{"title":"Strategic AI disclosures and legitimacy: Impression management in UK FTSE100 annual reports","authors":"Nader Elsayed","doi":"10.1016/j.accinf.2025.100757","DOIUrl":null,"url":null,"abstract":"<div><div>By incorporating impression management strategies with legitimacy theory, this study investigates how UK FTSE100 corporations strategically communicate their AI disclosures to achieve, sustain, and/or restore legitimacy. It employs a mixed-methods content analysis to analyse textual AI data from the annual reports of 80 UK non-financial corporations listed in the FTSE100 index (2020 to 2023). Results reveal an increasing trend among UK corporations to disclose AI narratives. This study finds that FTSE100 corporations employ a blend of ‘assertive’ and ‘defensive’ impression management tactics in AI disclosures to influence stakeholder perceptions and maintain their legitimacy. Findings also indicate a significant post-crisis shift from defensive to assertive AI disclosures, underscoring how FTSE100 corporations strategically adapted their impression management tactics to reinforce pragmatic, moral, and cognitive legitimacy. This study contributes to the literature by demonstrating how impression‑management tactics shape AI legitimacy, offering practitioners strategies for transparent communication, informing legislators on ethical AI regulation, and enabling stakeholders to interpret AI disclosures as indicators of corporate conduct.</div></div>","PeriodicalId":47170,"journal":{"name":"International Journal of Accounting Information Systems","volume":"56 ","pages":"Article 100757"},"PeriodicalIF":6.0000,"publicationDate":"2025-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Accounting Information Systems","FirstCategoryId":"91","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1467089525000338","RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BUSINESS","Score":null,"Total":0}
引用次数: 0
Abstract
By incorporating impression management strategies with legitimacy theory, this study investigates how UK FTSE100 corporations strategically communicate their AI disclosures to achieve, sustain, and/or restore legitimacy. It employs a mixed-methods content analysis to analyse textual AI data from the annual reports of 80 UK non-financial corporations listed in the FTSE100 index (2020 to 2023). Results reveal an increasing trend among UK corporations to disclose AI narratives. This study finds that FTSE100 corporations employ a blend of ‘assertive’ and ‘defensive’ impression management tactics in AI disclosures to influence stakeholder perceptions and maintain their legitimacy. Findings also indicate a significant post-crisis shift from defensive to assertive AI disclosures, underscoring how FTSE100 corporations strategically adapted their impression management tactics to reinforce pragmatic, moral, and cognitive legitimacy. This study contributes to the literature by demonstrating how impression‑management tactics shape AI legitimacy, offering practitioners strategies for transparent communication, informing legislators on ethical AI regulation, and enabling stakeholders to interpret AI disclosures as indicators of corporate conduct.
期刊介绍:
The International Journal of Accounting Information Systems will publish thoughtful, well developed articles that examine the rapidly evolving relationship between accounting and information technology. Articles may range from empirical to analytical, from practice-based to the development of new techniques, but must be related to problems facing the integration of accounting and information technology. The journal will address (but will not limit itself to) the following specific issues: control and auditability of information systems; management of information technology; artificial intelligence research in accounting; development issues in accounting and information systems; human factors issues related to information technology; development of theories related to information technology; methodological issues in information technology research; information systems validation; human–computer interaction research in accounting information systems. The journal welcomes and encourages articles from both practitioners and academicians.