Fair East Publishers: E-Journals
Not a member yet
1902 research outputs found
Sort by
THE RISE OF NON-COMMUNICABLE DISEASES: A GLOBAL HEALTH REVIEW OF CHALLENGES AND PREVENTION STRATEGIES
No full text Non-communicable diseases (NCDs) have emerged as a major global health concern, posing significant challenges to healthcare systems worldwide. This paper provides a succinct overview of the rising prevalence of NCDs, examining the key challenges faced and outlining preventive strategies adopted on a global scale. The escalation of NCDs, including cardiovascular diseases, diabetes, cancer, and respiratory conditions, is intricately linked to lifestyle factors, urbanization, and demographic transitions. This paper explores the multifaceted challenges posed by the growing burden of NCDs, encompassing economic implications, disparities in healthcare access, and the complex interplay of genetic and environmental factors. Addressing NCDs necessitates a comprehensive and multi-sectoral approach. Prevention strategies are crucial components of global health initiatives, encompassing lifestyle modifications, public health interventions, and policy frameworks. This paper outlines successful preventive measures adopted globally, including tobacco control initiatives, promotion of healthy diets and physical activity, and the integration of early screening and detection programs. Despite notable progress, several challenges persist, requiring sustained efforts to curb the NCD epidemic. Issues such as limited resources, inadequate healthcare infrastructure, and the need for cross-sectoral collaboration are explored in this paper. Additionally, the role of education, awareness campaigns, and technological innovations in shaping preventive strategies is emphasized. This paper provides a concise yet comprehensive overview of the global challenges posed by the rise of NCDs and highlights effective prevention strategies. It underscores the urgency for continued collaborative efforts to mitigate the impact of NCDs on global health, with a focus on fostering healthier lifestyles, improving healthcare access, and implementing evidence-based policies.
Keywords: Non-communicable Diseases, Global Health, Prevention, Disease, Review, NCD
IMPLEMENTING AI IN BUSINESS MODELS: STRATEGIES FOR EFFICIENCY AND INNOVATION
Get PDFThis review delves into the profound impact of artificial intelligence (AI) integration on contemporary business paradigms. The paper meticulously explores diverse AI applications, including machine learning, natural language processing, and predictive analytics, illustrating how these technologies can revolutionize operational processes, augment decision-making capabilities, and foster unparalleled innovation within organizations. Drawing from case studies and industry examples across various sectors such as finance, healthcare, retail, and manufacturing, the study elucidates successful AI implementation strategies. It examines the importance of robust data governance frameworks to ensure quality and integrity, the acquisition of AI talent, and the imperative of fostering a culture of innovation and adaptability within organizations undergoing AI transformation. Furthermore, the paper addresses the nuanced challenges and risks inherent in AI adoption, spanning ethical considerations surrounding data privacy and bias mitigation, cybersecurity vulnerabilities, and the potential impact on the workforce. By providing a comprehensive overview of the opportunities and challenges associated with AI integration in business models, the study equips organizational leaders, policymakers, and stakeholders with invaluable insights to navigate the evolving landscape of AI-driven innovation. It underscores the significance of strategic foresight, cross-functional collaboration, and continuous learning in harnessing the full potential of AI technologies to drive sustainable growth and competitive advantage in the digital era.
Keywords: AI, Business, Models, Strategies, Efficiency, Innovation
THE ROLE OF AI IN MARKETING PERSONALIZATION: A THEORETICAL EXPLORATION OF CONSUMER ENGAGEMENT STRATEGIES
Get PDFThis paper explores the transformative potential of Artificial Intelligence (AI) in personalizing marketing strategies. It delves into the theoretical underpinnings of consumer engagement sand investigates how AI can be leveraged to develop targeted and relevant marketing experiences. AI can personalize messages based on consumer behavior and demographics, influencing the processing route and maximizing engagement. This theory explores the use of game mechanics to motivate and engage users. AI can personalize gamified marketing experiences, tailoring rewards and challenges to individual consumer preferences, driving deeper engagement. Algorithms can analyze vast amounts of customer data to predict individual preferences and behaviors. This allows for targeted advertising, product recommendations, and content that resonates with specific consumer segments. Natural Language Processing (NLP), AI-powered NLP tools analyze customer reviews, social media conversations, and other forms of unstructured data. This allows brands to understand customer sentiment and personalize communication styles for optimal engagement AI-powered chatbots and virtual assistants can provide personalized customer support and product recommendations in real-time, fostering a more interactive and engaging brand experience. Potential Benefits and Considerations Personalized marketing messages and experiences cater to individual needs and preferences, leading to higher satisfaction and loyalty. By tailoring content and offerings to specific consumer segments, brands can establish a more relevant and relatable image. Improved Conversion Rates, Personalized marketing campaigns can be highly targeted and effective, leading to increased conversions and sales. Balancing personalization with data privacy concerns is crucial. Transparency and user control over data collection practices are essential. AI algorithms can perpetuate biases present in training data. Ensuring fairness and inclusivity in AI-powered marketing is paramount. AI is revolutionizing marketing personalization. By leveraging AI's analytical capabilities and understanding the theoretical aspects of consumer engagement, brands can develop targeted and relevant marketing strategies that foster deeper customer connections and drive business growth.
