The Role of Digital Entrepreneurial Platforms and Bricolage Entrepreneurial Processes in Rural Transformation
Bibliographic record
Abstract
Building on current developments of digital platform technologies and the emerging entrepreneurship theory of bricolage entrepreneurial processes, this paper develops a framework for economic and social transformation of rural communities using digital platform technologies. It argues that digital platform technologies when combined with bricolage entrepreneurial processes can empower rural entrepreneurs to overcome the liabilities and constraints commonly found in rural communities. In resource poor rural communities social entrepreneurial process are found to be necessary to mobilize the social capital and fill in the gaps caused by government and market failure. The findings of this study provide an insight into how new digital platforms can help isolated rural communities to overcome the barriers common to most rural communities including limited access to key resources, talent, investors and market access. The significance of this study is made by its three main contributions. First, it contributes to the social entrepreneurship literature by providing a conceptual framework that combines social entrepreneurial process and digital platform strategies as drivers of social innovation and social change. Secondly, by amplifying the role of social entrepreneurial processes in regional transformation this study contributes to the literature on regional revitalization which has often taken a top down approach by emphasizing large multinational corporations as the main driver for revitalizing regional economies. By having social entrepreneurial processes at the center of regional transformation, especially in rural communities where market conditions do not provide a return on investment that is large enough to attract large investors, this study provides a bottom-up approach that is more inclusive, practical and sustainable. Thirdly, this study brings to light the game changing role that digital platform technologies can play to advance economic and social change in isolated rural communities.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.007 |
| Scholarly communication | 0.006 | 0.007 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.001 |
| 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".