Issues Of Transparency Research Articles

The Impact of Village Fund Allocation on the Economy of Lhokseumawe City

This study aims to investigate the impact of Village Fund allocation on the economy of Lhokseumawe City, Aceh Province, Indonesia. Using both quantitative and qualitative approaches, this research analyzes trends in Village Fund allocation over the past few years through secondary data, and conducts in-depth interviews with relevant stakeholders, such as local government officials, community leaders, and local entrepreneurs. The results of the study indicate that the Village Fund has made a significant contribution to local economic growth, including increasing people's purchasing power, creating new job opportunities, and stimulating investment in certain economic sectors. The Village Fund also promotes the development of basic infrastructure such as roads, irrigation systems, and healthcare facilities, which enhance accessibility and the quality of life for the community. However, this research also identifies challenges in the management and utilization of the Village Fund, such as issues of transparency, accountability, and the sustainability of fund usage. Policy recommendations are needed to improve the effectiveness of Village Fund allocation and ensure its benefits are equitably distributed among all residents of Lhokseumawe City.

AIOps and DevOps : Catalysts of Digital Transformation in the Age of Automated Operations

This article examines the pivotal roles of Artificial Intelligence for IT Operations (AIOps) and Development Operations (DevOps) as key drivers of digital transformation in contemporary organizations. As businesses increasingly rely on complex, distributed IT systems, the integration of AIOps and DevOps emerges as a critical strategy for maintaining operational efficiency, scalability, and innovation. Through a comprehensive analysis of current literature and industry case studies, we explore how these technologies are reshaping the landscape of IT operations, accelerating software delivery cycles, and enabling more resilient and adaptive infrastructures. The article delves into the evolving nature of release engineering, where automation and machine learning are becoming central to ensuring agile and robust IT systems. Furthermore, we critically assess the ethical implications of automated decision-making in operations, including issues of transparency, bias, and job displacement. Our findings suggest that while AIOps and DevOps offer significant benefits in terms of operational optimization and cost reduction, their successful implementation requires careful consideration of organizational culture, skill development, and ethical guidelines. This article contributes to the growing body of knowledge on digital transformation strategies and provides insights for practitioners navigating the complex intersection of artificial intelligence, automation, and IT operations.

Exploring Perspectives of Blockchain Technology and Traditional Centralized Technology in Organ Donation Management: A Comprehensive Review

Background/Objectives: The healthcare sector is rapidly growing, aiming to promote health, provide treatment, and enhance well-being. This paper focuses on the organ donation and transplantation system, a vital aspect of healthcare. It offers a comprehensive review of challenges in global organ donation and transplantation, highlighting issues of fairness and transparency, and compares centralized architecture-based models and blockchain-based decentralized models. Methods: This work reviews 370 publications from 2016 to 2023 on organ donation management systems. Out of these, 85 publications met the inclusion criteria, including 67 journal articles, 2 doctoral theses, and 16 conference papers. About 50.6% of these publications focus on global challenges in the system. Additionally, 12.9% of the publications examine centralized architecture-based models, and 36.5% of the publications explore blockchain-based decentralized models. Results: Concerns about organ trafficking, illicit trade, system distrust, and unethical allocation are highlighted, with a lack of transparency as the primary catalyst in organ donation and transplantation. It has been observed that centralized architecture-based models use technologies such as Python, Java, SQL, and Android Technology but face data storage issues. In contrast, blockchain-based decentralized models, mainly using Ethereum and a subset on Hyperledger Fabric, benefit from decentralized data storage, ensure transparency, and address these concerns efficiently. Conclusions: It has been observed that blockchain technology-based models are the better option for organ donation management systems. Further, suggestions for future directions for researchers in the field of organ donation management systems have been presented.

