The Impact of Social Media on Human Resource Management Scope Activities in Al-Futtaim and Al-Etihad Group UAE
Bibliographic record
Abstract
Purpose: Social media (SM) has gotten developing consideration over the most recent couple of years due to public awareness, a new age of organization, knowledge, and technology reasons, the requirement of SM has increased. The present research concentrates on two companies; namely Al-Futtaim and Al-Etihad group. Design/methodology: The study has identified various contextual relationships to the identified SM. Therefore, structural models of SM for implement human resource management scope activities (HRMSA). The finding presented that the companies with a larger service network is more affected by SM than the newly established company in HRMSA. Furthermore, the study indicated a positive and high relationship. Reasonable ramifications: Obvious comprehension of these variables will assist associations to organize better and deal with their assets in a productive and powerful way. Uniqueness: Contribute to study was identifying the HRMSA to implement SM platforms in (UAE) companies; Moreover, SM has opened a new avenue for HRMSA.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 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) | 0.003 | 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".