Local relationships matter! The impact of intellectual capital on entrepreneurial bricolage in African social entrepreneurs
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
Social entrepreneurs aim to create societal value while pursuing financial sustainability. However, they typically face several challenges and constraints when operating in resource‐scarce environments. For this reason, social entrepreneurs typically engage in entrepreneurial bricolage, which is described as a process of using whatever tools and resources necessary that are immediately available. The behavioral theory of entrepreneurial bricolage attempts to understand what entrepreneurs do when faced with resource constraints. In this vital process, little empirical research has been conducted to investigate what drives social entrepreneurs to engage in such a way. This study aims to understand the antecedents of bricolage and, in particular, empirically test its link to intellectual capital. A survey was administered to 115 social entrepreneurs from Ghana and Sierra Leone. Data analysis shows that relational capital plays a crucial role in driving social entrepreneurs to engage with bricolage. In fact, the quality of local relationships and external support received (by suppliers, customers, and communities) is positively related and statistically significant with entrepreneurial bricolage. The results of this study not only extend the academic literature of bricolage in social entrepreneurship but also point out the focal role of relational capital as an enabler toward effectively operating in difficult conditions in developing African countries. We thus provide theoretical implications to the field of social entrepreneurship through the lens of intellectual capital and knowledge management. Practical implications are provided to social entrepreneurs operating in developing countries, such as government, NGOs, and agencies seeking to support entrepreneurship initiatives. Limitations and future research opportunities are suggested as well.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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