EconPapers    
Economics at your fingertips  
 

A Meta-Analysis of Deterrence Theory in Information Security Policy Compliance Research

Simon Trang () and Benedikt Brendel
Additional contact information
Simon Trang: University of Göttingen
Benedikt Brendel: University of Göttingen

Information Systems Frontiers, 2019, vol. 21, issue 6, No 6, 1265-1284

Abstract: Abstract Enforcing information security policies is a key concern of information security managers. To deter employees from deviant behavior, organizations often implement sanction mechanisms. However, evidence from research regarding the efficiency of such a deterrence approach has been mixed. Drawing on this inconsistency, this paper examines the applicability of deterrence theory in information security policy compliance research. It is argued that contextual and methodological moderators play a crucial role when conceptualizing deterrence theory in security studies. Applying a meta-analysis, the results suggest that sanctions have an overall effect on deviant behavior. However, the results also indicate that this relationship is dependent on the study’s context. Deterrence theory better predicts deviant behavior in malicious contexts, cultures with a high degree of power distance, and cultures with a high uncertainty avoidance. The meta-analysis also reveals no meaningful differences arising from the methodological context in terms of scenario-based and behavior-specific measurement.

Keywords: Information security policy; Compliance behavior; Deterrence theory; Meta-analysis (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (12)

Downloads: (external link)
http://link.springer.com/10.1007/s10796-019-09956-4 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:infosf:v:21:y:2019:i:6:d:10.1007_s10796-019-09956-4

Ordering information: This journal article can be ordered from
http://www.springer.com/journal/10796

DOI: 10.1007/s10796-019-09956-4

Access Statistics for this article

Information Systems Frontiers is currently edited by Ram Ramesh and Raghav Rao

More articles in Information Systems Frontiers from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-20
Handle: RePEc:spr:infosf:v:21:y:2019:i:6:d:10.1007_s10796-019-09956-4