The influence of resources, service capabilities and government support on business incubator success: Empirical evidence from Indonesia
Why this work is in the frame
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Bibliographic record
Abstract
Business incubators contribute to the development of entrepreneurship, innovation, and regional economy. However, in developing countries, implementation faces challenges and obstacles that threaten the success and sustainability of their operations. This research examines the influence of incubator resources, service capabilities, and government support on the success of business incubators. We conducted a national survey and used structural equation modelling analysis to test hypotheses on a sample representing seventy-six percent of the business incubator population in Indonesia, one of the developing countries in Asia. Empirical evidence shows that most incubators in Indonesia are non-profit, university-based, and technology business incubators. The incubator's resources and government support impact its service capabilities. However, the incubator's resources and government support do not directly impact its success. The novelty is that service capability acts as a full mediating variable on the influence of government support and incubator resources on the success of business incubators. The final section outlines managerial implications and future research directions.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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 it