Fair East Publishers: E-Journals
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REVIEW ON THE EVOLUTION AND IMPACT OF IOT-DRIVEN PREDICTIVE MAINTENANCE: ASSESSING ADVANCEMENTS, THEIR ROLE IN ENHANCING SYSTEM LONGEVITY, AND SUSTAINABLE OPERATIONS IN BOTH MECHANICAL AND ELECTRICAL REALMS
No full textThis study provides a comprehensive review of the evolution and impact of Internet of Things (IoT)-driven predictive maintenance, focusing on advancements in technology, their role in enhancing system longevity, and promoting sustainable operations in mechanical and electrical systems. The primary objective was to assess how IoT integration has transformed traditional maintenance approaches, leading to improved system durability and reliability. Utilizing a systematic literature review methodology, the study involved sourcing data from peer-reviewed journals, conference proceedings, and industry reports. A content analysis approach was employed to analyze the data, focusing on themes such as technological advancements, sustainability considerations, and industry-specific applications of IoT in predictive maintenance. Key findings reveal significant advancements in IoT applications, particularly the integration of advanced data analytics, artificial intelligence, and machine learning in predictive maintenance strategies. These advancements have led to more accurate and timely maintenance interventions, contributing to enhanced system longevity and operational efficiency. The study also highlights the emergence of green IoT practices and the challenges and opportunities in the future landscape of IoT in predictive maintenance. The study concludes that IoT-driven predictive maintenance is pivotal for sustainable industrial operations, with opportunities lying in addressing challenges through innovative solutions and robust regulatory frameworks. Recommendations for industry and policy include fostering sustainable IoT practices and prioritizing energy efficiency. Future research directions involve exploring the integration of IoT with emerging technologies and investigating the long-term environmental impacts of IoT deployments.
Keywords: Predictive Maintenance, System Longevity, Sustainable Operations, Internet of Things
AI-DRIVEN ENVIRONMENTAL HEALTH DISEASE MODELING: A REVIEW OF TECHNIQUES AND THEIR IMPACT ON PUBLIC HEALTH IN THE USA AND AFRICAN CONTEXTS
No full textThis scholarly paper embarks on an exploratory journey into the realm of AI-driven environmental health disease modeling, with a keen focus on its implications in the diverse healthcare landscapes of the USA and Africa. The study's background delves into the historical evolution of disease modeling techniques, emphasizing the revolutionary role of AI in modern public health strategies. It meticulously examines the comparative effectiveness of AI models in these distinct regions, addressing the challenges and opportunities inherent in AI-driven health models. Aiming to unravel the multifaceted impact of AI in disease prediction and public health policy, the paper navigates through various thematic corridors. It critically analyzes the significance of data sources and quality, ethical considerations in AI health modeling, and the integration of AI models into public health policies. The scope of the paper encompasses a comprehensive review of AI's efficacy in predicting environmental diseases, its role in enhancing disease surveillance systems, and the geographic and socioeconomic variations affecting model accuracy. The main findings reveal that AI models, while effective in disease prediction and surveillance, encounter challenges related to data integrity and ethical complexities. The study concludes that the integration of AI in healthcare necessitates a balanced approach, advocating for policies that support the development of context-specific AI models and address ethical concerns. Recommendations include fostering interdisciplinary collaboration and continuous evaluation of AI models to align them with evolving healthcare needs and ethical standards. This paper serves as a beacon for understanding AI's transformative potential in environmental health disease modeling, offering insights that are crucial for shaping future public health strategies and interventions.
