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Enterprise AI Analysis: Tracing the development of environmental, social and governance (ESG) performs: a systematic review and bibliometric analysis

Enterprise AI Analysis

Tracing the development of environmental, social and governance (ESG) performs: a systematic review and bibliometric analysis

This study systematically reviews the evolution of Environmental, Social, and Governance (ESG) research from 2012 to 2024, emphasizing key trends, influential factors, and the transformative impact of digital technologies like FinTech. It offers a comprehensive overview of how ESG practices have adapted in the digital era, providing critical insights for businesses, policymakers, and academics.

Executive Impact Overview

Key metrics from the research highlight the rapid growth and evolving focus of ESG scholarship, underscoring its increasing relevance in global business and policy.

0 Total Publications (2012-2024)
0 Top Citation Count
0.0 Avg. Annual Citations (2012-2024)
0 Key Authors Identified

Deep Analysis & Enterprise Applications

Select a topic to dive deeper, then explore the specific findings from the research, rebuilt as interactive, enterprise-focused modules.

Early research focusing on governance, sustainability frameworks, and initial discussions around climate change and corporate responsibility.

Initial ESG Research Trajectory (2012-2016)

Growing Importance of Governance & Sustainability
Early Climate Change Discussions
Corporate Responsibility Emphasis
Emerging FinTech Influence
64.88 Average Citations per Publication (2012)

The peak average citation rate in the early phase, indicating high foundational impact.

Increased focus on expanding sustainability disclosure practices, developing ESG frameworks, and integrating digital technologies into corporate governance.

ESG Reporting Evolution (2017-2020)

Aspect Pre-2017 Challenges 2017-2020 Improvements
Standardization
  • Lack of common reporting frameworks
  • Inconsistent data quality
  • Development of GRI guidelines
  • Increased regulatory pressures (e.g., EU NFRD)
Technology Integration
  • Limited use of digital tools
  • Manual data collection
  • Emergence of FinTech solutions
  • Early adoption of blockchain for traceability
Stakeholder Engagement
  • Reactive approach to investor demands
  • Limited transparency
  • Greater investor demand for transparency
  • Emphasis on corporate accountability
159 Publications in 2020 (Peak of this Period)

Demonstrates rapid growth in research volume during the accelerated adoption phase.

Emphasis on sustainability and innovation, deeper integration of ESG into corporate activities, and leveraging advanced digital technologies like AI and blockchain for improved performance.

Impact of FinTech on ESG Data Integrity

The period 2021-2024 saw significant advancements in leveraging blockchain technology to enhance ESG data integrity. Its immutable ledger ensures that reported sustainability data is verifiable and transparent, combating greenwashing concerns. Firms adopting these solutions demonstrate improved credibility and investor trust, moving towards more reliable ESG disclosures. This directly supports the need for robust data validation in financial and environmental reporting, a core challenge identified earlier.

261 Publications in 2023 (Highest Ever)

Indicates the highest volume of research in a single year, reflecting intense focus on advanced integration of ESG.

Future ESG Technology Integration

AI-Powered Data Analysis & Trend Prediction
Blockchain for Immutable ESG Reporting
Real-time Compliance Monitoring
Global ESG Taxonomy Standardization
Enhanced Cybersecurity for ESG Data

Calculate Your Potential ESG ROI

Understand the financial benefits of integrating advanced ESG practices and FinTech solutions into your enterprise.

Estimated Annual Savings $0
Annual Hours Reclaimed 0

Your ESG Digital Transformation Roadmap

A phased approach to integrate FinTech and advanced digital solutions for superior ESG performance and reporting.

Phase 1: ESG Data Infrastructure Assessment

Evaluate current data collection, reporting systems, and identify gaps for FinTech integration. Establish a baseline for ESG performance.

Phase 2: Blockchain & AI Pilot Implementation

Pilot blockchain for supply chain traceability and AI for preliminary ESG data analysis in a specific business unit. Train key personnel.

Phase 3: Scaled FinTech Integration & Framework Alignment

Expand FinTech solutions across the organization, aligning with global ESG standards (e.g., CSRD, SFDR). Develop real-time monitoring dashboards.

Phase 4: Continuous Optimization & Reporting

Regularly refine AI models, audit blockchain integrity, and publish transparent, digitally-verified ESG reports. Engage stakeholders with enhanced data.

Ready to Transform Your ESG Strategy?

Leverage cutting-edge FinTech and AI to achieve unparalleled transparency, efficiency, and impact in your environmental, social, and governance initiatives.

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