POLICY DEVELOPMENT THROUGH NORMATIVE LEGAL ACTS IN UZBEKISTAN: ACTORS, PROCEDURES, AND PRACTICE

This article examines the evolving lawmaking practices in Uzbekistan, focusing on actors, processes, and reforms that shape normative legal acts. Since 2016, reforms have significantly increased legislative output, but rapid lawmaking has brought challenges, including transparency issues and procedural inconsistencies. Analyzing data from the National Database of Legislation (LexUz) and assessing recent reforms, this study explores Uzbekistan’s legislative framework, institutional roles, and public participation mechanisms. Key findings highlight the need for stricter adherence to procedural standards, enhanced transparency, and broader public engagement to address regulatory challenges and strengthen governance. Recommendations are made for promoting evidence-based policymaking, improving interagency cooperation, and enhancing accountability measures. These improvements are crucial for achieving an effective, transparent, and accountable lawmaking process aligned with democratic principles.

SUSTAINABLE MATERIAL SOURCING IN THE FASHION SUPPLY CHAIN: CURRENT TRENDS AND FUTURE DIRECTIONS

This review article aims to find the increasing need to source materials that are sustainable to mitigate the effects on the environment, improve the social status, and adapt to the dynamic fashion consumer needs. Some of the main trends discussed in this work include the use of organic fibers, recycling fabrics and the introduction of new biodegradable textiles. The review article also further discusses the implication of certifications and standards in the issue of transparency and accountability. This paper analyses the broader environmental, social and economical root causes of sustainable sourcing which focus on the long term gains although possibly costly in the short run. Moreover, the article also points out the directions for future research comprising of technology advances in recycling, biofabrication techniques, status changes in frameworks and policies and trends in consumer behaviour that may potentially influence the sustainability of fashion.

Cross-Border Enforcement of Consumer Banking Law

This literature review examines the ongoing challenges and advancements in consumer protection within international finance and arbitration. It highlights regulatory failures, particularly in the context of high-profile financial scandals, underscoring the necessity for more robust financial regulations. The review discusses the issues of cross-jurisdictional consumer protection, focusing on the implications of regulatory arbitrage and its detrimental effects on consumer rights in global contexts. Additionally, it addresses the role of online dispute resolution as a means to reduce barriers to justice in cross-border financial transactions. The importance of fairness and efficiency in consumer arbitration processes is emphasized, particularly in relation to emerging digital finance models. The review also explores the critical issues of transparency and potential bias in international financial dispute resolution. Furthermore, it underscores the urgent need for reforms in international commercial law to effectively protect consumers amid the complexities of globalization and evolving financial landscapes. This compilation of insights presents a comprehensive understanding of consumer protection in cross-border financial environments, illustrating the necessity for improved regulatory frameworks and dispute resolution mechanisms to safeguard consumer rights effectively.

Оподаткування і фіскальна соціологія: фінансова думка Заходу та уроки для України

Introduction. In the process of fair interaction between authorities and taxpayers, a relationship of trust is created. This trust ensures support for government fiscal initiatives from the business sector. Conversely, if the relationship is not transparent and equitable, it can lead to a passive or even negative attitude towards taxes, thereby reducing the efficiency of the tax system. Problem Statement. There is a gap in Ukrainian fiscal theory, which is still underdeveloped in terms of fiscal sociology. Compared to Western countries, where fiscal sociology has already become an integral part of economic analysis, in Ukraine this issue has been studied only by a narrow circle of scholars. This limitation necessitates a deeper study and integration of sociological approaches into financial science, because without it, Ukrainian researchers and policy makers lose the opportunity to gain a more complete understanding of the interaction between economic and social processes. The purpose is to substantiate the directions of integration of fiscal sociology into Ukrainian financial theory and to develop recommendations for its inclusion into Ukrainian financial practice. Methods. The methods used are systematic, structural-functional, comparative analysis, analogy, grouping, description, comparison and generalization. Results. It is proved that by integrating fiscal sociology, Ukrainian fiscal theory can benefit from a more nuanced understanding of the socio-economic factors influencing fiscal policy. Such integration could lead to more effective policy making and a deeper understanding of the economic challenges facing Ukraine. Conclusions. Ukrainian academics and policymakers should prioritize the interdisciplinary study of fiscal policy, taking into consideration the rich tradition of fiscal sociology in the West. Joint efforts should be made to develop tax policies that strengthen state legitimacy by addressing issues of fairness, transparency, and trust. Strategies for managing public debt and improving tax morale should be a central element of fiscal policy to ensure that Ukraine's financial system can withstand socioeconomic pressures and contribute to long-term stability and development.

