Corporate Social Responsibility as a Basis for Innovative Entrepreneurship Development
Bibliographic record
Abstract
The purpose of this study is a theoretical and empirical analysis of the phenomenon of social responsibility as the basis for innovative development of entrepreneurship and an important tool for simultaneously meeting the needs of business and society.In this study, a qualitative method is utilized.The study examines the concept, models, and tools of Corporate Social Responsibility (CSR), defines co-dependency of business and society as a necessary condition for sustainable development, analyses the application of CSR practices in business activities, substantiates the fact that social responsibility is a factor of increasing competitiveness, productivity and added value of goods and services, and the introduction of innovation.This paper contributes to a better understanding of the co-dependency of business and society and a link between CSR practices and innovative development, emphasizing the importance of open innovation in sustainable development.Future research directions include investigating CSR as a mechanism for the innovative development of entrepreneurship, analyzing case studies from Ukrainian and global perspectives, and examining the interdisciplinary discourse on social responsibility.However, the research is primarily based on the Ukrainian context, potentially limiting its applicability to other settings.
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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 | 0.005 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.013 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".