The impact of a cause-effect elaboration procedure on information security risk perceptions: a construal fit perspective
Cybersecurity breaches are on the rise. Extant literature in the development of strategies to enhance IT users' online protective behaviours has neglected users' cognitive processing of cybersecurity risk information. This study demonstrates a cause-effect elaboration procedure based on th...
Saved in:
Main Authors: | , , |
---|---|
Other Authors: | |
Format: | Article |
Language: | English |
Published: |
2023
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/165419 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
id |
sg-ntu-dr.10356-165419 |
---|---|
record_format |
dspace |
spelling |
sg-ntu-dr.10356-1654192023-04-02T15:35:30Z The impact of a cause-effect elaboration procedure on information security risk perceptions: a construal fit perspective Goh, Zhang Hao Hou, Minzheng Cho, Hichang Wee Kim Wee School of Communication and Information Social sciences::Communication Risk Perceptions Cybersecurity Cybersecurity breaches are on the rise. Extant literature in the development of strategies to enhance IT users' online protective behaviours has neglected users' cognitive processing of cybersecurity risk information. This study demonstrates a cause-effect elaboration procedure based on the concept of construal fit to influence online users' cybersecurity risk perceptions. Using online experiments (N = 534), the construal fit between elaboration of causes vs effects of cybersecurity risks and perceived temporal distance (distant vs near) was manipulated. The results revealed that a construal fit between the elaboration of 'effects' (vs 'causes') and temporally 'near' (vs 'distant') cybersecurity risks enhanced users' risk perceptions, which in turn predicted protective behavioural intentions. Ensuring construal fit is a novel, cognition-based approach to safeguard IT users against online threats. Our findings enrich existing staged theories used to investigate cybersecurity risk perceptions and suggest to practitioners that heightened cyber risk perception can effectively be induced by simultaneously enhancing the concreteness of IT users' construal of cybersecurity incidents and emphasizing on its negative consequences (vs causes). Published version 2023-03-27T04:26:40Z 2023-03-27T04:26:40Z 2022 Journal Article Goh, Z. H., Hou, M. & Cho, H. (2022). The impact of a cause-effect elaboration procedure on information security risk perceptions: a construal fit perspective. Journal of Cybersecurity, 8(1), 1-11. https://dx.doi.org/10.1093/cybsec/tyab026 2057-2085 https://hdl.handle.net/10356/165419 10.1093/cybsec/tyab026 2-s2.0-85132445662 1 8 1 11 en Journal of Cybersecurity © The Author(s) 2022. Published by Oxford University Press. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. application/pdf |
institution |
Nanyang Technological University |
building |
NTU Library |
continent |
Asia |
country |
Singapore Singapore |
content_provider |
NTU Library |
collection |
DR-NTU |
language |
English |
topic |
Social sciences::Communication Risk Perceptions Cybersecurity |
spellingShingle |
Social sciences::Communication Risk Perceptions Cybersecurity Goh, Zhang Hao Hou, Minzheng Cho, Hichang The impact of a cause-effect elaboration procedure on information security risk perceptions: a construal fit perspective |
description |
Cybersecurity breaches are on the rise. Extant literature in the development of strategies to enhance IT users' online protective behaviours has neglected users' cognitive processing of cybersecurity risk information. This study demonstrates a cause-effect elaboration procedure based on the concept of construal fit to influence online users' cybersecurity risk perceptions. Using online experiments (N = 534), the construal fit between elaboration of causes vs effects of cybersecurity risks and perceived temporal distance (distant vs near) was manipulated. The results revealed that a construal fit between the elaboration of 'effects' (vs 'causes') and temporally 'near' (vs 'distant') cybersecurity risks enhanced users' risk perceptions, which in turn predicted protective behavioural intentions. Ensuring construal fit is a novel, cognition-based approach to safeguard IT users against online threats. Our findings enrich existing staged theories used to investigate cybersecurity risk perceptions and suggest to practitioners that heightened cyber risk perception can effectively be induced by simultaneously enhancing the concreteness of IT users' construal of cybersecurity incidents and emphasizing on its negative consequences (vs causes). |
author2 |
Wee Kim Wee School of Communication and Information |
author_facet |
Wee Kim Wee School of Communication and Information Goh, Zhang Hao Hou, Minzheng Cho, Hichang |
format |
Article |
author |
Goh, Zhang Hao Hou, Minzheng Cho, Hichang |
author_sort |
Goh, Zhang Hao |
title |
The impact of a cause-effect elaboration procedure on information security risk perceptions: a construal fit perspective |
title_short |
The impact of a cause-effect elaboration procedure on information security risk perceptions: a construal fit perspective |
title_full |
The impact of a cause-effect elaboration procedure on information security risk perceptions: a construal fit perspective |
title_fullStr |
The impact of a cause-effect elaboration procedure on information security risk perceptions: a construal fit perspective |
title_full_unstemmed |
The impact of a cause-effect elaboration procedure on information security risk perceptions: a construal fit perspective |
title_sort |
impact of a cause-effect elaboration procedure on information security risk perceptions: a construal fit perspective |
publishDate |
2023 |
url |
https://hdl.handle.net/10356/165419 |
_version_ |
1764208085666103296 |