This study analysed the behaviour of both economic and financial profitability of credit unions belonging to segment 1 in Ecuador, as well as its determinants. For this purpose, data from the financial statements of a sample of 30 credit unions between 2016 and 2022 were used by means of a multiple linear regression methodology using panel data with fixed effects after applying the Hausman test. The findings of this research showed that current liquidity and non-performing loans have a negative and significant effect on both economic and financial profitability while the past due portfolio has a positive and significant impact on the generation of profitability of the financial institutions under study. In addition, it was revealed that the rate of outflow absorption has a negative relationship with economic profitability but a positive relationship with financial profitability. Unlike previous research in the Ecuadorian context, this research is pioneering in presenting results that indicate that the determinants traditionally considered for nonfinancial institutions and banks are also valid for credit unions, even though they are organisations with different characteristics from the rest.

This study investigates the critical skills required for new entrants to succeed in today’s workforce, focusing on both soft and hard skills. Through a comprehensive systematic review of existing literature using the PRISMA method, we analyzed 12 selected journals from an initial pool of 870, sourced from major databases such as Scopus, Science Direct, and Emerald Insight. Our research uncovers four key insights. First, we provide a clear and precise definition of employability skills, establishing the foundation for what competencies are essential for workforce readiness. Second, our analysis identifies a distinct separation between soft and hard skills, with soft skills such as communication, problem-solving, teamwork, ethics, and leadership being universally critical across all industries. Third, while soft skills have broad applicability, hard skills are highly specialized, varying significantly depending on industry and job role. To simplify their understanding and application, we categorized these hard skills into specific groups. Finally, the study highlights the urgent need for further empirical research to validate these findings in real-world settings, as the current conclusions are drawn solely from literature. This potential gap between academic preparation and industry expectations underscores the necessity for ongoing collaboration between educational institutions and employers, which will be a primary focus of our future research.

This study evaluated the performance of several machine learning classifiers—Decision Tree, Random Forest, Logistic Regression, Gradient Boosting, SVM, KNN, and Naive Bayes—for adaptability classification in online and onsite learning environments. Decision Tree and Random Forest models achieved the highest accuracy of 0.833, with balanced precision, recall, and F1-scores, indicating strong, overall performance. In contrast, Naive Bayes, while having the lowest accuracy (0.625), exhibited high recall, making it potentially useful for identifying adaptable students despite lower precision. SHAP (SHapley Additive exPlanations) analysis further identified the most influential features on adaptability classification. IT Resources at the University emerged as the primary factor affecting adaptability, followed by Digital Tools Exposure and Class Scheduling Flexibility. Additionally, Psychological Readiness for Change and Technical Support Availability were impactful, underscoring their importance in engaging students in online learning. These findings illustrate the significance of IT infrastructure and flexible scheduling in fostering adaptability, with implications for enhancing online learning experiences.

Despite the apparent agreement today on the concept of sustainability, the means to achieve it holistically are still controversial. “Just sustainability” concept has recently gained traction, casting doubt on whether sustainability can be attained under capitalism. On the social level, many recent urban studies have been concerned with the concept of social justice and the distribution of resources and wealth as a means to achieving socially equitable sustainability. In this regard, a few questions are brought up: can social sustainability be achieved under capitalism? Are Islamic built environments a viable alternative? Many contemporary studies have described Islamic built environments as sustainable and strived for defining their sustainability criteria. However, they mostly focused on the built environment’s physical environmental aspects without relating them to the socio-economic spheres. Using the concepts of power and rights as key analytical tools, the paper examines a few capitalist utopian reform approaches and compares them in terms of their ability to achieve just sustainability with Islamic built environments. Several examples from primary Islamic history books will be used to examine Islamic built environments. It is concluded that Islamic built environments have attained the just sustainability that contemporary reform approaches sought to accomplish.

This study investigates the escalating complexity and unpredictability of global supply chains, with a particular emphasis on resilience in the agricultural sector of Antioquia, Colombia. The aim of the study is to identify and analyze the dynamic capabilities, specifically flexibility and adaptability that significantly enhance resilience within agri-food supply chains. Given the sector’s vulnerability to external disruptions, such as climate change and economic volatility, a thorough understanding of these capabilities is imperative for the formulation of effective risk management strategies. This research is essential to provide empirical insights that can inform stakeholders on fortifying their supply chains, thereby contributing to enhanced competitiveness and sustainability. By presenting a comprehensive framework for evaluating dynamic capabilities, this study not only addresses existing gaps in the literature but also offers practical recommendations aimed at bolstering resilience in the agricultural sector.