Exploring capital market innovations for net zero goals: A data-driven investment approach DOI Creative Commons

Omowonuola Ireoluwapo Kehinde Olanrewaju,

Portia Oduro,

Olusile Akinyele Babayeju

и другие.

Finance & Accounting Research Journal, Год журнала: 2024, Номер 6(6), С. 1091 - 1104

Опубликована: Июнь 25, 2024

This paper examines the role of capital market innovations in advancing net-zero goals through a data-driven investment approach. In face escalating climate change concerns, achieving emissions has become global imperative. Traditional strategies have often overlooked sustainability considerations, but recent markets are enabling shift towards more responsible investing practices. explores how can be leveraged to channel sustainable solutions while maximizing financial returns. The abstract begins by outlining significance and pivotal finance driving transition low-carbon economy. It then introduces concept innovations, including emergence approaches as powerful tool for objectives. By analyzing environmental, social, governance (ESG) factors, investors identify opportunities that align with mitigating risk. Through case studies examples, this highlights successful applications initiatives. also challenges associated these approaches, regulatory hurdles need robust risk management frameworks. Looking ahead, future directions markets, emphasizing continued innovation collaboration among stakeholders. concludes call action investors, policymakers, other participants embrace crucial mechanism building future. Keywords: Capital, Market, Innovations, Net Zero Goals, Data-Driven, Investment Approach.

Язык: Английский

Leveraging predictive analytics for strategic decision-making: Enhancing business performance through data-driven insights DOI Creative Commons

Abayomi Abraham Adesina,

Toluwalase Vanessa Iyelolu,

Patience Okpeke Paul

и другие.

World Journal of Advanced Research and Reviews, Год журнала: 2024, Номер 22(3), С. 1927 - 1934

Опубликована: Июнь 30, 2024

This paper explores the transformative role of predictive analytics in enhancing strategic decision-making and business performance. It delves into components analytics, including data mining, machine learning, statistical techniques. highlights its historical evolution technological enablers like big platforms, cloud computing, AI. The examines how improves profitability, efficiency, market share by providing actionable insights from raw data. also discusses emerging trends such as advancements AI, Internet Things (IoT), real-time while addressing associated risks privacy ethical considerations. conclusion underscores necessity adopting for sustainable growth competitive advantage today's data-driven environment.

Язык: Английский

Процитировано

23

Next-Generation strategies to combat antimicrobial resistance: Integrating genomics, CRISPR, and novel therapeutics for effective treatment DOI Creative Commons

Aliu Olalekan Olatunji,

Janet Aderonke Olaboye,

Chukwudi Cosmos Maha

и другие.

Engineering Science & Technology Journal, Год журнала: 2024, Номер 5(7), С. 2284 - 2303

Опубликована: Июль 24, 2024

Antimicrobial resistance (AMR) poses a significant threat to global public health, necessitating innovative strategies combat this escalating issue. This review outlines next-generation approaches integrating genomics, CRISPR technology, and novel therapeutics effectively address AMR. Genomic techniques enable comprehensive understanding of the genetic mechanisms underpinning resistance, facilitating development targeted interventions. By sequencing genomes resistant pathogens, researchers can identify genes, track their spread, predict emerging patterns. CRISPR-Cas systems offer revolutionary tool for combating AMR through precise genome editing. technology disrupt restore antibiotic sensitivity, develop bacteriophage therapies that selectively target bacteria. Moreover, CRISPR-based diagnostics rapid, accurate detection strains, enhancing infection control measures. The advent therapeutics, such as antimicrobial peptides, therapy, synthetic biology-derived compounds, provides alternative treatment options. These bypass traditional exhibit efficacy against multi-drug organisms. Additionally, artificial intelligence (AI) machine learning with genomics accelerate discovery new antibiotics trends, optimizing regimens. Implementing these requires robust collaboration, regulatory frameworks, investment in research development. combining CRISPR, we create multifaceted approach overcome AMR, ensuring effective treatments safeguarding health. integration represents paradigm shift strategy, offering hope future where infections be managed treated. Keywords: Integrating Genomics, Resistance, Therapeutic

Язык: Английский

Процитировано

18

Strategic financial decision-making in sustainable energy investments: Leveraging big data for maximum impact DOI Creative Commons

Luther Kington Nwobodo,

Chioma Susan Nwaimo,

Mayokun Daniel Adegbola

и другие.