Keywords: AI Personalization, Consumer Engagement, Marketing Strategy, Theoretical Exploration, Data Privacy, Algorithmic Bias
Theoretical insights into IT governance and compliance in banking: Perspectives from African and U.S. regulatory environments
Get PDFThis review paper provides a comprehensive comparative analysis of IT governance and compliance within the banking sectors of Africa and the U.S., highlighting the intricacies of navigating diverse regulatory environments. Through examining governance strategies, compliance mechanisms, and best practices, the paper underscores the adaptation of frameworks like COBIT, ISO/IEC 27001, and ITIL to meet regional regulatory demands and operational challenges. Key insights reveal significant differences in regulatory landscapes, technological maturity, and cybersecurity and risk management approaches. The analysis identifies best practices and lessons that can be leveraged globally, suggesting areas for future research including emerging technologies and the impact of global regulations. This work aims to enhance understanding of IT governance and compliance, offering valuable perspectives for banks, regulators, and policymakers.
Keywords: IT Governance, Compliance, Banking Sector, Regulatory Environment, Cybersecurity, Emerging Technologies
Enhancing manufacturing productivity: A review of AI-Driven supply chain management optimization and ERP systems integration
Get PDFThis abstract delves into the realm of manufacturing productivity enhancement through the review of AI-driven supply chain management (SCM) optimization and Enterprise Resource Planning (ERP) systems integration. As industries strive for operational excellence, the convergence of artificial intelligence (AI) and supply chain management emerges as a transformative force in driving efficiency, agility, and competitiveness. Through a comprehensive analysis, this abstract examines the synergistic relationship between AI-driven SCM optimization and the integration of ERP systems, elucidating their collective impact on manufacturing productivity. AI-driven SCM optimization encompasses a spectrum of technologies and methodologies, including predictive analytics, machine learning, and autonomous decision-making systems, aimed at optimizing various facets of the supply chain, from demand forecasting and inventory management to production planning and logistics optimization. By harnessing the power of AI, manufacturers can enhance forecasting accuracy, reduce lead times, optimize inventory levels, and mitigate supply chain disruptions, thereby improving overall productivity and customer satisfaction. Integration of ERP systems plays a complementary role in manufacturing productivity enhancement by providing a centralized platform for data management, process automation, and cross-functional collaboration. Through seamless integration with AI-driven SCM optimization tools, ERP systems enable real-time data exchange, actionable insights, and end-to-end visibility across the supply chain, facilitating informed decision-making and agile response to dynamic market conditions. Drawing insights from case studies and industry examples, this abstract highlights best practices, challenges, and emerging trends in AI-driven SCM optimization and ERP systems integration. Strategies for successful implementation, including organizational readiness assessment, change management, and stakeholder engagement, are discussed to guide manufacturers in unlocking the full potential of these transformative technologies. In conclusion, the convergence of AI-driven SCM optimization and ERP systems integration offers a compelling pathway for enhancing manufacturing productivity, driving operational excellence, and sustaining competitive advantage in the digital era..
