Data privacy and security challenges in environmental research: Approaches to safeguarding sensitive information DOI Creative Commons

Oluwabunmi Layode,

Henry Nwapali Ndidi Naiho,

Gbenga Sheriff Adeleke

et al.

International Journal of Applied Research in Social Sciences, Journal Year: 2024, Volume and Issue: 6(6), P. 1193 - 1214

Published: June 13, 2024

This study provides a comprehensive examination of data privacy and security within the realm environmental research, highlighting evolving challenges innovative solutions in safeguarding sensitive data. Employing systematic literature review content analysis, this research scrutinizes peer-reviewed articles, legal documents, policy papers published from 2014 to 2024. The study's objectives were explore fundamental principles, assess key developments cutting-edge solutions, understand impact international standards regulatory bodies on protection studies. Key findings reveal growing emphasis robust governance frameworks, driven by advancements digital technologies global diffusion regulations such as GDPR. Innovations encryption anonymization techniques have emerged critical tools enhancing security. However, identifies pressing need for interdisciplinary collaboration stakeholder engagement navigate complex landscape effectively. concludes that future is intricately linked strategic integration measures. It recommends proactive approach protection, emphasizing importance compliance with regulations, adoption privacy-by-design development education training programs. Future should focus advancing exploring socio-ethical implications use studies, ensuring ethical stewardship information. Keywords: Data Privacy, Environmental Research, Security Solutions, International Regulations.

Language: Английский

THE ROLE OF AI IN MARKETING PERSONALIZATION: A THEORETICAL EXPLORATION OF CONSUMER ENGAGEMENT STRATEGIES DOI Creative Commons

Sodiq Odetunde Babatunde,

Opeyemi Abayomi Odejide,

Tolulope Esther Edunjobi

et al.

International Journal of Management & Entrepreneurship Research, Journal Year: 2024, Volume and Issue: 6(3), P. 936 - 949

Published: March 28, 2024

This paper explores the transformative potential of Artificial Intelligence (AI) in personalizing marketing strategies. It delves into theoretical underpinnings consumer engagement sand investigates how AI can be leveraged to develop targeted and relevant experiences. personalize messages based on behavior demographics, influencing processing route maximizing engagement. theory use game mechanics motivate engage users. gamified experiences, tailoring rewards challenges individual preferences, driving deeper Algorithms analyze vast amounts customer data predict preferences behaviors. allows for advertising, product recommendations, content that resonates with specific segments. Natural Language Processing (NLP), AI-powered NLP tools reviews, social media conversations, other forms unstructured data. brands understand sentiment communication styles optimal chatbots virtual assistants provide personalized support recommendations real-time, fostering a more interactive engaging brand experience. Potential Benefits Considerations Personalized experiences cater needs leading higher satisfaction loyalty. By offerings segments, establish relatable image. Improved Conversion Rates, campaigns highly effective, increased conversions sales. Balancing personalization privacy concerns is crucial. Transparency user control over collection practices are essential. algorithms perpetuate biases present training Ensuring fairness inclusivity paramount. revolutionizing personalization. leveraging AI's analytical capabilities understanding aspects engagement, strategies foster connections drive business growth. Keywords: Personalization, Consumer Engagement, Marketing Strategy, Theoretical Exploration, Data Privacy, Algorithmic Bias.

Language: Английский

Citations

127

Agile methodologies in digital banking: Theoretical underpinnings and implications for customer satisfaction DOI Creative Commons

Damilola Oluwaseun Ogundipe,

Opeyemi Abayomi Odejide,

Tolulope Esther Edunjobi

et al.

Open Access Research Journal of Science and Technology, Journal Year: 2024, Volume and Issue: 10(2), P. 021 - 030

