A Survey of Asian Family Business Research*
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract We survey the literature on family firms with a focus on Asian countries. We begin with identifying three key motivational drivers of international research on family business—their dominance, relative performance, and extent of family embeddedness in the business. Second, we provide a brief survey of family firms in eight Asian economies with a focus on the history and current challenges faced by family firms in each country. Third, we document the variety of family firm definitions used in the literature and the resulting difficulty in drawing inferences due to a lack of definitional consistency. Fourth, we discuss the strategic advantages family assets such as legacy and networks bring to family firms in the Asian context. Fifth, we identify some unique challenges family firms face in their countries, and provide examples of how ownership and succession structures mitigate these challenges. We close this survey by suggesting some open research questions relevant for Asian family firms.
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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 | 0.005 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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 it