The Influence of Family Business Size on Management Activities, Styles and Characteristics: An International Analysis
Bibliographic record
Abstract
Few quantitative studies and few international studies of family businesses exist.While many studies of family firms have examined the stages of firm growth and the generations present within firms, this study investigates the effects of firm size as measured by the number of employees. Family firms from four different countries (Croatia, France, India, and the United States) were surveyed, resulting in a total sample size of 365 respondents. Both one-way ANOVA and chi-square were used to analyze the data according to the hypotheses.Of the 11 hypotheses presented, only 3 were accepted.Two clearly patterned, statistically significant hypotheses revealed that larger firms were more likely to use non-family members in upper management and that they were more likely to use sophisticated methods of financial management. Although the findings were limited, they indicate that firm size may be a relevant factor to consider when studying family businesses.These findings provide a foundation for future research studies in this area. (AKP)
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".