Published: March 26, 2024

This paper delves into the theoretical underpinnings of agile methodologies and investigates their potential to enhance customer satisfaction in digital banking. Theoretical foundations draw on several key frameworks complexity theory, complex systems, like banking ecosystems, exhibit emergent properties. Traditional linear approaches struggle predict these. Agile embraces iterative development cycles adaptability changing requirements, acknowledging this lean thinking, derived from manufacturing, thinking prioritizes eliminating waste maximizing value. translates by focusing short sprints, prioritizing features with highest impact, minimizing unnecessary functionalities co-creation, traditional models often distance customers process. emphasizes actively involving them design testing. fosters a deeper understanding needs leads more relevant satisfying experiences. practices encompass diverse practices. visual management system focuses workflow optimization. Promoting continuous flow work deployment user stories acceptance criteria, User Acceptance criteria define specific conditions feature must meet for approval. These ensure align expectations. hold significant promise enhancing digit allows banks deliver new faster, keeping pace evolving demands. Customers benefit quicker access innovative solutions that address financial needs. results experiences are intuitive, efficient, cater Increased Innovation, The nature learning experimentation. Banks can test features, gather feedback, rapidly iterate upon them, leading dynamic experience. Improved transparency trust, promote open communication collaboration between teams customers. kept informed updates have voice shaping process, fostering trust sense ownership.

Language: Английский

Citations

56

AI IN PROJECT MANAGEMENT: EXPLORING THEORETICAL MODELS FOR DECISION-MAKING AND RISK MANAGEMENT DOI Creative Commons

Opeyemi Abayomi Odejide,

Tolulope Esther Edunjobi

Engineering Science & Technology Journal, Journal Year: 2024, Volume and Issue: 5(3), P. 1072 - 1085

Published: March 24, 2024

This paper explores the transformative potential of Artificial Intelligence (AI) in personalized marketing. It highlights how AI can analyze vast amounts customer data to create targeted messages, recommendations, and real-time interactions that resonate with individual needs preferences. approach fosters deeper consumer engagement, leading increased satisfaction, brand loyalty, business success. The discusses future shaping marketing experiences. However, responsible implementation will be paramount ensuring a positive for both brands consumers. Enhanced version abstract incorporating additional insights, this delves into power algorithms multitude points, including purchase history, website behavior, social media interactions. rich empowers highly By fostering AI-powered personalization unlocks pathway ultimately, significant growth. acknowledges ethical considerations accompany implementation. Responsible practices are paramount, security mitigating bias prevent discriminatory practices. Transparency is collected used builds trust consumers, mutually beneficial relationship. Looking ahead, Imagine Chat bot offering product recommendations real-time, or virtual reality experiences tailored lies creating genuine connections provides tools personalize journey at every touch point. navigating landscape prioritizing crucial consumers. Keywords: (AI), Personalized Marketing, Customer Engagement, Data, Marketing Strategy.

Language: Английский

Citations

50

Theoretical frameworks in AI for credit risk assessment: Towards banking efficiency and accuracy DOI Creative Commons

Tolulope Esther Edunjobi,

Opeyemi Abayomi Odejide

International Journal of Scientific Research Updates, Journal Year: 2024, Volume and Issue: 7(1), P. 092 - 102

Published: March 26, 2024

This paper delves into theoretical frameworks in AI for credit risk assessment, exploring how these enhance banking efficiency and accuracy. It discusses various techniques such as machine learning algorithms, neural networks, natural language processing, their application assessment. Furthermore, it examines the challenges opportunities presented by frameworks, highlighting potential to revolutionize sector. Revolutionizing Credit Risk Assessment Banking, The Role of Artificial Intelligence In dynamic realm finance, assessment stands a fundamental pillar institutions. Traditionally, this process has heavily relied on statistical models historical data. However, emergence (AI) catalyzed transformative shift domain. elucidates underpinnings employed investigates profound implications enhancing accuracy operations. exploration begins delineating pertinent Leveraging processing techniques, offer innovative approaches evaluate creditworthiness. Unlike conventional methods, AI-driven possess capacity ingest vast datasets, identify intricate patterns, adapt dynamically evolving market dynamics. Such capabilities empower banks make more informed timely decisions regarding lending activities. Moreover, practical Through case studies empirical evidence, advanced methodologies enable mitigate risks while maximizing profitability. By harnessing AI, financial institutions can optimize scoring processes, defaulters with greater accuracy, customize terms based individual profiles. Additionally, facilitates real-time monitoring portfolios, allowing proactive management interventions prevent adverse outcomes.

