The Emergence of Innovation Capability During Firms’ Early Stage: Cases from Indonesian Creative Social Enterprise
Bibliographic record
Abstract
The article is based on a literature review and empirical analysis of three creative social enterprises that have managed to build their innovation capability and have received numerous international awards for their sustainable impacts. The purpose of this article is to investigate how the "innovation capability perspective" of strategic management theory can be combined with "social innovation theory." By combining both perspectives, we propose a new way to understand and explain the emergence of innovation capability during the early stages of creative social enterprises, which neither "innovation capability" nor "social innovation perspective" can do on their own. The research used a qualitative exploratory study design with multiple case studies. In-depth interviews and literature studies were the data collection methods used in the study. Based on the reccurance patterns in the literature review, we propose creativity, leadership, strategy, knowledge management, and collaboration as determinant factors of innovation capability that are deeply needed for CSEs in their early stage. Through the results of in-depth interviews with 6 top management leaders in the creative social enterprises, it was possible to gain more descriptions that enriched the five determinant factors. We conclude that CSEs' innovation capability can emerge during the early stage if they have the motivation to be creative despite resources limitation, the presence of facilitating leaders supported by local champions, the alignment of business, technology, and social innovation strategy, the use of locality as a strategic asset in knowledge management, and the alignment of goals and expectations for fruitful collaboration. The study contributes to a better understanding of how innovation capability emerges during the early stages of creative social enterprises by combining both strategic management and social innovation theory.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".