Influence of Transformational Leadership Style on Global Competitive Advantage through Innovation and Knowledge
Bibliographic record
Abstract
Today's business organizations necessitate a new leader who can easily confront a new business approach that mainly based on knowledge and innovation to simplify the organization's path toward global marketing trend. Still; organizations sometimes flop to reach sustainable global competitive advantage due to their imperfect consideration of the relationships between these strategic variables. In fact, and up to our knowledge, few researches has consider and examine the direct and indirect associations linking these variables. Our study tries to fill this gap by investigating, theoretically and empirically, how the leader's discernment of diverse intermediary strategic variables related to innovation and knowledge (knowledge slake, absorptive capacity, tacitness) and innovation impact the relation between transformational leadership and organizational global competitive advantage. Based on recently published researchers, we developed a theoretical model that demonstrate the actual connection linking these variables. Most of the data has been collected through secondary resources including journals, books and related research papers. While a questionnaire was used to collect data samples from 50 respondents from Telecommunication Regulatory Authority leaders and employees in UAE, model testing also conscious the findings and deliver some conclusion from business leaders to confirm the relations tested among this research.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".