Language: Английский

Citations

46

FINANCIAL LAW: POLICY FRAMEWORKS FOR REGULATING FINTECH INNOVATIONS: ENSURING CONSUMER PROTECTION WHILE FOSTERING INNOVATION DOI Creative Commons

Etinosa Igbinenikaro,

Adefolake Olachi Adewusi

Finance & Accounting Research Journal, Journal Year: 2024, Volume and Issue: 6(4), P. 515 - 530

Published: April 7, 2024

The proliferation of fintech innovations has necessitated the development comprehensive regulatory frameworks to uphold consumer protection standards while fostering an environment conducive technological advancement. This paper delves into intricate policy landscapes governing innovations, with a primary focus on striking delicate equilibrium between safeguarding interests and nurturing innovation. By conducting in-depth analysis global approaches, including variations across jurisdictions pivotal roles governmental bodies, this study explores measures aimed at fortifying protection. These encompass spectrum strategies, ranging from stringent disclosure requirements robust privacy safeguards implementation anti-money laundering (AML) know your customer (KYC) protocols. Furthermore, examines mechanisms for resolving complaints ensuring accountability within sector. Moreover, investigates various avenues innovation framework, such as establishment sandboxes promotion collaborative endeavors authorities industry stakeholders. Through examination pertinent case studies, highlights both successful interventions challenges encountered in regulating innovations. insights culminate series actionable recommendations tailored policymakers, navigating evolving landscape regulation. Additionally, offers projections future trends regulation, thereby equipping policymakers necessary foresight adapt dynamic nature ecosystem. Keywords: Financial Law, Policy, Frameworks, Fintech Innovations, Consumer Protection, Fostering Innovation.

Language: Английский

Citations

46

DEVELOPING INTERNATIONAL POLICY GUIDELINES FOR MANAGING CROSS-BORDER INSOLVENCIES IN THE DIGITAL ECONOMY DOI Creative Commons

Etinosa Igbinenikaro,

Adefolake Olachi Adewusi

International Journal of Management & Entrepreneurship Research, Journal Year: 2024, Volume and Issue: 6(4), P. 1034 - 1048

Published: April 7, 2024

The rapid growth of the digital economy has transformed global commerce, introducing new complexities and challenges, particularly in realm cross-border insolvencies. As businesses increasingly operate across national boundaries rely on assets data, traditional bankruptcy laws struggle to effectively address intricacies This review outlines need for developing international policy guidelines manage insolvencies economy. Cross-border present unique including jurisdictional conflicts, treatment coordination among diverse stakeholders. Existing legal frameworks, while providing some guidance, are often inadequate addressing these complexities. Thus, there is a pressing harmonized facilitate efficient fair resolution proposed aim achieve several objectives. Firstly, they advocate harmonization regulations jurisdictions provide clarity consistency insolvency proceedings. Secondly, call establishment framework recognizing enforcing foreign proceedings, ensuring equitable creditors Additionally, emphasize protection appropriate reflecting their growing importance economy. Implementation strategies include capacity building professionals, mechanisms dispute coordination, ongoing monitoring evaluation effectiveness. Case studies best practices will be utilized illustrate successful resolutions economy, offering valuable insights development replication. In conclusion, managing crucial promoting economic stability, facilitating safeguarding interests stakeholders an interconnected world. Keywords: Bankruptcy, Law, International Policy Guidelines, Cross-Border, Insolvencies, Digital Economy.

Language: Английский

Citations

39

DIGITAL BANKING AND FINANCIAL INCLUSION: A REVIEW OF PRACTICES IN THE USA AND NIGERIA DOI Creative Commons

Uchenna Innocent Nnaomah,

Samuel Aderemi,

David Olanrewaju Olutimehin

et al.

Finance & Accounting Research Journal, Journal Year: 2024, Volume and Issue: 6(3), P. 463 - 490

Published: March 28, 2024

This paper examines the role of digital banking in advancing financial inclusion United States and Nigeria, aiming to identify compare practices outcomes these two distinct economic contexts. Through a comprehensive review existing literature analysis case studies, study explores how platforms services have been implemented their impact on underserved populations. The research methodology includes comparative secondary data, policy documents, interviews with key stakeholders sector both countries. Key findings reveal that has significantly contributed by providing accessible, affordable, convenient services. In USA, technological advancements robust regulatory framework fostered competitive environment, leading innovative solutions for reducing barriers access. Conversely, despite facing infrastructural challenges, mobile payment seen rapid growth, driven necessity reach unbanked populations remote areas. concludes while countries made strides leveraging inclusion, success scale implementation vary due differences development, environments, infrastructure. It suggests cross-country learning adaptation best could further enhance effectiveness promoting globally. contributes understanding banking's potential bridging gap offers recommendations policymakers institutions developed developing Keywords: Digital Banking, Financial Inclusion, Regulatory Frameworks, Policy Initiatives, Mobile Money, Payment Systems, Sandboxes, National Inclusion Strategies, Consumer Protection, Stability, Cybersecurity, Literacy, Fintech Innovation.

