Asian Online Journal Publishing Group (AOJPG)
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The Impact of Corporate Governance on Sustainability Disclosure in Indonesian Listed Banks
Although sustainability reporting has gained attention in recent years, empirical evidence on the effectiveness of related regulations in Indonesia remains limited. Therefore, this study examines the influence of corporate governance on sustainability disclosure (SD) using panel data regression on 47 banks listed on the Indonesia Stock Exchange (IDX) from 2012 to 2022. The results indicate that the presence of a sustainability committee, audit committee, and CSR training has a significant impact on enhancing sustainability disclosure. In contrast, board age, board meetings, board independence, and the presence of women on the board showed no significant effect. These findings provide regulatory insights for developing sustainability frameworks and highlight the importance of internal structures in driving sustainability practices. The findings also align with international standards, such as the Global Reporting Initiative (GRI), the International Sustainability Standards Board (ISSB), and the EU’s Corporate Sustainability Reporting Directive (CSRD), which promote and, in some cases, require the integration of sustainability into corporate governance systems. This study challenges the applicability of traditional agency-based governance theories in emerging markets, where mechanisms like board independence have limited effectiveness. It also highlights the importance of adapting governance frameworks by incorporating stakeholder and legitimacy theories, providing fresh empirical evidence from emerging Asian economies. Moreover, the extended period and broad sample size contribute to the robustness of the findings, offering practical implications for policymakers and corporate leaders committed to advancing sustainability agendas
Enabling the Transition to a Circular Economy: A Literature Review on Stakeholder Collaboration
This study explores the interaction among stakeholder in promoting the transition of businesses from conventional models to circular economy practices. By conducting an extensive literature review of 122 articles from the Scopus database, this research utilizes bibliometric and content analysis to identify significant trends and themes. Over the years, research on the transition toward circular economy practices has increased significantly, growing from a single publication in 2016 to 42 in 2024. The United Kingdom, Germany, and China have emerged as leading contributors to this field, reflecting a global interest in sustainable business transformation. Bibliometric analysis identified four dominant cluster areas: 1) Collaboration and sustainability; 2) Innovation and business model development; 3) Resource management and recycling; 4) Product lifecycle and circular value chain. Findings suggest that a successful transition to a circular economy depends on close collaboration between governments, businesses, and consumers, with technology acting as a key enabler. Notably, consumer awareness and engagement play a critical role in encouraging businesses to embrace circular practices. Without strong partnership among businesses, policymakers, consumer, and other actors, achieving long-term success in circular economy practices would be challenging
Integrated Circular Farming and Supply Chain for Rural Economic Community Resilience
Establishing a sustainable economy to ensure food security in rural communities presents a significant challenge amid global economic instability and the threat of a food crisis. Integrated supply chains and circular economy models have emerged as strategies to enhance economic resilience. However, their application in rural agricultural communities is still limited. This study addresses this gap by developing an integrated supply chain and circular economy principles to strengthen the economic resilience of rural communities. Using a system thinking approach and Powersim software, the study simulates and quantifies the model’s impact. Simulation results show that 1 hectare can produce 45,300 kg of sorghum per harvest, or 122,310 kg/year. This output can produce 13,590 kg of sorghum grain, 110,079 kg of silage, 44,032 kg of manure, and 30,822 kg of organic fertilizer. The integrated system generates gross annual revenues of 26,243 in operating costs, resulting in a yearly net profit of 124 in the third year, a 10% internal rate of return (IRR), and a payback period (PBP) of 2.48 years. These findings highlight the potential of integrated agricultural systems in promoting rural economic resilience and sustainable farming practices
Prevalence of early postoperative complications and associated factors among children underwent adenotonsillectomy at Bugando Medical Centre Mwanza Tanzania
Tonsillar infections and sleep-disordered breathing (SDB) are the leading indications for performing adenotonsillectomy. Studies have shown that the majority of the complications happen during the first eight hours after the procedure. Despite this procedure being frequently performed, there are no studies reporting the prevalence of early postoperative complications and associated factors following adenotonsillectomy at Bugando Medical Centre. The study will enlighten about the complications, which in future protocols will be made to minimize the complications. It is a descriptive cross-sectional study conducted at Bugando Medical Centre from November 2023 to July 2024. The total number of study participants was 206. The majority were male (56.3%). The leading age group that was mostly affected was from 3 years to 8 years, accounting for 67.5%. The prevalence of early postoperative complications was 7.77%. Primary hemorrhage was the leading complication, followed by infection. There is significance in the pre-existing medical conditions and early postoperative complications, as shown in the study. Additionally, this study also showed that age and gender have no relationship in the development of early complications
Harnessing palm oil for climate change mitigation: pathways to net zero emissions
This study investigates the potential of the palm oil industry to contribute to climate change mitigation and achieve net-zero emissions by evaluating current technologies, policy frameworks, and sustainable practices.A qualitative literature review was conducted, synthesising findings from over 80 peer-reviewed articles and policy reports published in the last two decades. Data were systematically collected from databases such as Scopus, ScienceDirect, and Web of Science, and analysed using thematic content analysis to identify key themes in innovation, policy implementation, and environmental and social impacts. Technological interventions, including methane capture from palm oil mill effluent and precision agriculture, have reduced emissions by 30% to 90%. Policy frameworks like RSPO and ISPO show promise but require more inclusive enforcement and broader adoption. The sector’s mitigation potential is significant if supported by cohesive strategies. Palm oil plays a pivotal role in climate change mitigation when managed sustainably and supported by robust policies. While technological and policy advances have reduced emissions, challenges remain in scaling these solutions for smallholders. Stakeholders should focus on scaling sustainable technologies, enhancing smallholder inclusion, and strengthening enforcement of sustainability standards. Empowering smallholders is critical for aligning the sector with global net-zero ambitions
Solar photovoltaic power predictive optimization for maximum power point tracking system using AI
