.

This study aims to examine whether information asymmetry (IA) mediates the relationship between women directors and the cost of equity (COE). Specifically, this study posits that women directors tend to lower the COE through the channel of IA.

This study uses the US-listed firms’ data from 2002 to 2014, comprising 11,189 firm-year observations. This study measures the COE by aggregating the four unique market-based COE models and apply pooled ordinary least square to estimate our results.

This study documents that women directors are linked to IA, and that IA is linked to the COE. Furthermore, in the mediation test, IA fully mediates the relationship between women directors and the COE. This study's results also validate the critical mass hypothesis, as the IA shows full mediation between the critical mass of women directors and COE. This study also discusses the limitations and major implications of the results along with possible future directions.

This study also supports the positive role of females in improvising the economic performance of the firms and supporting the sustainable development goals-5 (gender equality).

The originality of this study lies in its theoretical as well as empirical contributions. First, this study follows the line of inquiry of the mediation analysis, thereby contributing by examining whether the relationship between women directors and financial value, i.e. COE, is indirect. Second, in addition to ex post measures of the COE, this study used four ex ante unique market-based models to measure the COE. Most of the prior studies just rely on book-based measures or use a single market-based mode. Third, the findings contribute insights into how women directors add value and benefits firms.

This study aims to examine the associations between socioeconomic status, types of rigging (pre- polling-day and post-), politics and voting behavior, vote casting and perceptions of rigging in Pakistan’s most recent elections, and attitudes toward electoral integrity.

Data were collected from students at three different universities. In all, 748 units of analysis (488 male and 260 female) recorded their responses by means of a self-structured questionnaire. Linear regression was applied to measure the associations between variables, and the reliability and validity of the scales were tested.

A significant relationship was found between pre-poll rigging, post-poll rigging, politics and voting behavior, socioeconomic characteristics (i.e. age, education, father’s education, background or place of residence and monthly household incomes), the perception of rigging in the last elections and attitudes toward electoral integrity.

Pakistan’s history has been blemished by electoral malpractices during both de facto and de jure regimes. Attention has formerly been paid to either polling-day or post-election rigging. The relationship of electoral integrity with different factors explored in this study have usually been ignored or overlooked. The findings of this study would help policy-makers, youth experts and academicians to reorient their behaviors to strengthen political stability, the rule of law and the continuation of democracy via their participation in the system.

To the researchers’ best knowledge, there has not been a single peer-reviewed study of Pakistan which has explored the associations between the variables examined for this study. The main academic challenge the researchers faced was to find a standardized and contextualized scale or tool to explore how different types of vote-rigging affected attitudes toward electoral integrity. Thus, the structured scales for types of rigging and electoral integrity developed here would be useful for future studies in the field of electoral integrity in democratic countries.

The purpose of this paper is to reviews some of the learnings, challenges and solutions suggested by the article author regarding the role of implementing emotional intelligence by corporate social responsible (CSR) leaders and offers ideas for future research. The aim is to offer a positive conclusion to the problems and their solutions.

The study investigates the relationship between emotional intelligence and effective CSR leadership. The author evaluates the body of research on the issue and provides a reassuring assessment of the problems and recommendations.

Having emotional intelligence is essential for executives who wish to implement successful CSR initiatives. It allows CEOs to create a culture of social responsibility inside their organizations, highlight the importance of CSR initiatives and strengthen relationships with stakeholders. Key emotional intelligence traits, including self-awareness, self-regulation, motivation, empathy and social skills, are necessary for effective CSR leadership.

The study focuses on the role of emotional intelligence in corporate social responsibility leadership, offering a unique perspective on the subject. It also explores practical solutions and ideas for future research, adding originality and value to the existing body of literature on emotional intelligence and CSR leadership.

The purpose of this paper is to empirically investigate the impact of weather index insurance on agricultural technology adoption in rural China.

A field experiment was conducted with 344 rural households/farmers in Heilongjiang and Jiangsu Provinces, China. DID model was used to evaluate farmers’ technology adoption with and without index insurance.

The results show that weather index insurance has a significant effect on the technology adoption of rural households; there is a regional difference in this effect between Heilongjiang and Jiangsu. Weather index insurance promotes technology adoption of rural households in Heilongjiang, while has limited impact on those in Jiangsu. Weather, planting scale and risk preference are also important factors influencing the technology adoption of rural households.

This research is subject to some limitations. First, the experimental parameters are designed according to the actual situation to simulate reality, but the willingness in the experiment does not mean it will be put into action in reality. Second, due to the diversity of China’s climate, geography and economic environment, rural households are heterogeneous in rural China. Whether the conclusion can be generalized beyond the study area is naturally questionable. A study with more diverse samples is needed to gain a fuller understanding of index insurance’s effects on farmers in China.

This research provides a rigorous empirical analysis on the impact of weather index insurance on farmers’ agricultural technology adoption through a carefully designed field experiment.

Islamic marketing ethics focus on the principles of equity, justice and value maximization for the welfare of society. These ethics play a vital role in elevating the standards of customer behavior. The strategy of focusing customer is now considered as important element because of rapidly changing marketing trends in Islamic banks. Therefore, the purpose of this study is to find out the important features of Islamic marketing ethics and identify their effect on customer’s satisfaction in Islamic banking.

This study is descriptive and quantitative. Data were collected from 1000 customers of Islamic banks by applying convenient sampling technique. Smart PLS was used to check the scale validation by confirmatory factor analysis. To test the hypotheses, structural equation modeling technique was used.

Results enlightened that Islamic marketing ethics play a significant role in enhancing the customer’s satisfaction. Islamic banks should focus on marketing mix along with Islamic and ethical perspectives to improve the customer’s satisfaction level.

This study highlighted that Islamic marketing ethics have great impact on customer satisfaction. Therefore, Islamic banks need to concentrate on the ethical perspective of Islamic marketing in order to develop long term customer relationships. Islamic banks need to revise their marketing practices, and they should align their marketing tactics with ethical Islamic boundaries. They need to design, communicate and enforce the code of Islamic ethics within organizations.

This paper fulfills an identified need to study how Islamic marketing ethics effect customer satisfaction.

The purpose of this paper is to identify the perceptions of farmers on the major sources of risk and to examine the effectiveness of the risk management responses of rural smallholder farm households in the semi-arid region of Northern Ghana from the socioeconomic perspective.

Both descriptive statistics and exploratory factor analysis were used on a Likert scale question to rank and identify the important risk perceptions and management strategies of the farmers. The linear regression model was used to highlight the significant factors that affect the farmers’ risk perception and management responses.

The effects of the variations in crop yield, fertiliser prices and crop price on household income were perceived as the three most relevant sources of risk. Stabilising household income by growing different crops, storing feed/seed reserves and spreading sales were the most effective risk management strategies. Factor analysis identified market risk, production risk and human risk as major risk factors whereas diversification, financial strategy, and off-farm employment were perceived as the most effective risk management strategies. Farm and farmer characteristics were found to be significantly associated with risk perceptions and risk management strategies. Risk perceptions significantly increase the risk management strategy adopted by the smallholder rural farmers.

The findings of the paper call for the integration of farmers’ risk perceptions and management strategies in the development of agricultural policies for the semi-arid regions of Ghana.

This paper deviates from the traditional technology adoption studies by modelling rural household perceptions and management strategies using, using descriptive, factor analyses, and linear regression.