All Academic Research: OJS
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TRANSFORMING HEALTHCARE DELIVERY THROUGH BIG DATA IN HOSPITAL MANAGEMENT SYSTEMS: A REVIEW OF RECENT LITERATURE TRENDS
Get PDFThis systematic review investigates the transformative role of big data technologies in biomedical research, analyzing 40 peer-reviewed articles published between 2010 and 2023. The review specifically explores advancements in next-generation sequencing (NGS), multi-omics approaches, machine learning, and artificial intelligence (AI), all of which have significantly enhanced the understanding of complex biological systems and diseases. NGS has emerged as a key tool in personalized medicine, enabling rapid and cost-effective genome sequencing that has facilitated the identification of genetic mutations and biomarkers associated with various diseases, particularly in oncology. Of the 40 studies reviewed, 12 focused on the integration of multi-omics data—genomics, transcriptomics, proteomics, and metabolomics—to provide a comprehensive view of biological processes. These multi-omics approaches have been instrumental in identifying biomarkers for disease progression and response to treatments, offering new avenues for drug development and precision medicine. Additionally, 15 studies highlighted the growing application of machine learning and AI algorithms in managing and analyzing vast biomedical datasets. These tools are now critical in uncovering hidden patterns within large datasets, predicting disease outcomes, and improving the accuracy of clinical decision-making. However, 10 studies emphasized ongoing challenges related to data storage, privacy concerns, and the lack of standardized data formats, which hinder effective data sharing across institutions. Despite these challenges, the integration of AI, IoT devices, and big data analytics is paving the way for more personalized, real-time healthcare monitoring and treatment solutions. This review concludes that while significant advancements have been made, further efforts are required to address the ethical and technical barriers that limit the full potential of big data technologies in biomedical research.
 
COMPARATIVE ANALYSIS OF COST AND BENEFITS BETWEEN RENEWABLE AND NON-RENEWABLE ENERGY PROJECTS: CAPITALIZING ENGINEERING MANAGEMENT FOR STRATEGIC OPTIMIZATION
Get PDFThis study presents a comprehensive comparative analysis of renewable and non-renewable energy projects, focusing on their economic, environmental, and operational dimensions. Through a mixed-method approach, including in-depth interviews with industry experts and policymakers, the research highlights the distinct challenges and benefits associated with each energy source. The findings reveal that while renewable energy projects require higher initial capital investments, they offer substantial long-term advantages, including significantly reduced operational costs and lower environmental impacts, making them increasingly attractive in the face of advancing technologies and growing regulatory pressures. In contrast, non-renewable energy projects, although benefiting from established infrastructure and lower upfront costs, are burdened by rising fuel prices, operational inefficiencies, and environmental liabilities. The study underscores the critical role of engineering management in optimizing project outcomes, demonstrating that innovative and adaptive management practices are essential for maximizing the value and sustainability of energy investments. These insights provide valuable guidance for policymakers, industry stakeholders, and investors as they make strategic decisions in an increasingly complex and shifting global energy landscape
Human Resource Management: how human resources use and utilize the other factors of production and add value to the enterprise vis-à-vis the national economy
Get PDFIn a world of scarce resources, activities that fail to add value are not worth pursuing. HRM value added means here that HR uses its strength to utilize other factors to produce outcomes for the stakeholders. It is true that well recognized factors of production like land, labour, capital and entrepreneur are required in combination at a time to produce a commodity. Consider entrepreneurship as a factor of production which combines the other factors of production. This entrepreneur is none but the human resource. Human resource or people in any organization play the prime role to add value and drives the other factors of production. Capital itself cannot do anything without the help of people. People or organizer takes capital and pays interest and thus adds value. In the same way land cannot grow anything, people uses land to produce something and pays rent for it. So people play the pivotal role to utilize land and capital to add value and cumulative value added is Gross Domestic Product. No doubt, human resource is the only factor which cannot be imitated and contribute to the national economy helping other factors contribute. So, to develop a country like Bangladesh, we need to give due concentration to human development.
 
