Impact of business education of owners and financial support on investment in socially responsible ventures
Bibliographic record
Abstract
This study tested the impact of business education of owners (BE_OWNERS) and foreign family members' financial support (FFM_FS) on investment in socially responsible ventures (INVEST_SRVs). Our survey research collected data from family business owners in India. As baseline methods, we used ordinary least square (OLS) and ordered logistic regressions to test hypotheses and two-stage least square regressions to reduce endogeneity issues. Our survey analysis shows that family business owners' education increases FFM_FS and INVEST_SRVs. FFM_FS, in turn, increases internal financing sources (IFS) and INVEST_SRVs. Foreign family members' financial support and IFS moderate the relationship between BE_OWNERS and INVEST_SRVs. The empirical survey analysis of this study contributes to the literature on the impact of BE_OWNERS and FFM_FS on INVEST_SRVs. Academia may find our research data analysis beneficial to develop further studies on the effects of BE_OWNERS and FFM_FS on investment in socially responsible ventures.
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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 | 0.000 | 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 | 0.001 |
| 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".