International Journal of Management & Entrepreneurship Research, Год журнала: 2024, Номер 6(6), С. 1982 - 1996

Опубликована: Июнь 24, 2024

In the context of escalating environmental concerns and transition towards a greener economy, sustainable energy investments have emerged as pivotal area for financial growth innovation. This paper outlines strategic framework decision-making in investments, emphasizing transformative role big data. By integrating data analytics into investment process, stakeholders can enhance market analysis, risk assessment, performance monitoring, predictive modeling, leading to more informed effective strategies. The delves various sources, analytical tools, technologies that facilitate collection, processing, interpretation vast amounts information. Additionally, it presents case studies illustrating successful applications solar wind projects, highlighting best practices common challenges. discussion extends future trends, including advancements artificial intelligence machine learning, which are poised further revolutionize sector. concludes with recommendations developing data-driven approach, building robust infrastructures, fostering culture continuous learning adaptation. leveraging data, investors maximize impact their drive growth, contribute global transition. Keywords: Sustainable Energy Investments, Big Data Analytics, Strategic Financial Decision-Making, Market Analysis, Risk Assessment, Predictive Modeling.

Язык: Английский

Процитировано

17

Driving energy transition through financial innovation: The critical role of Big Data and ESG metrics DOI Creative Commons

Omowonuola Ireoluwapo Kehinde Olanrewaju,

Darlington Eze Ekechukwu,

Peter Simpa

и другие.

Computer Science & IT Research Journal, Год журнала: 2024, Номер 5(6), С. 1434 - 1452

Опубликована: Июнь 14, 2024

Driving the transition to sustainable energy is a critical global imperative, and financial innovation plays pivotal role in accelerating this process. This paper examines intersection of innovation, big data, Environmental, Social, Governance (ESG) metrics advancing transition. By harnessing power data integrating ESG considerations into investment decisions, institutions can drive meaningful change towards more future. The begins by exploring concept transition, highlighting its importance, drivers, challenges. It then delves discussing examples opportunities it presents for driving Subsequently, significance understanding consumption patterns optimizing efficiency, along with influencing decisions corporate behavior. emphasized, focus on their synergistic potential investments informing decision-making processes. Case studies are presented illustrate successful applications sector. Finally, discusses challenges future directions, including regulatory considerations, technological advancements, collaboration. concludes underscoring importance continued calls collective action Keywords: Energy Transition, Financial Innovation, Big Data, Metrics, Sustainability, Investment Decisions, Sustainable Energy, Renewable Climate Change

Язык: Английский

Процитировано

14

Aligning oil and gas industry practices with sustainable development goals (SDGs) DOI Creative Commons

Andrew Emuobosa Esiri,

Oludayo Olatoye Sofoluwe,

Ayemere Ukato

и другие.

International Journal of Applied Research in Social Sciences, Год журнала: 2024, Номер 6(6), С. 1215 - 1226

Опубликована: Июнь 13, 2024

The alignment of oil and gas industry practices with Sustainable Development Goals (SDGs) is imperative for fostering a sustainable future. This abstract provides an overview the strategies challenges associated this alignment. plays significant role in global energy supply, economic development, geopolitical dynamics. However, its operations often have adverse environmental, social, impacts, making SDGs essential. Challenges aligning include environmental degradation caused by extraction activities, social disparities oil-producing regions, regulatory complexities. To address these challenges, such as reducing carbon footprints, transitioning to renewable sources, engaging local communities, protecting human indigenous rights, diversification are crucial. Case studies companies successfully highlight best lessons learned. Impact assessments demonstrate positive outcomes aligned on conservation, well-being, development. Recommendations policy reforms, guidelines, stakeholder collaboration facilitate broader adoption practices. In conclusion, essential achieving development goals globally. calls concerted efforts from stakeholders, policymakers, civil society create more Keywords: Oil, Gas, Industry Practices, (SDGs).

