Data-driven ESG strategy implementation through business intelligence /

"Using data-driven business intelligence is becoming essential for organizations seeking to align with ethical goals. By leveraging advanced analytics and predictive modeling, companies can transform companies with measurable outcomes. Business intelligence tools empower decision-makers to trac...

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Bibliographic Details
Other Authors:	Anastasiadou, Sofia (Editor), Liargovas, Panagiotis (Editor), Anastasiadis, Lazaros, 1966- (Editor), Seremeti, Lambrini (Editor), Komodromos, Markos (Editor)
Format:	eBook
Language:	English
Published:	Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) : IGI Global Scientific Publishing, 2026.
Subjects:	Social responsibility of business. Business enterprises > Environmental aspects. Industrial management > Environmental aspects. Sustainable development > Technological innovations. Business intelligence. Business ethics. Entreprises > Responsabilité sociale. Entreprises > Aspect de l'environnement. Gestion d'entreprise > Aspect de l'environnement. Développement durable > Innovations. Morale des affaires. Algorithm Modeling. Bioethical Tensions. Business Intelligence. Corporate Sustainability. Customer Engagement. Data Visualization. Financial Literacy. Financial Performance. Global Real Estate. Renewable Energy. Semantic Network. Smart Grid Analytics. Stakeholder Perception. Sustainable Energy.

Table of Contents:

Preface
Chapter 1. Transforming Corporate Sustainability: Integrating Advanced Analytics and Business Intelligence Into ESG Strategy Implementation
Chapter 2. ESG Strategy and Business Intelligence Semantic Network
Chapter 3. The Strategic Role of the Board of Directors in Driving Corporate Sustainability, Innovation, and Performance: Evidence From Greek Enterprises
Chapter 4. Strategic Business Resilience Affecting Green and Renewable Energy-Related Financial Literacy in Mexico
Chapter 5. Green and Renewable Energy Financial Literacy Affecting Economy, Society, and Governance (ESG) in Mexico
Chapter 6. Algorithmic Modeling of ESG Contingencies Using Intelligent Analytics and Predictive Parameterization of Corporate Risk
Chapter 7. Artificial Intelligence-Driven Business Intelligence for ESG Strategy Implementation: Enhancing Corporate Sustainability through Data-Driven Case Studies
Chapter 8. Data Visualization Methods for Clear Communication of ESG Analytics Findings
Chapter 9. Implementing Sentiment Analysis for Evaluating Stakeholder Perception and Social Impact
Chapter 10. Strategic CSR and Customer Engagement in ESG Dashboards: A Data-Driven Approach to SDG 12 Implementation
Chapter 11. AI-Powered Grid Analytics for Sustainable Energy Management in ESG Frameworks
Chapter 12. IoT-Enabled Smart Grid Analytics for Sustainable Energy ESG Reporting and Performance Optimization: A Business Intelligence Framework
Chapter 13. AI for ESG Compliance in Education: Exploring Bioethical Tensions and Institutional Responsibilities in Data-Driven Pedagogy
Chapter 14. Voluntary Sustainability Reporting and Financial Performance: Empirical Insights From the Global Real Estate Sector
Chapter 15. Exploring Student Attitudes Toward ESG Integration Through Business Intelligence Tools
Compilation of References
About the Contributors
Index.