bluuebunny/crossref_metadata_2025_split huggingface dataset:
REVIEW OF WATER POLICY AND MANAGEMENT: COMPARING THE USA AND AFRICA
Authors: Zamathula Queen Sikhakhane Nwokediegwu  , Adedayo Adefemi  , Olushola Babatunde Ayorinde  , Valentine Ikenna Ilojianya  , Emmanuel Augustine Etukudoh  
Published: February 2024

This research paper conducts a comparative analysis of water policies and management in the United States (USA) and Africa, aiming to distill insights, challenges, and recommendations for global water governance. Examining both regions' historical development, institutional frameworks, and critical challenges reveals diverse approaches to water scarcity, infrastructure, and climate change. The USA's well-established institutions and regulatory frameworks contrast Africa's complex governance landscape, highlighting the need for context-specific solutions. Recommendations emphasize strengthening governance, inclusive stakeholder engagement, and climate change resilience. Recognizing the importance of international collaboration, the paper proposes knowledge exchange and capacity-building initiatives. Ultimately, this research contributes valuable lessons for policymakers, stakeholders, and communities worldwide, fostering a collaborative vision for sustainable water futures.
Keywords: Water Policies, Water Management, Comparative Analysis, Governance, International Collaboration.
LNG AND CLIMATE CHANGE: EVALUATING ITS CARBON FOOTPRINT IN COMPARISON TO OTHER FOSSIL FUELS
Authors: Cosmas Dominic Daudu  , Adedayo Adefemi  , Oladipo Olugbenga Adekoya  , Chinelo Emilia Okoli  , Olushola Babatunde Ayorinde  , Andrew Ifesinachi Daraojimba  
Published: February 2024

The increasing global demand for energy, coupled with growing concerns about climate change, has prompted a critical examination of the environmental impact of various energy sources. Liquefied Natural Gas (LNG) has emerged as a significant player in the energy landscape, touted for its potential as a cleaner alternative to traditional fossil fuels. This review provides a concise overview of a comprehensive evaluation that assesses the carbon footprint of LNG in comparison to other fossil fuels. The research delves into the lifecycle analysis of LNG, scrutinizing its carbon emissions from extraction and production to transportation and combustion. This holistic approach seeks to unravel the nuanced environmental implications associated with LNG utilization. Comparative analyses with conventional fossil fuels such as coal and oil are conducted, aiming to offer a comprehensive understanding of LNG's relative environmental performance. Key aspects covered include the environmental considerations throughout the LNG supply chain, encompassing extraction, liquefaction, shipping, regasification, and combustion. Special attention is given to technological advancements and innovations that influence the carbon intensity of LNG operations. The assessment incorporates recent data and insights, providing an up-to-date perspective on the evolving landscape of LNG's carbon footprint. The review highlights the significance of evaluating the entire spectrum of emissions associated with different fossil fuels, acknowledging the varying impacts on global warming potential. Additionally, the research considers regional and geopolitical factors influencing the sourcing and consumption of LNG, contributing to a nuanced understanding of its carbon profile in diverse contexts. As the world navigates the transition towards a more sustainable energy future, this research aims to contribute valuable insights into the role of LNG in mitigating climate change. The findings have implications for policymakers, industry stakeholders, and environmental advocates, offering a basis for informed decision-making and strategic planning in the pursuit of a low-carbon energy paradigm.
Keywords: LNG, Climate, Carbon, Footprint, Fossil Fuels.
A REVIEW OF AGILE METHODOLOGIES IN PRODUCT LIFECYCLE MANAGEMENT: BRIDGING THEORY AND PRACTICE FOR ENHANCED DIGITAL TECHNOLOGY INTEGRATION
Authors: Chidera Victoria Ibeh  , Kehinde Feranmi Awonuga  , Ugochukwu Ikechukwu Okoli  , Chinedu Ugochukwu Ike  , Ndubuisi Leonard Ndubuisi  , Alexander Obaigbena  
Published: February 2024

