Methodological rigour in cybersecurity culture research: a systematic review

Purpose Cyberthreats are a global phenomenon, exposing societies to economic, social and political risks. The most effective strategy for combating cybercrimes is to adopt a robust cybersecurity governance framework. However, epistemological challenges associated with cyber governance impose significant methodological limitations on cybersecurity research. Thus, this study aims to assess the extent of methodological rigour in cybersecurity culture research through the lens of reporting transparency. Design/methodology/approach To address the identified problem, the authors conducted a systematic literature review following the Preferred Reporting Items for Systematic and Meta-analysis framework, analysing publications from 2015 to 2024 retrieved from two leading databases (Web of Science and Google Scholar). This scientific approach ensures the inclusion of high-quality studies and facilitates a comprehensive assessment of validity and reliability in cybersecurity culture research. Findings The findings show that none of the reviewed studies fulfilled all the criteria. Furthermore, the findings indicate that the area most in need of methodological reporting transparency is the data analysis and reporting dimension. Originality/value This study applies a structured framework to assess methodological rigour in cybersecurity research by evaluating reporting transparency across research design, data collection procedures and data analysis and reporting. It further proposes guidelines to improve the quality and reliability of future studies.

Authors

Institutions

Publication Details

Journal
Information and Computer Security
Published
2026-06-13
DOI
https://doi.org/10.1108/ics-12-2025-0538
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

Methodological rigour in cybersecurity culture research: a systematic review

Ibrahim Tanko Gampine, Kossi Kawedia Yakoubou, Marie-Emmanuelle Aurelien
Information and Computer Security
Information and Cyber Security
article

Methodological rigour in cybersecurity culture research: a systematic review

Ibrahim Tanko Gampine, Kossi Kawedia Yakoubou, Marie-Emmanuelle Aurelien
article en

Abstract

Purpose Cyberthreats are a global phenomenon, exposing societies to economic, social and political risks. The most effective strategy for combating cybercrimes is to adopt a robust cybersecurity governance framework. However, epistemological challenges associated with cyber governance impose significant methodological limitations on cybersecurity research. Thus, this study aims to assess the extent of methodological rigour in cybersecurity culture research through the lens of reporting transparency. Design/methodology/approach To address the identified problem, the authors conducted a systematic literature review following the Preferred Reporting Items for Systematic and Meta-analysis framework, analysing publications from 2015 to 2024 retrieved from two leading databases (Web of Science and Google Scholar). This scientific approach ensures the inclusion of high-quality studies and facilitates a comprehensive assessment of validity and reliability in cybersecurity culture research. Findings The findings show that none of the reviewed studies fulfilled all the criteria. Furthermore, the findings indicate that the area most in need of methodological reporting transparency is the data analysis and reporting dimension. Originality/value This study applies a structured framework to assess methodological rigour in cybersecurity research by evaluating reporting transparency across research design, data collection procedures and data analysis and reporting. It further proposes guidelines to improve the quality and reliability of future studies.

Information and Computer Security
University of Kara (TG), Université Paul-Valéry Montpellier (FR)
Reduced inequalities
Openalex Percentile: Top 3%
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.