Please use this identifier to cite or link to this item:
http://dx.doi.org/10.25673/116099
Title: | Should I really do that? : using quantile regression to examine the impact of sanctions on information security policy compliance behavior |
Author(s): | Hengstler, Sebastian Kühnel, Stephan Masuch, Kristin Nastjuk, Ilja Trang, Simon Thanh-Nam |
Issue Date: | 2023 |
Type: | Article |
Language: | English |
Abstract: | Deterrence theory is one of the most commonly used theories to study information security policy non-compliance behavior. However, the results of studies in the information security field are ambiguous. To further address this heterogeneity, various influencing factors have been considered in the context of deterrence theory. However, a current challenge with these findings is that recent studies that quantitatively assess the effectiveness of deterrence have relied predominantly on methods that analyze the underlying data, starting from a regression-based approach. By applying quantile regression, we estimate the overall effect of deterrents, and uncover how their effect differs among employees with different inclinations toward ISP compliance behavior – a critical insight for determining security measures for specific employee groups. Based on longitudinal data gathered in the U.S., our findings show significantly different effects in the analyzed quantiles for both aspects of sanctions, namely certainty and severity. |
URI: | https://opendata.uni-halle.de//handle/1981185920/118055 http://dx.doi.org/10.25673/116099 |
Open Access: | Open access publication |
License: | (CC BY 4.0) Creative Commons Attribution 4.0 |
Journal Title: | Computers & security |
Publisher: | Elsevier Science |
Publisher Place: | Amsterdam [u.a.] |
Volume: | 133 |
Original Publication: | 10.1016/j.cose.2023.103370 |
Page Start: | 1 |
Page End: | 8 |
Appears in Collections: | Open Access Publikationen der MLU |
Files in This Item:
File | Description | Size | Format | |
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1-s2.0-S0167404823002808-main.pdf | 486.03 kB | Adobe PDF | View/Open |