Wait, Is This Dangerous For Me? Consumers’ Reactions to Data Breaches That Pose (No) Risk to Them

Data breaches lead to various negative reactions by consumers. However, prior research often is not explicit about if and how the studied consumers are affected by the data breach. For example, social media studies generally investigate the general sentiment by a large population of consumers, many of whom may not have a relationship with the breached company or be at risk from the breach, whereas compensation studies often investigate reactions by people who could be breached personally and thus face a risk from the breach. This study elaborates on the differences between these groups and uses a scenario-based pilot experiment (n=95) to differentiate reactions by consumers to a risky breach that could personally affect them from those to a non-risky breach that could not. We also provide a benchmark to establish the effect of hearing about a data breach compared against a clean control group.

Publication Details

Journal
Journal of the Association for Information Systems
Published
2024-12-15
Primary Topic
Geological Modeling and Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Wait, Is This Dangerous For Me? Consumers’ Reactions to Data Breaches That Pose (No) Risk to Them

Journal of the Association for Information Systems
Geological Modeling and Analysis
article

Wait, Is This Dangerous For Me? Consumers’ Reactions to Data Breaches That Pose (No) Risk to Them

article en

Abstract

Data breaches lead to various negative reactions by consumers. However, prior research often is not explicit about if and how the studied consumers are affected by the data breach. For example, social media studies generally investigate the general sentiment by a large population of consumers, many of whom may not have a relationship with the breached company or be at risk from the breach, whereas compensation studies often investigate reactions by people who could be breached personally and thus face a risk from the breach. This study elaborates on the differences between these groups and uses a scenario-based pilot experiment (n=95) to differentiate reactions by consumers to a risky breach that could personally affect them from those to a non-risky breach that could not. We also provide a benchmark to establish the effect of hearing about a data breach compared against a clean control group.

Journal of the Association for Information Systems
Openalex Percentile: Top 45%
Geological Modeling and Analysis
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.