Cybersecurity governance in the healthcare sector during digital transformation: an integrated model and hybrid analytical approach
Amnah Alharbi; Ali Alkhalifah · 2025 · Frontiers in Public Health
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract
Introduction: Digital transformation is increasingly relied upon in the healthcare sector, enhancing service efficiency but posing security challenges related to privacy and trust. With the increasing use of digital technologies, cybersecurity issues are becoming more critical, especially given the risks of breaches and data leaks. Therefore, understanding the impact of security factors on employee security behavior during digital transformation is critical. Methods: Based on general deterrence theory and protection motivation theory, this study developed a research framework for examining dig
Abstract by Amnah Alharbi; Ali Alkhalifah, Frontiers in Public Health (2025) — licensed CC BY 4.0.
About to run something similar?
Run an AI Precheck on your own design to catch failure modes like this one before you spend the time. Your first desk check is free.
Related failures
Leakage and the reproducibility crisis in machine-learning-based science
Negative / Null Result ReportDefining and detecting quantum speedup
Negative / Null Result ReportService robots in hotels: understanding the service quality perceptions of human-robot interaction
Negative / Null Result ReportBoosting methods for multi-class imbalanced data classification: an experimental review
Negative / Null Result ReportFINANCIAL DEVELOPMENT AND ECONOMIC GROWTH: A META‐ANALYSIS
Negative / Null Result ReportThe impact of site-specific digital histology signatures on deep learning model accuracy and bias
WASTE indexes this work — it does not host or republish it. Failure-type classification is automated and approximate.
Metadata source: OpenAlex · DOI 10.3389/fpubh.2025.1703689