Sustainable Development of Business with Canvas Business Model Approach: Empirical Study on MSMEs Batik Blora, Indonesia
Bibliographic record
Abstract
MSME Batik Blora in running their own business, they are equally weak in terms of human resources (HR), innovation, capital, technology and marketing. Therefore, government policies related to strengthening MSME businesses need to be supported by implementing an effective business planning model. One of the business planning models that can be applied to the Blora batik business is the Business Model Canvas (BMC). The purpose of this study is to identify the application of the canvas business model as an effort to develop batik SMEs in a sustainable manner. This research is a qualitative research based on empirical findings in the field. This research was conducted on Batik UMKM which is located in Blora Regency as one of the unique batik producing centers in Indonesia. The data used in this study is primary data collected by observation, in-depth interviews and also focus group discussions. The sources of data in this study are related stakeholders such as SMEs in Blora Batik, Blora Regency Government, Academic Experts on Batik and MSME Policy, Banking, and also community institutions. The data analysis used in this research is triangulation. The results show that the canvas business model for Batik UMKM in Blora focuses on the Customer segment, Value proposition, Key resources and Key partners. The implication of this research is that UMKM Batik is one of the businesses that needs to be developed because it is a local wisdom that has uniqueness and characteristics that can be added value for the market. The development of MSMEs Batik can be one of the pioneers for providing community employment so that it helps improve the economy.
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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".