Impact of Data Breach on IT Investment: Embracing Both Failure Learning and Threat Rigidity

现存分类群 业务 数据泄露 投资(军事) 背景(考古学) 投资决策 产业组织 财务 法学 行为经济学 政治学 计算机安全 政治 计算机科学 古生物学 进化生物学 生物
作者
Qian Wang,Chih-Hung Peng,Yong Jin,Shenyang Jiang
出处
期刊:Production and Operations Management [Wiley]
卷期号:34 (6): 1256-1275 被引量:4
标识
DOI:10.1177/10591478241277455
摘要

The extant literature has provided valuable insights into the post-failure behavior of organizations, highlighting two distinct tendencies: failure learning and threat rigidity. While failure learning involves organizations embracing change and seeking improvements after experiencing failures, threat rigidity leads to a more conservative and resistant approach to change during such times. In our study, we used a pioneering approach by integrating these seemingly competing perspectives within the context of data breaches. Employing a propensity score matching (PSM)-combined-difference-in-differences (DiD) approach, we uncovered a dual impact of data breaches on firms’ information technology (IT) investment—after data breaches, firms tend to increase their IT investment intensity (a promoting effect) while simultaneously reducing their new IT investments (an inhibiting effect). Furthermore, we found that a firm with a strong quality culture exhibits a stronger tendency to increase its IT investment intensity following a data breach, while a firm highly valuing innovation demonstrates a weaker trend in reducing new IT investments after a breach. In post hoc analyses, we found that the impact of data breaches on IT investments is contingent on a series of factors related to the nature of the breach and the specific type of IT investments considered. Overall, our study provides valuable insights into the complex and diverse relationship between data breaches and IT investments in firms.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1111111完成签到,获得积分10
1秒前
曦颜完成签到 ,获得积分10
1秒前
1秒前
三三发布了新的文献求助10
1秒前
1秒前
wwww发布了新的文献求助10
1秒前
轻松惜筠完成签到,获得积分10
2秒前
2秒前
3秒前
彼岸完成签到,获得积分10
3秒前
研友_pLw3vL发布了新的文献求助10
3秒前
Young完成签到,获得积分10
3秒前
科研小白发布了新的文献求助10
4秒前
HeWang发布了新的文献求助10
4秒前
Nia发布了新的文献求助10
4秒前
Akim应助wwww采纳,获得10
4秒前
4秒前
4秒前
5秒前
无花果应助133采纳,获得10
5秒前
JiangZaiqing发布了新的文献求助10
5秒前
6秒前
俊逸子默应助好好学习采纳,获得10
6秒前
6秒前
艳艳子完成签到,获得积分10
6秒前
平淡忻发布了新的文献求助10
7秒前
liying完成签到,获得积分10
7秒前
7秒前
军师完成签到,获得积分10
8秒前
8秒前
8秒前
研友_VZG7GZ应助取个名儿吧采纳,获得10
8秒前
迷人的月饼完成签到,获得积分10
8秒前
8秒前
科研通AI2S应助Kaen采纳,获得10
8秒前
8秒前
9秒前
吕佳蔚完成签到 ,获得积分10
9秒前
9秒前
友好的小馒头完成签到 ,获得积分10
9秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Translanguaging in Action in English-Medium Classrooms: A Resource Book for Teachers 700
Exploring Nostalgia 500
Natural Product Extraction: Principles and Applications 500
Exosomes Pipeline Insight, 2025 500
Qualitative Data Analysis with NVivo By Jenine Beekhuyzen, Pat Bazeley · 2024 500
Advanced Memory Technology: Functional Materials and Devices 400
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5667772
求助须知:如何正确求助?哪些是违规求助? 4887765
关于积分的说明 15121847
捐赠科研通 4826643
什么是DOI,文献DOI怎么找? 2584209
邀请新用户注册赠送积分活动 1538157
关于科研通互助平台的介绍 1496386