Using generative Artificial Intelligence tools in Public Relations: Ethical concerns and the impact on the profession in the Romanian context

The controversy surrounding ChatGPT has reopened the debate about the impact of new technologies in many fields of activities, including communication and PR. This study mapped Romanian PR practitioners’ use of generative AI and their perception of it, placing a special focus on the ethical concerns involved and the implications for the profession itself. We took a quantitative-qualitative approach by using both a survey and semi-structured interviews. Our goal was to determine the impact of generative artificial intelligence (AI) in the Romanian PR industry and to understand the reasons and challenges behind integrating generative AI in PR practice. The survey findings revealed a substantial adoption (73.5%) of AI within the Romanian PR community, with an overwhelming 91.6% of them using ChatGPT. The satisfaction level was remarkably high, with 92% expressing satisfaction with generative AI application efficacy. Benefits included timesaving, work simplification, and the reduction of repetitive tasks. Surprisingly, not only did 67.3% of respondents not perceive AI as an immediate threat to PR jobs, but 80.5% believed AI represents an opportunity for the industry. Indeed, almost all our interviewees admitted relief and satisfaction when using generative AI tools to complete their tasks. However, some concerns were expressed regarding the quality of the generative AI content and, in particular, the need to always check this kind of content by a human editor before using it. Moreover, PR professionals’ main ethical concerns are related to the issue of transparency towards their clients when using AI tools to produce different types of content.

Ethical Implications of AI in Financial Services: Bias, Transparency, and Accountability

This article examines the ethical implications of artificial intelligence (AI) in financial services, focusing on issues of bias, transparency, and accountability. As AI adoption in finance grows rapidly, with 85% of institutions now using AI, it brings both tremendous benefits and significant ethical challenges. The article explores how AI can perpetuate biases in lending and credit scoring, the "black box" problem of opaque AI decision-making, and the complexities of establishing accountability for autonomous AI systems. It analyzes strategies for mitigating these issues, including developing interpretable AI models, implementing robust governance structures, and creating industry-specific ethical guidelines. The discussion highlights the critical need for evolving regulatory frameworks and ethical standards to ensure responsible AI use while harnessing its potential to transform financial services.

Overcoming Barriers in Infrastructure Development Planning and Community Involvement

Abstract. The success of national development is often reflected in infrastructure improvements at the village level, particularly in promoting community welfare. In the specific context, Wunut Village in Porong District, Sidoarjo Regency, faces challenges in infrastructure planning, including transparency issues and limited community participation. The knowledge gap lies in the need for effective infrastructure planning to optimize the use of available resources and to identify obstacles in rural development. This study aims to analyze the village's development planning and identify barriers using a qualitative approach. Based on Syaodih's theory, focusing on achieving better goals, optimizing resources, addressing limitations, and ensuring efficiency, the results show a lack of transparency in the village work plan and passive community participation. This research's novelty highlights the critical role of transparency and engagement in successful infrastructure planning. The implications suggest enhancing community involvement and transparency for more effective rural development. Highlights: Transparency in village government work plans is essential for effective infrastructure development. Community involvement must be improved to enhance the planning and implementation process. Strategic planning is key to overcoming limitations in rural infrastructure projects. Keywords: Infrastructure, Development Planning, Rural Development, Community Participation, Transparency

Increasing the Manifestation of the Sustainable Development Principles in Logistics Organizations

