Bilgilendirme: Kurulum ve veri kapsamındaki çalışmalar devam etmektedir. Göstereceğiniz anlayış için teşekkür ederiz.
 

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

dc.contributor.author Şener, İ.
dc.contributor.author Balcıoğlu, Y.S.
dc.contributor.author Karapolatgil, A.A.
dc.date.accessioned 2025-09-05T15:56:35Z
dc.date.available 2025-09-05T15:56:35Z
dc.date.issued 2025
dc.description.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). en_US
dc.identifier.doi 10.24818/EA/2025/70/1032
dc.identifier.issn 1582-9146
dc.identifier.issn 2247-9104
dc.identifier.scopus 2-s2.0-105023858548
dc.identifier.uri https://doi.org/10.24818/EA/2025/70/1032
dc.language.iso en en_US
dc.publisher Bucharest University of Economic Studies Publishing House en_US
dc.relation.ispartof Amfiteatru Economic en_US
dc.rights info:eu-repo/semantics/openAccess en_US
dc.subject Lexical Analysis en_US
dc.subject Network Analysis en_US
dc.subject Sentiment Analysis en_US
dc.subject Sustainability Reporting en_US
dc.subject Text-Mining en_US
dc.subject Topic Modelling en_US
dc.title Beyond Compliance: Multi-Dimensional Text Mining Analysis of Corporate Sustainability Reporting en_US
dc.type Article en_US
dspace.entity.type Publication
gdc.author.id Karapolatgil, Ahmet Anil/0000-0003-4012-9514
gdc.author.scopusid 54389963600
gdc.author.scopusid 58091284000
gdc.author.scopusid 59139235100
gdc.bip.impulseclass C5
gdc.bip.influenceclass C5
gdc.bip.popularityclass C5
gdc.coar.access open access
gdc.coar.type text::journal::journal article
gdc.collaboration.industrial false
gdc.description.department Çankaya University en_US
gdc.description.departmenttemp [Şener] İrge, Çankaya Üniversitesi, Ankara, Turkey; [Balcıoğlu] Yavuz Selim, Doğuş Üniversitesi Istanbul, Istanbul, Turkey; [Karapolatgil] Ahmet Anıl, Azerbaijan State University of Economics (UNEC), Baku, Azerbaijan en_US
gdc.description.endpage 1051 en_US
gdc.description.issue 70 en_US
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
gdc.description.scopusquality Q1
gdc.description.startpage 1032 en_US
gdc.description.volume 27 en_US
gdc.description.woscitationindex Social Science Citation Index
gdc.description.wosquality Q2
gdc.identifier.openalex W4413266443
gdc.identifier.wos WOS:001551677900002
gdc.index.type WoS
gdc.index.type Scopus
gdc.oaire.accesstype GOLD
gdc.oaire.diamondjournal false
gdc.oaire.impulse 0.0
gdc.oaire.influence 2.4895952E-9
gdc.oaire.isgreen false
gdc.oaire.keywords sustainability reporting
gdc.oaire.keywords Economics as a science
gdc.oaire.keywords M14
gdc.oaire.keywords ddc:330
gdc.oaire.keywords sentiment analysis
gdc.oaire.keywords text-mining
gdc.oaire.keywords lexical analysis
gdc.oaire.keywords Q56
gdc.oaire.keywords network analysis
gdc.oaire.keywords topic modelling
gdc.oaire.keywords HB71-74
gdc.oaire.keywords C55
gdc.oaire.popularity 2.7494755E-9
gdc.oaire.publicfunded false
gdc.openalex.fwci 0.0
gdc.openalex.normalizedpercentile 0.36
gdc.openalex.toppercent TOP 10%
gdc.opencitations.count 0
gdc.plumx.mendeley 7
gdc.plumx.newscount 1
gdc.plumx.scopuscites 0
gdc.scopus.citedcount 0
gdc.virtual.author Şener, İrge
gdc.wos.citedcount 0
relation.isAuthorOfPublication 1f97103c-7b75-4063-9c28-d8324e98ca04
relation.isAuthorOfPublication.latestForDiscovery 1f97103c-7b75-4063-9c28-d8324e98ca04
relation.isOrgUnitOfPublication 9b4a8eed-e4b0-49f2-bcc6-6d23bcbf1218
relation.isOrgUnitOfPublication da4f5829-5e26-41bc-9c75-12779175bb39
relation.isOrgUnitOfPublication 0b9123e4-4136-493b-9ffd-be856af2cdb1
relation.isOrgUnitOfPublication.latestForDiscovery 9b4a8eed-e4b0-49f2-bcc6-6d23bcbf1218

Files