与网络安全风险披露相关的创新和新颖研究数据集:一份研究报告

IF 7.3 2区管理学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

European Journal of Information Systems Pub Date : 2023-05-24 DOI:10.2308/isys-2022-065

Thomas G. Calderon, Lei Gao

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引用次数: 0

摘要

本研究报告描述了由Gao, Calderon, and Tang(2020)和Calderon and Gao(2021)开发和使用的创新数据集，以检查网络安全风险披露。我们的创新数据集和现代文本分析方法使我们能够开发有趣的见解，并确定上市公司面临的网络安全风险披露的各种模式。我们相信，研究人员可以从我们的数据和方法中学习，并进一步为企业信息披露，特别是网络安全风险的文献做出贡献。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Innovative and Novel Research Datasets Related to Cybersecurity Risk Disclosures: A Research Note

This research note describes an innovative dataset that was developed and used by Gao, Calderon, and Tang (2020) and Calderon and Gao (2021) to examine cybersecurity risk disclosures. Our innovative dataset and contemporary text analytics methodology allowed us to develop interesting insights and identify various patterns in the disclosure of cybersecurity risks that publicly traded companies face. We believe that researchers can learn from our data and methodology, and contribute further to the literature on corporate disclosure in general and cybersecurity risks in particular.

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来源期刊

European Journal of Information Systems 工程技术-计算机：信息系统

CiteScore

23.10

自引率

4.20%

发文量

审稿时长

>12 weeks

期刊介绍： The European Journal of Information Systems offers a unique European perspective on the theory and practice of information systems for a global readership. We actively seek first-rate articles that offer a critical examination of information technology, covering its effects, development, implementation, strategy, management, and policy.