All Academic Research: OJS
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Analyzing the Structure and Efficiency of Upazila Parishad in Service Delivery
Get PDFThis study evaluates the structure and efficiency of the Upazila Parishad (UZP) in Bangladesh, focusing on its role in service delivery. The Upazila Parishad, as a local government institution, is tasked with providing essential public services at the grassroots level. Despite its pivotal role in rural administration, the UZP faces significant challenges in fulfilling its service delivery responsibilities. The research analyzes three main factors: the structural framework, operational efficiency, and financial capacity of the UZP. Key findings indicate that the lack of coordination between elected representatives and bureaucrats, limited autonomy due to the national government’s influence, and insufficient financial resources hinder the UZP's performance. Furthermore, the study highlights the inefficiency in manpower allocation and the adverse effects of bureaucratic inefficiencies on service quality. The results show that while the Upazila Parishad plays a crucial role in basic services like road maintenance, sanitation, and primary education, its inability to manage more complex tasks is evident. Additionally, public dissatisfaction with the quality of services provided by the UZP was widespread, with respondents noting poor sanitation and inadequate nutrition services. The study emphasizes the need for structural reforms, enhanced funding, and clearer roles for local officials to improve the effectiveness of the UZP in serving rural communities. The paper suggests that decentralizing administrative control and addressing institutional inefficiencies could significantly enhance local governance and service delivery in rural Bangladesh
ASSESSING THE IMPACT OF COVID-19 ON GLOBAL SUPPLY CHAIN MANAGEMENT IN SMALL AND MEDIUM-SIZED ENTERPRISES (SMES)
Get PDFThe COVID-19 pandemic has drastically disrupted global supply chain management, significantly affecting Small and Medium-Sized Enterprises (SMEs). This study investigates the profound impacts of the pandemic on SMEs’ supply chain operations, highlighting key challenges such as inventory shortages, logistical bottlenecks, and increased costs. The research draws on a combination of qualitative and quantitative methods to provide a comprehensive analysis of how SMEs have adapted their supply chain strategies in response to the pandemic. Findings suggest that while SMEs were disproportionately affected by supply chain disruptions, those that swiftly adopted digital tools and diversified their supply chains were better positioned to mitigate risks. The study contributes to the growing body of literature on supply chain resilience, offering practical recommendations for SMEs to enhance their supply chain management in the face of future global disruptions
A REVIEW OF MACHINE LEARNING AND FEATURE SELECTION TECHNIQUES FOR CYBERSECURITY ATTACK DETECTION WITH A FOCUS ON DDOS ATTACKS
Get PDFThis study provides a systematic review of machine learning (ML) techniques applied in intrusion detection systems (IDS), with a particular focus on Random Forest (RF), Support Vector Machine (SVM), and Decision Tree (DT). Following the PRISMA guidelines, a comprehensive search of relevant databases identified 205 articles, from which 68 were selected for detailed analysis. The findings highlight that RF consistently outperforms other models, achieving accuracy rates as high as 99.72% in detecting Distributed Denial of Service (DDoS) attacks due to its ensemble learning approach. SVM, while effective in specific scenarios with binary classification tasks, struggles with scalability and high-dimensional datasets, though feature selection significantly improves its performance. DT models, known for their simplicity and interpretability, are prone to overfitting, but this issue is mitigated when combined with feature selection techniques. The study further emphasizes the importance of feature selection in enhancing IDS accuracy and efficiency across various models. Additionally, ensemble and hybrid methods, which combine multiple ML techniques, offer promising improvements in detection accuracy and real-time performance. These findings underscore the potential of machine learning, particularly through the use of ensemble and hybrid approaches, to significantly improve cybersecurity measures in modern networks.