Keywords: Artificial Intelligence, Supply Chain Management, Enterprise Resource Planning, Manufacturing Productivity, AI Integration, Predictive Analytics
Enhancing business performance: The role of data-driven analytics in strategic decision-making
Get PDFIn today’s highly competitive business landscape, organizations are increasingly turning to data-driven analytics to enhance performance and inform strategic decision-making. This approach leverages vast amounts of data, transforming it into actionable insights that drive efficiency, innovation, and growth. The role of data-driven analytics is multifaceted, encompassing predictive, prescriptive, and descriptive analytics, each contributing uniquely to the decision-making process. Predictive analytics forecasts future trends and behaviors, enabling proactive strategies. Prescriptive analytics provides recommendations for optimal actions based on various scenarios, while descriptive analytics offers a clear view of past performance, helping to identify patterns and opportunities for improvement. The integration of advanced data analytics tools and techniques has revolutionized how businesses operate, particularly in areas such as marketing, finance, supply chain management, and customer relationship management. By utilizing data analytics, companies can identify market trends, understand customer preferences, optimize operations, and reduce costs. For example, in marketing, data-driven insights allow for targeted campaigns and personalized customer experiences, leading to higher conversion rates and customer loyalty. In supply chain management, analytics improve demand forecasting and inventory management, enhancing overall efficiency. Furthermore, the adoption of data-driven analytics fosters a culture of evidence-based decision-making within organizations. Leaders can make informed decisions quickly, reducing the risks associated with gut-feel approaches and ensuring that strategies are aligned with market realities and organizational goals. This shift towards analytics-based decision-making is supported by advancements in artificial intelligence and machine learning, which enhance the accuracy and depth of insights generated from data. However, the journey to becoming a data-driven organization is not without challenges. It requires significant investments in technology, talent, and change management. Organizations must also address data privacy and security concerns to maintain stakeholder trust. Despite these challenges, the benefits of data-driven analytics in strategic decision-making are undeniable. It empowers businesses to navigate complexities, seize opportunities, and achieve sustainable competitive advantages. In conclusion, data-driven analytics is a critical enabler of enhanced business performance. Its strategic application in decision-making processes not only drives operational excellence but also positions organizations for long-term success in a dynamic market environment.
Keywords: Decision-Making, Data-Driven, Analytics, Business Performance, Strategic
Comprehensive approach to claim assessment in construction project
Get PDFEffective claim management is crucial in construction projects to ensure fair resolution of disputes, control costs, and maintain project schedules. This article analyzes the claim assessment practices in construction projects across four regions: Malaysia, the United Kingdom (UK), Vietnam, and Lagos (Nigeria). By examining successful claim assessments, identifying lessons from disputed claims, and conducting a comparative analysis, the study uncovers effective strategies and common challenges in claim management. Key findings highlight the importance of comprehensive documentation, proactive claim management, and the use of advanced tools such as Building Information Modeling (BIM) and Project Management Information Systems (PMIS). Successful projects often employed robust documentation practices, clear communication channels, and advanced analytical tools to resolve claims efficiently. Lessons learned emphasize the necessity of clear contract terms, regular training for site staff, and standardized procedures to mitigate disputes. Recommendations for practitioners include implementing robust documentation practices, adopting proactive claim management, enhancing communication and collaboration, using advanced analytical tools, and engaging independent experts. The article also identifies areas for future research, such as the impact of emerging technologies, the effectiveness of Integrated Project Delivery (IPD), and the role of Continuous Professional Development (CPD) programs in enhancing claim management skills. By adopting these best practices and addressing identified challenges, project stakeholders can improve the efficiency, accuracy, and fairness of claim assessments, contributing to the successful completion of construction projects.
Keywords: Claim, Construction, Contract, Delay, Documentation, Management, Project
Public-Private partnership frameworks for financing affordable housing: Lessons and models
Get PDFThe pressing need for affordable housing in both developed and developing countries has prompted governments to explore innovative financing mechanisms, with Public-Private Partnerships (PPPs) emerging as a viable solution. This paper examines the frameworks, lessons, and models of PPPs for financing affordable housing, aiming to provide insights into their effectiveness and scalability. PPPs combine the resources, expertise, and efficiencies of both the public and private sectors to address the housing affordability crisis. By leveraging the strengths of each sector, PPPs aim to reduce financial burdens on governments while ensuring the delivery of quality housing solutions. This review outlines the various PPP models, including build-operate-transfer (BOT), design-build-finance-operate (DBFO), and lease-develop-operate (LDO), highlighting their structural differences and application contexts. Key components of successful PPP frameworks include clear regulatory environments, transparent procurement processes, risk-sharing mechanisms, and robust stakeholder engagement. Regulatory frameworks that support PPPs play a critical role in providing legal certainty and fostering investor confidence. Transparent procurement processes ensure fairness and competitiveness, while effective risk-sharing mechanisms distribute financial, construction, and operational risks appropriately between public and private partners. Engaging stakeholders, including communities and civil society, is essential for aligning project objectives with local needs and ensuring social acceptance. Case studies from various regions illustrate the practical application and outcomes of PPP frameworks. In the United Kingdom, the Affordable Homes Programme (AHP) has effectively utilized PPPs to deliver thousands of affordable housing units, demonstrating the benefits of strong regulatory support and private sector participation. Singapore's Housing and Development Board (HDB) employs PPP models to maintain high housing standards while ensuring affordability through extensive government subsidies and private sector involvement. In South Africa, the Social Housing Regulatory Authority (SHRA) leverages PPPs to develop rental housing for low- and moderate-income households, highlighting the importance of government incentives and capacity-building initiatives. The review concludes that PPP frameworks, when effectively designed and implemented, can significantly enhance the availability of affordable housing. Lessons learned from successful models emphasize the need for supportive policies, transparent processes, and inclusive stakeholder engagement. Policymakers and practitioners can draw on these insights to develop tailored PPP approaches that address specific housing challenges and contribute to sustainable urban development.
