The Impact of Information Technology Management, Training and Strategy Management on Organizational Performance of Sharjah Police
Bibliographic record
Abstract
The study mainly aims at investigating the impact that happens to the organizational performance as an impact of utilizing both information technology management and training. In-depth investigation of literature indicates the necessity of the proposal of the current research. The current study has utilized various theories including Knowledge Based View (KBV) and Resource Based View of the firm (RBV) so as to achieve the main purpose of the research. It also aimed at examining the impact of IT management and training on the performance of the organization. The study used a questionnaire as a tool. The researcher distributed a number of 341 questionnaires randomly on some department of the police in Sharjah. When the questionnaires were filled, the researcher used SPSS system in order to accurately analyze the results. The study concluded that the organizational performance of the Sharjah police has been positively affected by using information technology management. In addition, the research shows that it is essential to utilize on information technology management, training and strategy management on order to affect the performance of the organization successfully.
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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 | 0.001 | 0.005 |
| 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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".