Keywords: AI in Healthcare, Disease Modeling, Public Health Policy, Data Quality, Ethical Considerations, Geographic Variations
REVIEWING THE IMPACT OF EMBEDDED SYSTEMS IN MEDICAL DEVICES IN THE USA
No full textThe integration of embedded systems in medical devices has revolutionized the healthcare landscape in the United States, fostering advancements in patient care, diagnostics, and treatment modalities. This review provides a concise overview of the extensive review conducted to understand the multifaceted impact of embedded systems in medical devices within the USA. Embedded systems, characterized by their compact size and integration into various medical devices, play a pivotal role in enhancing the efficiency, accuracy, and functionality of healthcare technologies. This review explores the pervasive influence of embedded systems in diverse medical applications, ranging from wearable devices monitoring vital signs to sophisticated imaging equipment and life-saving implantable devices. The analysis encompasses a comprehensive examination of the regulatory landscape governing embedded medical devices in the USA, emphasizing the stringent standards set by regulatory bodies such as the Food and Drug Administration (FDA). The evolving regulatory framework reflects the ongoing efforts to balance innovation with patient safety, ensuring that embedded systems adhere to the highest standards of reliability and security. Furthermore, the review delves into case studies and real-world examples, showcasing instances where embedded systems have contributed significantly to medical breakthroughs and improved patient outcomes. The integration of artificial intelligence, data analytics, and connectivity within embedded systems has enabled healthcare professionals to access real-time patient data, facilitating timely interventions and personalized treatment plans. However, the review also addresses challenges and concerns, including cybersecurity risks and the need for standardized interoperability among different embedded systems. The potential for remote hacking and data breaches underscores the importance of robust cybersecurity measures in the rapidly evolving landscape of medical device technology. This comprehensive review sheds light on the transformative impact of embedded systems in medical devices within the USA. By examining both the positive contributions and challenges associated with these technologies, stakeholders can make informed decisions to further propel the integration of embedded systems for improved healthcare outcomes.
Keywords: Embedded System, Medical, Devices, USA, Health, Review
Developing inclusive AI digital content strategies for economically depressed communities in the US: Focus on Appalachian Kentucky
Get PDFCommunities in Appalachian Kentucky that are having trouble with money have big differences in health and technology (Appalachian Regional Commission [ARC], 2017; Vanderpool et al., 2021). This paper suggests a comprehensive AI digital content strategy to improve health communication and outcomes in these kinds of communities. We look at studies about the digital divide and health differences in Appalachian Kentucky. We note that not many people have access to broadband, not many people know how to use technology, and a lot of people have chronic diseases (Pollard & Jacobsen, 2019; ARC, 2017). We use ideas from digital equity, AI ethics, co-design, and health communication to come up with research questions about how to co-design AI-driven content that will reach people in Appalachia who don't get enough of it. The method uses community-based participatory design, needs assessments, and a pilot of an AI-supported health information platform that uses more than one method. The results show that the intervention will improve people's knowledge about health, their use of digital tools, and their use of preventive care. This agrees with earlier research that found that digital tools can help people in rural areas get health care more easily when barriers are removed (Maita et al., 2024). We want to show that AI content that is co-designed and fits with the culture can fill in information gaps without making biases worse (Robinson et al., 2024; Dankwa-Mullan, 2024). The discussion is mostly about what this means for AI ethics and digital equity, with an emphasis on building trust in the community and long-term success. We finish with policy ideas for improving broadband access in rural areas, helping people buy devices, teaching people how to use technology, making sure AI is used in a fair way, and putting community voices at the heart of technology design. This study shows how AI strategies that include everyone can help make health care more fair in Appalachian Kentucky and other areas that don't get enough of it (King, 2023; Scutchfield & Patrick, 2020).
Keywords: Digital Equity, Health Disparities, AI-Driven Communication, Community Co-Design, Broadband Access
ENHANCING CUSTOMER SERVICE IN SATELLITE TELECOMMUNICATIONS: A REVIEW OF DATA-DRIVEN INSIGHTS AND METHODOLOGIES FOR PERSONALIZED SERVICE OFFERINGS
Get PDFEnhancing customer service in satellite telecommunications is a critical focus area for companies seeking to differentiate themselves in a competitive market. This Review reviews data-driven insights and methodologies aimed at delivering personalized service offerings to satellite telecommunications customers. Personalized service offerings leverage data analytics to tailor services to individual customer needs and preferences. By analyzing customer data, such as usage patterns, service history, and feedback, satellite telecommunications companies can gain valuable insights into customer behavior and preferences. These insights enable companies to offer customized services that meet the specific needs of each customer. Data-driven insights play a crucial role in enhancing customer service in satellite telecommunications. By analyzing customer data, companies can identify trends and patterns that help them understand customer needs and preferences better. This understanding enables companies to develop personalized service offerings that resonate with customers and drive customer satisfaction and loyalty. Methodologies for delivering personalized service offerings in satellite telecommunications include predictive analytics, machine learning, and artificial intelligence. Predictive analytics enables companies to forecast customer behavior and anticipate future needs, allowing them to proactively address customer needs. Machine learning algorithms can analyze large volumes of customer data to identify patterns and trends that would be difficult for humans to detect. Artificial intelligence can enhance customer service by enabling companies to automate processes and provide personalized recommendations to customers. In conclusion, enhancing customer service in satellite telecommunications requires a data-driven approach that leverages insights and methodologies to deliver personalized service offerings. By analyzing customer data and using advanced analytics and AI technologies, satellite telecommunications companies can tailor services to individual customer needs and preferences, driving customer satisfaction and loyalty.
