Desktop Research Research Articles

Natural Language Processing (NLP) for Sentiment Analysis in Social Media

Purpose: This study sought to analyze Natural Language Processing (NLP) for sentiment analysis in social media. Methodology: The study adopted a desktop research methodology. Desk research refers to secondary data or that which can be collected without fieldwork. Desk research is basically involved in collecting data from existing resources hence it is often considered a low cost technique as compared to field research, as the main cost is involved in executive’s time, telephone charges and directories. Thus, the study relied on already published studies, reports and statistics. This secondary data was easily accessed through the online journals and library. Findings: The findings reveal that there exists a contextual and methodological gap relating to Natural Language Processing (NLP) for sentiment analysis in social media. Preliminary empirical review revealed that advanced computational techniques significantly advanced the understanding of sentiments across diverse social media platforms. Methodologies such as machine learning algorithms and deep learning models like CNNs and RNNs demonstrated robust capabilities in categorizing sentiments accurately and capturing contextual nuances such as sarcasm and slang. The research highlighted the interdisciplinary nature of NLP applications, integrating linguistics with computer science and social sciences to develop effective frameworks for analyzing large-scale social media data. These findings contributed to enhancing decision-making in marketing, politics, and public opinion research, pointing towards future directions in hybrid NLP models for improved sentiment analysis across different languages and cultural contexts. Unique Contribution to Theory, Practice and Policy: The Social Constructionism, Cognitive Linguistics and Discourse Analysis Theory may be used to anchor future studies on Natural Language Processing (NLP). The recommendations aimed to advance theoretical foundations by exploring deep learning models and nuanced sentiment lexicons. Practical applications were enhanced through the development of scalable NLP tools for real-time data processing and integration into social media platforms. Policy implications focused on establishing ethical guidelines for data privacy and bias mitigation in sentiment analysis algorithms. Cross-disciplinary collaboration fostered innovation by integrating insights from computer science, linguistics, psychology, and social sciences. Education initiatives and international collaborations were prioritized to build capacity and standardize methodologies globally, ensuring advancements in both research and practical deployment of sentiment analysis technologies.

Smart Grid Technologies and Their Role in Sustainable Energy Management

Purpose: The general objective of this study was to analyze smart grid technologies and their role in sustainable energy management. Methodology: The study adopted a desktop research methodology. Desk research refers to secondary data or that which can be collected without fieldwork. Desk research is basically involved in collecting data from existing resources hence it is often considered a low cost technique as compared to field research, as the main cost is involved in executive’s time, telephone charges and directories. Thus, the study relied on already published studies, reports and statistics. This secondary data was easily accessed through the online journals and library. Findings: The findings reveal that there exists a contextual and methodological gap relating to smart grid technologies and their role in sustainable energy management. Preliminary empirical review revealed that smart grid technologies significantly transformed energy management by enhancing sustainability, reliability, and efficiency through advanced metering, real-time analytics, and improved communication networks. These technologies enabled better integration of renewable energy sources, reduced greenhouse gas emissions, and empowered consumers with detailed energy usage information, leading to cost savings and increased energy efficiency. However, challenges such as high implementation costs, infrastructure needs, regulatory hurdles, and cybersecurity risks were identified. The study highlighted the importance of continued research, supportive policies, and public engagement to optimize smart grid deployment and achieve a more sustainable energy system. Unique Contribution to Theory, Practice and Policy: The Diffusions of Innovations Theory, Socio- Technical Systems Theory and Actor- Network Theory may be used to anchor future studies on smart grid technologies. The study recommended adopting a multidisciplinary approach to smart grid research, enhancing interoperability through standardized protocols, and investing in workforce training. It emphasized supportive regulatory frameworks, including incentives and dynamic pricing models, to promote smart grid adoption. Public awareness and engagement were deemed crucial, suggesting educational campaigns to increase consumer participation. The study highlighted the importance of international collaboration for knowledge sharing and called for continuous investment in research and development to drive technological advancements and ensure the sustainability and efficiency of smart grid systems.

