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

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Date

2025

Journal Title

Journal ISSN

Volume Title

Publisher

Bucharest University of Economic Studies Publishing House

Open Access Color

GOLD

Green Open Access

No

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Publicly Funded

No
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Average
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Average
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Average

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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 resource intensive 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. © 2025 The Author(s). This is an Open Access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. © 2025 The Author(s).

Description

Keywords

Lexical Analysis, Network Analysis, Sentiment Analysis, Sustainability Reporting, Text-Mining, Topic Modelling, sustainability reporting, Economics as a science, M14, ddc:330, sentiment analysis, text-mining, lexical analysis, Q56, network analysis, topic modelling, HB71-74, C55

Fields of Science

Citation

WoS Q

Q2

Scopus Q

Q1
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N/A

Source

Amfiteatru Economic

Volume

27

Issue

70

Start Page

1032

End Page

1051
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Scopus : 0

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Mendeley Readers : 7

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4

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Sustainable Development Goals

9

INDUSTRY, INNOVATION AND INFRASTRUCTURE
INDUSTRY, INNOVATION AND INFRASTRUCTURE Logo

12

RESPONSIBLE CONSUMPTION AND PRODUCTION
RESPONSIBLE CONSUMPTION AND PRODUCTION Logo

15

LIFE ON LAND
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