Internal Communication Issues in the Firms: Does It Affect the Productivity?
Bibliographic record
Abstract
Communication is born as a response of the human being to interact with other people in companies to motivate human resource and obtain the expected results and work with the best workers in an increasingly competitive market; internal communication plays an important role in improving the working environment and an excellent performance of workers. The constant change brought about by world globalization, forces organizations to apply methods that organize the means to lead the company to obtain better performance and make full use of all its resources; without it, it is created an environment of instability and uncertainty among its members. Business communication can be seen as a strategic tool in relation to the organization with the environment and interaction with the staff, showing the results expected by the company analyses by empirical data. The research is developed through a descriptive and empirical methodology to identify through surveys to workers from different companies, the current problems presented by organizations in internal communication; thus establishing the consequences of poor organizational communication; finding the real problems that affect the companies of the Colombian industry and of the world, to find possible solutions.
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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 | 0.005 | 0.029 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.013 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".