Internet of Things (IoT) for Environmental Monitoring

Purpose: The general objective of this study was to explore the Internet of Things for environmental monitoring. Methodology: The study adopted a desktop research methodology. Desk research refers to secondary data or that which can be collected without fieldwork. Desk research is basically involved in collecting data from existing resources hence it is often considered a low cost technique as compared to field research, as the main cost is involved in executive’s time, telephone charges and directories. Thus, the study relied on already published studies, reports and statistics. This secondary data was easily accessed through the online journals and library. Findings: The findings reveal that there exists a contextual and methodological gap relating to the Internet of Things for environmental monitoring. Preliminary empirical review revealed that IoT technologies have significantly enhanced environmental management practices by revolutionizing data collection and analysis across various ecosystems. By integrating IoT sensors with existing monitoring frameworks, real-time data on air and water quality, agriculture, wildlife habitats, and urban green spaces was efficiently gathered. This data facilitated proactive decision-making, early detection of environmental risks, and evidence-based policy formulation to address climate change, biodiversity conservation, and sustainable resource management challenges. Despite challenges like data security and interoperability, collaborative efforts among stakeholders paved the way for more effective environmental monitoring and sustainable development initiatives globally. Unique Contribution to Theory, Practice and Policy: The Complex Adaptive Systems Theory, Diffusion of Innovations Theory and Resource Dependence Theory may be used to anchor future studies on the Internet of Things technology. The study provided several recommendations that contributed significantly to theory, practice, and policy in environmental management. The study emphasized interdisciplinary approaches to enhance theoretical frameworks, advocating for advanced models and algorithms integrating IoT with environmental science and data analytics. In practice, it recommended widespread adoption of IoT-enabled sensor networks with enhanced capabilities for precise and reliable data collection. Policy-wise, the study called for regulatory frameworks supporting IoT integration, data standards, and international cooperation to address global environmental challenges collaboratively. Capacity building and continuous research and development were also highlighted to optimize IoT technologies for sustainable environmental monitoring and management globally.

The Role of Knowledge Brokers in Facilitating Knowledge Transfer within and between Organizations

Purpose: The general objective of the study was to investigate the role of knowledge brokers in facilitating knowledge transfer within and between organizations. Methodology: The study adopted a desktop research methodology. Desk research refers to secondary data or that which can be collected without fieldwork. Desk research is basically involved in collecting data from existing resources hence it is often considered a low cost technique as compared to field research, as the main cost is involved in executive’s time, telephone charges and directories. Thus, the study relied on already published studies, reports and statistics. This secondary data was easily accessed through the online journals and library. Findings: The findings reveal that there exists a contextual and methodological gap relating to the role of knowledge brokers in facilitating knowledge transfer within and between organizations. Preliminary empirical review revealed that knowledge brokers played a crucial role in facilitating knowledge transfer within and between organizations by acting as intermediaries between knowledge creators and users. They effectively bridged gaps, built networks of trust, translated complex information into accessible formats, and provided tailored support to various stakeholders. Their efforts enhanced the accessibility, relevance, and application of knowledge, fostering a culture of continuous learning and innovation. Additionally, knowledge brokers contributed to the broader diffusion of innovations and best practices, promoting systemic improvements and a more interconnected knowledge ecosystem. Unique Contribution to Theory, Practice and Policy: The study recommended enhancing theoretical frameworks to explicitly include knowledge brokers, formally recognizing and supporting their roles within organizations through training and development, and creating policies that incentivize their integration into public and private sectors. It also suggested developing interdisciplinary networks for collaboration, implementing robust evaluation mechanisms to assess the impact of knowledge brokers, and ensuring long-term sustainability through ongoing funding and institutional support. These measures aimed to optimize the impact of knowledge brokers in driving innovation, improving performance, and facilitating effective knowledge transfer within and between organizations.

Machine Learning Models for Predictive Maintenance in Industrial Engineering

Purpose: The general objective of this study was to investigate machine learning models for predictive maintenance in industrial engineering. Methodology: The study adopted a desktop research methodology. Desk research refers to secondary data or that which can be collected without fieldwork. Desk research is basically involved in collecting data from existing resources hence it is often considered a low cost technique as compared to field research, as the main cost is involved in executive’s time, telephone charges and directories. Thus, the study relied on already published studies, reports and statistics. This secondary data was easily accessed through the online journals and library.Findings: The findings reveal that there exists a contextual and methodological gap relating to machine learning models for predictive maintenance in industrial engineering. The research highlighted the transformative potential of machine learning models in optimizing predictive maintenance for industrial engineering, demonstrating significant reductions in unplanned downtime and maintenance costs. It identified the strengths of various machine learning approaches, such as supervised, unsupervised, and reinforcement learning, in predicting equipment failures and optimizing maintenance schedules. Despite the benefits, challenges such as data quality, integration complexity, and the need for specialized skills were noted. Future advancements in machine learning, IoT data, and computational power were expected to further enhance predictive maintenance systems, making them more accurate, efficient, and widely adopted across industries.Unique Contribution to Theory, Practice and Policy: The Systems Theory, Diffusion of Innovations Theory and Resource-Based View (RBV) Theory may be used to anchor future studies on machine learning models for predictive maintenance in industrial engineering. This study provided several recommendations that contributed to theory, practice, and policy. It emphasized the development of hybrid machine learning models, integration of domain-specific knowledge, and real-time data collection using IoT technologies. It suggested standardized data protocols and personnel training for better implementation and efficiency. Policy recommendations included regulatory frameworks, incentives for technology adoption, data sharing, and robust data privacy guidelines. These contributions aimed to enhance the accuracy and applicability of predictive maintenance models, improve industrial maintenance practices, and support technological innovation through supportive policies.

