Speak their Language : Designing Effective Messages to Improve Employees’ Information Security Decision Making
Abstract
Employee disinterest in information security remains one of the greatest impediments to
effective information security management programs. How can organizations enhance
the persuasiveness of the information security messages used to warn employees of
threats and encourage employees to take specific actions to improve their security?
We use fear appeal theory and the elaboration likelihood model to argue that security
messages presented using more personally relevant language are more likely to induce
employees to engage in the recommended protective security behaviors. Our strategy
uses organization identification theory to segment employees into two groups and then
develops security messages that use language aligned with each of the two segments.
We tested this strategy within a large U.S. organization, and found that employees were
more likely to consider and act upon messages that used language aligned with their
organizational identification than messages using language not aligned. The effect size
was large. Our results show that subtly changing less than a dozen words in the way
a security message was presented without changing its substantive content (e.g., using
“our” instead of “your”) has both significant and meaningful effects on how employees
think about and respond to it.
Main Authors
Format
Articles
Research article
Published
2019
Series
Subjects
Publication in research information system
Publisher
Wiley; Decision Sciences Institute
The permanent address of the publication
https://urn.fi/URN:NBN:fi:jyu-201904232239Use this for linking
Review status
Peer reviewed
ISSN
0011-7315
DOI
https://doi.org/10.1111/deci.12328
Language
English
Published in
Decision Sciences
Citation
- Johnston, A. C., Warkentin, M., Dennis, A. R., & Siponen, M. (2019). Speak their Language : Designing Effective Messages to Improve Employees’ Information Security Decision Making. Decision Sciences, 50(2), 245-284. https://doi.org/10.1111/deci.12328
Copyright© 2018 Decision Sciences Institute.