AI in Finance: Innovative Approaches for Sustainable Business Models DOI Open Access
Cedric Bartelt, Alexander Maximilian Röser

E-conom, Journal Year: 2024, Volume and Issue: 13(2), P. 98 - 118

Published: Oct. 26, 2024

Artificial Intelligence (AI) is increasingly recognized as a transformative force driving sus-tainable business innovation in the financial sector. This study conducts methodological meta-analysis of existing research to examine AI’s role advan-cing sustainable finance. By systematically reviewing and synthesizing literature from peer-reviewed journals, industry reports, academic sources, this focuses on AI applications such machine learn-ing neural networks that support environmental, social, governance (ESG) objec-tives. Key include AI-driven forecasting, risk management, auto-mated reporting systems enhance transparency facilitate green finance initiatives. Each selected was rigorously evaluated for quality relevance ensure robust findings. The analysis identifies recurring themes, challenges, gaps current literature, with an emphasis ethical considerations regula-tory compliance. provides insights into how can improve decision-making processes by integrat-ing sustainability indicators, thus fostering long-term value creation findings underscore strategic importance achieving goals offer foundation future inno-vation JEL-codes: O33, C18, G21, Q01, D83

Language: Английский

Integrative strategies for zoonotic disease surveillance: A review of one health implementation in the United States DOI Creative Commons

Olumuyiwa Tolulope Ojeyinka,

Toritsemogba Tosanbami Omaghomi

World Journal of Biology Pharmacy and Health Sciences, Journal Year: 2024, Volume and Issue: 17(3), P. 075 - 086

Published: March 9, 2024

Zoonotic diseases pose significant public health threats worldwide, highlighting the need for effective surveillance strategies. The One Health approach, which recognizes interconnection between human, animal, and environmental health, has gained traction as a comprehensive framework addressing zoonotic disease surveillance. This review explores integrative strategies in United States, focusing on implementation of principles. examines collaborative efforts human animal sectors, agencies, other relevant stakeholders implementing It highlights importance data sharing, communication, coordination among these sectors to enhance early detection, rapid response, control diseases. Key findings include establishment cross-sectoral systems, such National Notifiable Diseases Surveillance System (NNDSS) Animal Monitoring (NAHMS), facilitate collection analysis data. These systems enable identification emerging targeted interventions mitigate risks. also discusses role technology, geographic information (GIS) molecular epidemiology, enhancing tools visualization patterns tracking transmission pathways, aiding development Challenges limited resources, fragmented regulatory barriers. Addressing challenges requires increased investment infrastructure, capacity building, policy support integrated approaches. Overall, this underscores continued collaboration innovation effectiveness States.

Language: Английский

Citations

18

Wildlife as sentinels for emerging zoonotic diseases: A review of surveillance systems in the USA DOI Creative Commons

Olumuyiwa Tolulope Ojeyinka,

Toritsemogba Tosanbami Omaghomi

World Journal of Advanced Research and Reviews, Journal Year: 2024, Volume and Issue: 21(3), P. 768 - 776

Published: March 11, 2024

Wildlife plays a crucial role as sentinels for emerging zoonotic diseases, serving early indicators of potential threats to human and animal health. This review examines the surveillance systems in USA that utilize wildlife presence pathogens. The focuses on methodologies, challenges, implications these systems. In USA, diseases is primarily conducted through passive surveillance, where carcasses are collected tested Additionally, active programs target specific species known host pathogens or may be close contact with humans domestic animals. These efforts complemented by use sentinel species, such birds bats, which monitored signs disease could indicate Challenges include vast geographic range many making it difficult sample populations comprehensively. diversity habitats presents logistical challenges efforts. Furthermore, there related data sharing coordination among agencies responsible public health policy practice significant. Early detection can lead timely interventions, vaccination campaigns changes land practices reduce human-wildlife contact. Moreover, inform development predictive models outbreaks, enabling more effective preparedness response measures. conclusion, critical monitoring USA. Continued investment research essential enhance our understanding dynamics improve ability protect

Language: Английский

Citations

15

Innovative teaching methodologies in the era of artificial intelligence: A review of inclusive educational practices DOI Creative Commons

Olabisi Oluwakemi Adeleye,

Chima Abimbola Eden,

Idowu Sulaimon Adeniyi

et al.

World Journal of Advanced Engineering Technology and Sciences, Journal Year: 2024, Volume and Issue: 11(2), P. 069 - 079

Published: March 13, 2024

Artificial intelligence (AI) is revolutionizing the field of education, offering new opportunities to enhance learning experiences and promote inclusive educational practices. This review explores impact AI on teaching methodologies its role in creating environments. By examining current research practices, this highlights potential address diverse needs equity education.The begins by discussing personalized learning, where algorithms analyze student data provide tailored instruction feedback. approach allows educators cater individual styles preferences, ensuring that all students have access high-quality education. Additionally, AI-driven adaptive systems can identify gaps, providing targeted interventions support who may be struggling. Furthermore, use facilitating collaborative environments, work together projects tasks. technologies collaboration tools for communication, coordination, knowledge sharing. promotes inclusivity allowing contribute their unique perspectives skills group projects. The also discusses promoting accessibility with disabilities. AI-powered assistive additional accommodations, disabilities fully participate activities. captioning translation improve are deaf or hard hearing, as well those speak languages other than primary language instruction. Overall, transformative education ability leveraging technologies, create more personalized, collaborative, accessible opportunity succeed.