Blockchain Technology for Secure and Transparent Supply Chain Management

Purpose: The general objective of the study was to explore blockchain technology for secure and transparent supply chain management. Methodology: The study adopted a desktop research methodology. Desk research refers to secondary data or that which can be collected without fieldwork. Desk research is basically involved in collecting data from existing resources hence it is often considered a low cost technique as compared to field research, as the main cost is involved in executive’s time, telephone charges and directories. Thus, the study relied on already published studies, reports and statistics. This secondary data was easily accessed through the online journals and library. Findings: The findings reveal that there exists a contextual and methodological gap relating to blockchain technology for secure and transparent supply chain management. Preliminary empirical review revealed that blockchain technology had the potential to transform supply chain management by enhancing security and transparency. It emphasized the benefits of decentralization, immutability, and real-time visibility, which could reduce fraud and improve traceability. However, the study also highlighted challenges such as scalability, interoperability, and regulatory hurdles, which needed to be addressed for widespread adoption. Ultimately, the study suggested that companies investing in blockchain could gain a competitive advantage through increased efficiency and consumer trust, positioning blockchain as a crucial future component in supply chain management. Unique Contribution to Theory, Practice and Policy: Transaction Cost Theory, Social Exchange Theory and Resource-Based View (RBV) Theory may be used to anchor future studies on blockchain technology. The study made significant contributions to theory, practice, and policy. It integrated blockchain into existing supply chain theories, highlighting its role in reducing transaction costs and fostering trust. Practically, it recommended businesses invest in blockchain for enhanced transparency and efficiency, and leverage smart contracts to automate processes. It emphasized the need for supportive regulatory frameworks and addressed legal and ethical implications. The study advised a phased implementation approach and stakeholder collaboration, and suggested future research explore blockchain's long-term impacts and integration with IoT and AI. It underscored the broader implications for global trade and economic development.

Impact of Monetary Policy on Stock Market Volatility

Purpose: The general objective of the study was to analyze the impact of monetary policy on stock market volatility. Methodology: The study adopted a desktop research methodology. Desk research refers to secondary data or that which can be collected without fieldwork. Desk research is basically involved in collecting data from existing resources hence it is often considered a low cost technique as compared to field research, as the main cost is involved in executive’s time, telephone charges and directories. Thus, the study relied on already published studies, reports and statistics. This secondary data was easily accessed through the online journals and library. Findings: The findings reveal that there exists a contextual and methodological gap relating to the impact of monetary policy on stock market volatility. Preliminary empirical review revealed that monetary policy exerts significant influence on stock market volatility through various channels such as interest rate adjustments, quantitative easing, and forward guidance. It highlighted that the timing and clarity of policy announcements play a crucial role in shaping market reactions, with unexpected shifts often leading to heightened volatility. Global interconnectedness amplified these effects, underscoring the need for coordinated policy responses. Behavioral factors also contributed, as investor sentiment and market psychology could magnify volatility independently of economic fundamentals. Understanding these dynamics is crucial for effective policy design and market stability amidst evolving financial landscapes. Unique Contribution to Theory, Practice and Policy: Efficient Market Hypothesis (EMH, Rational Expectations Theory and Keynesian Economics may be used to anchor future studies on monetary policy on stock market volatility. Recommendations from the study included integrating behavioral finance models into economic frameworks to enhance predictive accuracy. It advocated for clearer and more consistent central bank communications to align market expectations with policy actions, reducing uncertainty-driven volatility. Collaborative efforts among central banks were emphasized to manage international spillovers and enhance global financial stability. Adaptive policy frameworks were proposed to respond flexibly to changing market conditions while promoting regulatory measures to safeguard against excessive risk-taking. These recommendations aimed to foster a stable financial environment supportive of sustainable economic growth and market confidence.