Язык: Английский

Процитировано

13

Enhancing business intelligence in e-commerce: Utilizing advanced data integration for real-time insights DOI Creative Commons

Omorinsola Bibire Seyi- Lande,

Ebunoluwa Johnson,

Gbenga Sheriff Adeleke

и другие.

International Journal of Management & Entrepreneurship Research, Год журнала: 2024, Номер 6(6), С. 1936 - 1953

Опубликована: Июнь 13, 2024

This paper explores how advanced data integration techniques and real-time insights can significantly enhance BI in the e-commerce sector. By leveraging methods such as ETL, ELT, virtualization, API integration, streaming businesses achieve a comprehensive, unified view of their data. The enables dynamic pricing, personalized customer experiences, efficient inventory management, proactive fraud detection, improved support. Despite challenges silos, quality issues, scalability, security, technical complexity, solutions like governance, cloud computing, analytics tools address these obstacles. Future trends, including artificial intelligence, machine learning, edge block chains, fabric, promise to further transform e-commerce. Ultimately, are essential for companies stay competitive, optimize operations, satisfaction. In fast-paced competitive world e-commerce, ability make quick, informed decisions is crucial success. Business Intelligence (BI) plays vital role by transforming vast amounts into actionable that drive strategic operational efficiency. chain, Case studies from leading illustrate practical benefits implementing techniques, showcasing significant improvements efficiency Keywords: Intelligence, E-commerce Analytics, Data Integration, Real-Time Insights.

Язык: Английский

Процитировано

12

Transforming business scalability and operational flexibility with advanced cloud computing technologies DOI Creative Commons

Chinazor Prisca Amajuoyi,

Luther Kington Nwobodo,

Mayokun Daniel Adegbola

и другие.

Computer Science & IT Research Journal, Год журнала: 2024, Номер 5(6), С. 1469 - 1487

Опубликована: Июнь 25, 2024

In the rapidly evolving landscape of digital transformation, cloud computing has emerged as a pivotal technology enabling businesses to achieve unparalleled scalability and operational flexibility. This review explores transformative impact advanced technologies on business operations, highlighting key innovations their implications for organizational growth efficiency. Cloud offers dynamic scalable environment where resources can be provisioned managed on-demand, allowing respond swiftly changing market conditions customer demands. By leveraging infrastructure, companies scale operations seamlessly without need significant upfront investments in physical hardware. flexibility not only reduces capital expenditure but also enhances ability innovate adapt competitive marketplace. Advanced technologies, such multi-cloud hybrid solutions, further augment by organizations optimize IT environments. Multi-cloud strategies allow distribute workloads across multiple providers, mitigating risks associated with vendor lock-in ensuring high availability redundancy. Hybrid which integrate on-premises infrastructure public private clouds, provide balanced approach managing sensitive data while benefiting from cloud. Moreover, cloud-native like containerization serverless have revolutionized application development deployment. Containers encapsulate applications dependencies, consistency different environments facilitating rapid Serverless reviews underlying developers focus solely code, thus accelerating cycle reducing overhead. The integration analytics artificial intelligence (AI) capabilities. platforms offer robust tools AI services that process vast amounts real-time, providing actionable insights predictive decision-making. empowers improve experiences, drive strategic initiatives data-driven precision. conclusion, are instrumental transforming harnessing power cloud, greater agility, cost efficiency, innovation, positioning themselves sustained advantage age. As continue evolve, potential redefine economic value will expand, making adoption critical imperative modern enterprises. Keywords: Operational Flexibility, Transforming, Business Scalability, Advanced, Computing Technologies.

Язык: Английский

Процитировано

11

Enhancing data quality through comprehensive governance: Methodologies, tools, and continuous improvement techniques DOI Creative Commons

Courage Idemudia,

Adebimpe Bolatito Ige,

Victor Ibukun Adebayo

и другие.

