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    1902 research outputs found

    REVIEW OF IT INNOVATIONS, DATA ANALYTICS, AND GOVERNANCE IN NIGERIAN ENTERPRISES

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    This scholarly investigation delves into the evolving realm of Information Technology (IT) innovations and data analytics within Nigerian enterprises, focusing on their transformative impact, governance challenges, and the strategic implications for business practices. Set against the backdrop of Nigeria's dynamic economic landscape, the study aims to unravel the complexities and potential of IT and data analytics in reshaping the country's business environment. The research adopts a review approach to study traverse various domains, including the historical evolution of IT, the transformative role of data analytics in decision-making, governance hurdles in the IT sector, and compliance issues within Nigerian IT practices. The findings reveal a significant IT and data analytics evolution, marked by increased adoption and integration into business operations. However, challenges such as infrastructural inadequacies, skill gaps, and regulatory complexities emerge as significant barriers. The study concludes that for Nigerian enterprises to fully leverage IT innovations, a robust governance framework, strategic alignment of IT practices, and investment in technology and skills development are imperative. Recommendations include fostering a culture of innovation, adaptability, and compliance to navigate the digital landscape effectively. The study serves as a comprehensive guide for businesses, policymakers, and stakeholders in the Nigerian IT sector, offering insights for leveraging IT innovations for sustainable growth and development. Keywords: IT Innovations, Data Analytics, Nigerian Enterprises, Governance Challenges, Strategic Implications, Digital Transformation

    A REVIEW OF CYBERSECURITY STRATEGIES IN MODERN ORGANIZATIONS: EXAMINING THE EVOLUTION AND EFFECTIVENESS OF CYBERSECURITY MEASURES FOR DATA PROTECTION

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    In an era where digital threats are increasingly pervasive, understanding the evolution and efficacy of cybersecurity strategies in modern organizations is paramount. This study provides a comprehensive analysis of the dynamic landscape of cybersecurity, exploring its progression from traditional methods to innovative, technology-driven approaches. The digital age has ushered in complex cyber threats, necessitating robust cybersecurity measures. This study examines cybersecurity strategies' historical development, current trends, and future directions across different organizational contexts and industries. The primary aim is to assess the evolution and effectiveness of cybersecurity measures, identify existing gaps, and understand the interplay between human behavior, technology, and policy in cybersecurity. The paper encompasses a comprehensive methodological framework for cybersecurity analysis, exploring the effectiveness of traditional versus modern approaches, the role of AI and ML, and the impact of international policies. It also presents case studies to illustrate successes and failures in cybersecurity implementation. Key findings reveal a significant shift towards advanced technologies like AI and ML in cybersecurity, the critical role of human factors in shaping cybersecurity outcomes, and the influence of international policies in standardizing cybersecurity practices. The study concludes that effective cybersecurity strategies require a balanced approach, combining technological advancements with understanding human factors and adherence to international standards. Recommendations include continuous education and training, adopting holistic cybersecurity strategies, and aligning with international policies. Keywords: Cybersecurity, Artificial Intelligence, Machine Learning, International Policies, Human Factors, Cyber Threats

    A REVIEW OF SMART GREEN BUILDING TECHNOLOGIES: INVESTIGATING THE INTEGRATION AND IMPACT OF AI AND IOT IN SUSTAINABLE BUILDING DESIGNS

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    This scholarly paper delves into the dynamic realm of smart green building technologies, focusing on the integration and impact of Artificial Intelligence (AI) and the Internet of Things (IoT) within the sphere of sustainable architecture. The study is anchored in the background of evolving green building principles, underscored by the burgeoning rise of smart technologies that are reshaping modern architectural practices. Aimed at comprehensively understanding the transformative role of AI and IoT in enhancing building performance and sustainability, the paper adopts a ethodological approach centered on an extensive literature review and qualitative analysis. It meticulously examines the synergy between AI and IoT, their implementation challenges, environmental and social impacts, and the economic implications of investing in such technologies.The main findings reveal that the integration of AI and IoT significantly elevates energy efficiency, optimizes building performance, and contributes to environmental sustainability. The study highlights innovative IoT solutions in building management, demonstrating their effectiveness in creating more efficient and sustainable living spaces. However, it also identifies barriers to the adoption of these technologies, including economic constraints and the need for skilled professionals.Conclusively, the paper recommends a multi-faceted approach to overcome these challenges, emphasizing policy interventions, educational initiatives, and the development of cost-effective green building technologies. The study underscores the need for collaborative efforts from various stakeholders to advance sustainable architecture and building management.This paper provides a comprehensive exploration of the integration of AI and IoT in sustainable building designs, offering insights into their potential to revolutionize the construction industry and pave the way for sustainable urban development. Keywords: Smart Green Building Technologies, Artificial Intelligence, Internet of Things, Sustainable Architecture, Energy Efficiency, Building Performance

