Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Cybersecurity governance in the healthcare sector during digital transformation

An integrated model and hybrid analytical approach

Bibliographic Data

ID22066565
AuthorsAmnah Alharbi (Qassim University, corresponding author), Ali Alkhalifah (0000-0001-5581-5336, Qassim University, corresponding author)
Year2025
Volume13
Pages1703689-1703689
Publication date2025-11-19
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueFrontiers in Public Health (JOURNAL)
Journal identifiersISSN: 2296-2565 • E-ISSN: 2296-2565
PublisherFrontiers Media SA (PUBLISHER • CH)
DOI10.3389/fpubh.2025.1703689
PMID41346737
OpenAlexW4416402992
LanguageEN
Citations received1
References cited98

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 digital transformation factors, such as complexity (the interconnectedness of diverse digital health systems) and exploitability (the potential for vulnerabilities in those systems to be leveraged by attackers), and cybersecurity-related factors, such as privacy, trust, and awareness, and to understand how they influence employee behavior in healthcare. Data were collected from 252 healthcare workers in Saudi Arabia and analyzed using structural equation modeling and artificial neural networks. Results: The results showed that trust, exploitability, awareness, and certainty of punishment significantly impact security behavior during digital transformation. Privacy concerns and complexity were also found to significantly influence threat assessment and response evaluation. However, consistent with some studies in managed security environments, perceived vulnerability, perceived threat, and self-efficacy had no impact on security behavior. Finally, the study presents its theoretical and applied contributions and recommendations for future research

Certainty · Corporate governance · Data governance · Health care · Information security · Cybersecurity and Cyber Warfare Studies · Information and Cyber Security · Smart Grid Security and Resilience

  • Understanding the role of cybersecurity in the internet of things within the health sector

    Open Access•Ruba A Alnajim, Ali A Alkhalifah•Frontiers in Public Health•2026

  • Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R

    Open Access•Joseph F Hair, G Tomas M Hult et al.•Partial Least Squares Structural…•2021

  • Predicting the drivers of behavioral intention to use mobile learning

    Open Access•Garry Wei-Han Tan, Keng-Boon Ooi et al.•Computers in Human Behavior•2014

  • Bootstrapping and PLS-SEM

    Open Access•Sandra Streukens, Sara Leroi‐Werelds•European Management Journal•2016

  • Digital transformation in healthcare

    Open Access•Krau, Fausta Schiavone et al.•Journal of Business Research•2021

  • Essential elements of questionnaire design and development

    Open Access•Janice Rattray, Martyn C Jones•Journal of Clinical Nursing•2007

  • PLS-SEM’s most wanted guidance

    Jared M Becker, Jan-Michael Becker et al.•International Journal of…•2023

  • Executing and interpreting applications of PLS-SEM

    Open Access•Joseph F Hair, Claudia Binz Astrachan et al.•Journal of Family Business Strategy•2021

  • Construct Measurement and Validation Procedures in MIS and Behavioral Research

    Scott B Mackenzie, Mackenzie Mackenzie et al.•MIS Quarterly•2011

  • Predictive Analytics in Information Systems Research1

    Galit Shmueli, Otto R Koppius et al.•MIS Quarterly•2011

  • Guidelines for choosing between multi-item and single-item scales for construct measurement

    Open Access•Adamantios Diamantopoulos, Marko Sarstedt et al.•Journal of the Academy of…•2012

  • A tutorial on pilot studies

    Open Access•Lehana Thabane, Jinhui Ma et al.•BMC Medical Research Methodology•2010

  • Assessing measurement model quality in PLS-SEM using confirmatory composite analysis

    Open Access•Joe F Hair, M C Howard et al.•Journal of Business Research•2020

  • A new criterion for assessing discriminant validity in variance-based structural equation modeling

    Open Access•Jörg Henseler, Christian M Ringle et al.•Journal of the Academy of…•2015

  • When to use and how to report the results of PLS-SEM

    Open Access•Joseph F Hair, Jeffrey J Risher et al.•European Business Review•2019

  • Evaluating Structural Equation Models with Unobservable Variables and Measurement Error

    Open Access•Claes Fornell, David F Larcker•Journal of Marketing Research•1981

  • PLS-SEM or CB-SEM

    Joe F Hair Jr, Joe F Hair et al.•International Journal of…•2017

  • Sources of Method Bias in Social Science Research and Recommendations on How to Control It

    Philip M Podsakoff, Scott B Mackenzie et al.•Annual Review of Psychology•2012

  • A Brief Tutorial on the Development of Measures for Use in Survey Questionnaires

    Open Access•Timothy R Hinkin•Organizational Research Methods•1998

  • Exploring Customer Awareness towards Their Cyber Security in the Kingdom of Saudi Arabia

    Open Access•Aditya Johri, Shailendra Kumar et al.•Human Behavior and Emerging…•2023

  • A Hybrid Framework for Intrusion Detection in Healthcare Systems Using Deep Learning

    Open Access•M Akshay Kumaar, Duraimurugan Samiayya et al.•Frontiers in Public Health•2022

  • Examining the Prediction of Covid-19 Contact-Tracing App Adoption Using an Integrated Model and Hybrid Approach Analysis

    Open Access•Ali Alkhalifah, Umar Ali Bukar•Frontiers in Public Health•2022

  • Meta-analysis on application of Protection Motivation Theory in preventive behaviors against Covid-19

    Open Access•Sadegh Hedayati, Hossein Damghanian et al.•International Journal of Disaster…•2023

  • What we think we know about cybersecurity

    Lies De Kimpe, Michel Walrave et al.•Behaviour and Information…•2022

  • Structural Model of the Healthcare Information Security Behavior of Nurses Applying Protection Motivation Theory

    Open Access•Eunwon Lee, GyeongAe Seomun•International Journal of…•2021

  • Hospital Staff’s Adherence to Information Security Policy

    Open Access•Kuang-Ming Kuo, Paul C Talley et al.•INQUIRY The Journal of Health…•2021

  • General Deterrence and International Conflict

    Stephen L Quackenbush•International Interactions•2010

  • Mobile social tourism shopping

    Open Access•Jun-Jie Hew, Lai-Ying Leong et al.•Tourism Management•2018

  • Exploring the impact of cybersecurity on using electronic health records and their performance among healthcare professionals

    Open Access•Ala’a M Al-Momani, Ramayah Thurasamy et al.•Technology in Society•2024

  • Assessing the factors that influence the adoption of healthcare wearables by the older population using an extended PMT model

    Open Access•Nidhi Singh, Richa Misra et al.•Technology in Society•2022

  • Snowball Sampling

    Open Access•Patrick Biernacki, Dan Waldorf•Sociological Methods & Research•1981

Unique citing works1
Citations per year1
Citation span2026 - 2026 (1)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 1

Tools

Open DOIOpen Access
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae