Work Overload and Insiders’ Risk Taking Behaviors as Threats to Cybersecurity
Start Date
October 2018
End Date
October 2018
Location
KC 460
Abstract
Increasing the number of security breaches caused by humans, scholars are interested in exploring contributed factors of information security threats. There are several studies regarding security violations by malicious insiders and intentional behaviors; however, studies which focus on important factors and antecedents of human’s unintentional misbehaviors are rare. To this end, we aim to investigate human traits which lead to unintentional information security misbehaviors. Particularly, we study individual’s risk-taking behavior by applying Dual System Theory (DST). We have developed a theoretical model to find how individuals’ risk-taking behavior relates to online information security misbehaviors. Our hypothesized model consists of 1) personal characteristics such as curiosity, self-confidence, and impulsivity that predicts individual’s risk-taking behavior which is associated with unintentional online risky behaviors; and 2) three effective moderators such as information security awareness, perceived work-overload, and gender differences on risk-taking behavior and online information security misbehaver relationship. Data will be collected through an online survey from business school students and among US individuals on Amazon Mechanical Turk. Our research model will be tested by implementing Structural Equation Modeling (SEM). The findings of this study can reveal some human-related factors which make individuals do simple unintentional misbehaviors.
Keywords: Information Security, Dual System Theory, Online Risky Behavior, SEM
Work Overload and Insiders’ Risk Taking Behaviors as Threats to Cybersecurity
KC 460
Increasing the number of security breaches caused by humans, scholars are interested in exploring contributed factors of information security threats. There are several studies regarding security violations by malicious insiders and intentional behaviors; however, studies which focus on important factors and antecedents of human’s unintentional misbehaviors are rare. To this end, we aim to investigate human traits which lead to unintentional information security misbehaviors. Particularly, we study individual’s risk-taking behavior by applying Dual System Theory (DST). We have developed a theoretical model to find how individuals’ risk-taking behavior relates to online information security misbehaviors. Our hypothesized model consists of 1) personal characteristics such as curiosity, self-confidence, and impulsivity that predicts individual’s risk-taking behavior which is associated with unintentional online risky behaviors; and 2) three effective moderators such as information security awareness, perceived work-overload, and gender differences on risk-taking behavior and online information security misbehaver relationship. Data will be collected through an online survey from business school students and among US individuals on Amazon Mechanical Turk. Our research model will be tested by implementing Structural Equation Modeling (SEM). The findings of this study can reveal some human-related factors which make individuals do simple unintentional misbehaviors.
Keywords: Information Security, Dual System Theory, Online Risky Behavior, SEM
Comments
This is a work-in-progress paper.