Modernization of Palmyra Wicker Crafts as a By Product of Creative Social Enterprise’s Innovation Capability
Bibliographic record
Abstract
Creative social enterprises have several distinct characteristics that support the United Nations' sustainable development goals. In doing so, creative social enterprises embed innovation capability in their businesses, and it happens to be a dynamic force for their economic sustainability while also promoting cultural sustainability. The research studies how the innovation capability of creative social enterprises developed in collaboration with the community of artisans. The study elaborates how creative social enterprise revives the century old handicraft tradition through innovation capability (IC) theoretical lens. Innovation capability has generated extensive interest both academically and practically. However previous works have mostly been performed at conventional organizations with few discussed at creative social enterprise and community level, especially in artisans’ community who are struggling to preserve their handicraft traditions. The research focusing on a unique case, creative social enterprise who works with 14 villages in east Nusa Tenggara Timur, Indonesia. The research used qualitative exploratory study design with single case study. In-depth interviews, a literature review, and documentation were used to collect data for the study. The study result is framework innovation capability in which co-creation as the main engine of IC development of CSE and community of artisans. CSE develops their innovation capability by nurturing multidiscipline team development, listen to market demand, constantly do research and development. Community of artisan’s innovation capability can be developed by considering factors like local culture, local material, local champion, village governance and artisans’ willingness to learn. This research contributes in two ways: first, it provides a comprehensive understanding of how to collaboratively develop innovation capability; and second, it successfully identifies the determinants of innovation capability in both creative social enterprise and artisan communities.
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 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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".