Bibliographic record
Abstract
Purpose: The work is devoted to quantifying the main dependencies and contradictions between the introduction of innovation and corporate development of modern entrepreneurship forms. Methodology/Approach: In this study, the main analysis method is the use of fuzzy knowledge bases to select the best management practices. The research allows one to understand the impact of innovation on the effectiveness of business models and what ways in management can be used to increase resilience to the influence of external factors. Findings: The creation of new combinations of practices based on the knowledge base makes successful management of an enterprise’s innovative development. To form a base, the results of global surveys and ratings of enterprises-leaders of innovative development became the basis. Research Limitation/Implication: The study examines some aspects in the innovation management of enterprises in Canada. Canada’s own specificity of innovative activity management caused the interest of research. Namely, an innovative society is being formed there based on a high level of education and knowledge, allowing higher rates of the country’s development. Originality/Value of paper: The paper examines the current economic and financial condition of innovative enterprises in Canada and the need to change the financial and economic policy to form a strong competitive position, in times of crisis and further economic growth. The results of this study can be applied in modern entrepreneurship, regardless of the scale of business.
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.
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 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.009 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".