The logistics sector is increasingly pressured to integrate sustainable development principles to align with their corporate goals. This paper reviews theoretical and practical frameworks of the logistics industry to examine how service providers in the sector can achieve a balanced economic, environmental, and social sustainability. Businesses are purposely created to maximize profits; however, increased awareness of corporate social responsibility and environmental sustainability has made them to look beyond that. Logistics service providers that adopt sustainable practices stand to benefit from long-term cost savings, improved brand reputation, and enhanced stakeholder relationships. Performed research leads us to point out that IoT, big data and blockchain are a some of the digital enablers that improve sustainability. Such advancements are necessary to minimize carbon emission, enhance the transparency of supply chain, and minimize negative effects on environment. At the same time, the literature analyzes emphasizes the fact that collaboration between various actors also contributes to the creation of incentives for achieving the goal of creating sustainable logistics systems. The literature points to stakeholder theory whose focus is on the issues of transparency, cooperation, and novelty in managing supply chains. The model gives a structure for achieving business objectives of generating returns without considering environmental and social factors. Obtained results also highlights those policies such as tax incentives given to companies that meet environmental standards weigh in greatly. Such measures have the potential to steer the logistics sector towards more sustainable operations with a corresponding competitiveness and economic growth. However, it is important to point out that more radical changes are required for reaching the desired state of sustainable development. Consequently, continuous investment in sustainable technologies, supportive government policies, and stakeholder collaboration are key to fostering a profitable logistics industry

Прозорість як засіб запобігання корупції в державному управлінні

The paper examines the issue of transparency as a tool for preventing corruption in public administration. The analysis is conducted by analysing the causes of the phenomenon and its main economic and social effects, in the decision-making processes of the public administration. Furthermore, the work focuses on the analysis of the main international legislative experiences and, in particular, the Italian one, which demonstrate the emergence of ‘transparency rights’ in order to curb administrative mismanagement behaviour (not only offences) and encourage virtuous behaviour.

THEORETICAL ASPECTS OF FORMATION FINANCIAL RESOURCES TO ENSURE SUSTAINABLE DEVELOPMENT

The article aims to study the mechanism of financing sustainable development to ensure a balanced approach to economic, social, and environmental development. The article examines the theoretical aspects of forming financial resources necessary for sustainable development. Sustainable development involves a balanced approach to economic growth, social well-being, and environmental protection, which requires adequate funding. The main conceptual approaches to defining sustainable development and financial resources are analyzed, focusing on their interrelationship. One of the key issues of the concept of sustainable development is the search for effective sources of financing for the implementation of sustainable development projects. The article considers the possibilities of attracting both public and private funds, including investments, grants, loans and other financial instruments. However, it also emphasizes the crucial role of international financial institutions and organizations in supporting national sustainable development strategies, highlighting the global nature of the issue and the need for international cooperation. The question of the distribution of financial resources between different economic sectors was studied to achieve the maximum effect from their use. Financial planning and management tools that can ensure optimal use of resources are considered separately. The positive dynamics of the growth of expenses for financing sustainable development in Ukraine are shown; however, a negative trend can be observed in terms of the direction of funds from 2022, namely, the volume of financing has decreased in all directions except for the allocation of funds for social protection and social security. The impact of financial resources on the implementation of sustainable development programs is analyzed, including issues of efficiency and transparency of their use. The importance of creating favorable conditions for attracting investments, developing partnerships between the public and private sectors, as well as the need to increase the financial literacy of the population was determined. This underscores the need for education and empowerment in financial matters, as it is a key factor in the successful implementation of sustainable development strategies. Based on the conducted research, it was concluded that the effective formation and management of financial resources is a key factor in the successful implementation of sustainable development strategies. It is recommended to develop a comprehensive system of monitoring and evaluating the effectiveness of the use of financial resources to ensure the achievement of sustainable development goals.

