The effect of product innovation on business performance during COVID 19 pandemic
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
Management research maintains business performance of local products during the pandemic, requiring organizations to act effectively and efficiently in managing resources based on relevant knowledge. Efforts are needed to sustain local product business, maintain the key to organizational success based on knowledge sharing and innovation in improving business performance so that local products remain sustainable. This research was analyzed quantitatively using SEM-AMOS statistical tools, in 300 local product business actors in Central Kalimantan and Bali. The proactive antecedents of market orientation were obtained significantly positive encouraging mediation role of knowledge sharing by 51% and innovation by 63% on business performance. Activities that are managed so that superior products become management activities with significant positive Planning, Organizing, Actuatingand Controlling (POAC) carried out by mediating positive impacts to maintain local product business. The novelty of this research is a conceptual model based on Knowledge Based View (KBV) to increase local product business in two provinces affected by Covid-19. The implication of this research is to encourage business actors to synergize with market orientation into relevant information to identify changes and needs, as well as to encourage knowledge sharing and innovation in improving business performance of local products that are in accordance with consumer needs.
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 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