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This paper examines the influence of micro-credential learning on students' perceived employability. In addition, the study aims to explore different components that will help students to gain knowledge, enhance their careers and develop their human capital (social, cultural and scholastic capital). Hence, the study also analyzed the mediating role of human capital on the aforementioned association.

Explanatory research was conducted by utilizing a correlational research design. A questionnaire comprising of closed-ended items was utilized in the study. The data was analyzed by employing PLS-SEM technique.

Our findings stipulate that micro-credential learning is an essential component to improve students' perceived employability. The study identified that micro-credential programs have a positive relationship with students' perceived employability. Moreover, the findings that micro-credential learning significantly impacts students' human capital, i.e. cultural, social and scholastic capital. Additionally, human capital acts as a significant mediator in the relationship between micro-credential learning and students' perceived employability. Moreover, participation in micro-credential learning can ensure that students can identify diverse career directions, seek information about the labor market and educational system, attain relevant qualifications for their vocations, and develop a plan for their future.

Micro-credential programs are short and focused educational programs that offer specialized knowledge and skills in a particular area. These programs are becoming increasingly popular in the modern workforce to upskill or reskill quickly and efficiently. However, lack of empirical evidence is the ultimate gap in determining the importance of micro-credential learning; as the limited literature is unable to determine the importance of MCL on students' perceived employability. Thus, the study identifies the impact of micro-credential learning on students' perceived employability.

This study aims to show the dyeing behaviour of polyester fabrics using four novel heterocyclic disperse dyes.

The four dyes were synthesized based on 5, 5'-(1, 4-phenylene) bis (1, 3, 4-thiadiazol-2-amine) as a diazonium compound. The UV/Vis absorption spectroscopic data of these disperse dyes while dyeing polyester fabrics were investigated. Following this, the dyeing properties of these dyes on polyester fabrics were investigated under acid condition.

The results showed that increasing the dyeing temperature from 80°C to 100°C led to an increase in dye uptake for all dyes, but further increases of the temperature to 130°C led to higher dye uptake for dye 3 as the dye exhaustion increased by about 50% from 55.9% to 91.4%.

This study is important as it introduces new dyes for the dyeing of polyethylene terephthalate (PET) fibres with colours that range from yellowish orange to bluish yellow and scarlet red and all with excellent brightness, levelness and depth of shade.

A direct correlation exists between waste disposal, disease spread and public health. This article systematically reviewed healthcare waste and its implication for public health. This review identified and described the associations and impact of waste disposal on public health.

This paper systematically reviewed the literature on waste disposal and its implications for public health by searching Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA), PubMed, Web of Science, Scopus and ScienceDirect databases. Of a total of 1,583 studies, 59 articles were selected and reviewed.

The review revealed the spread of infectious diseases and environmental degradation as the most typical implications of improper waste disposal to public health. The impact of waste includes infectious diseases such as cholera, Hepatitis B, respiratory problems, food and metal poisoning, skin infections, and bacteremia, and environmental degradation such as land, water, and air pollution, flooding, drainage obstruction, climate change, and harm to marine and wildlife.

Infectious diseases such as cholera, hepatitis B, respiratory problems, food and metal poisoning, skin infections, bacteremia and environmental degradation such as land, water, and air pollution, flooding, drainage obstruction, climate change, and harm to marine and wildlife are some of the public impacts of improper waste disposal.

Healthcare industry waste is a significant waste that can harm the environment and public health if not properly collected, stored, treated, managed and disposed of. There is a need for knowledge and skills applicable to proper healthcare waste disposal and management. Policies must be developed to implement appropriate waste management to prevent public health threats.

This paper aims to examine female entrepreneurship perceptions at the nexus of understandings of Muslim behaviour in Pakistan, the “formula” of Shapero for considering entrepreneurial intentions and the viewpoints of young Pakistani women.

Data collected from 555 women between 18 and 30 years of age, undertaking tertiary-level business studies in Pakistan constitute the sample of the study, and structural equation modelling was used to test the hypotheses.

This study finds that the respondents’ perceptions of Islam positively impact the formula at the feasibility component, whilst also inverting the desirability component, therefore, resulting in a “does not equal” outcome for intentions.

To the best of the authors’ knowledge, this work is one of the first to empirically examine the role of Islamic perception in shaping entrepreneurial intentions through the individual components of desirability, feasibility and propensity to act. It puts forth contextual deliberations for a meaningful heterodoxy in light of female entrepreneurship in an Islamic country.

The construction industry and its activities harmfully affect the environment. Hence, adopting green building (GRB) practices can be helpful in achieving sustainable development goals. Therefore, this study aims to identify the factors affecting the intention to adopt GRB practices by extending theory of planned behavior (TPB).

Using non-probability purposive sampling technique, data was gathered from consultant and contractor engineers in the construction industry through a questionnaire. The analysis was done using partial least square-structural equation modeling technique on a useful sample of 290.

Findings revealed that the core constructs of TPB [i.e. attitude (AT), subjective norms (SUBN) and perceived behavioral control (PBC)] significantly affect the intention to adopt GRB practices. Moreover, government support and knowledge of green practices (KNGP) were found to be critical influencing factors on AT, SUBNs and PBC. Lastly, the findings confirmed that environmental concerns (ENC) play as a moderating between SUBN and intention to adopt GRB practices, as well as AT and intention to adopt GRB practices.

