CEO Transformational Leadership and Corporate Entrepreneurship in China
Bibliographic record
Abstract
ABSTRACT A chief executive officer (CEO) acting as the firm's transformational leader is typically viewed as instrumental to corporate entrepreneurship in established firms, but how exactly does a higher level of corporate entrepreneurship come about, given a transformational CEO's actions? We suggest that organizational ambidexterity can function as a core mediating mechanism between transformational CEOs and the observed level of corporate entrepreneurship and that the effectiveness of this mediating process varies as a function of critical contingencies related to characteristics of the top management team (TMT), the environment and the organization's design. Our empirical evidence, based on a sample of 145 Chinese private sector firms, and using three primary sources of data (145 CEOs, 506 TMT members, and 1,981 middle managers), provides support for a moderated mediation process. We find that the mediating pathway from transformational leadership to corporate entrepreneurship through organizational ambidexterity is not significant when boundary conditions are ignored. However, when environmental dynamism, TMT collectivism, and structural differentiation are included as moderators, CEO transformational leadership does affect corporate entrepreneurship via the creation and effective functioning of organizational ambidexterity.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".