Contextualizing a social enterprise opportunity process in an emerging market
Bibliographic record
Abstract
Purpose The purpose of this paper is to contribute to a better understanding of how a social enterprise opportunity is brought to fruition in an emerging market. Design/methodology/approach This real-time longitudinal case study tracks the emergence of a micro-franchise start-up from conception to inception. Using a narrative perspective as a conceptual lens focuses attention on the relational, temporal and performative elements of the interactive process that occurs between social entrepreneur(s) and the environment(s). While interviewing provides the primary source of evidence, multiple data collection methods were utilized. Findings The analysis of the process elements centres on the narratives of the micro-franchise co-founders and other key informants that prompt action aimed at bringing the opportunity to fruition, showing how the social entrepreneurs bring the inside out and the outside in. Research limitations/implications Despite challenges to the appropriateness of Western management theory within emerging markets, this study has shown that theory at a sufficiently high level of abstraction can be useful. It also demonstrates the need to study process over time and be inclusive of the range of stakeholders and contexts that influence it. Social implications The findings indicate that social enterprise start-up is a co-creative process that evolves in unpredictable ways over time. Beyond start-up, only time and further study will determine whether social enterprise will prove to be the panacea for poverty and marginalization that governments expect. Originality/value This research gains real-time insight into social enterprise emergence. It underscores the multi-dimensional nature of context and provides evidence indicating that the relationship and influence between social entrepreneur(s) and their environment is not one way.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.009 | 0.016 |
| Scholarly communication | 0.009 | 0.011 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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 source (direct Gemma or distilled Codex), 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".