Disclosure of IT-related risk factors in corporate filings

IF 6.7 1区 计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Decision Support Systems Pub Date : 2025-01-25 DOI:10.1016/j.dss.2025.114403
Alfred Z. Liu , Angela Xia Liu , Kexin Zhao
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引用次数: 0

Abstract

This research investigates the disclosure of IT-related risk factors in U.S. public firms' periodic SEC filings. Drawing upon the Resource-Based View theory, we propose that a firm's IT capability determines the disclosure of its overall IT-related risk factors. We employ a machine learning-enhanced dictionary that captures emerging IT keywords from newly filed corporate reports to quantify the scope and specificity of such disclosures. Our findings indicate that IT capability enhances IT-related risk factor disclosures in general and specifically in response to adverse IT events, such as data breaches. We also find that disclosing IT-related risk factors reduces a firm's perceived risk and enhances its shareholder value. Our research underscores the critical yet under-researched role of IT capability in shaping disclosures of IT-related risk factors and highlights such disclosures' informational value to investors.
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来源期刊
Decision Support Systems
Decision Support Systems 工程技术-计算机:人工智能
CiteScore
14.70
自引率
6.70%
发文量
119
审稿时长
13 months
期刊介绍: The common thread of articles published in Decision Support Systems is their relevance to theoretical and technical issues in the support of enhanced decision making. The areas addressed may include foundations, functionality, interfaces, implementation, impacts, and evaluation of decision support systems (DSSs).
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