{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,25]],"date-time":"2026-02-25T05:11:49Z","timestamp":1771996309030,"version":"3.50.1"},"reference-count":58,"publisher":"Emerald","issue":"1","license":[{"start":{"date-parts":[[2024,8,14]],"date-time":"2024-08-14T00:00:00Z","timestamp":1723593600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.emerald.com\/insight\/site-policies"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["DTA"],"published-print":{"date-parts":[[2025,1,14]]},"abstract":"<jats:sec><jats:title content-type=\"abstract-subheading\">Purpose<\/jats:title><jats:p>This study aims to provide measurable information that evaluates a company\u2019s ESG performance based on the conceptual connection between ESG, non-financial elements of a company and the UN Sustainable Development Goals (SDGs) for resolving global issues.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Design\/methodology\/approach<\/jats:title><jats:p>A novel data processing method based on the BERT is presented and applied to analyze the changes and characteristics of SDG-related ESG texts from companies\u2019 disclosures over the past decade. Specifically, ESG-related sentences are extracted from 93,277 Form 10-K filings disclosed between 2010 and 2022 and the similarity between these extracted sentences and SDGs statements is calculated through sentence transformers. A classifier is created by fine-tuning FinBERT, a financial domain-specific pre-trained language model, to classify the sentences into eight ESG classes.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Findings<\/jats:title><jats:p>The quantified results obtained from the classifier reveal several implications. First, it is observed that the trend of SDG-related ESG sentences shows a slow and steady increase over the past decade. Second, large-cap companies relatively have a greater amount of SDG-related ESG disclosures than small-cap companies. Third, significant events such as the COVID-19 pandemic greatly impact the changes in disclosure content.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Originality\/value<\/jats:title><jats:p>This study presents a novel approach to textual analysis using neural network-based language models such as BERT. The results of this study provide meaningful information and insights for investors in socially responsible investment and sustainable investment and suggest that corporations need a long-term plan regarding ESG disclosures.<\/jats:p><\/jats:sec>","DOI":"10.1108\/dta-01-2024-0065","type":"journal-article","created":{"date-parts":[[2024,8,13]],"date-time":"2024-08-13T01:59:16Z","timestamp":1723514356000},"page":"19-40","source":"Crossref","is-referenced-by-count":2,"title":["Assessing the alignment of\u00a0corporate ESG disclosures with the UN sustainable development goals: a BERT-based text analysis"],"prefix":"10.1108","volume":"59","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8521-4483","authenticated-orcid":false,"given":"Hyogon","family":"Kim","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8812-6286","authenticated-orcid":false,"given":"Eunmi","family":"Lee","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4063-6586","authenticated-orcid":false,"given":"Donghee","family":"Yoo","sequence":"additional","affiliation":[]}],"member":"140","published-online":{"date-parts":[[2024,8,14]]},"reference":[{"key":"key2025011207574261200_ref001","doi-asserted-by":"publisher","DOI":"10.1016\/j.cpa.2021.102309","article-title":"Connecting the COVID-19 pandemic, environmental, social and governance (ESG) investing and calls for \u2018harmonisation\u2019 of sustainability reporting","volume":"82","year":"2022","journal-title":"Critical Perspectives on Accounting"},{"issue":"2","key":"key2025011207574261200_ref002","doi-asserted-by":"publisher","first-page":"3565","DOI":"10.1111\/acfi.12712","article-title":"Analysis of corporate social disclosures of the apparel industry following crisis: an institutional approach","volume":"61","year":"2021","journal-title":"Accounting and Finance"},{"issue":"7","key":"key2025011207574261200_ref003","doi-asserted-by":"publisher","first-page":"1409","DOI":"10.1108\/CG-06-2020-0258","article-title":"ESG impact on performance of US S&P 500-listed firms","volume":"20","year":"2020","journal-title":"Corporate Governance"},{"issue":"3","key":"key2025011207574261200_ref004","doi-asserted-by":"publisher","first-page":"87","DOI":"10.2469\/faj.v74.n3.2","article-title":"Why and how investors use ESG information: evidence from a global survey","volume":"74","year":"2018","journal-title":"Financial Analysts Journal"},{"key":"key2025011207574261200_ref005","doi-asserted-by":"publisher","article-title":"NLP for SDG: measuring corporate alignment with the sustainable development goals","year":"2021","DOI":"10.2139\/ssrn.3874442"},{"key":"key2025011207574261200_ref006","doi-asserted-by":"publisher","article-title":"FinBERT: financial sentiment analysis with pre-trained language models","year":"2019","DOI":"10.48550\/arXiv.1908.10063"},{"key":"key2025011207574261200_ref007","doi-asserted-by":"publisher","first-page":"260","DOI":"10.1145\/3442442.3451375","article-title":"A comparison of pre-trained language models for multi-class text classification in the financial domain","year":"2021"},{"issue":"3","key":"key2025011207574261200_ref008","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s10551-022-05183-1","article-title":"Exploring the effectiveness of sustainability measurement: which ESG metrics will survive COVID-19?","volume":"185","year":"2022","journal-title":"Journal of Business Ethics"},{"issue":"4","key":"key2025011207574261200_ref009","doi-asserted-by":"publisher","first-page":"762","DOI":"10.1093\/rapstu\/raab005","article-title":"Is positive sentiment in corporate annual reports informative? 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