 
EXAMINING THE INTEGRATION OF INDUSTRY 4.0 TECHNOLOGIES IN MANUFACTURING
Get PDFThe integration of Industry 4.0 technologies is transforming manufacturing, enhancing efficiency, flexibility, and sustainability. This research paper explores the application of key technologies such as artificial intelligence (AI), the Internet of Things (IoT), and big data analytics in the sector. By analyzing a comprehensive dataset that includes supply chain metrics from major corporations like Apple, Amazon, and Google, the study examines the impact of Industry 4.0 practices on critical supply chain performance indicators, including inventory turnover ratio, lead time, and customer satisfaction. Industry 4.0 technologies are reshaping supply chain management (SCM) strategies such as lean manufacturing, agile SCM, and cross-docking. AI and block chain are shown to significantly enhance supply chain agility and resilience. Companies that integrate these technologies tend to have more streamlined operations, shorter lead times, and higher customer satisfaction rates. Environmental sustainability practices are becoming increasingly important as businesses strive for more eco-friendly manufacturing processes. The study finds that organizations employing agile supply chain practices and leveraging advanced technologies often demonstrate superior operational efficiency and financial performance. The integration of these technologies also introduces challenges, such as increased supply chain complexity and risk management concerns. This paper provides a comprehensive overview of how Industry 4.0 technologies are revolutionizing manufacturing and supply chain dynamics. It highlights the future trajectory of smart manufacturing and emphasizes the need for continued innovation to address emerging challenges. The research offers insights into how companies can adapt their supply chain strategies to thrive in the evolving landscape of digital transformation and automation
Financial Literacy in the Age of Digital Finance: A Global Perspective
Get PDFGlobal financial landscapes have changed recently due to the digitalization of financial services, which presents opportunities and difficulties for improving financial literacy. To comprehend how digitalization affects people's financial knowledge, abilities, and behaviors across various socioeconomic and cultural contexts, this study investigates the effects of digital finance on financial literacy levels globally. The main goal is to look into how digital finance affects financial literacy around the world. To clarify the main factors influencing financial literacy in digital contexts, this study will examine the body of existing literature and empirical research. Additionally, it seeks to evaluate the success of ongoing financial literacy programs and suggest methods for improving financial literacy in the face of growing digitization. The study makes use of qualitative research techniques, which include a thorough evaluation of the literature that includes scholarly articles, reports, and policy papers. In addition, document analysis of industry reports and regulatory frameworks pertaining to digital finance and financial literacy is part of it. Effective personal financial management requires financial literacy, which is becoming more and more important when it comes to digital finance. Peer-to-peer lending, digital wallets, and mobile banking are examples of digital finance. While they increase financial inclusion, they also come with a learning curve that must be overcome in order to fully reap the rewards. Research highlights the beneficial relationship between better financial decision-making and financial literacy, which is aided by digital learning resources. Consumer education on digital financial hazards is particularly important in light of challenges with consumer protection and data privacy. Programs for financial literacy that are effective should be customized for a range of demographics and make use of digital platforms to increase relevance and involvement. Developing strong regulatory frameworks to protect digital financial transactions, raising consumer awareness through focused educational initiatives, and improving financial literacy programs to incorporate training in digital financial skills are some of the recommendations. Improving digital infrastructure and adapting educational activities to local contexts are necessary to address global inequities. It is advised to do longitudinal study to evaluate long-term effects, and novel pedagogical strategies such as gamification ought to be investigated to improve financial practices worldwide. This conclusion of the study emphasizes how critical it is to address issues and take advantage of opportunities in digital banking in order to improve global financial literacy. By putting these suggestions into practice, stakeholders can create a robust and inclusive financial ecosystem that protects consumer interests and encourages responsible financial conduct while enabling people all around the world to successfully manage digital banking. In the digital era, this study supports evidence-based policies and practices that promote financial inclusion and sustainable economic development.
 
BIG DATA ANALYTICS FOR ENHANCED BUSINESS INTELLIGENCE IN FORTUNE 1000 COMPANIES: STRATEGIES, CHALLENGES, AND OUTCOMES
Get PDFThis study investigates the transformative impact of big data analytics and business intelligence on the operations and strategic decision-making of Fortune 1000 companies, with a focus on Walmart. Walmart's integration of advanced data analytics tools has enabled significant optimization across various business areas, including inventory management, customer engagement, and supply chain operations. Leveraging big data, Walmart has gained deep insights into customer behavior, allowing for accurate demand forecasting and streamlined operations, which enhance operational efficiency and competitive advantage. The study highlights Walmart's use of predictive analytics to improve inventory management and supply chain efficiency, demonstrating how analyzing purchasing patterns and customer preferences reduces stockouts and excess inventory, thus boosting customer satisfaction and minimizing costs. Despite its advanced infrastructure, Walmart faces challenges in data integration and real-time analytics due to data silos created by its vast operations. Enhancing real-time analytics integration and data governance practices is crucial to ensure data quality, security, and compliance. Additionally, the study examines Walmart's strategic use of dynamic pricing algorithms to adjust prices in real-time based on market conditions, effectively maximizing sales and profitability, aligning with previous research on dynamic pricing benefits in retail. Furthermore, the broader economic implications of Walmart's data-driven strategies are discussed, noting that while Walmart's efficient operations and lower prices benefit consumers, they also pose challenges for small local businesses. This study provides a detailed analysis of Walmart's leverage of big data analytics and business intelligence to sustain its competitive advantage and drive business success, offering valuable insights for other Fortune 1000 companies on the importance of technology, organizational culture, and governance in achieving sustained business success.
