The Effects of Artificial Intelligence on Oil Shocks: Evidence from a Wavelet-Based Quantile-on-Quantile Approach DOI

Pengchao He,

Nan Zhao

Review of Economic Assessment, Journal Year: 2024, Volume and Issue: 3(2), P. 56 - 71

Published: June 15, 2024

This study examines the effects of artificial intelligence on oil shocks (supply, demand, and risk shocks) across different time scales market conditions, using wavelet-based quantile-on-quantile approach. The empirical results have discovered that in short term, exerts significant negative impacts supply shocks, with these adverse gradually diminishing over time. Notably, begins to positively influence shock medium long term. In contrast, demand is initially affected, but benefits diminish outcomes gained from this not only give policymakers valuable insights for developing more precise energy policies, also provide investors nuanced perspectives assessments.

Language: Английский

Applications of Artificial Intelligence in Contemporary Sociology DOI
Guillermo Alfredo Jiménez Pérez, José Manuel Hernández de la Cruz

LatIA, Journal Year: 2024, Volume and Issue: 1, P. 12 - 12

Published: July 23, 2024

Language: Английский

Citations

7
Artificial Intelligence (AI) in the Financial Sector DOI Creative Commons

Ririn Riani

Digital Economics Review., Journal Year: 2024, Volume and Issue: 1(1)

Published: March 26, 2024

This study aims to see the development of research on topic "AI Finance" and plans that can be carried out based journals published theme. uses qualitative method with bibliometric analysis approach. The data used is secondary theme which comes from Dimension database a total 127 journal articles. Then, processed analyzed using VosViewer application aim knowing map in world. results found author mapping authors who most were Bhattacharjee A; Al-Gasaymeh A.S; Arakpogun E.O; Wang X; Sharma S; Arner D.W; Yang J; Krishna S.H; Khan Singh R; Bansal Raffinetti E; Marwala T. Furthermore, keyword mapping, there are 5 clusters words development; challenge, accounting, opportunity, economy, blockchain, use. path topics related AI Finance Islamic Finance, Enterprise Development Behavioral Green AI, Access Accounting.

Language: Английский

Citations

5
Green Bonds Development in the Indian Markets DOI
Farhat Aziz Lone, Shalini Aggarwal, Manisha Paliwal

et al.

Advances in computational intelligence and robotics book series, Journal Year: 2025, Volume and Issue: unknown, P. 169 - 182

Published: April 18, 2025

Green bonds are an emerging financial instrument that offers potential to attract private investors. These fixed-income debt securities provide interest over a set period, after which the principal is repaid. The objective of paper understand types green bonds; Regulation Issue Bonds in India; Role and Importance Benefits Investing Bonds; Challenges for Market Measures Expanding India. To address challenges Indian market facilitate growth, recommendations include (a) establishing taxonomy standardizing reporting disclosures, (b) introducing fiscal policy levers, (c) implementing awareness-building measures, (d) adopting innovative issuance strategies.

Language: Английский

Citations

0
Artificial intelligence in industrial operations management: a bibliometric analysis DOI Creative Commons

E Nunes,

Américo Chalupa Ramos Pinto,

Inaray de Sousa Passos

et al.

Revista de Gestão e Secretariado (Management and Administrative Professional Review), Journal Year: 2024, Volume and Issue: 15(10), P. e4210 - e4210

Published: Oct. 7, 2024

Considering the exponential growth of research on Artificial Intelligence (AI) in industrial operations management, this study aims to map scientific landscape through a bibliometric analysis. The employed data from Web Science, focusing key terms such as "AI," "industrial operations," and "management." Using VOSviewer, co-occurrence networks citation analyses were generated identify trends gaps. results reveal significant contributions countries like United States China, emphasizing AI's role enhancing efficiency innovation industries. findings provide foundation for future practical implementation strategies operations.

Language: Английский

Citations

0
Building Carbon-Neutral Green HRM Resources Through the Use of Green Financing DOI
Γεωργία Ζουρνατζίδου,

George Sklavos,

Konstantina Ragazou

et al.

