Fair East Publishers: E-Journals
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SME collaboration models for accelerating clean energy innovations: Insights from emerging market economies
No full textThis paper explores the critical role of collaboration between small and medium-sized enterprises (SMEs) and startups in accelerating clean energy innovation in emerging markets. It reviews various collaboration models, including strategic partnerships, incubation and acceleration programs, supply chain integration, and joint research and development (R&D), highlighting their impact on technology development and commercialization. The paper also examines the specific challenges SMEs and startups face, such as funding limitations, intellectual property (IP) concerns, and market access barriers, and analyzes the opportunities presented by new trends like digital platforms, impact investment, and public-private partnerships. The findings emphasize that collaborative efforts are essential for fostering sustainable growth and enabling the successful deployment of clean energy technologies in emerging markets. The paper concludes by discussing future directions and the importance of continued cooperation, supported by favorable policies and regulatory frameworks, in driving the clean energy transition.
Keywords: Clean Energy Innovation, SME-Startup Collaboration, Emerging Markets, Sustainable Growth, Commercialization
The impact of knowledge retention practices on employee turnover in knowledge-intensive firms
No full textThis study examines the impact of knowledge retention practices on employee turnover in knowledge-intensive organizations in Lagos State. The study focuses on mentorship programs and succession planning as a significant set of practices that impact employee retention. It, therefore, seeks to assess the impact of these practices on turnover intentions among employees in marketing and consulting firms. Using descriptive statistics, analysis of correlation, and multiple regression, the study analyzed the data obtained from 29 employees surveyed using Google Forms. The findings indicated that mentorship programs and succession planning reduce intentions of employee turnover, though succession planning had a higher significant level compared to mentorship programs. Such findings suggest that the appropriate implementation of these practices serves to raise organizational stability and reduce turnover. The only limitations are those concerning sample size and reliance on self-reported data, which could be improved to further develop the long-term implications for knowledge retention practices in future research.
Keywords: Knowledge Retention, Employee Turnover, Mentorship Programs, Succession Planning, Knowledge-Intensive Firms
AI-Driven end-to-end workflow optimization and automation system for SMEs
No full textAn AI-driven end-to-end workflow optimization and automation system can revolutionize small and medium-sized enterprises (SMEs) by addressing inefficiencies and resource constraints that hinder productivity and growth. These enterprises often rely on manual processes and fragmented data systems, limiting their ability to scale and compete effectively. Through AI integration, SMEs can enhance productivity, reduce errors, and drive growth, making them more resilient in a competitive landscape. AI-driven workflow optimization combines several core technologies: data integration, process mapping, predictive analytics, and automation through tools like Robotic Process Automation (RPA). Data integration consolidates disparate data sources into a centralized repository, allowing for a comprehensive view of operations. AI algorithms analyze this data to map current workflows, identify bottlenecks, and suggest optimal pathways for task completion. Predictive analytics enables SMEs to make informed decisions, forecast demand, and optimize supply chain processes, while RPA automates repetitive tasks, reducing human error and allowing employees to focus on more strategic activities. An AI-driven system offers key advantages to SMEs, including increased efficiency, cost savings, and enhanced decision-making. By automating routine tasks such as invoice processing, inventory management, and customer service responses, SMEs can reduce operational costs and increase task completion speed. AI-powered dashboards and predictive analytics provide real-time insights into performance metrics, empowering SMEs to make data-driven decisions swiftly. Additionally, AI-based workflow optimization enhances customer experience through faster response times and consistent service quality. Implementing this system follows a phased approach: initial assessment, pilot testing, full-scale deployment, and ongoing improvement. A pilot phase allows SMEs to validate the system’s efficacy within a controlled environment, gathering feedback to refine processes before broader adoption. Training employees to work with AI-based tools and addressing potential resistance are critical to successful implementation. AI-driven workflow automation is essential for SMEs aiming to grow sustainably. While challenges such as data security, integration with legacy systems, and resistance to change exist, the benefits ranging from increased efficiency to scalability outweigh these limitations. For SMEs, adopting AI-driven systems not only enhances current performance but also builds a foundation for long-term resilience and competitiveness.