The Effect of Macroprudential Policies on Financial Stability

Purpose: The general objective of the study was to investigate the effect of macroprudential policies on financial stability. Methodology: The study adopted a desktop research methodology. Desk research refers to secondary data or that which can be collected without fieldwork. Desk research is basically involved in collecting data from existing resources hence it is often considered a low cost technique as compared to field research, as the main cost is involved in executive’s time, telephone charges and directories. Thus, the study relied on already published studies, reports and statistics. This secondary data was easily accessed through the online journals and library. Findings: The findings reveal that there exists a contextual and methodological gap relating to the effect of macroprudential policies on financial stability. Preliminary empirical review revealed that macroprudential policies were crucial in mitigating systemic risk and enhancing financial stability. It found that tailored approaches, considering specific economic conditions, were necessary for these policies to be effective. Coordination with other regulatory measures and continuous adaptation to evolving financial landscapes were also essential. The research highlighted the importance of robust regulatory institutions and effective enforcement mechanisms, particularly in emerging markets, to address challenges such as regulatory capture and limited institutional capacity. Overall, the study emphasized the need for a dynamic and adaptable macroprudential regulatory framework to maintain a stable and resilient financial system. Unique Contribution to Theory, Practice and Policy: The Financial Stability Hypothesis, Regulatory Capture Theory and Agency Theory may be used to anchor future studies on macroprudential policies on financial stability. The study recommended adopting a comprehensive macroprudential regulatory framework that integrated various tools to address systemic risk. It suggested enhancing theoretical models to understand the dynamic effects of these tools and their combined impact. Practical recommendations included building strong regulatory institutions, improving data collection, and enhancing international cooperation and information sharing. Policy recommendations emphasized clear and transparent frameworks, regular policy reviews, and considering potential unintended consequences. Engaging with stakeholders to address concerns and ensure balanced regulation was also advised to support sustainable economic growth while maintaining financial stability.

Cryptocurrency and Its Role in Portfolio Diversification

Purpose: This study sought to explore cryptocurrency and its role in portfolio diversification. Methodology: The study adopted a desktop research methodology. Desk research refers to secondary data or that which can be collected without fieldwork. Desk research is basically involved in collecting data from existing resources hence it is often considered a low cost technique as compared to field research, as the main cost is involved in executive’s time, telephone charges and directories. Thus, the study relied on already published studies, reports and statistics. This secondary data was easily accessed through the online journals and library. Findings: The findings reveal that there exists a contextual and methodological gap relating to cryptocurrency and its role in portfolio diversification. Preliminary empirical review revealed that incorporating cryptocurrencies into investment portfolios offered promising diversification benefits due to their low correlation with traditional assets, despite their high volatility and regulatory uncertainties. It highlighted the significant risk management challenges posed by cryptocurrencies' extreme price fluctuations and the evolving regulatory landscape. The study emphasized the importance of careful, limited allocation to cryptocurrencies, robust risk management practices, and continuous market monitoring. Ultimately, it suggested that cryptocurrencies could enhance portfolio performance when strategically used alongside traditional diversification methods. Unique Contribution to Theory, Practice and Policy: The Modern Portfolio Theory, Efficient Market Hypothesis and Behavioural Finance Theory may be used to anchor future studies on portfolio diversification. The study recommended a cautious yet strategic inclusion of cryptocurrencies in investment portfolios to enhance diversification, emphasizing the importance of ongoing research, robust risk management, and proactive monitoring due to their high volatility and regulatory uncertainties. It called for clear and consistent regulatory frameworks to protect investors while fostering market growth, and highlighted the need for collaboration between academia, industry, and regulatory bodies to improve financial literacy and market stability. These recommendations aimed to contribute to theoretical, practical, and policy aspects of cryptocurrency investments.

The Impact of Fintech Innovations on Traditional Banking Systems

Purpose: This study sought to explore the impact of fintech innovations on traditional banking systems. Methodology: The study adopted a desktop research methodology. Desk research refers to secondary data or that which can be collected without fieldwork. Desk research is basically involved in collecting data from existing resources hence it is often considered a low cost technique as compared to field research, as the main cost is involved in executive’s time, telephone charges and directories. Thus, the study relied on already published studies, reports and statistics. This secondary data was easily accessed through the online journals and library. Findings: The findings reveal that there exists a contextual and methodological gap relating to the impact of fintech innovations on traditional banking systems. Preliminary empirical review revealed that fintech innovations had significantly transformed the financial industry, presenting both opportunities and challenges for traditional banking systems. It revealed that while fintech solutions enhanced operational efficiencies and customer satisfaction, traditional banks needed to adopt strategic planning and agile adaptation to maintain their competitiveness. The study highlighted the importance of collaboration between fintech firms and traditional banks, emphasizing the need for a balanced regulatory approach to foster innovation while ensuring financial stability. Unique Contribution to Theory, Practice and Policy: The Disruptive Innovation Theory, Diffusion of Innovations Theory and the Resource Based View Theory may be used to anchor future studies on fintech innovations on traditional banking systems. The study recommended that traditional banks embrace digital transformation by investing in technology infrastructure, fostering innovation, and upskilling employees. It suggested forming strategic partnerships with fintech firms to leverage technological advancements and enhance competitiveness. The study also advised policymakers to update regulatory frameworks to support innovation and maintain financial stability, while promoting financial literacy and inclusion. Lastly, it called for continuous dialogue and collaboration among all stakeholders to address challenges and seize opportunities presented by fintech innovations.