THE IMPACT OF CLOUD-BASED MANAGEMENT INFORMATION SYSTEMS ON HRM EFFICIENCY: AN ANALYSIS OF SMALL AND MEDIUM-SIZED ENTERPRISES (SMEs)
Get PDFCloud-based management information systems (MIS) are becoming integral to the operational success of small and medium-sized enterprises (SMEs), particularly in enhancing the efficiency of human resource management (HRM) processes. This article, based on a comprehensive review of 75 peer-reviewed studies, investigates how the adoption of cloud-based MIS positively impacts critical HRM functions such as employee management, recruitment, training, and performance monitoring. The findings indicate that cloud-based systems significantly streamline these HR tasks by reducing time, costs, and the administrative burdens traditionally associated with manual or localized HR operations. Moreover, the integration of real-time data analytics through cloud-based platforms enhances decision-making capabilities, enabling HR professionals to make data-driven and timely decisions that improve overall workforce management. The reviewed studies also emphasize that cloud-based MIS are essential for improving strategic HR planning. These systems allow SMEs to access advanced tools for workforce analytics, employee engagement, and performance tracking, which were previously only accessible to larger corporations. The flexibility and scalability offered by cloud-based MIS enable SMEs to quickly adapt to changes in staffing needs, business growth, and external market conditions without the need for costly infrastructure. Furthermore, the review highlights the role of cloud technology in fostering innovation within HR departments by supporting predictive analytics and AI-driven decision-making, which can further enhance operational efficiency. In addition to operational benefits, cloud-based MIS facilitate a more seamless integration of HR functions across geographically dispersed teams, allowing for enhanced collaboration and communication. This capability is especially critical as SMEs continue to adopt remote and hybrid work models
Application Performance Management in Software Development
Get PDFThis study investigates the crucial function of Application Performance Management (APM) in software development, emphasizing how it affects teamwork, user pleasure, and application quality. Successful APM procedures are now necessary to guarantee the best possible application performance in a competitive environment as businesses depend increasingly on digital solutions. Examining how APM is changing and how it affects software development processes is the main goal of this research. The study's objectives are to evaluate the efficacy of APM methods, uncover important themes, and point out areas that require more investigation. The main issue addressed is the lack of knowledge on the long-term effects of APM on business results and the difficulties that businesses encounter when implementing APM methods. The approach used in this study is qualitative and is based on secondary data collected from industry reports, expert analyses, and existing literature. The main conclusions show that APM is included in DevOps procedures, proactive monitoring is becoming more prevalent, and user-centric metrics are prioritized. Nonetheless, there are still issues with tool selection and use. One of the limitations of this study is using secondary data, which might not fully represent the subtleties of APM practices. The practical implications emphasize the value of implementing cutting-edge monitoring systems and encouraging teamwork. In contrast, the theoretical implications point to the necessity for additional study into the long-term impacts of APM
THE EFFECTIVENESS OF TASK-BASED LEARNING MODULE (TBL) IN ENHANCING MASTERY OF GOOD MANUFACTURING PRACTICE (GMP) IN PHARMACEUTICAL ENGINEERING COURSES FOR CHINESE VOCATIONAL COLLEGES
Get PDFThe issuance of the guidelines for the modernization of vocational education in China by 2025 along with the “Opinions on Promoting the High-quality Development of Modern Vocational Education” highlights the importance of transforming the existing teaching methods and models along with improving the instructional methodologies of vocational education. Despite being a necessary course for pharmaceutical engineering professionals at colleges and universities, the Good Manufacturing Practice (GMP) course struggles to employ an updated teaching technique that is in congruence with contemporary developments. Therefore, this study aims to explore the impact of Task-Based Learning (TBL) on enhancing students' grades, interests, and proficiency in the GMP course. This study has taken into consideration the individual competence and ability of the students along with exploring the challenges faced by teachers in conducting TBL in enhancing mastery of GMP in pharmaceutical engineering courses for Chinese vocational colleges. For an in-depth analysis of this study, a total of 91 students who pursue bachelor degrees in China are selected to conduct the survey. Furthermore, a total of 4 teachers from two classes are selected for the interview, who have minimum 5 years of experience in GMP vocational courses. The results of this study highlight that TBL is significant in enhancing the ability and academic performance of the students. It has been identified that TBL teaching methods can be beneficial for teachers to increase the effectiveness of the instructional methods in vocational courses. However, it has also been identified that the skills of the teachers to stimulate critical thinking among the students are also an important aspect of TBL. The study is conducive to the integration of theoretical perspectives which elaborates on the significance of the study in terms of GMP in pharmaceutical engineering courses in the context of China
IMPACT OF ONLINE PAYMENT SYSTEMS ON CUSTOMER TRUST AND LOYALTY IN E-COMMERCE ANALYZING SECURITY AND CONVENIENCE
Get PDFThis study systematically reviews the impact of online payment systems on customer trust and loyalty in e-commerce, adhering to PRISMA guidelines. The findings highlight the critical importance of security, convenience, and transparency in shaping customer perceptions and behaviors. Secure payment systems, featuring robust encryption and multi-factor authentication, are essential in protecting sensitive information and mitigating fraud risks, thereby enhancing customer confidence. Convenience, characterized by user-friendly interfaces, multiple payment options, and quick transaction processes, significantly improves the overall shopping experience and fosters customer satisfaction. Transaction transparency, through clear communication about charges, detailed receipts, and real-time tracking, is pivotal in building and maintaining trust. The review underscores the strong relationship between trust and loyalty, revealing that secure, convenient, and transparent payment systems are vital for achieving long-term customer loyalty. E-commerce platforms that prioritize these aspects can significantly enhance customer trust and loyalty, ensuring sustained success in the competitive digital marketplace. The study provides valuable insights and practical recommendations for e-commerce businesses to optimize their online payment systems and build lasting customer relationships.
 
