Cyber-Security Culture towards Digital Marketing Communications among Small and Medium-Sized (SME) Entrepreneurs
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
Cybersecurity is a multidisciplinary field of study that focuses on preserving and protecting data and information from a wide range of threats and dangers. This study presents a cyber-security culture for assessing the knowledge, attitude and practice towards digital marketing communications among small and medium-sized entrepreneurs. The objectives of this study were to identify the knowledge, attitudes, and practices of cyber-security culture toward digital marketing communications among small and medium-sized entrepreneurs in Selangor, as well as to look into the relationship between knowledge and practice in this area. This study utilized a quantitative methodology in the form of a survey, with respondents being selected at random from a list of numbers and from a box of random numbers. Several lists were generated using Instagram business account listings, telegram entrepreneur groups, the National Entrepreneurs Institute, and the Kuala Selangor District Council webpage for recruiting respondents. From the findings, this study found that there is a strong relationship between the level of knowledge and practices towards cybersecurity in digital marketing communications among small and medium-sized entrepreneurs. The study concluded that good knowledge of cybersecurity is crucial among entrepreneurs for them to establish good practices in managing their business.
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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 | 0.000 | 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 | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| 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