Solar tracking systems are commonly used in large-scale solar power installations, where maximizing energy production is crucial. By utilizing solar trackers, these systems can increase their energy output by up to 30% compared to fixed-tilt solar installations. These systems are more complex and expensive than fixed-tilt systems but can provide higher energy yields in locations with high solar insolation. The objective of solar power tracking systems is to maximize the capture of solar radiation by continuously adjusting the orientation and tilt of the solar panels. these systems can ensure that the solar panels receive the highest possible level of sunlight throughout the day. This optimized alignment allows for increased energy production and improved overall system performance. Two different ML approaches, such as support vector machine (SVM) and Gaussian process regression (GPR), were considered and compared. The basic input parameters, including solar PV panel temperature, ambient temperature, solar flux, time of day, and relative humidity. In this paper to showcase the effectiveness and accuracy of SVM and GPR models in forecasting solar PV power, the results of these models are compared using root mean squared error (RMSE) and mean absolute error (MAE) criteria
Debt and sustainable poverty reduction: A case study of Dao ethnic women in the northern midlands and mountains region of Vietnam
The purpose of this study is to explore the debt of Dao ethnic women in Vietnam and its impact on sustainable poverty reduction. A mixed-methods approach was employed, combining in-depth interviews with experts for scale development and quantitative data collection from 206 Dao women in the Northern Midlands and Mountains region of Vietnam. Parental and agricultural debt contribute to sustainable poverty reduction, while wedding debt has no significant impact as it is used for non-productive purposes. To effectively reduce poverty among ethnic women, especially in rural regions, the study concludes that priority should be given to promoting productive debt for income-generating activities and providing flexible loan terms. Wedding debt, which burdens families without creating economic benefits, should be discouraged. Improving financial literacy and fostering systemic changes to support marginalized communities are essential for sustainable poverty reduction. The study suggests that microfinance initiatives should prioritize productive loans for income-generating activities, support financial literacy programs tailored for ethnic women, and create policies that reduce the socio-cultural and economic barriers these women face. By focusing on flexible, productive debt and discouraging non-productive borrowing for ceremonies, poverty reduction efforts can be effective and sustainable in marginalized communities
The conundrum lensing theories, models and drivers in deciphering petty delinquencies
The professional training of foreign students is currently strongly influenced by the "mobility factor", which is why digital technologies are pivotal for shaping a future specialist. The methodological possibilities of the digital environment allow not only to provide foreign students with the necessary knowledge and skills for interaction in a multicultural space, but also systematically build various aspects of professional competence, bringing it to the level of prolonged self-development. In this study, we analyzed the current concepts of digitalization of professional training of students to select practices that are suitable for integration into the Russian higher education system. The aim of this work is to challenge the negative view of digitalization of higher professional education and define conditions for the reform of the content of the professional training of foreign students. The following research methods were used: 1) review of the relevant literature; 2) analysis of modern pedagogical practices of teaching foreign students in remote conditions; 3) analysis of statistical data evaluating the state of digitalization of professional training in a university. As a result, we identified three groups of concepts for the digitalization of professional training: 1) self-regulated learning; 2) supportive learning; 3) generating learning. Despite the existing practical and methodological limitations, the latter appears to be the most promising
Higher education at the crossroads: What it takes to lead in an era of disruption
This is the era of the industrial revolution; an era where disruptive technologies reign. Challenges within higher education have come to a crossroads due to disruptive technologies, 21st-century skills, globalization, and global competition. Thus, higher education needs to be redeveloped to improve the educational system in the era of disruption. The method used in this research is a qualitative method that consists of the study of literature in the field. The purpose of this research is to identify and analyze the disruptive technologies, such as artificial intelligence and virtual reality, that are challenging education and to rethink the way to design educational products, satisfy customers, and generate revenue for higher education to reap bottom-line benefits. To reinvent higher education, this research suggests that the management and the educators at higher education embrace a culture that promotes constant transformation, invest in manpower that will play a strategic role in managing disruption, and design workspaces that inspire creativity for the educators and the students as well as lead their innovation. This research incorporates the triple bottom line theory, introduced to measure performance. The theory's idea is to promote sustainability as well as gain profits from business ventures. Thus, higher education is to be viewed as a business venture, and its human capital (manpower and students) needs to be sustained in a sustainable environment. This research outlines how we should manage and utilize disruptive technologies against human capital to reap benefits in higher education and achieve bottom-line benefits
The Role of Investment Opportunity Set in Earnings Growth
This study aims to determine the effect of capital structure on earnings growth with Investment Opportunity Set as a moderating variable. The population of this study consists of Consumer Cyclicals and Non-Cyclicals companies listed on the Indonesia Stock Exchange from 2020 to 2022, totaling 255 companies. The sample of this study used 131 Consumer Cyclicals and Non-Cyclicals companies with the data collection method using purposive sampling. Financial data processed as many as 393 of the 131 companies. This study conducted outlier data because it was not normal, the remaining data to be processed was 271 financial data. This research analysis technique uses linear regression with SPSS 24. The results of this study indicate that the capital structure variable has no effect on earnings growth. Investment Opportunity set variable has no effect on earnings growth. Then the Investment Opportunity Set variable as a moderating variable is not able to moderate the effect of capital structure on earnings growth. The capital structure is financial in nature, while profit growth comes from operational and strategic activities. Even if a company has high leverage, if its operations are poor, profits will not grow. This is what makes the capital structure irrelevant. To increase profit growth, companies need an Investment Opportunity Set to support smooth operations and strategies. However, the Investment Opportunity Set cannot moderate this because this variable has too strong a direct effect on profit growth