BIG DATA-DRIVEN DECISION MAKING IN PROJECT MANAGEMENT: A COMPARATIVE ANALYSIS
Get PDFThis study investigates the impact of big data-driven decision-making in construction project management through a qualitative comparative analysis. By conducting semi-structured interviews with project managers, data analysts, and construction workers across various types of construction projects, the research identifies key themes related to the benefits and challenges of integrating big data analytics. The findings highlight significant advantages such as enhanced operational efficiency, improved decision-making processes, cost reduction, budget management, timely project delivery, and quality control and assurance. However, challenges including data integration complexities, privacy concerns, the need for specialized skills, and organizational resistance to change are also revealed. The study underscores the importance of fostering a data-driven culture and strong leadership support to maximize the benefits of big data in construction project management, while also emphasizing the need for context-specific strategies tailored to different project types.
 
Implementation of Porter’s Generic Strategies in The UK Fashion Retail E-Commerce
Get PDFThe application, and implementation of Porter's Generic Strategies in the UK e-commerce fashion retail industry are the main topics of this study into the strategic management practices of UK e-commerce companies. The study will evaluate how major fashion retailers in the UK have adopted and implemented Porter's strategies of cost leadership, differentiation and focus to gain competitive advantage in the market. Academics, practitioners, and business leaders looking to improve their competitive standing and make wise strategic decisions will benefit greatly from the findings.
 
SUSTAINABLE FINANCE AND DATA ANALYTICS: A SYSTEMATIC REVIEW OF ESG DATA IN INVESTMENT DECISIONS
Get PDFThis systematic review investigates the role of Environmental, Social, and Governance (ESG) data in corporate financial performance and investment decision-making. Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, a total of 1,200 articles were initially identified, and through a rigorous screening process, 70 peer-reviewed studies were included in the final analysis. The review reveals significant findings on the positive correlation between high ESG scores and improved long-term financial returns, particularly during periods of market volatility such as the COVID-19 pandemic. Companies with strong ESG practices, especially in areas of environmental sustainability and corporate governance, demonstrated enhanced risk management capabilities and financial resilience. The study also highlights notable sectoral and geographical differences, where environmental factors had a more pronounced impact in high-risk industries like energy and manufacturing, and companies in regions with stricter ESG regulations, such as Europe, showed better financial outcomes. Furthermore, the growing role of AI and machine learning in ESG data collection and analysis is emphasized, as these technologies enable more accurate, real-time risk assessment and decision-making. However, challenges remain in the standardization of social and governance metrics, and there is a need for more longitudinal studies to fully understand the long-term impact of ESG practices. Overall, this review provides a comprehensive analysis of the current state of ESG research and its implications for sustainable corporate performance and investment strategies