知识产权保护和企业数据泄露风险

IF 9.8 1区 经济学 Q1 BUSINESS, FINANCE
Yu Wang , Qin Wang
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引用次数: 0

摘要

本文利用2007 - 2022年中国上市公司的纵向数据集,考察了知识产权保护对企业数据泄露风险的影响,并探讨了其潜在机制。我们发现,IPP对企业数据泄露风险有负向影响,经过一系列敏感性测试,这一结论仍然成立。在机制方面,IPP通过提高数据保护意识和加强数据管理流程来降低数据泄露风险。异质性分析表明,IPP对企业数据泄露风险的负面影响在高科技企业、国有企业和有政治关系的企业中更为明显。我们的研究结果有助于更好地理解企业数据泄露的前因,并拓宽了对IPP影响的认识。此外,这些发现为企业制定主动风险缓解和数据安全战略提供了宝贵的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Intellectual property protection and corporate data-breach risks
Using a longitudinal dataset of Chinese listed firms from 2007 to 2022, this study investigates the impact of intellectual property protection (IPP) on corporate data-breach risks and explores the underlying mechanisms. We find that IPP negatively affects corporate data-breach risks, and this conclusion remains robust after a series of sensitivity tests. Regarding the mechanisms, IPP mitigates data-breach risks by enhancing data protection awareness and strengthening data management processes. The heterogeneity analysis reveals that the negative effect of IPP on corporate data-breach risks is more pronounced in high-tech firms, state-owned firms, and firms with political ties. Our findings contribute to a better understanding of the antecedents of corporate data breach and broaden the knowledge about the implications of IPP. Furthermore, these findings offer valuable insights into developing proactive risk mitigation and data security strategies for firms.
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来源期刊
CiteScore
10.30
自引率
9.80%
发文量
366
期刊介绍: The International Review of Financial Analysis (IRFA) is an impartial refereed journal designed to serve as a platform for high-quality financial research. It welcomes a diverse range of financial research topics and maintains an unbiased selection process. While not limited to U.S.-centric subjects, IRFA, as its title suggests, is open to valuable research contributions from around the world.
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