Enabling management control in improving the performance of SMEs
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
This study aimed to investigate the effect of management control system enabling with capabilities that can improve the performance of SMEs. This study was conducted among the managers of SMEs of local food products in Banten Province, Indonesia. The number of respondents in this study was 85 SME managers. This study used structural equation modeling as an analytical tool and PLS Smart software to process the data. The findings of this study show that there was a positive effect of the use of enabling management control system (MCS) on creativity; there was a positive and significant effect of the use of Enabling MCS on cost efficiency; there was a positive and significant effect of the use of Enabling MCS on performance; there was a positive and significant effect of creativity on innovation; there was a positive and significant effect of cost efficiency on performance; and finally there was a positive and significant effect of innovation on performance. The implication of this study is that it can provide a choice of control system for SME management, which up to now still uses conventional control system. The use of Enabling MCS can create a capability for the managers of SMEs of local food products to win the competition. This is due to the uniqueness of Enabling MCS that can increase creativity and also cost efficiency.
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.
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 | 0.003 | 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 | 0.001 |
| Open science | 0.001 | 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