Keywords: Public-Private Partnership: Frameworks, Financing, Affordable Housing, Models
Challenges and Opportunities in International Trade Policy Implementation: Insights from the Cameroonian Ministry of Trade
Get PDFThis study meticulously explores the intricate dynamics of Cameroon's trade policies, aiming to elucidate their current state, identify significant challenges, and propose strategic enhancements for more robust economic integration and growth. Against the backdrop of a globalized economy, Cameroon's trade policies play a crucial role in shaping its economic landscape. The research employed qualitative methodologies, including an extensive literature review of works published by various authors on the topic, to garner a comprehensive understanding of the policy environment. The findings reveal critical barriers such as infrastructural deficits, regulatory inefficiencies, and policy implementation challenges that impede effective trade operations. These obstacles not only hinder trade efficiency but also limit Cameroon's potential to capitalize on global market opportunities. The study concludes with several strategic recommendations: prioritizing infrastructure investment to alleviate logistical bottlenecks, streamlining regulatory frameworks to enhance transparency and reduce bureaucratic hurdles, and improving policy-making processes. These measures are designed to fortify Cameroon's trade policy framework, thereby enhancing its economic prospects and global trade integration. The research underscores the importance of a holistic, strategic approach to trade policy development, advocating for sustained, coordinated efforts among all relevant stakeholders. By addressing the identified challenges and leveraging highlighted opportunities, Cameroon can significantly improve its trade policy outcomes, fostering sustainable economic growth.
Keywords: Trade Policy, Cameroon, Economic Integration, Regulatory Framework, Stakeholder Engagement, Infrastructure Investment
THE IMPACT OF JUDICIAL REFORMS ON LEGAL SYSTEMS: A REVIEW IN AFRICAN COUNTRIES
Get PDFThis Review delves into the intricate dynamics of judicial reforms and their consequential impact on legal systems across African countries. As nations grapple with the need for effective, transparent, and accessible justice, this review examines the multifaceted transformations within the judicial realm. The study explores the motivations, methodologies, and outcomes of judicial reforms, shedding light on the implications for legal frameworks, societal justice, and the overall rule of law. The review begins by contextualizing the imperative for judicial reforms in African countries, identifying prevalent challenges and shortcomings in existing legal systems. It delves into the motivations behind the call for reform, encompassing issues such as backlog reduction, corruption mitigation, and the pursuit of equitable access to justice. This sets the stage for a comprehensive examination of the methodologies employed in implementing judicial reforms, encompassing legislative changes, institutional restructuring, and the infusion of technology to enhance legal processes. A critical aspect of the review is the analysis of the tangible outcomes and transformative effects of judicial reforms on legal systems. The study scrutinizes the efficacy of reforms in expediting legal proceedings, ensuring fair and impartial adjudication, and fortifying the protection of individual rights. Additionally, the impact of reforms on the perception of justice, public trust in legal institutions, and the overall rule of law are explored. The diversity of approaches to judicial reforms across African countries is highlighted, showcasing unique challenges, successes, and lessons learned from varied contexts. This nuanced study contributes to a deeper understanding of the complexities involved in reshaping legal systems and informs potential best practices for other nations undergoing or contemplating similar reforms. As the review unfolds, it underscores the interconnectedness of judicial reforms with broader societal and economic dynamics. The evolving role of the judiciary in upholding constitutional principles, safeguarding human rights, and fostering a conducive environment for economic development becomes evident. The Review concludes by emphasizing the significance of ongoing research and dialogue to refine judicial reforms continually, ensuring they align with evolving societal needs and contribute to the advancement of legal systems across the diverse landscape of African nations.
Keywords: Impact, Judicial Reforms, Legal Systems, Public Trust, Impartial