The Impact of Family Governance on the Sustainability and Continuity of Family Businesses in Botswana
Bibliographic record
Abstract
Academic discussion on corporate governance and its related issues are clearly visible in any country with active capital markets. This suggests that good governance is a crucial factor for ensuring economic development. Of concern is the lack of continuity after the first generation of ownership and control. However, few studies can be found relating to smaller family businesses. With the aim of contributing to this knowledge gap, this study aimed at identifying the impact of family governance on the sustainability and continuity of family businesses in Botswana. A sample of 144 family-owned businesses based in Gaborone and Francistown participated in the study. Pearson r correlation was used to measure the relationship between the variables of the study. The results showed that there is a weak positive relationship between family governance and the sustainability and continuity of family businesses in Botswana. It was recommended that mechanisms must be put in place in order to enlighten the benefits of having Board of Directors and to implement effective governance structures and systems to sustain the businesses in the market beyond generations.
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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 | 0.003 | 0.004 |
| 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".