USING DIGITAL PLATFORMS FOR REPORTING IN THE IMPLEMENTATION AND EVALUATION OF ESG STRATEGIES

The article discusses modern approaches to using digital platforms for reporting and, implementing and evaluating ESG strategies. The role of environmental, social, and governance (ESG) factors in ensuring the sustainable development of enterprises and society is analyzed. The importance of implementing digital platforms for collecting, processing, and analyzing data, which allow for increased efficiency and transparency of reporting, has been proven. The main advantages and challenges facing enterprises using such platforms are characterized mainly by increasing the trust of investors and other interested parties. The use of digital platforms in reporting allows for the automation of data collection processes, integrating various sources of information into one system. This significantly reduces the risk of errors and increases the accuracy of data, which is crucial for making informed management decisions. The article also addresses the issues of transparency and credibility of reporting, which are ensured by process automation and the use of technologies such as blockchain. This helps to increase the trust of investors and other stakeholders, improve the company’s reputation, and attract additional investments. A significant advantage of digital platforms is their integration with existing management systems, which saves existing IT infrastructure investments and reduces the costs of introducing new technologies. However, implementing digital platforms is not without challenges. These include cybersecurity issues, the protection of confidential data, the high costs of implementing new technologies, and the need to adapt existing business processes to new conditions. The article presents the successful use of digital platforms for reporting in the agro-industrial sector, positively impacting management and decision-making processes. The study concluded the development prospects of digital technologies in ESG reporting and their importance for long-term economic growth and sustainable development. Integrating digital platforms into reporting processes contributes to increased efficiency, transparency, and data reliability, ensuring the sustainable development of business and society.

Road adhesion coefficient Estimation: Physics-informed deep learning method with vehicle dynamics model

Road adhesion coefficient (RAC) is not only a significant basis for trajectory planning and decision-making of autonomous vehicles but also a critical parameter to determine the control potential of autonomous vehicles under complex operating conditions. Accurate, timely, and reliable estimation of RAC facilitates many function units of autonomous vehicles and improves driving safety. To address the issues of low accuracy and transparency of RAC estimation method based on road surface image recognition, a vehicle dynamics model-informed deep learning (VDMIDL) method for RAC estimation is proposed in this work. The physics information related to vehicle dynamics is integrated into a CNN-based deep learning model via the fusion of vehicle physical features and high-dimensional road surface image features to realize accurate estimation of RAC. The results of the model training show that the proposed VDMIDL model for RAC estimation possesses higher prediction accuracy compared with the conventional deep learning (CDL) model. The vehicle test results indicate that the proposed VDMIDL model can provide more prospective and precise RAC for trajectory planning, decision-making, and control of the vehicle in response to sudden variations in road conditions. The VDMIDL model is applicable to a wide range of road conditions. RAC estimated by the VDMIDL model is accurate and stable under poor road condition in particular. The proposed fusion estimation model incorporates more physics information into deep learning model, endowing more interpretability and transparency to the black-box model.

Ethical AI in Information Technology: Navigating Bias, Privacy, Transparency, and Accountability

The rapid advancement of artificial intelligence (AI) technologies has fundamentally transformed the landscape of information technology (IT), offering unprecedented opportunities for innovation and efficiency. However, these advancements also bring significant ethical challenges, including issues of bias, privacy, transparency, and accountability. This paper explores these ethical challenges and proposes a comprehensive ethical framework for the responsible development and deployment of AI in IT. Through an examination of historical context, current trends, and detailed case studies, the framework aims to provide actionable guidelines to mitigate biases, protect privacy, enhance transparency, and ensure accountability in AI systems. By fostering ethical AI practices, this framework aspires to support the sustainable and equitable advancement of AI technologies, ultimately benefiting society as a whole

Enhancing Data Security and Traceability in Supply Chain Management using Blockchain Technology

