Next-Generation Entrepreneurs and Succession: An Exploratory Study of Modes and Means of Managing Social Capital
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
Relationships and connectivity play an enhanced role in most models of the new economy. For many firms, strategic advantage resides in the social capital (or relational wealth) they are able to nourish and maintain. This important asset is accumulated over time and not easily traded or transferred. For family firms with long-term continuity goals, the transfer and management of this largely intangible asset are a most significant activity. This research is based on interviews of next-generation entrepreneurs in 18 different firms. It contributes to the family business and more general management literature by identifying different ways in which relational wealth is transferred, created, and managed. Four different modes of transferring social capital emerged from the data: unplanned, sudden succession; rushed succession; natural immersion; and planned succession and deliberate transfer of social capital. Additionally, seven means of managing social capital emerged: deciphering existing network structures, deciphering the transactional content of network relationships, determining criticalities, attaining legitimacy, clarifying optimal role, managing ties through delegation and division of labor, and striving for optimal network configuration and reconstituting network structure and content. This paper concludes with a series of propositions for further research.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.004 |
| 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 it