Keywords: Artificial Intelligence, Automation System, SMEs
Optimizing FMCG supply chain management with IOT and cloud computing integration
No full textThe fast-moving consumer goods (FMCG). sector faces immense challenges in supply chain management due to fluctuating consumer demands, inventory management complexities, and the need for rapid delivery. This study proposes a model that integrates Internet of Things (IoT). technology with cloud computing to enhance real-time supply chain management in the FMCG industry. By leveraging IoT devices, such as smart sensors and RFID tags, businesses can collect and transmit data on inventory levels, product movement, and environmental conditions, ensuring a high level of visibility and responsiveness across the supply chain. Cloud computing plays a crucial role in this model by providing a centralized platform for data storage, processing, and analytics. This integration enables FMCG companies to access real-time insights and make data-driven decisions, thereby optimizing inventory levels, reducing stockouts, and minimizing waste. Furthermore, the model incorporates advanced analytics and machine learning algorithms to forecast demand accurately and enhance supply chain efficiency. An essential aspect of this study is the investigation of the impact of 5G technology on the efficiency of IoT applications within the FMCG supply chain. The high-speed connectivity and low latency offered by 5G will significantly enhance data transmission rates and reliability, allowing for seamless communication between IoT devices and cloud platforms. This advancement can lead to faster decision-making processes, improved operational efficiency, and enhanced customer satisfaction. The proposed model not only addresses current challenges in FMCG supply chain management but also prepares businesses for future advancements in technology. By embracing IoT and cloud computing integration, along with the potential of 5G, FMCG companies can develop more agile, resilient, and efficient supply chains. In conclusion, this study highlights the transformative potential of IoT and cloud computing in optimizing FMCG supply chain management while identifying future opportunities for leveraging 5G technology to drive further efficiencies.
Keywords: FMCG, Supply Chain Management, IOT, Cloud Computing, Real-Time Data, 5G Technology, Inventory Optimization, Demand Forecasting, Operational Efficiency
The impact of health analytics on reducing healthcare costs in aging populations: A review
Get PDFThis review explores the impact of health analytics on reducing healthcare costs, with a particular focus on aging populations. The integration of data-driven approaches in healthcare has proven effective in optimizing resource allocation, improving care coordination, and enhancing patient outcomes. Predictive analytics plays a critical role in early diagnosis and the management of chronic diseases, leading to cost reductions by preventing hospital readmissions and emergency care. Furthermore, personalized medicine, telehealth, and remote monitoring have contributed to more efficient healthcare delivery by minimizing unnecessary treatments and in-person visits. The review highlights how these innovations not only address the growing healthcare demands of elderly populations but also support long-term sustainability by lowering operational and administrative expenses. Recommendations are provided for policymakers and healthcare providers on how to effectively leverage health analytics to further reduce costs and improve care quality in the future.
Keywords: Health Analytics, Cost Reduction, Aging Populations, Predictive Analytics, Personalized Medicine, Telehealth
Affordable housing and resilient design: Preparing low-income housing for climate change impacts
No full textThis paper presents a comprehensive framework for integrating resilient design principles into affordable housing to prepare low-income housing to withstand the impacts of climate change. The framework emphasizes the need for architectural strategies that enhance flood resistance, energy efficiency, and disaster preparedness, specifically tailored to the unique challenges faced by low-income communities. Through a detailed analysis of resilient design principles and practical examples from successful projects, the paper highlights the significance of resilient housing in promoting sustainability and protecting vulnerable populations. The paper also addresses the challenges in implementing resilient design, including financial, regulatory, and technical barriers. It explores opportunities for advancing these practices through innovative solutions, emerging technologies, and supportive policies. Recommendations are provided for policymakers, architects, and developers, focusing on fostering collaboration and community engagement. Additionally, the paper identifies key areas for future research to further refine and expand the application of resilient design in affordable housing. Ultimately, this work contributes to the ongoing discourse on sustainable housing by proposing actionable strategies to enhance the resilience of affordable housing in the face of climate change.
Keywords: Resilient Design, Affordable Housing, Climate Change Adaptation, Flood Resistance, Energy Efficiency, Sustainable Architectur
Adaptive Learning Models for Diverse Classrooms: Enhancing Educational Equity
No full textThis review paper explores the transformative potential of adaptive learning models in promoting educational equity. Adaptive learning systems leverage advanced algorithms and digital tools to provide personalized instruction tailored to individual student needs, enhancing academic outcomes and fostering greater engagement and confidence. The theoretical foundation of adaptive learning aligns with constructivist and socio-cultural theories, emphasizing the importance of personalized and differentiated instruction. Evidence suggests adaptive learning improves academic performance among diverse and underserved student populations. However, significant barriers to implementation persist, including technological, financial, and pedagogical challenges, as well as ethical considerations related to data privacy and algorithmic fairness. The paper highlights the implications of these findings for educational policy and classroom practice, advocating for equitable access to adaptive learning technologies and comprehensive professional development for educators. The evolution of adaptive learning, driven by advancements in artificial intelligence and machine learning, promises further educational equity and inclusivity advancements.