This study contributes to existing knowledge on GRB, offering evidence base for policy choices regarding climate change adaptation and mitigation in the construction industry.

This study provides insights from the perspective of a developing economy and confirms the applicability of TPB in the adoption of GRB practices. Moreover, this study confirms the moderation role of ENC in between TPB constructs and intention to GRB that is not tested earlier in the context of GRB. This study also confirms that government sustainable support positively affects PBC, and KNGP significantly affects SUBNs.

The relationship between ethnicity, religion and entrepreneurship is an emerging field, and an extremely important topic, considering the influence of these drivers on people’s lives and on entrepreneurs’ performance, in particular. This study aims to explore and contribute to a more robust understanding of this relationship.

The main trends were disclosed using Preferred Reporting Items for Systematic Reviews and Meta-Analysis and VOSviewer. The set of articles cover the annual period from 1973 to 2022. The coupling analysis founded links to produce a framework outlining an integrative state of the art intersecting ethnicity and religion and entrepreneurship spectrum study.

The analysis identified integrative relationships between the concepts of ethnicity, religion and entrepreneurship, which describe the direction of literature, resulting in five main categories.

This study offers a novel framework and in-depth understanding to delve into this interrelationship research agenda. Guided by the gaps in the literature, a set of outstanding avenues for future research are proposed.

The crux of this paper is to unveil efficient features and practical tools that can predict credit default.

Annual data of non-financial listed companies were taken from 2000 to 2020, along with 71 financial ratios. The dataset was bifurcated into three panels with three default assumptions. Logistic regression (LR) and k-nearest neighbor (KNN) binary classification algorithms were used to estimate credit default in this research.

The study’s findings revealed that features used in Model 3 (Case 3) were the efficient and best features comparatively. Results also showcased that KNN exposed higher accuracy than LR, which proves the supremacy of KNN on LR.

Using only two classifiers limits this research for a comprehensive comparison of results; this research was based on only financial data, which exhibits a sizeable room for including non-financial parameters in default estimation. Both limitations may be a direction for future research in this domain.

This study introduces efficient features and tools for credit default prediction using financial data, demonstrating KNN’s superior accuracy over LR and suggesting future research directions.

This paper aims to emphasize integrating training for organizational sustainability with the United Nation’s (UN’s) Sustainable Development Goals (SDGs). It shows how SDGs can be included in the training, development programs and incentives to promote sustainable practices. It guides organizations to set long-term sustainability objectives to stay competitive and adapt to changing conditions.

The paper conducts a review of the literature on the topic of integrating training for organizational sustainability with the SDGs. The research includes investigating the 17 SDGs and their specific areas of improvement, the benefits and challenges of integrating training for organizational sustainability with the SDGs and the best practices of organizations that have successfully integrated training for organizational sustainability with the SDGs.

The findings of this study were obtained through a systematic review of literature on the topics of human resource development, corporate social responsibility, organizational sustainability and the integration of training to promote sustainable and ethical behavior. A total of 36 articles were selected from a pool of 120 articles identified through a comprehensive search of electronic databases such as Scopus, Web of Science and Google Scholar. The selected articles were analyzed in detail, and information from the UN was also incorporated into the analysis. The review focused on examining the impact of integrating sustainability training with the SDGs on organizational sustainability. The results of this analysis suggest that integrating sustainability training with SDGs has a positive impact on organizations. This impact includes promoting sustainable practices, improving employee satisfaction and productivity, reducing environmental impact and enhancing the organization’s reputation. The study found that regular progress reviews and long-term objectives are essential for organizations to remain competitive and adapt to changes.

This paper offers a comprehensive analysis of the 17 SDGs and how they can be integrated with training for organizational sustainability. It provides practical guidance for organizations on effectively incorporating the SDGs into their training and development programs, performance evaluations and incentives. The paper also includes case studies and best practices of organizations that have successfully integrated training for organizational sustainability with the SDGs, making it an original and valuable resource for organizations looking to promote sustainable practices within their operations.

This paper aims to identify the impacts of sociodemographic covariates on behavioural biases (BB) scores; the psychometric evidence of the BB measurement instruments; and the main BB that influences the decision-making of individual investors.

Papers were retrieved through search using keywords in ten databases. This systematic review is based on 69 peer-reviewed papers, most of which were published between 2017 and 2021. The relevance of the included papers was assessed through the analysis of statistical/psychometric methods used, and content analysis of the BB literature and its sociodemographic correlations.

Overconfidence is higher in men and not related to age. There was no consensus regarding the relationship between BB and other sociodemographic variables. Most measuring instruments are ad hoc, showing ≤ 4 types of psychometric evidence and assessing ≤ 9 BB. Therefore, the findings demonstrate that there is no gold standard instrument for measuring investors’ BB. Furthermore, 37 BB were cited as influencers of individual investors’ decision-making and overconfidence, herding, anchoring, representativeness and loss aversion were the most prevalent.

Considering that very few systematic reviews have been published in the behavioural finance area, this paper highlights the current state-of-the-art and identifies significant gaps in the literature that can be explored by further research.

To the best of the authors’ knowledge, this is the first systematic review that analyses the psychometric properties of instruments used for individual investors BB assessment.