Bibliographic record
Abstract
This conceptual paper focuses on bricolage and it pays particular attention on the context of micro and small enterprises (MSEs) in resource-constrained environments – a common feature of most emerging economies. Knowledge about the underlying factors that determine bricolage as a common practice among MSEs operating in emerging economies is yet to advance and develop within the mainstream entrepreneurship literature. Much of this scholarship tends to focus on multi-national enterprises (MNEs) in advanced economies and it discusses bricolage as their strategic choice. Such an approach has led to a lack of meaningful theoretical paradigms for defining the business approaches MSEs adopt as a way of mitigating their perennial operational issues inherent in their environment. Thus, in this conceptual paper, which adopts a scoping review approach, we study the constructs of bricolage particularly their application in MSEs operating in emerging economies. From our analysis a fresh deterministic model mapping out the causal factors that give rise to bricolage behaviour in MSEs that operate in difficult conditions emerged. Thus, we contribute to entrepreneurial behaviour theories by identifying distinctive business methods MSEs adopt to withstand operational difficulties inherent in their environments.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".