This study explores the intersection of agile methodologies and Product Lifecycle Management (PLM), aiming to bridge theoretical insights with practical applications for an improved integration of digital technologies. Agile methodologies, originally developed for software development, have gained prominence for their adaptive and collaborative approach. This paper investigates their applicability and impact within the broader context of PLM, a strategic process encompassing the entire lifecycle of a product from conception to disposal. The integration of agile practices in PLM promises enhanced flexibility, faster response to changing requirements, and improved collaboration among cross-functional teams. The review encompasses a comprehensive examination of existing literature, synthesizing insights from both agile and PLM domains. The analysis delves into key principles of agile methodologies, such as iterative development, continuous feedback, and adaptive planning, and evaluates their potential contributions to various stages of the product lifecycle. Additionally, the paper scrutinizes real-world case studies and industry examples to illustrate successful implementations and identify challenges in adopting agile practices within PLM frameworks. Theoretical frameworks are explored to establish a foundation for the practical integration of agile methodologies, addressing potential conflicts and synergies. The review highlights the significance of aligning agile principles with PLM objectives to foster digital technology integration. The proposed synthesis of theory and practice aims to guide organizations in leveraging agile methodologies for optimizing their product development processes within the dynamic landscape of digital technology. This review contributes valuable insights to academia and industry professionals seeking a nuanced understanding of the synergy between agile methodologies and PLM for enhanced digital technology integration.
Keywords: Project Management; Product Cycle; Agile Methodologies; Management; Resources; Review.
HARNESSING DATA ANALYTICS FOR SUSTAINABLE BUSINESS GROWTH IN THE U.S. RENEWABLE ENERGY SECTOR
Authors: Akoh Atadoga  , Kehinde Feranmi Awonuga  , Chidera Victoria Ibeh  , Chinedu Ugochukwu Ike  , Kehinde Andrew Olu-lawal  , Favour Oluwadamilare Usman  
Published: February 2024

The U.S. renewable energy sector is at the forefront of addressing global environmental challenges, with a growing emphasis on sustainability and clean energy alternatives. This review explores the pivotal role of data analytics in fostering sustainable business growth within this dynamic industry. As renewable energy sources continue to gain prominence, leveraging data analytics becomes imperative for companies aiming to optimize operations, enhance efficiency, and contribute to long-term ecological objectives. Data analytics serves as a powerful tool for harnessing insights from vast and complex datasets generated by renewable energy systems. This review delves into the ways in which organizations can extract actionable intelligence from data, enabling informed decision-making and strategic planning. From predictive maintenance of renewable infrastructure to real-time monitoring of energy production, data analytics empowers businesses to streamline processes and mitigate operational risks. Furthermore, the review sheds light on the role of data analytics in promoting innovation and research within the U.S. renewable energy sector. By analyzing patterns, trends, and historical data, organizations can identify areas for technological advancements, thereby accelerating the development of cutting-edge solutions. This proactive approach not only contributes to sustainable business growth but also positions the sector as a driver of innovation in the broader landscape of clean energy technologies. The review also highlights the challenges and opportunities associated with the integration of data analytics in the renewable energy domain, considering factors such as data security, regulatory compliance, and the need for skilled professionals. The synthesis of data-driven insights with sustainability objectives not only enhances the competitiveness of businesses in the U.S. renewable energy sector but also aligns them with global efforts to address climate change and achieve a more sustainable energy future.
Keywords: Data, Business, USA, Renewable Energy, Sustainability, Review.
NON-FINANCIAL INFORMATION DISCLOSURES AND FIRM PERFORMANCE OF LISTED NON-FINANCIAL SERVICES FIRMS IN NIGERIA
Authors: Atube, Elizabeth Noyenim  , Okolie, Austin O. (FCA)  
Published: February 2024

