Thought clarity to execution chaos: a review on core competencies of grassroots entrepreneurs for instigation, growth and sustainability of startups
Bibliographic record
Abstract
Endeavoring to comprehend the recent surge in empirical and theoretical research ventures on grass root entrepreneurial competencies, the study initially intends to shed light on the current trends and future directions that facilitate in assimilating the reasons for declining growth stability. Moreover, as the emerging interest and importance of entrepreneurs in bottom of the pyramid market, the research attempts to classify exclusive competencies, barriers and support requisite for sustainability. The articles selected and shortlisted from the Scopus database is accumulated to 1486 documents, retrieved between 1971 and 2022 was utilized to perform the bibliometric analysis. The classification identified the need for future research in grassroots competencies, sustainable startups, circular economy, barriers and facilitators in low-income society. The findings stimulate scholars to work on to bring new approaches, theories and business models for both government and organizations during skill development programs.
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How this classification was reachedexpand
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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".