    MENTAL HEALTH AND DIGITAL TECHNOLOGY: A PUBLIC HEALTH REVIEW OF CURRENT TRENDS AND RESPONSES

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    The intersection of mental health and digital technology has become a critical focus in the realm of public health. This paper provides a concise overview of the current trends and responses within this evolving landscape. The widespread integration of digital technology into daily life has both positive and negative implications for mental health. On one hand, digital platforms offer innovative tools for mental health support, including virtual therapy, mental health apps, and online communities. These resources enhance accessibility and reduce barriers to seeking help. Conversely, concerns have arisen regarding the adverse impact of excessive digital screen time, social media use, and cyberbullying on mental well-being. The paper explores the prevalence of digital mental health interventions, emphasizing the need for evidence-based practices and regulatory frameworks to ensure their efficacy and user safety. Additionally, it addresses the growing recognition of the digital divide and disparities in access to mental health resources, emphasizing the importance of inclusivity in digital mental health initiatives. Responses to these challenges involve collaborative efforts among mental health professionals, technology developers, policymakers, and public health practitioners. The paper highlights the importance of research in understanding the nuanced relationship between digital technology and mental health, informing the development of targeted interventions. Furthermore, it emphasizes the need for comprehensive public health strategies that prioritize digital literacy, mental health education, and the promotion of positive online behaviors. The paper underscores the multifaceted nature of the relationship between mental health and digital technology, calling for a holistic and collaborative approach to address the evolving challenges and opportunities in this dynamic landscape. Keywords:  Mental health, Digital technologies, Public health, Trends, Review

    Operational efficiency through HR management: Strategies for maximizing budget and personnel resources

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    Human resource (HR) management efficiency is pivotal for maximizing budget and personnel resources in today's competitive business environment. This paper explores strategies to enhance operational efficiency through comprehensive HR management practices. It discusses the importance of strategic HR planning in aligning HR activities with organizational goals, cost-effective recruitment and talent acquisition methods, and optimizing employee performance and development. The paper highlights innovative recruitment strategies, the integration of technology in talent acquisition, and the significance of employer branding. Additionally, it examines effective performance management systems, training and development programs, and employee engagement and retention strategies. The paper concludes with recommendations for implementing effective HR strategies to achieve operational efficiency, emphasizing the need for a comprehensive HR strategy, leveraging technology, fostering continuous improvement, and utilizing data-driven decision-making. These strategies improve individual and organizational performance and contribute to long-term success and competitiveness. Keywords: Operational Efficiency, HR Management, Strategic HR Planning, Talent Acquisition, Employee Engagement

    Leveraging digital technologies for health, safety, and environmental (HSE) management in industrial operations

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    The integration of digital technologies into Health, Safety, and Environmental (HSE) management has revolutionized industrial operations, offering new opportunities for improving safety outcomes and mitigating risks. This review explores the role of cutting-edge technologies such as the Internet of Things (IoT), sensors, artificial intelligence (AI), and predictive analytics in enhancing HSE management. These tools provide real-time data, enable predictive risk analysis, and facilitate proactive safety measures, resulting in reduced accidents, improved compliance, and optimized operational efficiency. However, the adoption of digital HSE solutions presents challenges, including data security concerns, integration issues with legacy systems, and resistance from employees and management. This paper addresses these challenges and offers key recommendations for successful implementation, including prioritizing cybersecurity, ensuring system compatibility, fostering employee engagement, and collaborating with regulatory bodies. Ultimately, digital technologies present significant opportunities to advance industrial safety and sustainability in HSE management. Keywords: Digital Technologies, Predictive Analytics, Internet of Things (Iot), Risk Mitigation, Industrial Safet

    Consumer attitudes and preferences for online food delivery among university students in Nigeria: An analysis of socioeconomic and behavioural factors

