Intrapreneurship, Innovation, and Competitiveness in Organization
Bibliographic record
Abstract
To ensure survival, seize opportunities, and resist threats in the unpredictable business scenario, companies increasingly adopt practices that enable intra-entrepreneur behavior. This behavior is characterized by the alignment of company members in search of innovative solutions for the development of the organization and building a competitive advantage. The current study reflects on the importance of intra-entrepreneurship and innovation for the competitiveness of the organization. This article discusses the development of intra-entrepreneurship, its characteristics, the factors that precede it, and also reflects on the relationship between intra-entrepreneurship, innovation, and competitiveness of organizations. The methodological approach consisted of a systematic descriptive-discursive review of the academic literature with research in databases (CAPES Journal Portal, EBSCO HOST, and Web of Science). The keywords used were: corporate entrepreneurship, intra-entrepreneurship, innovation, competitiveness, and competitive advantage (in Portuguese and English). The research found that intra-entrepreneurship and innovation go hand in hand. Together, they constitute dynamic and holistic processes in which employee behavior, combined with favorable organizational factors, affect the development of organizations and the possibility of developing a competitive advantage, not limited to new companies. This article contributes to the literature on intra-entrepreneurship, reinforcing its importance, along with innovation for organizational development. As a practical implication, the current work demonstrated the need to increase attention and appreciation of human capital as a strategic factor for achieving competitive advantage in organizations. For future research, we suggest seeking quantitative research that confirms the relationship between intra-entrepreneurship, innovation, and organizational performance.
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 | 0.005 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.002 | 0.010 |
| Scholarly communication | 0.011 | 0.004 |
| Open science | 0.001 | 0.004 |
| 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".