This study explored the impact of non-financial information disclosures on the performance of non-financial services firms listed in Nigeria. It utilized an ex-post facto research design on panel data extracted from annual financial reports of selected firms spanning from 2013 to 2022. The methodology involved Generalized Linear Models (GLS) regression analysis, performed using E-Views V.9.0 software. Diagnostic tests were conducted to ensure compliance with panel assumptions, and hypotheses were evaluated based on the specific model formulated. The study utilized two models with dependent variables being accounting-based (Return on Equity - ROE) and market-based (Net Assets per Share - NAPS) to measure various independent variables (environmental, social, corporate governance, and forward looking disclosures). With p-values of 0.000 and 0.0433 for the models ROE and NAPS, respectively, the analysis's findings showed that environmental disclosures significantly and favourably affect the performance of listed non-financial companies in Nigeria. Social disclosures had negative p-values in both NAPS and ROE (0.0113 and 0.1310, respectively). However, corporate governance was statistically significant in ROE but negligible in NAPS. Additionally, with p-values of 0.0000 and 0.0230 for ROE and NAPS, respectively, the study demonstrated that forward-looking information positively and significantly impacted the performance of quoted non-financial firms in Nigeria. The study concludes that non-financial information disclosure has a mixed effect on the financial performance of quoted firms in Nigeria's non-financial services sector. It recommends regulatory standardization for forward-looking disclosures. Furthermore, investors are advised to consider future investment projections alongside financial statements to gain a comprehensive understanding of a firm's future outlook.
Keywords: Non-financial information disclosures, Performance, Non-financial firms, Return on Equity, and Net Assets per Share.
REVIEW OF AI TECHNIQUES IN FINANCIAL FORECASTING: APPLICATIONS IN STOCK MARKET ANALYSIS
Authors: David Iyanuoluwa Ajiga  , Rhoda Adura Adeleye  , Onyeka Franca Asuzu  , Oluwaseyi Rita Owolabi  , Binaebi Gloria Bello  , Ndubuisi Leonard Ndubuisi  
Published: February 2024

This scholarly inquiry delves into the burgeoning intersection of Artificial Intelligence (AI) and financial forecasting, particularly within the stock market domain. The study's backdrop is set against the rapid evolution of AI techniques, which have significantly altered the landscape of financial analysis. The primary aim is to dissect and evaluate the impact of AI on stock market predictions, juxtaposing its capabilities against traditional forecasting methods while navigating through the ethical and practical complexities inherent in AI implementation. The scope of the paper encompasses a comprehensive review of AI's evolution in financial analysis, its comparative effectiveness, and the sector-specific applications in stock markets. Methodologically, the study employs a systematic review of existing literature, focusing on peer-reviewed articles that shed light on the performance, challenges, and future prospects of AI in stock market forecasting. The findings reveal AI's profound potential in enhancing market efficiency and volatility understanding, albeit tempered by challenges such as data quality issues, model interpretability, and the need for robust regulatory frameworks. The main conclusions underscore AI's transformative role in financial forecasting, highlighting its ability to analyze vast datasets and predict market trends with heightened accuracy. However, the study also acknowledges the limitations within AI models, emphasizing the necessity for a balanced approach that integrates AI with traditional methods and continuous algorithmic refinement. Recommendations advocate for collaborative efforts between technologists, ethicists, and financial experts to develop ethically sound, transparent, and effective AI applications. In summary, this paper offers a panoramic view of AI's role in financial forecasting, serving as a guidepost for future explorations in this field. It underscores the immense possibilities and intricate challenges of AI in the dynamic landscape of stock market analysis, paving the way for a new era of data-driven decision-making in finance.
Keywords: Artificial Intelligence, Financial Forecasting, Stock Market Prediction, Machine Learning, Ethical Considerations, Regulatory Frameworks.
ETHICAL CHALLENGES IN ACCOUNTING: A REVIEW OF CASE STUDIES FROM THE USA AND AFRICA
Authors: Odeyemi Olubusola  , Onyeka Henry Daraojimba  , Adeola Olusola Ajayi-Nifise  , Titilola Falaiye  , Noluthando Zamanjomane Mhlongo  
Published: February 2024

