Associate Editor: John D’Arcy

University of Delaware

Term: January 1, 2017 – December 31, 2021

Reviewer of the Year, 2014
Outstanding Associate Editor, 2019

Research Interests:

My research interests broadly include social, behavioral, and psychological issues pursuant to information systems (IS) at both the individual and organizational levels. Much of my research has been in the area of information security, with specific emphasis on individual and organizational factors that contribute to IT security behaviors (e.g., security policy compliance, computer abuse). I am also interested in firm level causes and consequences of IT security failures, such as data breaches, and more generally, “dark side” issues related to IT (e.g., cyberbullying, privacy concerns, addiction, deception, etc.).

  • Behavioral issues in information security
  • Information security management
  • Information technology risks
  • “Dark side” or negative consequences of IT

Methodological Interests:

  • Quantitative methods (survey techniques, experiments)
  • Structural equation modeling
  • Multilevel analysis
  • Panel data and econometric methods are increasingly becoming part of my research, although I am not as well versed in these approaches as those listed above.


Apart from my main research interests, I feel comfortable handling any paper that has a strong theoretical component and advances understanding of IS phenomena in this manner. I prefer novel theoretical perspectives as opposed to straightforward applications (or close derivatives) of well-known theories from other disciplines. However, I welcome papers that provide a well contextualized, IS-specific, theoretical contribution. I also expect studies to meet contemporary methodological standards. For example, for IS research addressing behavioral issues, it is now very rare for a study to be acceptable if it sources all of its data from a single cross-sectional survey. More rigorous methods are required. I am also interested in novel methodological approaches that provide new types of data and insights that help advance our understanding of important phenomena.