Language: Английский

Citations

13

Artificial intelligence and corporate ESG performance DOI
Cong Zhang, Jianhua Yang

International Review of Economics & Finance, Journal Year: 2024, Volume and Issue: 96, P. 103713 - 103713

Published: Nov. 1, 2024

Citations

6

The role of AI-enhanced tools in overcoming socioeconomic barriers in education: A conceptual analysis DOI Creative Commons

Chima Abimbola Edeni,

Olabisi Oluwakemi Adeleye,

Idowu Sulaimon Adeniyi

et al.

World Journal of Advanced Research and Reviews, Journal Year: 2024, Volume and Issue: 21(3), P. 944 - 951

Published: March 12, 2024

This conceptual analysis explores the transformative potential of AI-enhanced tools in addressing socioeconomic barriers within educational landscape. By leveraging artificial intelligence (AI) technologies, paper aims to examine how such can mitigate disparities arising from economic, social, and cultural factors. Through a critical analysis, it seeks elucidate role AI promoting equitable access, enhancing learning outcomes, fostering inclusivity education. The executive summary encapsulates essence analysis. It provides concise overview paper's objectives, methodology, expected implications. In recent years, intersection education has garnered significant attention as solution address persistent outlines imperative explore serve agents mitigating educators policymakers have opportunity revolutionize traditional practices foster more inclusive environments. highlights urgent need across diverse backgrounds. existing literature, case studies, empirical research, bridge digital divide advance equity. emphasizes importance identifying actionable strategies best for technology systemic inequalities

Language: Английский

Citations

4

Leveraging FinTech Innovations for Sustainable and Social Finance: A Comprehensive Analysis of Their Contributions to Social Impact Investment DOI
Faeyz Abuamria, Mousa Ajouz

Emerald Publishing Limited eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 245 - 264

Published: March 10, 2025

Language: Английский

Citations

0

AI Powered Gamification: The New Catalyst in the Arena of Online Investment Platforms Impacting Behavioral Intentions DOI
Dolly Gaur, Kanishka Gupta, Chandan Kumar Tiwari

et al.

International Journal of Human-Computer Interaction, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 17

Published: April 7, 2025

Language: Английский

Citations

0

Corporate investment in artificial intelligence: The role of GDP, ICT exports, and patents DOI Creative Commons
M. S. Rahman, Uttam Golder, P. L. Ghosh

et al.

Journal of Economics and Management, Journal Year: 2024, Volume and Issue: 46, P. 613 - 636

Published: Jan. 1, 2024

Aim/purpose – Despite the widespread use of artificial intelligence (AI) in fields as diverse finance, healthcare, and education, little is known about factors motivating its financing. This study investigates drivers influencing corporate investment AI using global data from 2013 to 2022, focusing on relationship between GDP growth, ICT goods exports, patent applications (AIPA), regulatory quality with investments. Design/methodology/approach Descriptive statistics ordinary least squares method were employed analyze aggregated data, identifying patterns rela- tionships among investment. Findings The findings reveal a significant positive AIPA, Conversely, was negative but not statistically significant. Thus, key our suggest that economic pa- tents, technological advancements are Research implications suggests policymakers should prioritize national enhance IT ecosystem by promoting en- courage innovation through patents. Collaboration legislators essential develop balanced regulations minimize impacts financ- ing. By strategically aligning investments favorable conditions, busi- nesses can drive sustainable respond evolving market demands effectively, secure long-term financial stability. Originality/value/contribution existing literature contains information current state potential for development world specific nation. tries explore determinants influ- encing obtain comprehensive understanding this industry growth. Keywords: intelligence, AI, investment, GDP, ICT, quality. JEL Classification: F30, F62, F63, F65.

Language: Английский

Citations

2

The Role of Artificial Intelligence in Promoting the Environmental, Social and Governance (ESG) Practices DOI

Mushtaq Taleb,

Hussein Jawad Kadhum

Lecture notes in networks and systems, Journal Year: 2024, Volume and Issue: unknown, P. 256 - 279

Published: Jan. 1, 2024

Language: Английский

Citations

1

AI in Finance: Innovative Approaches for Sustainable Business Models DOI Open Access
Cedric Bartelt, Alexander Maximilian Röser

E-conom, Journal Year: 2024, Volume and Issue: 13(2), P. 98 - 118

Published: Oct. 26, 2024

Artificial Intelligence (AI) is increasingly recognized as a transformative force driving sus-tainable business innovation in the financial sector. This study conducts methodological meta-analysis of existing research to examine AI’s role advan-cing sustainable finance. By systematically reviewing and synthesizing literature from peer-reviewed journals, industry reports, academic sources, this focuses on AI applications such machine learn-ing neural networks that support environmental, social, governance (ESG) objec-tives. Key include AI-driven forecasting, risk management, auto-mated reporting systems enhance transparency facilitate green finance initiatives. Each selected was rigorously evaluated for quality relevance ensure robust findings. The analysis identifies recurring themes, challenges, gaps current literature, with an emphasis ethical considerations regula-tory compliance. provides insights into how can improve decision-making processes by integrat-ing sustainability indicators, thus fostering long-term value creation findings underscore strategic importance achieving goals offer foundation future inno-vation JEL-codes: O33, C18, G21, Q01, D83

Language: Английский

Citations

0