Keywords: Customer Service, Satellite, Telecommunications, Data-driven, Service Offerings
BUSINESS STRATEGIES IN VIRTUAL REALITY: A REVIEW OF MARKET OPPORTUNITIES AND CONSUMER EXPERIENCE
No full textVirtual Reality (VR) has emerged as a transformative technology, revolutionizing the way businesses operate and interact with consumers. This abstract provides a comprehensive review of business strategies employed in the realm of Virtual Reality, focusing on market opportunities and consumer experiences. The study delves into the dynamic landscape of VR, exploring its applications across various industries and the strategic approaches adopted by businesses to capitalize on this burgeoning market. The first section of the review highlights the diverse market opportunities that VR presents. From gaming and entertainment to healthcare, education, and corporate training, businesses are increasingly leveraging VR to create immersive experiences and enhance operational efficiency. The analysis unveils key trends in VR adoption, shedding light on the sectors poised for substantial growth and the strategic considerations guiding market entry and expansion. The second segment explores the pivotal role of consumer experience in shaping the success of VR-based ventures. Businesses are recognizing the significance of delivering seamless and captivating VR experiences to gain a competitive edge. This section evaluates consumer expectations, challenges, and preferences in the VR landscape, emphasizing the need for innovative strategies to enhance user engagement and satisfaction. Moreover, the abstract addresses the evolving nature of business models in the VR ecosystem, including subscription-based services, content creation, and hardware development. It discusses the collaborative efforts between technology giants, startups, and content creators to create a robust VR ecosystem. This abstract offers valuable insights into the multifaceted world of business strategies in Virtual Reality, providing a roadmap for entrepreneurs, investors, and industry stakeholders seeking to navigate the complex terrain of VR market opportunities and deliver unparalleled consumer experiences. As VR continues to reshape industries, understanding and adapting to these strategies will be crucial for achieving sustainable success in this dynamic and rapidly evolving domain.
Keywords: Business Strategy, virtual Reality, Consumer Experience, Market Opportunities, Review
THE ROLE OF PREDICTIVE ANALYTICS IN OPTIMIZING SUPPLY CHAIN RESILIENCE: A REVIEW OF TECHNIQUES AND CASE STUDIES
Get PDFThis study investigates the transformative impact of predictive analytics on enhancing supply chain resilience (SCR). Employing a systematic literature review and content analysis, the research aims to explore the integration, challenges, and strategic implications of predictive analytics within the supply chain ecosystem. Focusing on literature from 2014 to 2023, the study synthesizes insights from peer-reviewed articles and conference papers, adhering to stringent inclusion and exclusion criteria to ensure relevance and recency. The findings reveal that predictive analytics significantly contributes to supply chain agility, flexibility, and responsiveness, thereby bolstering SCR against disruptions. Key challenges identified include data privacy concerns, the need for skilled personnel, and the integration of predictive analytics into existing supply chain frameworks. Despite these challenges, the future outlook for predictive analytics in SCM is promising, with potential for unprecedented efficiency, sustainability, and competitive advantage. Strategic recommendations for practitioners emphasize the importance of developing predictive analytics capabilities, prioritizing data governance, and continuous staff training. For policymakers, the study suggests the need for standards and regulations that encourage innovation while ensuring the ethical use of predictive analytics. Finally, predictive analytics is pivotal in revolutionizing SCM, offering pathways for innovation, efficiency, and enhanced resilience. Future research should focus on the integration of emerging technologies, ethical data use frameworks, and overcoming adoption barriers, particularly in SMEs and developing economies. This study underscores the critical role of predictive analytics in the future of SCM, driving forward the agenda for research and practice in this evolving field.
