Beyond Compliance: Multi-Dimensional Text Mining Analysis of Corporate Sustainability Reporting

This study investigates how organisations respond to Corporate Sustainability Reporting Directive (CSRD) requirements through systematic analysis of corporate communications and sustainability reports.We employ multi-dimensional text mining analysis of 500 companies across 12 industries, using lexical analysis, sentiment analysis, and network analysis of sustainability reports (2022-2024) and corporate communications (1.200 documents) from TIME's Most Sustainable Companies ranking.Three distinct organisational response patterns emerge: compliance-oriented positioning (35%), transformation-oriented positioning (42%), and value-creation positioning (23%).Service-oriented sectors demonstrate positive sentiment (+0.67) toward CSRD implementation, while resourceintensive industries show negative sentiment (-0.14).The cross-country analysis reveals distinct national approaches reflecting institutional contexts.This study contributes the first large-scale text mining analysis of CSRD implementation responses, providing empirical evidence of heterogeneous organisational approaches to sustainability reporting beyond simple compliance frameworks.The multi-dimensional methodology enables systematic comparison across industries and countries, revealing sector-specific implementation patterns previously unidentified in sustainability reporting literature.Findings inform policymakers about industry-specific implementation challenges and demonstrate that regulatory framing significantly influences organisational strategic positioning toward sustainability reporting.

Authors

Publication Details

Journal
Amfiteatru Economic
Published
2025-08-01
DOI
https://doi.org/10.24818/ea/2025/70/1032
Citations
1
Primary Topic
Corporate Social Responsibility Reporting
Type
article
Field-Weighted Citation Impact
2.23
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Beyond Compliance: Multi-Dimensional Text Mining Analysis of Corporate Sustainability Reporting

Ahmet Anıl Karapolatgil, İrge Şener
1 citations
Amfiteatru Economic
Corporate Social Responsibility Reporting
2.23
article

Beyond Compliance: Multi-Dimensional Text Mining Analysis of Corporate Sustainability Reporting

Ahmet Anıl Karapolatgil, İrge Şener
article en
1 citations

Abstract

This study investigates how organisations respond to Corporate Sustainability Reporting Directive (CSRD) requirements through systematic analysis of corporate communications and sustainability reports.We employ multi-dimensional text mining analysis of 500 companies across 12 industries, using lexical analysis, sentiment analysis, and network analysis of sustainability reports (2022-2024) and corporate communications (1.200 documents) from TIME's Most Sustainable Companies ranking.Three distinct organisational response patterns emerge: compliance-oriented positioning (35%), transformation-oriented positioning (42%), and value-creation positioning (23%).Service-oriented sectors demonstrate positive sentiment (+0.67) toward CSRD implementation, while resourceintensive industries show negative sentiment (-0.14).The cross-country analysis reveals distinct national approaches reflecting institutional contexts.This study contributes the first large-scale text mining analysis of CSRD implementation responses, providing empirical evidence of heterogeneous organisational approaches to sustainability reporting beyond simple compliance frameworks.The multi-dimensional methodology enables systematic comparison across industries and countries, revealing sector-specific implementation patterns previously unidentified in sustainability reporting literature.Findings inform policymakers about industry-specific implementation challenges and demonstrate that regulatory framing significantly influences organisational strategic positioning toward sustainability reporting.

Amfiteatru EconomicVol. 27(70)
Industry, innovation and infrastructure
Openalex Percentile: Top 10%
Corporate Social Responsibility Reporting
2.23
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Beyond Compliance: Multi-Dimensional Text Mining Analysis of Corporate Sustainability Reporting — Ahmet Anıl Karapolatgil, İrge Şener · Amfiteatru Economic (2025) | TGRS Research Map | TGRS