Advances in human resources management and organizational development book series, Journal Year: 2024, Volume and Issue: unknown, P. 219 - 242

Published: Oct. 31, 2024

Climate change affects several human activities, including corporate conduct. Simultaneously, finance and resources became essential competitive advantages for organizations. The evolution of management methods, green (GHRM), stemmed from the amalgamation these two components. use resource substantially impacts an organization's total performance, profitability, financial outcomes, productivity, market valuation. Consequently, they constitute a fundamental component academic research. This study aims to do comprehensive analysis existing research on management. Several indicated beneficial effect, but others revealed adverse influence. report outlines many instances in which thorough examination is possible, along with its benefits drawbacks. It highlights shortcomings literature, so delineating trajectory future ramifications

Language: Английский

Citations

0
A New Direction in Human Resources Management and ESG DOI

George Sklavos,

Georgios Theodosiou, Zacharias Papanikolaou

et al.

Advances in human resources management and organizational development book series, Journal Year: 2024, Volume and Issue: unknown, P. 329 - 352

Published: Oct. 31, 2024

This chapter delineates a strategic framework designed for professionals who seek to effectively incorporate Environmental, Social, and Governance (ESG) factors into their business models. As global consciousness regarding sustainability issues intensifies, organizations encounter mounting pressure implement practices that are consistent with ESG principles. The presented herein provides systematic methodology navigating this intricate landscape, utilizing integration enhance financial performance, mitigate risks, bolster reputation, promote stakeholder engagement. By conducting thorough assessment of pertinent issues, ensuring alignment strategy, establishing robust measurement reporting systems, engaging proactively, committing ongoing improvement, can strategically position sustained success in an increasingly dynamic market environment

Language: Английский

Citations

0
Sustainabilty, Green Financing, and Corporate Management DOI
Γεωργία Ζουρνατζίδου,

Dimitrios Farazakis,

George Sklavos

et al.

Advances in human resources management and organizational development book series, Journal Year: 2024, Volume and Issue: unknown, P. 191 - 218

Published: Oct. 31, 2024

Despite obstacles, private financial institutions in emerging markets and developing economies (EMDEs) have begun green sustainable lending. A survey of firms Emerging Markets Developing Economies found that parent companies local subsidiaries, foreign investors, other industry sectors (like re-insurers), DFIs drive initiatives, not new regulations, which are still most EMDEs. Uneven rules standards make EMDE operations varied. Enterprises' concern losing market share to conventionally financed competitors hinders fundraising. The “first mover disadvantage” slows adoption. Data capacity restrictions complicate finance taxonomies disclosures. Many EMDEs or taxonomies, but they lack granularity, breadth, data, expertise. Surveyors watched. Financial broad freedom identify communicate climate risks exposures. Disclosure gaps perpetuate “greenwashing” unfair competitiveness.

Language: Английский

Citations

0
Insights from Artificial Intelligence and Green Finance: A Bibliometric Analysis DOI
Muhammad Haroon Rasheed, Muhammad Shahid Rasheed

Palgrave studies in impact finance, Journal Year: 2024, Volume and Issue: unknown, P. 891 - 917

Published: Jan. 1, 2024

Language: Английский

Citations

0
The Effects of Artificial Intelligence on Oil Shocks: Evidence from a Wavelet-Based Quantile-on-Quantile Approach DOI

Pengchao He,

Nan Zhao

Review of Economic Assessment, Journal Year: 2024, Volume and Issue: 3(2), P. 56 - 71

Published: June 15, 2024

This study examines the effects of artificial intelligence on oil shocks (supply, demand, and risk shocks) across different time scales market conditions, using wavelet-based quantile-on-quantile approach. The empirical results have discovered that in short term, exerts significant negative impacts supply shocks, with these adverse gradually diminishing over time. Notably, begins to positively influence shock medium long term. In contrast, demand is initially affected, but benefits diminish outcomes gained from this not only give policymakers valuable insights for developing more precise energy policies, also provide investors nuanced perspectives assessments.

Language: Английский

Citations

0