Relationships between socio-technological factors and information security threats and controls: perspectives from the global financial services industry
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Businesses operating in the global financial services industry (GFSI) know the importance of protecting information assets from ever-growing security threats and risks. This paper aims at shedding light on the relationships between selected contextual socio-technological factors, i.e., national transparency levels, ethical behaviour of firms, technological readiness, among others and information security threats and controls. Primarily, this study enriches the information provided in the 2012 Deloitte Touche Tohmatsu Limited (DTTL) security survey. Secondarily, this study contributed to the literature in the area. Namely, its findings partly supported the view suggesting that contextual factors such as national transparency levels, ethical behaviour of firms and technological readiness have positive relationships with information security threats and controls. This study also showed that such factors have effects on information security threats and controls. Practitioners and academicians can benefit from this study's insights.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.000 | 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 it