The Effects of Social Media on Young Professionals’ Work Productivity: A Case on Ghana
Bibliographic record
Abstract
The study surveyed 488 young professionals to examine the relationships between social media and productivity in the workplace. Drawing on Users and Gratification theory, random samples were taken from the study group between the ages of 18-35 years. The results indicate that there is a positive relationship between productivity at the workplace and social media. However, the impact appears to be related to certain specific uses. Networking, finding information as well as knowledge sharing and exchanging appear to have a higher impact on the professional enhancement of the young professionals. Also the results show that more females (64%) than male (36%) are influenced by social media sites in the professional discharge of their duties. In addition, respondents indicated that social media is a catalyst for the enhancement of their professional development. The study concludes that organizations should take advantage of the strengths in social media use and develop appropriate policies at workplace that will govern the use of social media sites to gain competitive advantage.
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How this classification was reachedexpand
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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.006 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".