Lost in Time: Intergenerational Succession, Change and Failure in Family Business
Bibliographic record
Abstract
Previous research has shown there is a high failure rate (70%) for successions in family owned businesses. Other researchers have suggested that the reasons why such successions fail are: unclear succession plans, incompetent or unprepared successors, and family rivalries. In this paper, poorly performing or failed family enterprises were tracked for several years to determine what happened. Sixteen intergenerational successions, which were followed by poor performance ending either in successor dismissal or bankruptcy, were studied. Findings indicated that intergenerational successions were often hampered by an inappropriate relationship between the past and the future. Specific problems identified include: excessive attachment to the past by an overly dependent and conservative successor, a rejection of the past by a rebellious one, or an incongruous blending of past and present by an unsure and wavering new leader. The fact that these patterns occur with such regularity suggests that they be studied further as syndromes that must be combated by a great many family owned businesses. (SFL)
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.003 | 0.006 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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 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".