All Academic Research: OJS
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PATIENT CARE AND FINANCIAL INTEGRITY IN HEALTHCARE BILLING THROUGH ADVANCED FRAUD DETECTION SYSTEMS
Get PDFHealthcare fraud poses a significant challenge, leading to substantial financial losses and compromising the quality of patient care. This study assesses the efficacy of advanced fraud detection systems, including data analytics, machine learning, predictive modeling, and natural language processing (NLP), in enhancing the detection and prevention of fraudulent activities in healthcare. By leveraging these technologies, healthcare organizations can process large volumes of complex data, adapt to evolving fraud patterns, and provide real-time monitoring. The findings indicate that data analytics effectively uncovers hidden patterns and anomalies, while machine learning and AI improve predictive accuracy by continuously learning from historical data. Predictive modeling enables proactive fraud prevention by forecasting potential fraud scenarios, and NLP extends detection capabilities to unstructured data such as clinical notes. The integration of these advanced technologies has resulted in significant financial savings and improved patient care, as demonstrated by case studies highlighting substantial reductions in fraudulent claims. The study concludes that adopting advanced fraud detection systems is essential for maintaining financial integrity and ensuring high-quality patient care in the evolving healthcare landscape.
 
A SYSTEMATIC REVIEW OF BIG DATA INTEGRATION CHALLENGES AND SOLUTIONS FOR HETEROGENEOUS DATA SOURCES
Get PDFThis systematic review explores the current challenges and emerging solutions in big data integration, focusing on key issues such as semantic heterogeneity, data quality, scalability, and security. Using the PRISMA guidelines, 150 peer-reviewed articles were analyzed to identify both established and innovative approaches to integrating data from heterogeneous sources. The findings reveal that ontology-based frameworks are widely used to address semantic inconsistencies but face limitations in scalability when handling large, dynamic datasets. Machine learning has emerged as a powerful tool for automating data quality and schema matching processes, although its effectiveness is highly dependent on the availability of high-quality training data. Distributed computing frameworks like Hadoop and Spark have become the industry standard for scalable data integration, yet their implementation requires significant infrastructure and technical expertise. Cloud-based platforms offer flexible, scalable solutions, but concerns about data privacy and security persist. Blockchain technology, while promising for secure and decentralized data integration, is still in its infancy and struggles with scalability. The review highlights significant progress in the field but underscores the need for further research to address unresolved challenges in real-time integration, cross-domain data harmonization, and the management of unstructured data
LEVERAGING MANAGEMENT INFORMATION SYSTEMS FOR ENHANCING CREDIT RISK ASSESSMENT IN COMMERCIAL BANKS
Get PDFThis study explores the significant impact of Management Information Systems (MIS) on credit risk assessment in commercial banks, examining how these systems enhance decision-making accuracy, operational efficiency, and proactive risk management. By synthesizing findings from 50 peer-reviewed studies, the research reveals that banks using MIS experience a 20-30% reduction in non-performing loans and a 40-50% increase in loan processing speed due to automation and real-time data analysis. The integration of advanced technologies such as artificial intelligence (AI) and predictive analytics further improves credit risk forecasting accuracy by 15-20%, enabling banks to implement proactive risk mitigation strategies that reduce borrower defaults by up to 25%. However, the study also highlights significant challenges, particularly for smaller banks, which face high implementation costs and difficulties integrating MIS with legacy systems. Despite these challenges, the role of MIS in ensuring regulatory compliance, particularly under Basel III, and reducing overall credit exposure by 15-20% underscores its critical importance in modern credit risk management. The findings suggest that while MIS is essential for maintaining financial stability and competitiveness, scalable and cost-effective solutions are necessary for broader adoption across the banking industry
CURRENT TRENDS IN PHOTOVOLTAIC THERMAL (PVT) SYSTEMS: A REVIEW OF TECHNOLOGIES AND SUSTAINABLE ENERGY SOLUTIONS
Get PDFThis systematic review explores advancements and challenges in photovoltaic thermal (PVT) systems, focusing on efficiency improvements, cooling mechanisms, material innovations, Internet of Things (IoT) integration, and cost and environmental considerations. Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, 45 articles were analyzed to provide a comprehensive understanding of current trends and future directions in PVT technology. Findings reveal that cooling mechanisms, particularly liquid-based and nanofluid-based systems, are essential for maintaining high PVT efficiency under diverse environmental conditions. Material advancements, including phase change materials (PCMs) and nanotechnology, have enhanced thermal management and energy storage capabilities, yet their high costs and environmental impacts remain significant barriers to broader adoption. IoT and smart grid integration have transformed PVT system functionality by enabling real-time monitoring, predictive maintenance, and energy flow adjustments within connected energy networks. However, persistent challenges—including high initial investment costs, environmental concerns related to materials, and the need for adaptable designs—highlight areas for future research. Advancements in adaptive materials, sustainable cooling solutions, and digital automation are essential for developing cost-effective, resilient PVT systems that contribute to global renewable energy goals. This review provides a foundation for future research to address the identified challenges and maximize the potential of PVT systems in sustainable energy production
Digital Transformation In The LPG Industry: Leveraging IoT And Data Analytics For Operational Efficiency
Get PDFThis study presents a comprehensive systematic review exploring the transformative impact of Internet of Things (IoT), Supervisory Control and Data Acquisition (SCADA) systems, and automation technologies on the operational efficiency of the Liquefied Petroleum Gas (LPG) industry. Leveraging the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, a rigorous review process was conducted to identify, screen, and synthesize existing research. A total of 90 high-quality articles were systematically reviewed to assess how digital technologies are revolutionizing key aspects of LPG operations, including inventory management, predictive maintenance, and fleet optimization. The findings reveal that integrating IoT and SCADA systems enhances real-time monitoring, significantly reduces manual errors, and improves accuracy in inventory tracking, leading to cost reductions of up to 30%. Moreover, predictive maintenance enabled by IoT data analytics was shown to decrease unplanned downtime by 40% and maintenance costs by 25%, further ensuring the reliability of equipment in this high-stakes industry. The review also highlights how automation and digitalization streamline logistics, optimize fuel usage, and improve customer satisfaction by reducing delivery lead times by 20%. Additionally, these technologies support sustainability goals by minimizing carbon emissions through optimized fleet management. By providing a detailed synthesis of current research, this review not only underscores the benefits of digital transformation in the LPG industry but also identifies gaps in the literature, suggesting avenues for future studies to enhance operational excellence, safety, and sustainability in this critical sector
ENGINEERING CHALLENGES AND SOLUTIONS IN SMART GRID INTEGRATION WITH ELECTRIC VEHICLES
Get PDFThis paper explores the critical engineering challenges and innovative solutions for successfully integrating intelligent grids and electric vehicles (EVs), emphasizing the increasing need for a resilient and adaptive electrical grid as global EV adoption accelerates. It comprehensively examines the technological, infrastructural, and regulatory obstacles that must be addressed to ensure seamless integration, focusing on advanced energy management systems, grid stability amidst fluctuating demand, and incorporating renewable energy sources. The study delves into the infrastructural requirements, including the expansion of charging networks, upgrades to transmission and distribution systems, and the implementation of vehicle-to-grid (V2G) technologies, while also analyzing the necessary regulatory and policy frameworks, stressing the importance of clear standards, incentives, and public-private collaboration. The paper offers a forward-looking perspective on overcoming current challenges by reviewing recent advancements in innovative grid technology—such as high-capacity energy storage and artificial intelligence (AI) use for predictive maintenance and load balancing. It highlights the need for interdisciplinary collaboration among engineers, policymakers, and industry leaders to develop a cohesive strategy for future energy distribution while underscoring the role of AI in optimizing grid performance, predicting energy consumption patterns, and enhancing overall efficiency. Ultimately, the paper provides a comprehensive analysis of the current state of smart grid and EV integration, offering actionable insights for stakeholders and concluding with recommendations for future research and development priorities, with a strong emphasis on continued innovation and cooperation to achieve a sustainable and resilient energy future.
 
