Organizational Characteristics Role in the Implementation of Information Security in Knowledge Management with a Focus on Employee Safety Behavior
Bibliographic record
Abstract
Nowadays competitive advantage maintenance and organizational survival are not possible with no knowledge management. Due to the fact that the main components of the organizational knowledge transfer are human resources and this force only can produce and share knowledge content in the context of a safe system. Therefore, the implementation of the information security and safety principles observance by the personnel are essential in knowledge management. Among these factors, organizational characteristics can be an affecting factor in the implementation of information security in knowledge management. In this study, the role of organizational characteristics on the implementation of the information security in organization's knowledge management with a focus on safety behavior of the staff in the Ministry of Communications and Information Technology and its subsidiaries, is investigated. The study type is applied research and the method is descriptive method which its population consists of senior managers and experts in the Ministry of Communications and Information Technology and its subsidiary companies. The sample size of 253 people has been set. A questionnaire was used to measure the research variables. Regression analysis was used to investigate the relationships between variables and AMOS software was used in this study. The results showed a significant relationship between organizational characteristics with safety behavior and also safety behavior with information security implementation in knowledge management. The organizational characteristics significantly are associated with the implementation of information security in knowledge management.
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.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".