Behavioral Finance: Investor Psychology and Market Outcomes

Purpose: The general objective of the study was to explore how psychological factors and cognitive biases influence investor decisions and market dynamics. Methodology: The study adopted a desktop research methodology. Desk research refers to secondary data or that which can be collected without fieldwork. Desk research is basically involved in collecting data from existing resources hence it is often considered a low cost technique as compared to field research, as the main cost is involved in executive’s time, telephone charges and directories. Thus, the study relied on already published studies, reports and statistics. This secondary data was easily accessed through the online journals and library. Findings: The findings reveal that there exists a contextual and methodological gap relating to investor psychology and market outcomes. Preliminary empirical review revealed that psychological factors such as cognitive biases and investor sentiment significantly impacted financial decision-making and market dynamics, leading to anomalies like market bubbles and volatility. It highlighted the need for integrating behavioral insights into financial models to better predict and understand market behavior, emphasizing the importance of financial literacy in mitigating adverse effects of these biases. Unique Contribution to Theory, Practice and Policy: The Prospect Theory, Herding Theory and Efficient Market Hypothesis (EMH) may be used to anchor future studies on behavioural finance. The study recommended further development of behavioral finance models to incorporate psychological factors, and for financial institutions to integrate behavioral insights into their services to guide better investment decisions. It also advised policymakers to design regulations enhancing market transparency and protecting investors from biases, while promoting financial literacy and implementing measures to monitor and mitigate systemic risks from irrational behavior.

Environmental Ethics and the Philosophy of Sustainability

Purpose: The general objective of this study was to explore environmental ethics and the philosophy of sustainability. Methodology: The study adopted a desktop research methodology. Desk research refers to secondary data or that which can be collected without fieldwork. Desk research is basically involved in collecting data from existing resources hence it is often considered a low cost technique as compared to field research, as the main cost is involved in executive’s time, telephone charges and directories. Thus, the study relied on already published studies, reports and statistics. This secondary data was easily accessed through the online journals and library. Findings: The findings reveal that there exists a contextual and methodological gap relating to environmental ethics and the philosophy of sustainability. Preliminary empirical review revealed that integrating ethical principles into sustainability practices was essential for achieving long-term ecological balance and social justice. It found that environmental ethics provided a necessary moral framework, encouraging proactive environmental protection and fostering sustainable behaviors through education. However, the study also identified gaps in current practices, noting that many policies still prioritized short-term economic gains over ecological health. The research emphasized the importance of bridging these gaps by developing comprehensive frameworks that blend ethical principles with practical sustainability strategies, ultimately underscoring the critical role of environmental ethics in realizing the philosophy of sustainability. Unique Contribution to Theory, Practice and Policy: The Deep Ecology Theory, The Land Ethic and Social Ecology Theory may be used to anchor future studies on the philosophy of sustainability. The study highlighted the need for an integrated theoretical model combining ethical principles with sustainability practices, and suggested incorporating diverse philosophical perspectives. It emphasized embedding environmental ethics into organizational cultures and education curricula to foster sustainable practices and behaviors. The study also advocated for integrating ethical dimensions into policy frameworks and adopting the precautionary principle in environmental policymaking to safeguard against unforeseen impacts. These recommendations aimed to advance theoretical discourse, guide practical sustainability efforts, and inform robust, equitable environmental policies.

