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

Comments

This is a work-in-progress paper.

Share

COinS
 
Oct 20th, 10:30 AM Oct 20th, 10:55 AM

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

 

To view the content in your browser, please download Adobe Reader or, alternately,
you may Download the file to your hard drive.

NOTE: The latest versions of Adobe Reader do not support viewing PDF files within Firefox on Mac OS and if you are using a modern (Intel) Mac, there is no official plugin for viewing PDF files within the browser window.