Artificial intelligence and corporate ESG performance

International Review of Financial Analysis, Journal Year: 2025, Volume and Issue: unknown, P. 104036 - 104036

Published: Feb. 1, 2025

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Leveraging Advanced Technologies for Efficient Project Management in Telecommunications

International Journal of Multidisciplinary Research and Growth Evaluation, Journal Year: 2025, Volume and Issue: 6(1), P. 318 - 327

Published: Jan. 1, 2025

In the fast-paced and highly competitive telecommunications industry, efficient project management is crucial to maintaining operational excellence achieving strategic objectives. Advanced technologies are increasingly being leveraged enhance practices, driving improvements in efficiency, accuracy, adaptability. This paper explores how cutting-edge tools methodologies revolutionizing telecommunications, leading more effective planning, execution, control of projects. One primary transforming Artificial Intelligence (AI). AI-powered enable managers automate routine tasks, optimize resource allocation, predict outcomes with greater accuracy. Machine learning algorithms analyze historical data identify patterns forecast potential risks, allowing proactively mitigate issues before they escalate. AI also facilitates real-time decision-making by providing actionable insights recommendations based on analytics. Another significant advancement adoption cloud computing platforms. These platforms provide scalable flexible solutions that support collaboration sharing across dispersed teams. Cloud-based seamless integration various functions, such as scheduling, budgeting, performance tracking, ensuring all stakeholders have access up-to-date information can collaborate effectively regardless their location. The Internet Things (IoT) making a substantial impact telecommunications. IoT devices sensors collect from network infrastructure field operations, valuable into system utilization. data-driven approach enhances accuracy planning monitoring, enabling use assets timely identification issues. Furthermore, blockchain technology explored for its improve transparency security processes. Blockchain's decentralized immutable ledger ensures securely recorded easily auditable, reducing risk fraud enhancing trust among stakeholders. conclusion, advanced AI, computing, IoT, sector. offer benefits terms collaboration, telecom companies manage complex projects stay rapidly evolving industry. By leveraging these tools, ensure successful delivery, use, achieve goals agility precision.

Language: Английский

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Evaluating sustainability reporting in SMEs: insights from an ethical cooperative bank’s approach

Journal of Global Responsibility, Journal Year: 2025, Volume and Issue: unknown

Published: March 6, 2025

Purpose This study aims to explore the integration of digital technologies in sustainability reporting practices for small and medium-sized enterprises (SMEs) through approach adopted by an Italian cooperative bank committed ethical finance. It employs a dual evaluation framework combining traditional financial assessments with rigorous socio-environmental evaluations (VSA, Value Sustainability Assessment) ensure SMEs meet high social environmental responsibility standards. Design/methodology/approach The mixed method, joining qualitative case quantitative correlation analysis. Studying data from 3,431 questionnaires semistructured interviews key figures their correlation. highlights role Artificial Intelligence (AI)-driven Environmental, Social Governance (ESG) rating systems automated reports providing real-time performance aligning Sustainable Development Goals (SDGs). Findings results demonstrate between higher ESG scores lower probability default (PD), showcasing benefits practices. Trained assessors tools enhance transparency, accountability decision-making SMEs. Originality/value advances literature on transformation emphasizing practical impact AI SMEs’ reporting. uniquely examines link stability.

Language: Английский

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Challenges and role of the accountant of the future

Herald of Economics, Journal Year: 2025, Volume and Issue: 1, P. 126 - 137

Published: April 7, 2025

Language: Английский

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Advancing financial inclusion and technological innovation through cutting-edge software engineering

Finance & Accounting Research Journal, Journal Year: 2024, Volume and Issue: 6(8), P. 1320 - 1348