The Role of Philosophy in Addressing Climate Change

Purpose: The general objective of this study was to investigate the role of philosophy in addressing climate change. Methodology: The study adopted a desktop research methodology. Desk research refers to secondary data or that which can be collected without fieldwork. Desk research is basically involved in collecting data from existing resources hence it is often considered a low cost technique as compared to field research, as the main cost is involved in executive’s time, telephone charges and directories. Thus, the study relied on already published studies, reports and statistics. This secondary data was easily accessed through the online journals and library. Findings: The findings reveal that there exists a contextual and methodological gap relating to philosophy in addressing climate change. The study underscored the indispensable role of philosophy in combating climate change by examining its ethical, epistemological, and socio-political dimensions. It highlighted the importance of ethical theories like utilitarianism and intergenerational justice in ensuring climate policies are just and equitable. The study emphasized epistemic justice, advocating for the inclusion of marginalized perspectives to create more inclusive climate policies. It also revealed the interconnectedness of environmental and social justice, calling for holistic climate strategies that address social inequalities. Overall, the study demonstrated that integrating philosophical insights into climate action fosters a more ethical, effective, and sustainable response to the climate crisis. Unique Contribution to Theory, Practice and Policy: The Utilitarianism, Intergenerational Justice and Epistemic Justice Theory may be used to anchor future studies on the role of philosophy in addressing climate change. The study recommended incorporating a broader range of philosophical theories into climate change research, integrating ethical considerations systematically into climate action plans, and adopting ethically informed policies that prioritize justice, equity, and sustainability. It emphasized the need for ethical leadership, promoting epistemic justice by including marginalized communities in climate discourse, and fostering global cooperation through international ethical standards and strengthened partnerships. These recommendations aimed to create more comprehensive, inclusive, and effective responses to climate change.

Philosophical Perspectives on International Aid and Development

Purpose: The general objective of this study was to explore the philosophical perspectives on international aid and development. Methodology: The study adopted a desktop research methodology. Desk research refers to secondary data or that which can be collected without fieldwork. Desk research is basically involved in collecting data from existing resources hence it is often considered a low cost technique as compared to field research, as the main cost is involved in executive’s time, telephone charges and directories. Thus, the study relied on already published studies, reports and statistics. This secondary data was easily accessed through the online journals and library. Findings: The findings reveal that there exists a contextual and methodological gap relating to the philosophical perspectives on international aid and development. Preliminary empirical review revealed that international aid is a moral obligation based on justice and equity, rather than optional generosity. It critiqued the effectiveness and motives of aid distribution, emphasizing the need for strategic approaches that empower recipients and address root causes of poverty. The study highlighted the importance of aligning aid with social justice and human rights, advocating for development that integrates economic, social, and political dimensions. It also called for reevaluating power dynamics in aid relationships, promoting egalitarian partnerships based on mutual respect and shared goals. Unique Contribution to Theory, Practice and Policy: Utilitarianism, Deontology and Postcolonial Theory may be used to anchor future studies on the philosophical perspectives on international aid and development. The study recommended that theoretical models of international development incorporate ethical principles such as justice, equity, and human rights, shifting from a purely economic focus to a more inclusive approach. Practitioners were encouraged to engage in continuous ethical reflection, build genuine partnerships with local communities, and prioritize capacity-building initiatives. For policymakers, the study advocated for integrating ethical considerations into development policies, adopting a rights-based approach, and promoting sustainable practices. These recommendations contributed to theoretical discourses by challenging traditional paradigms, provided practical guidelines for more effective interventions, and offered a roadmap for creating ethical and sustainable development policies.

The Role of Virtue Ethics in Modern Moral Dilemmas

Purpose: The study sought to investigate how virtue ethics can be applied to contemporary ethical issues and comparing its implementation across different cultural contexts. Methodology: The study adopted a desktop research methodology. Desk research refers to secondary data or that which can be collected without fieldwork. Desk research is basically involved in collecting data from existing resources hence it is often considered a low cost technique as compared to field research, as the main cost is involved in executive’s time, telephone charges and directories. Thus, the study relied on already published studies, reports and statistics. This secondary data was easily accessed through the online journals and library. Findings: The findings reveal that there exists a contextual and methodological gap relating to the role of virtue ethics in modern moral dilemmas. Preliminary empirical review revealed that virtue ethics provided a robust framework for addressing modern moral dilemmas by focusing on the development of moral character and the habitual practice of virtues like honesty, courage, and compassion. It emphasized that virtues guide not only actions but also motivations, enabling consistent ethical behavior. The study highlighted the importance of community and social context in nurturing virtues, suggesting that supportive environments are crucial for ethical decision-making in various settings, such as healthcare and corporate governance. Ultimately, virtue ethics was found to promote ethical resilience and adaptability, making it a valuable approach for resolving contemporary ethical challenges and fostering a more just and sustainable world. Unique Contribution to Theory, Practice and Policy: Aristotle's Virtue Ethics, Alasdair MacIntyre's Neo-Aristotelian Virtue Ethics and Philippa Foot's Natural Goodness may be used to anchor future studies on virtue ethics and modern moral dilemmas. The study recommended expanding the theoretical foundations of virtue ethics to include contemporary issues, integrating virtue ethics into professional and personal domains, and incorporating it into public policy frameworks. It emphasized the need for educational institutions to promote character development and suggested community programs to nurture virtues. Additionally, the study highlighted the importance of continuous research and interdisciplinary dialogue to keep virtue ethics relevant in addressing modern moral dilemmas. These recommendations aimed to enhance theoretical insights, improve practical applications, and create policies that foster an ethically conscious society.