Keywords: Adaptive Learning, Educational Equity, Personalized Instruction, Digital Tool
Ethical and legal project management framework for the oil and gas industry
No full textThe oil and gas industry operates in a complex and highly regulated environment where ethical considerations and legal compliance are paramount. This paper proposes an Ethical and Legal Project Management Framework specifically designed for the oil and gas sector, aiming to enhance project execution while ensuring adherence to ethical standards and legal requirements. The framework integrates ethical principles with legal obligations, fostering a culture of integrity and accountability within organizations. At its core, the framework emphasizes the identification and assessment of ethical risks throughout the project lifecycle. By incorporating ethical risk management into project planning and execution, organizations can proactively address potential ethical dilemmas, thus minimizing the risk of legal issues and reputational damage. Key components include stakeholder analysis, transparency in decision-making, and mechanisms for reporting unethical behavior. Legal compliance is another critical element of the framework. The oil and gas industry is subject to a myriad of local, national, and international regulations. The framework outlines best practices for ensuring compliance with environmental laws, labor regulations, and health and safety standards. This involves regular legal audits, staff training, and the establishment of compliance protocols to keep pace with evolving legal requirements. Furthermore, the framework highlights the importance of stakeholder engagement in promoting ethical and legal practices. Engaging with local communities, regulatory bodies, and internal stakeholders ensures that diverse perspectives are considered, enhancing decision-making processes and fostering trust. In addition, the integration of technology and data analytics plays a crucial role in supporting ethical and legal project management. By utilizing advanced tools for monitoring compliance and ethical conduct, organizations can enhance transparency and accountability. In conclusion, the Ethical and Legal Project Management Framework serves as a comprehensive guide for oil and gas companies striving to balance project efficiency with ethical integrity and legal compliance. By embedding these principles into their project management practices, organizations can achieve sustainable success in a challenging industry landscape.
Keywords: Ethical Framework, Legal Compliance, Project Management, Oil and Gas Industry, Stakeholder Engagement, Risk Management
Determinants of net value added to produced and processed paddy rice in South East, Nigeria
No full textThe study principally examined the determinants of net value added to produced and processed paddy rice in South east Nigeria It specifically, identified the socio-economic characteristics of the respondents, analyzed the determinants of net value added to produced and processed paddy rice as well as ascertained the constraints to processed and produced paddy rice. Multi-stage sampling technique involving purposive and random sampling methods was used to select 240 respondents. Primary data were collected on rain-fed production season using structured questionnaires administered to the respondents by personal interview. Descriptive statistics,, multiple regression and principal component analysis were used to analyze the data. Results obtained showed that gender distribution of the respondents was 63%males and 38% females. More respondents are between the ages of 41-50 and31-40 respectively and house hold size of 4-6 .Farming experience showed that 136 respondents representing 57% had engaged in the business between 11-20yrs.The results also showed that 67% of the respondents accessed farm credit while 25% did not.66% of the respondents belonged to farmers association while 75% were not visited by extension agents. Variables (age, gender, years in school, household size, years of experience, training/extension visits, costs incurred, value addition technique and market price) significantly influenced the net value added while marital status, membership of cooperative, and access to credit did not. Constraints to paddy producers and processors were accessibility to farm machine, poor infrastructure and scarcity/high cost of labor, low access to credit/grant; low proactive measures to flood and drought control; insufficient knowledge of agro-chemicals, and late provision of essential training and services; and processors: use of outdated rice milling machines, high cost of modern rice processing machines, low access to modern rice processing machineries and low acceptability of local rice. Recommendations include; establishment of farm machinery hiring centers for producers and supply of modern rice milling machines to rice processing clusters, development of dams and irrigable lands, training and re-training on access to fund, utilization of biodegradable wastes from paddy rice, proactive measures of flood and drainage control, adequate use of agro-chemicals, use of modem techniques, and involvement of National Agency for Food and Drug Administration and Control in quality control.
Keywords: Agriculture, Paddy Rice, Value Addition, Nigeria
Enhancing food security through the use of cluster cooperative societies in fish farming enterprises in South-East Nigeria
Get PDFFood security remains a critical issue in Nigeria, particularly in the South-East, where agricultural productivity faces challenges due to limited resources and infrastructure. This study explores the role of cluster cooperative societies in enhancing food security through fish farming enterprises. By pooling resources and creating collaborative frameworks, cooperative societies in the region have the potential to increase fish production, improve market access, and bolster livelihoods. This paper presents the findings from a study conducted among fish farmers in the South-East, evaluating the effectiveness of cooperative societies in addressing food insecurity. The research utilizes a mixed-methods approach, including surveys and interviews, with data analyzed through descriptive and inferential statistics. Results indicate that cooperative societies contribute significantly to fish farming success, with notable improvements in productivity and market linkages. The paper concludes with policy recommendations to support the development of cooperative societies in fish farming to further improve food security in the region.
Keywords: Food Security, Fish Farming, Cluster Cooperative Societies, Market Access