Assessing the role of leadership style and budget allocation in cybersecurity project success in the healthcare sector: The mediating effect of risk mitigation strategies
Bibliographic record
Abstract
This study explores the impact of leadership style and budget allocation on the success of cybersecurity projects, with a particular emphasis on the mediating role of risk mitigation strategies within the healthcare sector. A total of 406 valid responses were obtained from IT professionals, cybersecurity officers, and project managers across healthcare institutions using a structured online questionnaire. Structural Equation Modeling (SEM) with SmartPLS was employed to analyze the data and test the proposed hypotheses. The results revealed that both leadership style and budget allocation exert significant positive effects on cybersecurity project success. Moreover, risk mitigation strategies were found to mediate the relationships between the independent variables and project success, underscoring their critical role in translating managerial and financial support into effective cybersecurity outcomes. All hypotheses were supported. The findings offer key theoretical contributions to cybersecurity and project management literature and present actionable insights for healthcare administrators seeking to strengthen their cybersecurity posture through strategic leadership and efficient resource allocation.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".