Published: Aug. 3, 2024

Advancing financial inclusion and fostering technological innovation through cutting-edge software engineering are paramount in addressing the global disparities access to services. This paper explores critical role of revolutionizing sector, particularly enhancing for underserved populations. Financial inclusion, which ensures that individuals businesses have useful affordable products services, is a cornerstone economic development. Despite its importance, significant portion population remains unbanked or underbanked, primarily due limited traditional banking infrastructure. Technological innovation, driven by advancements engineering, presents transformative solution this challenge. Cutting-edge practices at forefront developing robust, scalable, secure solutions. Mobile applications, instance, leverage sophisticated architectures provide seamless services users remote areas. These applications facilitate various transactions, including money transfers, bill payments, savings, thereby integrating into formal system. Additionally, blockchain technology, underpinned advanced offers decentralized platform transactions. Blockchain's inherent transparency security features make it an ideal tool trust reducing fraud By enabling low-cost cross-border technology significantly contributes making accessible those previously excluded. Artificial Intelligence (AI) machine learning, powered algorithms, further enhance providing personalized AI-driven chatbots virtual assistants offer 24/7 customer support, ensuring constant guidance. Moreover, AI algorithms analyze user data tailored products, such as customized loan investment advice, meeting unique needs diverse users. promising potential, integration these technologies faces challenges, privacy navigating regulatory landscapes. However, strategic collaboration between institutions, providers, bodies, challenges can be mitigated. In conclusion, advancing not only bridges gap but also drives more inclusive economically empowered society. Keywords: Inclusion, Innovation, Advancing, Software Engineering, Cutting-Edge.

Language: Английский

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Unveiling the blackbox within ESG ratings' blackbox: Toward a framework for analyzing AI adoption and its impacts

Business Strategy & Development, Journal Year: 2024, Volume and Issue: 7(4)

Published: Nov. 19, 2024

Abstract Artificial intelligence (AI) is transforming entire industries at an unprecedented pace. Yet, established technology adoption theories offer limited tools for characterizing business AI integration and analyzing its effects. These primarily focus on the factors facilitating or hindering adoption, rather than patterns impacts. This paper introduces a novel conceptual framework to address this key gap applies it case of ESG rating industry. raters play pivotal role in sustainable finance, providing metrics that guide investment decisions globally. However, little known about extent nature their usage implications. Through mixed‐methods approach combining analysis job postings, patent filings, research publications, corporate websites, we examine among major raters. Our investigation explores specific technologies employed, functional applications, innovations developed, intensity integration, potential impacts raters' adoption. results reveal widespread growing across findings show extensively leverage Natural Language Processing streamline data collection, processing, analysis. Furthermore, they have pioneered Machine Learning significantly expand sustainability assessment capabilities various domains. mark considerable departure from prior academic gray literature characterized as having minimal use, prompting critical questions regarding implications technological transformation ratings' reliability, transparency, biases.

Language: Английский

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Enhancing environmental governance: A text-based artificial intelligence approach for project evaluation involvement

Environmental Impact Assessment Review, Journal Year: 2024, Volume and Issue: 110, P. 107707 - 107707

Published: Oct. 31, 2024

Language: Английский

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Role of Artificial Intelligence in Enhancing Sustainability Reporting and Green Accounting in Industry 4.0

Acta Marisiensis Seria Technologica, Journal Year: 2024, Volume and Issue: 21(2), P. 31 - 38

Published: Dec. 18, 2024

This study explores the role of artificial intelligence (AI) in enhancing sustainability reporting and green accounting within context Industry 4.0. By drawing on theory integrating emerging technologies, research addresses limitations traditional reporting, such as inefficiencies data collection, lack real-time feedback, resource constraints. AI, with its ability to automate processes, streamline analysis, provide continuous monitoring, offers a promising solution these challenges. The employs qualitative case studies demonstrate how AI-driven methods improve accuracy productivity reporting. Findings indicate that AI facilitates more effective utilization, provides insights, enhances data-driven decision-making, which collectively contribute sustainable business practices. paper concludes AI's integration into not only improves transparency accountability but also accelerates transition towards environmentally conscious operations digital age

Language: Английский

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AI in Finance: Innovative Approaches for Sustainable Business Models

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

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