Factors Affecting Consumer Confidence After a Cybercrime Incident and Evaluation of Recovery Measures by Financial Institutions

Objective: This study aims to explore the factors that influence consumer trust in financial institutions after a cybercrime incident and evaluate the steps taken by financial institutions to restore that trust. Research Design & Methods: This research uses a qualitative method with a literature review approach. Data was collected from various sources, including academic journals, industry reports, and news articles relating to consumer trust, cybercrime, and recovery measures taken by financial institutions. Analysis was conducted thematically to identify key factors and the effectiveness of recovery measures. Findings: The results show that consumer trust is strongly influenced by data security, the financial institution's rapid response to incidents, the institution's reputation before the incident, and the implementation of modern security technologies. Proactive communication and consumer protection programs proved effective in rebuilding trust. Implications: The findings provide insights for financial institutions on the importance of implementing strong security measures, communicating transparently with consumers, and investing in the latest technology to restore trust after a cybercrime incident. Contribution: This research contributes to the literature on consumer trust in the financial sector by identifying the key factors that influence the restoration of trust following a cybercrime incident. The findings also offer practical recommendations for financial institutions to enhance their relationships with consumers in the digital age.

Authors

Institutions

Publication Details

Journal
Journal of Business Crime
Published
2025-02-17
DOI
https://doi.org/10.70764/gdpu-jbc.2025.1(1)-04
Primary Topic
Technology and Data Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Factors Affecting Consumer Confidence After a Cybercrime Incident and Evaluation of Recovery Measures by Financial Institutions

Rahajeng Cahyaning Putri Cipto
Journal of Business Crime
Technology and Data Analysis
article

Factors Affecting Consumer Confidence After a Cybercrime Incident and Evaluation of Recovery Measures by Financial Institutions

Rahajeng Cahyaning Putri Cipto
article en

Abstract

Objective: This study aims to explore the factors that influence consumer trust in financial institutions after a cybercrime incident and evaluate the steps taken by financial institutions to restore that trust. Research Design & Methods: This research uses a qualitative method with a literature review approach. Data was collected from various sources, including academic journals, industry reports, and news articles relating to consumer trust, cybercrime, and recovery measures taken by financial institutions. Analysis was conducted thematically to identify key factors and the effectiveness of recovery measures. Findings: The results show that consumer trust is strongly influenced by data security, the financial institution's rapid response to incidents, the institution's reputation before the incident, and the implementation of modern security technologies. Proactive communication and consumer protection programs proved effective in rebuilding trust. Implications: The findings provide insights for financial institutions on the importance of implementing strong security measures, communicating transparently with consumers, and investing in the latest technology to restore trust after a cybercrime incident. Contribution: This research contributes to the literature on consumer trust in the financial sector by identifying the key factors that influence the restoration of trust following a cybercrime incident. The findings also offer practical recommendations for financial institutions to enhance their relationships with consumers in the digital age.

Journal of Business CrimeVol. 1(1)
Universitas Balikpapan (ID)
Openalex Percentile: Top 84%
Technology and Data 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.