Advancing Sustainable Finance in the United States: Development, Impact and Recommendations
Get PDFIn the United States, there has been a noticeable shift toward sustainable finance practices in the integration of environmental, social, and governance (ESG) aspects into financial institutions. This change is in line with general world patterns. Green bonds, impact investing, ESG investing, and funding for renewable energy are among the increasingly well-liked sustainable finance strategies. Recent literature reviews demonstrate the complexity and breadth of sustainable finance practices, as well as the advancements in technology and law that have propelled this growth. This study aims to investigate the development, implementation, and outcomes of sustainable financial practices in the United States. It focuses on understanding how these activities contribute to financial stability, environmental sustainability, and social fairness. The study aims to identify the primary drivers behind the adoption of sustainable financing, in addition to providing helpful guidance on how governments, investors, and financial institutions may incorporate environmental, social, and governance (ESG) considerations into their financial decision-making processes. Secondary data sources, such as academic publications, reports from governmental and non-governmental organizations, trade journals, and media outlets are investigated using a qualitative technique. Using thematic analysis and cross-case synthesis, important issues, success factors, and barriers to the adoption of sustainable financing are identified. Ethical concerns have been taken into consideration during the study method. The analysis leads to the conclusion that sustainable finance practices reduce the risks associated with social unrest and environmental degradation, thereby improving financial stability. By investing in clean technology and renewable energy, they promote environmental sustainability and social justice through inclusive financial systems. However, problems like data scarcity and greenwashing persist, and need for both legislative and technological responses. Among the suggestions include strengthening regulatory frameworks, promoting inclusive financing, fostering stakeholder collaboration, and leveraging technology for ESG data analytics. A long-term perspective and robust monitoring and assessment processes are necessary to fully realize the potential of sustainable finance in building a resilient, inclusive, and sustainable financial system. The conclusion of the study emphasizes how sustainable finance has the power to drastically alter the trajectory of financial systems in the US and other nations while also addressing global sustainability challenges.
 