This paper introduces a blockchain-powered tool to enhance supply chain management security and traceability. Supply chains are often plagued by fraud, counterfeiting, and a lack of transparency, particularly for end customers. Blockchain technology, known for its immutability and transparency, presents a promising solution to these challenges. In this study, we thoroughly discuss our implementation of blockchain technology within the context of the supply chain. The paper outlines the entire process, beginning with data collection and pre-processing and culminating in the secure posting of transactions via smart contracts. By leveraging Blockchain's decentralized nature, our system ensures that each transaction is securely recorded and immutable, significantly reducing the risk of data tampering or fraud. A synthetic dataset tailored for supply chain operations demonstrates the proposed system's feasibility and effectiveness. The results indicate substantial improvements in data integrity, traceability, and overall supply chain efficiency. This research highlights the potential of Blockchain to revolutionize supply chain management and provides a detailed framework for implementing such a system in real-world scenarios. The study's findings suggest that blockchain technology can be a critical tool in addressing the prevalent issues of trust and transparency in modern supply chains, offering a robust solution to enhance the reliability and efficiency of these complex networks.

Considering Responsibilities: The Indonesian Government at the Intersect of Environmental Damage and Sustainable Development Goals

The purpose of this study is to investigate a pressing policy concern for the Indonesian government: environmental degradation. The study will focus on the law and its more advanced principles within the context of contemporary legal theory. Research methodology is known as yuridis normatif, which entails a focused examination of relevant documents to determine the relevant principles, standards, and guidelines, as well as theoretical frameworks and administrative regulations. The findings of this study suggest that governments should integrate environmental principles into environmental programs to avert ecological crises, update development policies to place equal emphasis on economic, social, cultural, and environmental factors, and reconstruct environmental law as a solution to environmental problems. The hope is that the research will contribute to a more thorough understanding of environmental law in the context of contemporary jurisprudence and shed light on pressing issues of government transparency and accountability in Indonesia. It is hoped that this research will provide a solid foundation for improving Indonesia's legal framework and legal practice to be more comprehensive and environmentally conscious.

Enhancing Transparency in Healthcare Machine Learning Models Using Shap and Deeplift a Methodological Approach

This paper intends to provide a better understanding of how these models produce predictions, particularly in complex medical diagnoses, and at the same time bridging the gap between technical model outputs and clinical applications. This study addresses the critical problem of transparency of machine learning (ML) models in health care where interpretability is an essential aspect for ethical decision making and trust building.The goal of this paper is to present a clearer understanding of how these models generate predictions, especially in important fields like complex medical diagnoses, thereby bridging the gap between technical model outputs and clinical applications. The crucial issue of transparency in machine learning (ML) models within healthcare is addressed in this study where interpretability plays a vital role in ethical decision-making and fostering trust. The focus of the research is enhancing model transparency by using SHapley Additive exPlanations (SHAP) and Deep Learning Important FeaTures (DeepLIFT), two crucial methods that are designed to elucidate the decision-making processes of ML models.This mode of approach helps to have more distributed comprehension of the decision pathways by models thus aiding in knowing how each feature contributed to the last prediction. It is this method that has been employed to showcase the efficiency of predicting melanoma and also diabetic retinopathy which are two vital medical diagnostic areas. In healthcare, SHAP along with DeepLIFT has improved the models’ explainability and trustworthiness significantly and hence making them easy for those in the field. The advanced interpretability methods presented in this document enhances ML model transparency especially when dealing with health issues. As a result, interpretability becomes an even bigger issue and they are supposed to be able to use these tools for reliable and open decisions when it comes to medical specialists.

China's Foreign Investment Law and TRIMs Agreement: Conflicts, Amendments, and Applications

This article explores the developmental trajectory of China's Foreign Investment Law and its consistency issues with the WTO TRIMs Agreement. Covering four developmental stages from 1979 to 2020, it provides a detailed account of the evolution and amendments of China's legal framework on foreign investment. The article identifies inconsistencies in national treatment, elimination of quantitative restrictions, and transparency principles, analyzing adjustments and revisions made across these stages to align with international trade environments and WTO requirements. Despite significant progress, the article highlights areas for further improvement, such as the implementation of national treatment principles and resolution of transparency issues.