Computer Science & IT Research Journal, Год журнала: 2024, Номер 5(7), С. 1680 - 1694

Опубликована: Июль 25, 2024

In the era of data-driven decision-making, ensuring data quality is paramount for organizations seeking to leverage their assets effectively. This paper explores comprehensive strategies enhancing through robust governance, methodologies, tools, and continuous improvement techniques. It highlights critical dimensions quality, including accuracy, completeness, consistency, timeliness, validity, uniqueness. discusses various assessment techniques, such as profiling, auditing, metrics. The also examines role cleansing, enrichment, integration, interoperability in maintaining high quality. Additionally, it provides an overview leading management evaluation criteria, best practices implementation. Finally, underscores importance monitoring, feedback loops, root cause analysis, fostering organization's culture. By adopting these strategies, can ensure reliability integrity data, improved business outcomes. Keywords: Data Quality, Governance, Profiling, Cleansing, Continuous Improvement.

Язык: Английский

Процитировано

11

Strengthening corporate governance and financial compliance: Enhancing accountability and transparency DOI Creative Commons

Christianah Pelumi Efunniyi,

Angela Omozele Abhulimen,

Anwuli Nkemchor Obiki-Osafiele

и другие.

Finance & Accounting Research Journal, Год журнала: 2024, Номер 6(8), С. 1597 - 1616

Опубликована: Авг. 31, 2024

In today's complex business landscape, robust corporate governance and financial compliance are essential for maintaining organizational integrity, accountability, transparency. This review examines the key components strategies necessary to enhance these frameworks, ensuring sustainable success stakeholder trust. Corporate encompasses regulatory compliance, risk management, ethical conduct, engagement. Adherence laws regulations, such as Sarbanes-Oxley Act (SOX) General Data Protection Regulation (GDPR), is foundational in minimizing legal risks safeguarding reputation. Effective management involves identifying, assessing, mitigating potential threats an organization’s health operational integrity through strong internal controls regular audits. Promoting conduct within organizations crucial trust Establishing codes of guidelines, whistleblower protections fosters a culture integrity. Transparent communication engagement ensure that activities align with interests expectations. Enhancing accountability transparency several strategies. Strong board oversight independence, characterized by diverse skilled members, balanced objective decision-making. Regular external audits verify accuracy identifying areas improvement. Leveraging technology data analytics pivotal modern efforts. Technologies like blockchain, artificial intelligence (AI), machine learning automate processes, improve accuracy, provide real-time insights into performance management. reporting disclosure practices, adhering standards International Financial Reporting Standards (IFRS), further Continuous training education employees members on principles, requirements, vital fostering accountability. Strengthening fundamental enhancing By adopting comprehensive leveraging technology, promoting can build trust, mitigate risks, growth dynamic environment. Keywords: Governance, Global Corporations, Harmonization.

Язык: Английский

Процитировано

10

Strategic risk management in financial institutions: Ensuring robust regulatory compliance DOI Creative Commons

Ibrahim Adedeji Adeniran,

Angela Omozele Abhulimen,

Anwuli Nkemchor Obiki-Osafiele

и другие.

Finance & Accounting Research Journal, Год журнала: 2024, Номер 6(8), С. 1582 - 1596

Опубликована: Авг. 31, 2024

Strategic risk management in financial institutions is a critical component for ensuring robust regulatory compliance and maintaining stability. This review explores the multifaceted nature of strategic its importance dynamic landscape sector. It delves into fundamental components management, including identification, assessment, mitigation, monitoring, highlighting how these processes help navigate complexities requirements. The discussion encompasses various types risks faced by institutions, such as credit, market, operational, liquidity, risks, illustrating need comprehensive frameworks. also reviews key frameworks, Basel III, Dodd-Frank Act, guidelines from European Banking Authority, emphasizing their impact on capital requirements, liquidity standards, governance expectations. A framework integrates efforts with business strategy, that are not only adhering to mandates but aligning appetite tolerance objectives. role technology, particularly data analytics, real-time cybersecurity, examined crucial enabler effective compliance. Best practices enhancing outlined, continuous regular audits, scenario analysis. Challenges evolving regulations, product complexity, globalization addressed, recommendations adaptive strategies industry collaboration. Through case studies, provides insights successful implementations lessons learned failures. underscores fortifying suggests future trends, advanced AI machine learning, which could further revolutionize approach institutions. Keywords: Risk, Financial Institution, Regulatory, Compliance

Язык: Английский

Процитировано

9