Control Power of Senior Executive, Business Environment and Entrepreneurship
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Senior executives have the power to formulate and implement strategic decisions of their company. Entrepreneurship is the critical human capital owned by them. To stimulate entrepreneurship, it is important to ensure that the company is controlled by senior executives with entrepreneurial spirit. Taking China’s A-share listed companies in 2013-2018 as the objects, this paper discusses the influence of control power of senior executives (executive control) over entrepreneurship, and further explores how each dimension of business environment and their interactions affect executive control and entrepreneurship. The results show that executive control greatly promotes entrepreneurship; high legalization level and intense market competition are favorable for entrepreneurship. The incentive effect of executive control on entrepreneurship can be enhanced by government intervention and market competition, and greatly bolstered through the interaction between legalization level and government intervention, as well as the interaction between market competition and government intervention.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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 it