A Focus on Ethical Value under the Vision of Leadership, Teamwork, Effective Communication and Productivity
Bibliographic record
Abstract
The new economy and the knowledge-based society brought significant changes in all the areas of our daily lives. Also, the COVID-19 pandemic and the COVID-19 crisis implicated tremendous transformations in all the domains, on the one hand, threatening the balance of our society and, on the other hand, challenging the dynamic of the new economy development and the rhythm of the societal modernization. In these delicate times, the all-important relationship between ethics, leadership, teamwork, effective communication, productivity, and performance is brought to the attention, in particular, due to its benefits for our society, taking into consideration the pivotal advancement that a well governed relationship of this type could provide to the knowledge-based economy. The present research describes the implication of ethics in leadership, teamwork, effective communication, and productivity, which includes the application of ethical values as university graduates assume the role of each of the mentioned dimensions of study in the organizations. The absence of research that relates ethics to these four elements simultaneously was noticed. This information is essential to know how these dimensions influence the organizational level. The sample that included 410 university graduates was applied in Baja California, Mexico, and the industrial nucleus of great relevance, bordering California in the United States of America. The data was obtained using a questionnaire. A reliability and validity analysis of the measurement instrument was carried out in terms of the ethical values associated with the dimensions mentioned using the exploratory factor analysis by the principal components method. Qualitative items were also analyzed using the constant comparison method. The results obtained in this research provide a greater perspective and practical knowledge and support of usefulness and practical reality to businesspeople and employees, leaders and university graduates; and also extensive to students, teachers, and human beings in general, in order to be better prepared to give and apply solutions with their consequent ethical and productive achievements desired by all. Additionally, this current research has the purpose to raise the will to understand, at a higher level and at a more in-depth degree of knowledge, the relationship between ethics, leadership, teamwork, effective communication, productivity, and performance, in the attempt to foster a creative and innovative business environment, based on a robust and sustainable business administration and business competencies, capable to position at higher ranks the strengths, opportunities, aspirations and outcomes that today’s new economy is due to offer and diminish the dangerous effects of the COVID-19 pandemic and the COVID-19 crisis in all the domains.
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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 | 0.009 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.020 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.005 |
| 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".