The Review explores the intricate landscape of ethical challenges in accounting through a comprehensive review of case studies originating from both the United States and Africa. This analysis delves into the ethical dimensions of accounting practices, shedding light on common themes and divergences across these distinct regions. In the United States, the review scrutinizes case studies that exemplify ethical dilemmas encountered by accountants in a sophisticated regulatory environment. Issues such as earnings management, financial fraud, and conflicts of interest are explored within the context of intricate financial markets and stringent regulatory oversight. The examination of these cases provides insights into the complexities and ethical considerations faced by accounting professionals in the U.S. Turning to Africa, the Review investigates a diverse set of case studies that illuminate unique ethical challenges prevailing in the region. The African context introduces cultural, economic, and institutional factors that contribute to the intricacies of ethical decision-making in accounting. Issues such as corruption, inadequate regulatory frameworks, and the impact of socio-economic factors on financial reporting are dissected to uncover the nuances of ethical challenges faced by accountants in diverse African settings. Throughout the Review, common threads and distinctive ethical dilemmas emerge, highlighting the global relevance of ethical considerations in accounting practices. The review underscores the importance of context-specific understanding, acknowledging that ethical challenges are shaped by the interplay of cultural, economic, and institutional factors. The Review encourages a nuanced examination of ethical issues, emphasizing the need for a holistic approach that considers regional peculiarities while promoting universally applicable ethical standards in the field of accounting. As the global economy becomes increasingly interconnected, recognizing and addressing ethical challenges in accounting across diverse landscapes is crucial for fostering integrity, transparency, and accountability in financial reporting practices.
Keywords: Ethical, Challenges, Accounting, Finance.
LEVERAGING BIG DATA FOR PERSONALIZED MARKETING CAMPAIGNS: A REVIEW
Authors: Gold Nmesoma Okorie  , Zainab Efe Egieya  , Uneku Ikwue  , Chioma Ann Udeh  , Ejuma Martha Adaga  , Obinna Donald DaraOjimba  , Osato Itohan Oriekhoe  
Published: February 2024

The burgeoning field of big data analytics has revolutionized the landscape of marketing, offering unprecedented opportunities for personalized marketing campaigns. This review aims to synthesize the current state of knowledge on leveraging big data for personalized marketing, elucidating the objectives, methodologies, key findings, and conclusions drawn from recent research in this domain. The primary objective of this review is to explore how big data analytics can be effectively utilized to tailor marketing strategies to individual consumer preferences, behaviors, and patterns. Methodologically, the review adopts a comprehensive approach, examining a wide range of studies that employ various big data tools and techniques, including machine learning algorithms, data mining, and predictive analytics, in the context of personalized marketing. Key findings indicate that big data analytics significantly enhances the ability of marketers to understand and predict consumer behavior, leading to more effective targeting and segmentation strategies. The integration of big data has shown to improve customer engagement, satisfaction, and loyalty by delivering more relevant and timely marketing messages. However, challenges such as data privacy concerns, the need for advanced analytical skills, and the potential for data inaccuracies are also highlighted. In conclusion, while big data presents substantial opportunities for personalizing marketing campaigns, its effective implementation requires careful consideration of ethical implications, investment in technological infrastructure, and ongoing skill development. Future research directions include exploring the impact of emerging technologies like artificial intelligence and the Internet of Things (IoT) on personalized marketing, and developing frameworks for ethical data usage in marketing practices. This review underscores the transformative potential of big data in reshaping personalized marketing strategies, offering valuable insights for both practitioners and researchers in the field.
Keywords: Big Data, Marketing Strategies, Consumer Behavior, Data Analytics, Personalized Marketing, Market Segmentation, Privacy Concerns, Ethical Challenges, Digital Transformation, Artificial Intelligence (AI).
THE ROLE OF IT IN ENHANCING SUPPLY CHAIN RESILIENCE: A GLOBAL REVIEW
Authors: Akoh Atadoga  , Femi Osasona  , Olukunle Oladipupo Amoo  , Oluwatoyin Ajoke Farayola  , Benjamin Samson Ayinla  , Temitayo Oluwaseun Abrahams  
Published: February 2024