Language: Английский

Citations

32

THE ROLE OF AI IN FINANCIAL MARKET DEVELOPMENT: ENHANCING EFFICIENCY AND ACCESSIBILITY IN EMERGING ECONOMIES DOI Creative Commons

Nneka Adaobi Ochuba,

Adetumi Adewumi,

David Olanrewaju Olutimehin

et al.

Finance & Accounting Research Journal, Journal Year: 2024, Volume and Issue: 6(3), P. 421 - 436

Published: March 28, 2024

The integration of Artificial Intelligence (AI) within financial markets has become increasingly pivotal, particularly in emerging economies where efficiency and accessibility remain significant challenges. This abstract explores how AI technologies are reshaping market development, with a specific focus on enhancing economies. facilitates automation routine tasks, predictive modeling, robust risk management, thereby streamlining operations reducing costs. Moreover, AI-driven solutions democratize services, offering personalized advice expanding inclusion initiatives. Despite its transformative potential, challenges such as data privacy concerns, regulatory barriers, technological infrastructure limitations persist. By examining successful implementations case studies, this review underscores the importance collaborative efforts between public private sectors to overcome these Looking ahead, emphasizes need for policymakers develop conducive frameworks encourages stakeholders embrace sustainable development economies. Keywords: AI, Financial Market Development, Efficiency, Accessibility, Emerging Economies, Automation.

Language: Английский

Citations

24

Leveraging artificial intelligence for enhanced supply chain optimization DOI Creative Commons

Nsisong Louis Eyo-Udo

Open Access Research Journal of Multidisciplinary Studies, Journal Year: 2024, Volume and Issue: 7(2), P. 001 - 015

Published: April 6, 2024

This study provides a comprehensive review of the integration Artificial Intelligence (AI) into Supply Chain Management (SCM), focusing on its impact operational efficiency, strategic innovation, and sustainability. Employing systematic literature content analysis methodology, research synthesizes findings from peer-reviewed articles conference papers published between 2013 2023. The identifies key advancements in AI technologies, such as machine learning, natural language processing, robotics, their applications across various supply chain processes including demand forecasting, inventory management, logistics optimization. Key reveal that significantly enhances efficiency by improving decision-making, reducing costs, optimizing resource allocation. However, challenges data privacy concerns, ethical considerations, need for skilled personnel emerge critical factors influencing adoption SCM. future outlook AI-enhanced chains is promising, with potential further innovation resilience, albeit contingent upon addressing existing challenges. concludes recommendations practitioners policymakers, emphasizing importance fostering culture developing digital competencies, creating supportive regulatory frameworks integration. Directions include exploring long-term impacts sustainability, implications autonomous systems, interplay emerging technologies. contributes to academic discourse SCM, offering insights enhancing operations age.

Language: Английский

Citations

24

The role of Blockchain technology in enhancing transparency and trust in green finance markets DOI Creative Commons

Ezekiel Onyekachukwu Udeh,

Prisca Amajuoyi,

Kudirat Bukola Adeusi

et al.

Finance & Accounting Research Journal, Journal Year: 2024, Volume and Issue: 6(6), P. 825 - 850

Published: June 6, 2024

This study explores the transformative potential of blockchain technology in green finance, aiming to assess how it enhances transparency, efficiency, and trust within sector. Employing a systematic literature review content analysis, research scrutinizes peer-reviewed journals, industry reports, case studies elucidate blockchain's impact on sustainable financial practices. The methodology focuses identifying benefits, challenges, strategic implications applications guided by specific inclusion exclusion criteria ensure relevance quality analyzed. Key findings reveal that significantly contributes transparency efficiency finance mechanisms, such as bonds sustainability-linked loans, providing immutable, transparent, secure transaction records. technological integration fosters among stakeholders, including investors, regulators, beneficiaries, addresses traditional challenges faced lack high costs. underscores role catalyst for change future advocating development supportive regulatory frameworks international collaboration fully harness its potential. Finally, offers recommendations enhancing through identifies areas research, exploration emerging technologies socio-economic finance. ongoing discourse leveraging advance environmental sustainability goals Keywords: Blockchain Technology, Green Finance, Transparency Trust, Sustainable Financial Practices.

Language: Английский

Citations

24