 
SUPPLY CHAIN RISK MANAGEMENT: STRATEGIC SOLUTIONS FOR REDUCING TRANSPORTATION AND LOGISTICS RISKS
Get PDFThis study investigates strategic approaches to mitigating risks in transportation and logistics within global supply chains, focusing on the integration of advanced technologies, flexibility, collaboration, and sustainability. By employing the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, the study systematically reviews 37 key articles to provide a comprehensive understanding of modern risk management practices. The findings reveal the increasing reliance on technologies such as predictive analytics, the Internet of Things (IoT), and blockchain for enhancing visibility, monitoring, and decision-making. Flexibility in logistics networks, including alternative sourcing and diversified transportation routes, emerged as crucial for mitigating disruptions, while collaboration among supply chain partners, particularly through real-time information sharing, significantly reduces risk exposure. Additionally, the study highlights the growing integration of sustainability into risk management, addressing climate change and environmental risks. This research underscores the need for proactive, adaptable, and sustainable risk management strategies to maintain supply chain resilience in the face of evolving global challenges
MIS Solutions During Natural Disaster Management: A Review On Responsiveness, Coordination, And Resource Allocation
Get PDFThis systematic review explores the impact of Management Information Systems (MIS) on enhancing disaster management by optimizing decision-making, resource allocation, and inter-agency communication. As the frequency and severity of natural disasters increase globally, there is a pressing need for more efficient disaster response mechanisms. This study systematically reviewed a total of 160 peer-reviewed articles published between 2010 and 2024, following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines to ensure a comprehensive and transparent review process. The findings reveal that MIS technologies, such as decision support systems (DSS), geographic information systems (GIS), and predictive analytics, play a crucial role in improving the speed and accuracy of emergency responses. Specifically, DSS and predictive models were found to enhance situational awareness and optimize resource deployment, reducing response times by up to 30%. Additionally, GIS tools significantly improved spatial data analysis, enabling better-targeted relief efforts. However, challenges related to data interoperability, cybersecurity, and the integration of advanced technologies remain significant barriers to fully leveraging MIS in disaster management. Addressing these challenges through investments in infrastructure, standardized protocols, and specialized training will be essential for maximizing the potential of MIS in future disaster response efforts. The review concludes that the strategic use of MIS is vital for building more resilient and responsive disaster management systems, ultimately reducing the socio-economic impacts of emergencies
OPTIMIZING SQL DATABASES FOR BIG DATA WORKLOADS: TECHNIQUES AND BEST PRACTICES
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In the era of big data, SQL databases face significant challenges in handling vast volumes of data efficiently. This article explores optimization techniques and best practices for enhancing the performance and scalability of SQL databases in handling big data workloads. The study addresses the significant challenges faced by traditional SQL databases, including scalability issues, performance bottlenecks, resource constraints, and data integration complexities. Through a comprehensive methodology involving literature review, case studies, expert interviews, and performance testing, the research identifies effective strategies such as indexing, partitioning, sharding, and caching. Findings from case studies in e-commerce and financial services sectors demonstrate substantial improvements in query performance and resource utilization, validating the practical benefits of these optimization techniques. The study underscores the importance of a multifaceted approach to database optimization, integrating both theoretical and practical insights to address the complexities of big data environments. By staying informed and adopting the latest optimization strategies, database administrators and IT professionals can ensure their SQL databases remain efficient, scalable, and capable of managing the increasing demands of large-scale data processing, ultimately enabling organizations to derive valuable insights from their data
Harnessing Business Analytics For Market Competitiveness: Discovering Pathways To Growth
Get PDFBusiness analytics is becoming an essential tool for firms looking to boost market competitiveness and spur growth in a more competitive corporate environment. This study examines how analytics are essential for guiding strategic choices and enhancing operational effectiveness. The significance of the study stems from its capacity to provide light on how companies might use data to their advantage competitively. The main goals of this study are finding the critical elements that affect the effective application of business analytics, investigate how analytics support organizational development, and address the difficulties that businesses encounter in this pursuit. The study seeks to offer a thorough framework that combines theoretical viewpoints with real-world business analytics applications. The gap between the availability of advanced analytics technologies and how well firms use them is the main issue this study attempts to address. The collection includes pertinent case studies and opinions from analytics professionals and leaders in the field. The main conclusions show that to benefit from business analytics fully, real-time data use, technology improvements, and strategic alliances are essential. However, there are still major obstacles to adoption, such as large upfront investment costs and a lack of a data-driven culture. Focusing on particular businesses and possible biases in self-reported data are two of the weaknesses of the study. The theoretical ramifications point to the necessity of more research into frameworks that incorporate analytics into corporate strategy. The results provide useful suggestions for companies looking to improve their analytical skills and gain a competitive edge. Businesses can improve their position for long-term growth in a changing market by comprehending and addressing these trends