The Impact of Globalization on Cultural Identity

Purpose: The general objective of the study was to investigate the impact of globalization on cultural identity. Methodology: The study adopted a desktop research methodology. Desk research refers to secondary data or that which can be collected without fieldwork. Desk research is basically involved in collecting data from existing resources hence it is often considered a low cost technique as compared to field research, as the main cost is involved in executive’s time, telephone charges and directories. Thus, the study relied on already published studies, reports and statistics. This secondary data was easily accessed through the online journals and library. Findings: The findings reveal that there exists a contextual and methodological gap relating to the impact of globalization on cultural identity. Preliminary empirical review revealed that globalization had a profound impact on cultural identity, reshaping perceptions and facilitating cultural exchange, which enriched local cultures but also challenged traditional norms. This led to the emergence of hybrid cultural forms, blending local and global elements, while also posing threats of cultural homogenization and the erosion of unique identities due to the dominance of global media and consumer culture. Efforts to preserve local traditions and promote cultural resilience were deemed crucial, including the adoption of supportive cultural policies and educational programs that emphasized cultural diversity and heritage. Unique Contribution to Theory, Practice and Policy: The Cultural Hybridization Theory, Cultural Homogenization Theory and World-System Theory may be used to anchor future studies on globalization and cultural identity. The study on the impact of globalization on cultural identity recommended advancing theoretical frameworks to better understand cultural interactions, implementing cultural education and awareness programs, and developing policies to protect and promote cultural diversity. It highlighted the need for legal protections for cultural rights, community engagement in cultural initiatives, and continuous research and monitoring of globalization’s effects on cultural identity. These recommendations aimed to enhance cultural preservation, support cultural expression, and ensure the resilience and sustainability of diverse cultural identities in a globalized world.

Phenomenology and the Concept of Consciousness

Purpose: The general objective of the study was to explore phenomenology and the concept of consciousness. Methodology: The study adopted a desktop research methodology. Desk research refers to secondary data or that which can be collected without fieldwork. Desk research is basically involved in collecting data from existing resources hence it is often considered a low cost technique as compared to field research, as the main cost is involved in executive’s time, telephone charges and directories. Thus, the study relied on already published studies, reports and statistics. This secondary data was easily accessed through the online journals and library. Findings: The findings reveal that there exists a contextual and methodological gap relating to phenomenology and the concept of consciousness. Preliminary empirical review revealed a complex relationship between subjective experience and cognitive and neural mechanisms. It demonstrated that phenomenology, focusing on first-person perspectives and intentionality, offers a robust framework for understanding consciousness as an active, embodied engagement with the world. The integration of phenomenological insights with cognitive science and neuroscience provided a comprehensive view, correlating subjective reports with neural activity. This approach proved valuable in clinical settings, enhancing mental health interventions by focusing on individual experiences. The study highlighted the promise of ongoing interdisciplinary research to advance both scientific and philosophical understandings of consciousness. Unique Contribution to Theory, Practice and Policy: The Theory of Intentionality, Embodies Cognition Theory and Global Workspace Theory may be used to anchor future studies on phenomenology and the concept of consciousness. The study recommended further development of theoretical frameworks integrating phenomenology with cognitive neuroscience, emphasizing the need for interdisciplinary research collaborations. It suggested incorporating phenomenological approaches into mental health practices to enhance patient-centered care and advocated for training healthcare professionals in these methods. The study also advised policymakers to integrate phenomenological findings into mental health policies and prioritize funding for programs that recognize subjective experiences. Lastly, it highlighted the need for future research to explore long-term effects, cultural factors, and new neuroimaging techniques to advance the understanding of consciousness.

