Driver of User’s Security Behaviors: Avoidance or Motivation

As more companies move their services online, customers, not just employees, have become common targets for cyberattacks like viruses, worms, spoofing, phishing, and spyware attacks. Unlike employees, customers are not required to follow security rules, so it’s important to understand what motivates them to stay safe online. This study looks at two types of behavior: protection motivation (actively taking steps to stay safe) and threat avoidance (avoiding risky situations). We use ideas from Protection Motivation Theory, Threat Avoidance Theory, Social Cognitive Theory, and Habit Formation Theory to understand what influences these behaviors. The analysis of data collected through a survey shows that being familiar with cyberattacks increases a person’s confidence (self-efficacy), which helps them stay motivated to protect themselves and avoid threats. We also found that perceived effort or barriers make people less likely to take protective actions. This study helps improve both theory and training programs to support better cybersecurity habits.

Authors

Publication Details

Journal
ScholarSpace (University of Hawaii at Manoa)
Published
2025-12-23
Primary Topic
Information and Cyber Security
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Driver of User’s Security Behaviors: Avoidance or Motivation

Gunjan Batra, Botong Xue, Khawaja A. Saeed
ScholarSpace (University of Hawaii at Manoa)
Information and Cyber Security
article

Driver of User’s Security Behaviors: Avoidance or Motivation

Gunjan Batra, Botong Xue, Khawaja A. Saeed
article en

Abstract

As more companies move their services online, customers, not just employees, have become common targets for cyberattacks like viruses, worms, spoofing, phishing, and spyware attacks. Unlike employees, customers are not required to follow security rules, so it’s important to understand what motivates them to stay safe online. This study looks at two types of behavior: protection motivation (actively taking steps to stay safe) and threat avoidance (avoiding risky situations). We use ideas from Protection Motivation Theory, Threat Avoidance Theory, Social Cognitive Theory, and Habit Formation Theory to understand what influences these behaviors. The analysis of data collected through a survey shows that being familiar with cyberattacks increases a person’s confidence (self-efficacy), which helps them stay motivated to protect themselves and avoid threats. We also found that perceived effort or barriers make people less likely to take protective actions. This study helps improve both theory and training programs to support better cybersecurity habits.

ScholarSpace (University of Hawaii at Manoa)
Reduced inequalities
Openalex Percentile: Top 23%
Information and Cyber Security
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Driver of User’s Security Behaviors: Avoidance or Motivation — Gunjan Batra, Botong Xue, et al. · ScholarSpace (University of Hawaii at Manoa) (2025) | TGRS Research Map | TGRS