Keywords: Predictive Analytics, Supply Chain Resilience, Systematic Literature Review, Strategic Implications
HARNESSING BUSINESS ANALYTICS FOR GAINING COMPETITIVE ADVANTAGE IN EMERGING MARKETS: A SYSTEMATIC REVIEW OF APPROACHES AND OUTCOMES
Get PDFThis study systematically reviews the impact of business analytics on achieving competitive advantage in emerging markets, focusing on the integration of advanced analytical tools and strategies within organizational processes. Employing a systematic literature review and content analysis methodology, this research scrutinizes peer-reviewed articles, conference papers, and grey literature from 2018 to 2023, sourced from databases such as Web of Science, Scopus, and IEEE Xplore. The inclusion criteria targeted studies that explore the application, outcomes, and strategic implications of business analytics, while exclusion criteria filtered out non-peer-reviewed sources, non-English literature, and studies outside the scope of emerging markets or published before 2018. Key findings reveal that business analytics significantly enhances strategic decision-making, operational efficiency, and innovation, providing firms in emerging markets with a robust foundation for sustaining competitive advantage. The study identifies the critical role of data-driven insights in transforming organizational strategies and operations. However, challenges such as data privacy, security, and the digital skills gap pose potential barriers to the full realization of business analytics benefits. The study concludes with strategic recommendations for practitioners and policymakers to foster a culture of data literacy and develop supportive frameworks for data privacy and security. Future research directions are proposed to bridge existing gaps in literature, particularly focusing on the long-term impacts of business analytics, ethical considerations, and the integration of emerging technologies. This research contributes to the understanding of how business analytics can be leveraged to navigate the complexities of emerging markets, offering a roadmap for organizations seeking to harness data for competitive advantage.
Keywords: Business Analytics, Competitive Advantage, Emerging Markets, Data-Driven Decision-Making
Risk Management in Global Supply Chains: Addressing Vulnerabilities in Shipping and Logistics
Get PDFThis paper explores the critical aspects of risk management in global supply chains, with a specific focus on vulnerabilities within shipping and logistics. The interconnected nature of today's supply chains exposes them to various risks, ranging from natural disasters and geopolitical tensions to operational challenges and cybersecurity threats. The paper outlines a comprehensive framework for risk identification, assessment, and mitigation, emphasizing the importance of proactive strategies in addressing potential disruptions. Diversification of suppliers and transportation routes, technological investments, insurance coverage, and enhanced collaboration are highlighted as key mitigation measures. Through case studies, the paper examines successful risk management practices and draws insights from failures. Additionally, it delves into emerging trends, such as technological advancements and climate change adaptation, providing a forward-looking perspective on evolving risks. The conclusion underscores the dynamic nature of global supply chain risks and advocates for continuous improvement in risk management practices to ensure resilience and sustainability.
Keywords: Risk Management, Global, Supply Chains, Vulnerabilities, Shipping and Logistics
LEADERSHIP IN GLOBAL HEALTH: NAVIGATING CHALLENGES AND OPPORTUNITIES FOR IMPACTFUL OUTCOMES IN AFRICA AND SRI LANKA
Get PDFEffective leadership is paramount in addressing the complex challenges and harnessing the opportunities in global health, particularly in regions such as Africa and Sri Lanka. This review explores the multifaceted dimensions of leadership within the context of global health, highlighting the unique challenges and opportunities faced by these regions. In Africa, leadership in global health is confronted with a myriad of challenges including limited resources, political instability, and infrastructural deficiencies. The burden of infectious diseases, inadequate healthcare access, and socio-economic disparities further exacerbate the complexities. However, amidst these challenges lie opportunities for transformative leadership. Visionary leaders can leverage partnerships, innovative technologies, and community engagement to strengthen health systems, promote preventive healthcare, and address the root causes of health inequities. Similarly, in Sri Lanka, leadership in global health faces its own set of challenges and opportunities. Despite notable achievements in healthcare infrastructure and disease control, the country grapples with emerging health threats, non-communicable diseases, and disparities in healthcare access. Effective leadership is essential in mobilizing resources, fostering intersectoral collaboration, and implementing evidence-based interventions to ensure equitable health outcomes for all segments of the population. In both regions, transformative leadership in global health necessitates a multidisciplinary approach that integrates political commitment, scientific innovation, and community participation. Leaders must possess strong communication skills, cultural competence, and a deep understanding of local contexts to navigate the intricate socio-political landscapes. Furthermore, fostering leadership capacity at all levels of the healthcare system is crucial for sustainability and resilience in the face of evolving health challenges. By examining the challenges and opportunities for leadership in global health within the contexts of Africa and Sri Lanka, this review underscores the importance of visionary leadership in driving impactful outcomes. Empowering leaders to navigate complexities, foster collaboration, and innovate solutions is essential for advancing the global health agenda and achieving health equity on a global scale.
Keywords: Leadership, Global Health, Africa, Sri Lanka, Healthcare, Revie