THE EFFECTS OF NATIONAL CULTURE ON THE ASSESSMENT OF INFORMATION SECURITY THREATS AND CONTROLS IN 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
This study enriches the information provided in the 2012 Deloitte Touche Tohmatsu Limited (DTTL) survey that dealt with information security threats and controls in the global financial services institutions (GFSI). It seeks to provide information on the effects of national cultural dimensions on information security threats and controls in GFSI. The study’s analysis used secondary data, which was acquired from relevant, reputable sources. The study’s findings offer partial support for the significance of national culture in the discourse. Namely, cultural dimensions of uncertainty avoidance (UAI), individualism versus collectivism (IDV), and masculinity versus femininity (MAS) have effects on the assessment of information threats and controls related to the acquisition and implementation of security tools such as identity access management and cloud computing services. In addition, national cultural norms had effects on respondents’ experiences with privacy-related breaches and assessment of information security budget. The implications of the study’s preliminary findings for research and practice are discussed.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 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 | 0.001 |
| Open science | 0.001 | 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