Corporate Social Responsibility in Canadian Family Businesses: A Socioemotional Wealth Perspective
Bibliographic record
Abstract
After having gained prominence in the late 20th century, corporate social responsibility (CSR) has emerged as a critical business aspect, adopted widely across the corporate landscape. Although family firms play a significant global role, research on their relationship with CSR performance remains sparse and inconclusive. This paper seeks to bridge this gap by employing the primary classification of family firms, the socioemotional wealth perspective, and its FIBER model to examine their influence on CSR performance. The focus is on Canadian public companies listed on the S&P/TSX Composite Index from 2014 to 2022. Utilizing the NBC Canadian Family Index, the findings suggest that family firms exhibit superior CSR performance compared to their non-family counterparts. Further analyses indicate that family firms with greater control and influence by family members, those named after the family, those with strong emotional ties, and first-generation family firms tend to have enhanced CSR performance. By developing a socioemotional wealth score through FIBER dimensions to classify family firms, this study underscores the association of family firms with higher CSR performance, validating the robustness of the results.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.008 | 0.004 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".