Six Factors That Shape How Global Leaders Exercise Power and Influence Followers
Bibliographic record
Abstract
Abstract As part of an exploratory study on the nature of global leaders' power, we interviewed 23 global leaders to address the question: “How do the task, culture, and relationship complexities of global leadership shape the way global leaders exercise power and influence their followers?” We identify five complicating factors that shape the use of power by global leaders: Language, culture, time zones, physical distance, and matrix organizational structures. When compared with domestic leaders, these five factors make the use of power more complex for global leaders and require global leaders to invest substantially more time and energy into building relationships, sharing leadership, and prioritizing communication to ensure common understanding of vision and goals. We highlight a sixth factor, high-quality relationships, as an enabling resource for global leaders to succeed despite contexts of global leadership complexity. We provide a conceptual model summarizing how global leader influence attempts are complicated and enhanced and offer implications for future research and practice.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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".