The role of effectual reasoning in shaping the relationship between managerial-operational capability and innovation performance
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The aim of this research is to analyze the relationship between the managerial-operational capability of digital business strategy and innovation performance on the setting of entrepreneurial small and medium enterprises (SMEs). This article is valuable to extend the comprehension and knowledge of SME's entrepreneurship to obtain innovation performance through digital business strategies and these efforts are encouraged by effectuation decision-making logic. This survey targets the manufacturing of small and medium-scale food and beverage SMEs in Indonesia. A total of 52 SME entrepreneurs were selected as the respondent in this research. The data obtained from the collecting of the online questionnaires were analyzed using Moderating Regression Analysis with SPSS for data analysis. The successful entrepreneurial SMEs enhance their innovation performance by improving managerial-operational capability. Effectuation decision-making logic contributes more to strengthening the relationship between managerial capability with innovation performance than operational capability with innovation performance.
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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