Family business successors' motivation and innovation capabilities: the case of Kosovo
Bibliographic record
Abstract
Purpose This study aims to investigate the second-generation successors’ motives to join family businesses and their ability to generate innovation within them. Design/methodology/approach A qualitative methodology is used in this study. Data were collected through structured interview with the second-generation representatives, where the data obtained helped us to come to the results and answer the research questions of the study. A total of 15 interviews were conducted. Findings The findings of this study show that the second generation is motivated to continue the family business, cases show that successors since childhood have been oriented towards building an entrepreneurial mindset and also after entering the family business have generated innovation. Originality/value The study will bring theoretical implications to the family business literature, providing scientific evidence for the second generation of family businesses, from an emerging country such as Kosovo. As Kosovo is an emerging country, the study will contribute to the literature, suggesting other studies by emerging countries in this way to see the similarities and differences.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.007 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.003 |
| 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".