Heeding the Messenger: The Influence of Sender Characteristics on Security Message Compliance Intentions

ABSTRACT How security messages can be used to motivate information technology (IT) users' security behaviour has been of keen interest to IS research. To that end, studies have focused on the content of security messages; however, few studies have examined the influence of message senders. In this article, we build on social influence theory and integrate it with the concept of inferences of manipulative intent (IMI) to develop a model that examines how perceptions of sender characteristics—cybersecurity expertise, coercive power, and similarity—can yield positive and negative influence on message outcomes, captured in recipients' message compliance intentions. We test our model in four different studies using field and scenario experiments across three target populations: the general public, students, and employees. Perceived expertise, power, and similarity had similar effects among the general public and students: Perceived expertise was positively associated with message outcomes, but perceived power and similarity were negatively associated. In contrast, employees reacted differently from the general public and students in that they responded positively to perceived power, with perceived expertise and similarity having negligible effects. Across these three target populations, we found that participants reacted to senders high in perceived power and similarity with IMI, which reduced their message compliance intentions. Our results suggest that senders must be chosen carefully, depending on the target population, because selecting the wrong sender can increase the likelihood of a message being rejected.

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Publication Details

Journal
Information Systems Journal
Published
2025-09-22
DOI
https://doi.org/10.1111/isj.70013
Primary Topic
Information and Cyber Security
Type
article
Field-Weighted Citation Impact
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article

Heeding the Messenger: The Influence of Sender Characteristics on Security Message Compliance Intentions

Qin Weng, Sebastian Schuetz, Paul Benjamin Lowry, Jason Bennett Thatcher et al.
Information Systems Journal
Information and Cyber Security
article

Heeding the Messenger: The Influence of Sender Characteristics on Security Message Compliance Intentions

Qin Weng, Sebastian Schuetz, Paul Benjamin Lowry, Jason Bennett Thatcher, Gunjan Bansal
article en

Abstract

ABSTRACT How security messages can be used to motivate information technology (IT) users' security behaviour has been of keen interest to IS research. To that end, studies have focused on the content of security messages; however, few studies have examined the influence of message senders. In this article, we build on social influence theory and integrate it with the concept of inferences of manipulative intent (IMI) to develop a model that examines how perceptions of sender characteristics—cybersecurity expertise, coercive power, and similarity—can yield positive and negative influence on message outcomes, captured in recipients' message compliance intentions. We test our model in four different studies using field and scenario experiments across three target populations: the general public, students, and employees. Perceived expertise, power, and similarity had similar effects among the general public and students: Perceived expertise was positively associated with message outcomes, but perceived power and similarity were negatively associated. In contrast, employees reacted differently from the general public and students in that they responded positively to perceived power, with perceived expertise and similarity having negligible effects. Across these three target populations, we found that participants reacted to senders high in perceived power and similarity with IMI, which reduced their message compliance intentions. Our results suggest that senders must be chosen carefully, depending on the target population, because selecting the wrong sender can increase the likelihood of a message being rejected.

Information Systems Journal
Baylor University (US), University of Colorado Boulder (US), Ohio University (US), Virginia Tech (US)
Openalex Percentile: Top 62%
Information and Cyber Security
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