In today's dynamic and interconnected global business environment, supply chain resilience has emerged as a critical factor for organizations seeking to navigate uncertainties and disruptions. This review explores the pivotal role of Information Technology (IT) in bolstering supply chain resilience on a global scale. As supply chains become increasingly complex and vulnerable to various risks, including natural disasters, geopolitical tensions, and pandemics, leveraging IT capabilities becomes imperative for organizations aiming to build and sustain resilience. The review encompasses an in-depth analysis of how IT tools and systems contribute to enhancing supply chain resilience across diverse industries and geographical regions. The integration of advanced technologies such as Artificial Intelligence (AI), Internet of Things (IoT), and blockchain is examined, shedding light on their transformative impact on supply chain management. These technologies enable real-time visibility, predictive analytics, and secure information sharing, empowering organizations to proactively identify risks and respond swiftly to disruptions. Furthermore, the review delves into the significance of digital platforms and cloud-based solutions in fostering collaboration and agility within supply chains. The ability to access and share critical information seamlessly among supply chain partners facilitates quick decision-making and adaptive responses to unforeseen challenges. Case studies from various global contexts provide insights into successful IT implementations that have significantly improved supply chain resilience, showcasing best practices and lessons learned. This global review underscores the indispensable role of IT in fortifying supply chain resilience. As organizations continue to grapple with an ever-evolving landscape of uncertainties, leveraging cutting-edge IT solutions emerges as a strategic imperative for building robust, adaptable, and responsive supply chains that can withstand and recover from disruptions effectively.
Keywords: IT, Supply Chain, Resilience, Review, Technology.
THE ROLE OF HR IN PROMOTING MENTAL HEALTH AND WELL-BEING IN HEALTHCARE SETTINGS: A COMPREHENSIVE REVIEW
Authors: Noluthando Zamanjomane Mhlongo  , Oluwafunmi Adijat Elufioye  , Onyeka Franca Asuzu  , Ndubuisi Leonard Ndubuisi  , Funmilola Olatundun Olatoye  , Adeola Olusola Ajayi-Nifise  
Published: February 2024

This review delves into the critical role that Human Resources (HR) plays in fostering mental health and well-being within healthcare settings. The healthcare industry, known for its demanding and high-stakes nature, places substantial strain on the mental health of its workforce. Recognizing the impact of mental well-being on both individual performance and patient outcomes, this comprehensive review explores the multifaceted responsibilities of HR in addressing mental health challenges. The paper examines HR strategies that aim to create a supportive and healthy work environment for healthcare professionals. These strategies include the implementation of employee assistance programs, stress management initiatives, and mental health awareness campaigns. The review highlights the importance of destigmatizing mental health issues within the healthcare workforce, emphasizing HR's role in fostering a culture that encourages open communication and seeks to remove barriers to seeking help. Additionally, the paper explores HR's involvement in talent acquisition and retention, recognizing the link between job satisfaction, mental well-being, and overall staff retention in healthcare settings. It discusses recruitment practices that prioritize the holistic well-being of employees and the role of HR in developing and implementing policies that promote work-life balance. Furthermore, the review explores the incorporation of mental health training and education into HR programs, ensuring that healthcare professionals possess the necessary tools to manage stress and navigate the challenges inherent in their roles. The review concludes by underlining the need for a collaborative approach between HR professionals, healthcare leadership, and employees to create a workplace culture that prioritizes mental health, ultimately benefiting both the well-being of healthcare professionals and the quality of patient care.
Keywords: HR, Mental Health, Healthcare, Well-being, Review, Management.