Exploring the Landscape: The Societal Impact of Social Media Marketing
Get PDFIn the digital age, social media marketing has drastically altered social connections and customer behavior. With an emphasis on how social media marketing influences consumer attitudes, cultural norms, and mental health, this study explores the numerous ways that social media marketing impacts society. As businesses utilize Facebook, Instagram, and Twitter more and more to communicate with big audiences, understanding these consequences is critical. The study aims to determine how social media marketing affects, among other aspects of society, social interactions, cultural perspectives, consumer behavior, and mental health. The study makes use of secondary data collection methods, including a comprehensive survey of the literature. Thematic analysis is used to find patterns and gather data. Significant research demonstrates that social media marketing significantly increases consumer involvement through customized campaigns and user-generated content, which fortifies brand loyalty and influences consumer behavior. It does, however, also reinforce cultural norms and prejudices while offering the possibility of societal transformation. Virtual communities are known to be altering social interactions, but using them excessively might lead to social isolation. Negative pressure to maintain idealized online personas and constructive criticism are both hazardous to mental health. The growing importance of influencer marketing is emphasized, but so are privacy and ethical issues around data collection and targeted advertising. With cutting-edge technologies like augmented reality, virtual reality, and artificial intelligence, social media marketing is set to undergo yet another revolution. The study offers several recommendations, such as enhancing the personalization of marketing campaigns, utilizing user-generated content, balancing cultural representation, lessening the detrimental effects of social interactions, prioritizing mental health, addressing ethical and privacy issues, ensuring that influencer marketing is genuine, and embracing emerging technologies. Future research on these processes is warranted, focusing on the moral implications and challenges of developing technologies. This in-depth investigation highlights how important it is to act ethically and continuously adapt to the ever-changing world of social media marketing.
 
Ethical Differentiation of Intermediaries in Business
Get PDFThe author explored the difference of ethical issues in different forms of business. The persons in different forms of business are industrialist, contractor, retailer, dispensary owner and farmer. From each category, 15 persons were taken from Dhaka and Laxmipur district and thus a total of 75 persons formed the sample. The scale used was ‘Business Ethics Inventory’. It was developed by Venkatapathy. In this scale there were 26 factors. Among them, 17 were positive and rests were negative. There was insignificant difference among the average ethical values of different forms of business. Some recommendations were made and some of them are proper scale should be introduced, government should be firm in terms of rules and their implications, proper facilities should be provided to upgrade the ethical issues in business, monetary cells need to be developed for constant vigilance, the philosophies of WTO should be changed specially for the LDCs, proper education should be provided for people of all ages and so forth. It is expected by all to be in better position in the society. This cannot be achieved by individual efforts rather group efforts are needed. When people will be adequately educated then automatically they implement their consensus.
 
THE ROLE OF PERCEIVED ATTRACTIVENESS IN SHAPING CONSUMER PREFERENCES: A STUDY OF SPORTS BRAND T-SHIRT PURCHASING BEHAVIOR AMONG COLLEGE STUDENTS IN ZHENGZHOU, CHINA
Get PDFThe preference of customers is very impactful for the sports brand T-shirt making companies. The growth in the sportswear industry of China and preference of college students towards it, is significant, however, changes like change in trend and personality riots of consumers is considered significant. In this literature review chapter, previous research findings are presented about perceived attractiveness and its influence on purchasing behaviour of T-shirts with sports brands among college students in Zhengzhou, China. The review also investigates general theories like social identity theory as well as consumer buying behaviour theories where determinants like customer’s attitude, brand image and advertisement have been identified as determinants in the buying process. Brand reputation is identified in the literature to play a huge role in increasing perceived product attractiveness as well as how customer attitudes act as the mediating factor between perceived brand image and actual purchase behaviour. The quantitative method has been used by selecting 410 students to conduct surveys for using their purchasing behaviour and preferences. Along with this, SPSS and SmartPLS have also been used here. Some recommendation has been provided and some limitations have also been identified while conducting the study