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Full-Text Articles in Computer Engineering

A Monte-Carlo Analysis Of Monetary Impact Of Mega Data Breaches, Mustafa Canan, Omer Ilker Poyraz, Anthony Akil Jan 2021

A Monte-Carlo Analysis Of Monetary Impact Of Mega Data Breaches, Mustafa Canan, Omer Ilker Poyraz, Anthony Akil

Engineering Management & Systems Engineering Faculty Publications

The monetary impact of mega data breaches has been a significant concern for enterprises. The study of data breach risk assessment is a necessity for organizations to have effective cybersecurity risk management. Due to the lack of available data, it is not easy to obtain a comprehensive understanding of the interactions among factors that affect the cost of mega data breaches. The Monte Carlo analysis results were used to explicate the interactions among independent variables and emerging patterns in the variation of the total data breach cost. The findings of this study are as follows: The total data breach cost …


Learning From Digital Failures? The Effectiveness Of Firms’ Divestiture And Management Turnover Responses To Data Breaches, Gui-Deng Say, Gurneeta Vasudeva Jun 2020

Learning From Digital Failures? The Effectiveness Of Firms’ Divestiture And Management Turnover Responses To Data Breaches, Gui-Deng Say, Gurneeta Vasudeva

Research Collection Lee Kong Chian School Of Business

We examine whether firms learn from digital technology failures in the form of data breach events, based on the effectiveness of their failure responses. We argue that firms experiencing such technological failures interpret them broadly as organizational problems, and undertake unrelated divestitures and top management turnover to achieve better standardization and to remove dysfunctional routines. We test our hypotheses on unrelated subsidiary divestitures and chief technology officer (CTO) turnovers undertaken by 8,760 publicly traded U.S. firms that were at risk of experiencing data breaches in- volving the loss of personally identifiable information during the period 2005–2016. We find that data …