The Impact of Existentialism on Contemporary Mental Health Practices

Purpose: The general objective of this study was to explore the impact of existentialism on contemporary mental health practices. Methodology: The study adopted a desktop research methodology. Desk research refers to secondary data or that which can be collected without fieldwork. Desk research is basically involved in collecting data from existing resources hence it is often considered a low cost technique as compared to field research, as the main cost is involved in executive’s time, telephone charges and directories. Thus, the study relied on already published studies, reports and statistics. This secondary data was easily accessed through the online journals and library. Findings: The findings reveal that there exists a contextual and methodological gap relating to the impact of existentialism on contemporary mental health practices. Preliminary empirical review revealed that integrating existential principles into contemporary mental health practices significantly enhanced psychological well-being by fostering self-awareness, personal growth, and the ability to cope with existential anxieties. It demonstrated that existential therapies offered a more holistic and personalized approach to mental health care, addressing both symptomatic relief and underlying existential concerns. Additionally, the study highlighted the importance of cultural sensitivity, emphasizing that culturally adapted existential therapies were more effective and accessible across diverse cultural contexts, thereby improving mental health outcomes globally. Unique Contribution to Theory, Practice and Policy: The Existential Theory, Humanistic Theory and Cognitive Behavioural Theory may be used to anchor future studies on the impact of existentialism on contemporary mental health practices. The study recommended integrating existential principles into psychological theories, training mental health professionals in existential therapeutic approaches, and developing culturally adapted versions of these therapies. It emphasized the need for mental health policies to recognize the importance of existential concerns and support the inclusion of existential therapies in standard care. The study also suggested revising mental health education curricula to incorporate existential psychology, providing continuing education for current practitioners, and increasing public awareness to destigmatize existential issues. These steps aim to enhance theoretical frameworks, clinical practices, and policy development in mental health care.

The Philosophy of Technology and Its Impact on Human Values

Purpose: The general objective of this study was to explore the impact of existentialism on contemporary mental health practices. Methodology: The study adopted a desktop research methodology. Desk research refers to secondary data or that which can be collected without fieldwork. Desk research is basically involved in collecting data from existing resources hence it is often considered a low cost technique as compared to field research, as the main cost is involved in executive’s time, telephone charges and directories. Thus, the study relied on already published studies, reports and statistics. This secondary data was easily accessed through the online journals and library. Findings: The findings reveal that there exists a contextual and methodological gap relating to the impact of existentialism on contemporary mental health practices. Preliminary empirical review revealed that integrating existential principles into contemporary mental health practices significantly enhanced psychological well-being by fostering self-awareness, personal growth, and the ability to cope with existential anxieties. It demonstrated that existential therapies offered a more holistic and personalized approach to mental health care, addressing both symptomatic relief and underlying existential concerns. Additionally, the study highlighted the importance of cultural sensitivity, emphasizing that culturally adapted existential therapies were more effective and accessible across diverse cultural contexts, thereby improving mental health outcomes globally. Unique Contribution to Theory, Practice and Policy: The Existential Theory, Humanistic Theory and Cognitive Behavioural Theory may be used to anchor future studies on the impact of existentialism on contemporary mental health practices. The study recommended integrating existential principles into psychological theories, training mental health professionals in existential therapeutic approaches, and developing culturally adapted versions of these therapies. It emphasized the need for mental health policies to recognize the importance of existential concerns and support the inclusion of existential therapies in standard care. The study also suggested revising mental health education curricula to incorporate existential psychology, providing continuing education for current practitioners, and increasing public awareness to destigmatize existential issues. These steps aim to enhance theoretical frameworks, clinical practices, and policy development in mental health care.

The Role of Aesthetics in Shaping Cultural Narratives

Purpose: The general objective of this study was to explore the role of aesthetics in shaping cultural narratives. Methodology: The study adopted a desktop research methodology. Desk research refers to secondary data or that which can be collected without fieldwork. Desk research is basically involved in collecting data from existing resources hence it is often considered a low cost technique as compared to field research, as the main cost is involved in executive’s time, telephone charges and directories. Thus, the study relied on already published studies, reports and statistics. This secondary data was easily accessed through the online journals and library. Findings: The findings reveal that there exists a contextual and methodological gap relating to the role of aesthetics in shaping cultural narratives. Preliminary empirical review revealed that aesthetics significantly influence the formation and perpetuation of cultural narratives across various forms of artistic and cultural expressions. It highlighted how traditional and contemporary aesthetic forms both preserve historical cultural heritage and adapt to societal changes, emphasizing the role of digital aesthetics in modern cultural dynamics. The research underscored the importance of diverse representations to challenge dominant narratives and promote inclusivity. It also emphasized the implications for artists, cultural theorists, educators, and policymakers in recognizing and utilizing the transformative potential of aesthetics in shaping cultural narratives. Unique Contribution to Theory, Practice and Policy: The Semiotics Theory, Social Constructionism and Cultural Hegemony may be used to anchor future studies on the role of aesthetics in shaping cultural narratives. The study recommended expanding theoretical frameworks by integrating interdisciplinary approaches to better understand the role of aesthetics in shaping cultural narratives. Practically, it urged artists and cultural practitioners to critically engage with the cultural symbols in their work, and for educators to incorporate aesthetics and cultural narrative analysis into their curricula. Policy-wise, it emphasized the need for inclusive cultural policies that promote diversity, support digital literacy, and encourage collaboration among stakeholders to create initiatives that celebrate diverse aesthetic expressions.