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    This study investigates consumers’ attitudes and preferences toward online food ordering among Adekunle Ajasin University, Akungba-Akoko (AAUA) students. Responses were gathered from 150 students across various faculties using social media platforms (Twitter, Facebook, WhatsApp, and Email) using primary data collected through structured online questionnaires. The sample was selected via simple random sampling. The collected data were analysed using descriptive statistics, binary logistic regression, and Pearson’s chi-square tests. Results reveal that due to a fast-paced lifestyle, many individuals, particularly students, find it challenging to visit restaurants, thus driving the popularity of online food delivery apps. These services have become essential in Nigeria, especially among higher education students. Online food ordering is one of the most frequent digital activities, although the specific motivations behind students’ choices remain largely unexplored. The study identified a significant association between satisfaction levels and key aspects of online food delivery, such as speed, reliability, price, stipend levels, and product quality. The findings suggest that online food vendors could benefit from implementing pricing strategies that align with students' financial limitations. Additionally, partnerships or promotional discounts geared towards students may improve affordability and encourage greater patronage. Emphasizing quality maintenance and improvement is essential, as these factors directly influence customer satisfaction and loyalty. Regular quality assessments are recommended to meet and exceed customer expectations, fostering long-term engagement. Keywords: Consumer Preference, Food Vendors, Online Products, Pearson Chi-Square, Binary Logistic Regression, Nigeria

    Synergizing AI and telecommunications for global development: A framework for achieving scalable and sustainable development

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    The integration of artificial intelligence (AI) and telecommunications is revolutionizing approaches to global development by creating scalable and sustainable solutions to critical challenges. This paper explores the synergy between AI technologies—such as machine learning and predictive analytics—and telecommunications infrastructure, including 5G and the Internet of Things (IoT). It highlights the transformative applications of this convergence in healthcare, education, agriculture, and disaster management, showcasing how these innovations enhance access, efficiency, and outcomes. While the potential is vast, the paper also examines key challenges, including infrastructure gaps, data privacy and security concerns, sustainability issues, and ethical considerations in AI deployment. To overcome these barriers, the paper recommends actionable strategies for policymakers, technologists, and stakeholders, emphasizing the importance of equitable access, ethical frameworks, and collaborative innovation. By addressing these challenges and leveraging the combined strengths of AI and telecommunications, this framework aims to accelerate progress toward inclusive and sustainable global development. Keywords: Artificial Intelligence, Telecommunications, Global Development, Sustainability, Digital Divide, Ethical AI

    Telepharmacy models improving chronic disease management in underserved, remote communities

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    This paper explores the potential of telepharmacy models in enhancing chronic disease management within underserved, remote communities. Telepharmacy, defined as the provision of pharmaceutical care through telecommunications technology, emerges as a viable solution to the challenges faced by these communities, including limited access to healthcare services and medications. By examining various telepharmacy models—synchronous, asynchronous, and hybrid—this study highlights their benefits, such as improved medication access, enhanced patient adherence, cost-effectiveness, and reduced healthcare disparities. However, the implementation of telepharmacy is fraught with challenges, including technological barriers, regulatory and legal considerations, privacy and security concerns, and resource constraints. The paper concludes with targeted recommendations for policymakers, healthcare providers, and communities to overcome these obstacles and fully leverage telepharmacy's potential. With strategic investments and collaborative efforts, telepharmacy can revolutionize chronic disease management, ensuring equitable and efficient healthcare delivery to underserved populations. Keywords: Telepharmacy, Chronic Disease Management, Remote Communities, Healthcare Access, Digital Health, Healthcare Disparities

    Marketing-Driven Supply Chain Innovation: A Framework for FMCG SME Sustainability

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    In an increasingly competitive and sustainability-conscious market, small and medium-sized enterprises (SMEs) in the Fast-Moving Consumer Goods (FMCG) sector face unique challenges in achieving long-term sustainability. This review explores the concept of marketing-driven supply chain innovation as a strategic framework for enhancing SME sustainability. By integrating consumer-centric marketing strategies with supply chain operations, SMEs can align their product offerings, sourcing practices, and logistics with growing consumer demand for environmentally and socially responsible products. The framework outlined in this study includes key components such as sustainable product design, green logistics, ethical sourcing, and the incorporation of circular economy principles. Additionally, technology-driven innovation, such as data analytics and digital platforms, is emphasized as a tool to improve supply chain transparency, reduce waste, and optimize resource utilization. Through these collaborative efforts, SMEs can foster stronger consumer trust, enhance brand loyalty, and build a competitive edge in the market. Despite the potential benefits, the review also discusses the challenges SMEs may face, including limited financial resources, resistance to organizational change, and balancing profitability with sustainability goals. However, by leveraging green financing options, cross-sector partnerships, and phased implementation strategies, SMEs can overcome these barriers. Ultimately, the integration of marketing-driven supply chain innovation is positioned as a critical path for FMCG SMEs to achieve long-term sustainability, profitability, and market competitiveness in an evolving global economy. Keywords: Marketing-Driven, Supply Chain, FMCG SME, Review

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