In the agricultural sector of Huila, particularly among SMEs in coffee, cocoa, fish, and rice subsectors, the transition to the International Financial Reporting Standards (IFRS) is paramount yet challenging. This research aims to offer management guidelines to support Huila’s agricultural SMEs in their IFRS transition, underpinning the region’s aspirations for financial standardization and economic advancement. Utilizing a mixed-methods managerial approach, data was gathered from 13 representative companies using validated questionnaires, interviews, and analyzed with SPSS and ATLAS.ti. Results indicate that while there is evident progress in IFRS adoption, 12 out of 13 firms adopted IFRS, with rice leading in terms of adoption duration. While 77% found IFRS useful for financial statements, half reported insufficient staff training. The transition highlighted challenges, including asset recognition and valuation, and emphasized enhancing institutional support and IFRS training. Interviews revealed managerial commitment and expertise as significant factors. Recommendations for successful implementation include leadership involvement, continuous professional development, anticipating costs, clear accounting policies, and meticulous record-keeping. The study concludes that adopting IFRS enhances financial reporting quality, urging entities to converge their reporting practices without hesitation for improved comparability, relevance, and reliability in their financial disclosures.
The aim of this study is to determine how bank diversification affects bank stability. To this end, it examines data of 136 commercial banks operating in 14 MENA (Middle East and North Africa) countries observed from 2005 to 2021, using the System Generalized Method of Moments (GMM) panel data regression analysis. The selected countries are Bahrain, Egypt, Jordan, Kuwait, Oman, Qatar, Saudi Arabia, Morocco, Lebanon, Algeria, Tunisia, Iran, Iraq, and the United Arab Emirates. The main results point to the enhancing effect of income diversification on bank stability. Our results underline the “Bright Side” of banking income diversification in the MENA region. However, this stabilizing income diversification effect is not always maintainable. The results also point to a non-linear relationship between interest/non-interest income and financial stability, suggesting that higher diversification reduces risk. We use a dynamic panel threshold model to determine income diversification thresholds that stabilize banks in the MENA region.
The increasing demand for electricity and the need to reduce carbon emissions have made optimizing energy usage and promoting sustainability critical in the modern economy. This research paper explores the design and implementation of an Intelligent-Electricity Consumption and Billing Information System (IEBCIS), focusing on its role in addressing electricity sustainability challenges. Using the Design Science Research (DSR) methodology, the system's architecture collects, analyses, and visualizes electricity usage data, providing users with valuable insights into their consumption patterns. The research involved developing and validating the IEBCIS prototype, with results demonstrating enhanced real-time monitoring, load shedding schedules, and billing information. These results were validated through user testing and feedback, contributing to the scientific knowledge of intelligent energy management systems. The contributions of this research include the development of a framework for intelligent energy management and the integration of data-driven insights to optimize electricity consumption, reduce costs, and promote sustainable energy use. This research was conducted over a time scope of two years (24 months) and entails design, development, pilot test implementation and validation phases.
The objective of this work was to analyze the effect of the use of ChatGPT in the teaching-learning process of scientific research in engineering. Artificial intelligence (AI) is a topic of great interest in higher education, as it combines hardware, software and programming languages to implement deep learning procedures. We focused on a specific course on scientific research in engineering, in which we measured the competencies, expressed in terms of the indicators, mastery, comprehension and synthesis capacity, in students who decided to use or not ChatGPT for the development and fulfillment of their activities. The data were processed through the statistical T-Student test and box-and-whisker plots were constructed. The results show that students’ reliance on ChatGPT limits their engagement in acquiring knowledge related to scientific research. This research presents evidence indicating that engineering science research students rely on ChatGPT to replace their academic work and consequently, they do not act dynamically in the teaching-learning process, assuming a static role.
Manyanda tradition, a tradition of taking over social roles after death, in addition to successfully maintaining social continuity in the family structure, is also a potential capital in strengthening social cohesion. However, this context has not been discussed comprehensively in previous studies so it is very important to explain. In addition to responding to the shortcomings of previous studies, this study also aims to explain the mechanisms, factors and implications of the practice of this tradition as a reflection of social cohesion based on customary and religious values. By using a qualitative descriptive case study approach, this study shows three important findings. First, the spontaneity of the community and traditional leaders when hearing the news of death and social activities forty days afterwards. Second, the dominance of spiritual and cultural factors in addition to social and structural factors that encourage the community to preserve this tradition. Third, the Manyanda tradition has implications for strengthening the community’s commitment and belief in the meaning of death, the importance of a replacement figure who takes over social roles and strengthens the tribal identity of the Nagari (local village) community. This study recommends the importance of this tradition to be preserved as the root of social cohesion.
Based on the resource-based view and institutional theory, this study investigates the impact of their environmental management capabilities and environmental, social, and governance (ESG) pressure on the non-financial performance of small and medium-sized enterprises (SMEs). In particular, it examines the interaction effect of ESG pressures on the relationship between SMEs’ environmental management capabilities and non-financial performance. For this study, a total of 1865 SME lists were obtained through Jeonnam Techno Park and Jeonnam Small Business Job and Economy Promotion Agency. Based on this, a total of 127 questionnaires were returned as a result of a telephone, e-mail, and online survey, and finally, an empirical analysis was conducted based on 120 questionnaires. We conducted an empirical analysis of Korean SMEs and obtained the following results: First, environmental management capabilities have a significant, positive effect on SMEs’ non-financial performance. Second, ESG pressure has a significant, negative effect on the non-financial performance of SMEs. Next, we analyzed the moderating effect of ESG pressures and observed that ESG pressures strengthen the positive effect of environmental management capabilities on non-financial performance. Based on the resource-based perspective and institutional theory, this study provides meaningful academic implications by examining environmental management capabilities and ESG pressures, which have not been identified in previous studies, as factors of non-financial performance that are becoming important under the new management paradigm, such as climate change and ESG. Furthermore, while ESG pressure has a significant negative effect on non-financial performance, we find that it is a moderating variable that strengthens the relationship between SMEs’ environmental management capabilities and non-financial performance, which has useful academic and practical implications for ESG and strategic management.
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