The effect of amended order on firm resilience through supply chain coordination
Bibliographic record
Abstract
Pandemic Covid 19 has resulted in manufacturing companies experiencing disruptions in fulfilling customer orders and changes in product forecasting results from calculation. Manufacturing companies essential in handling covid experience increased demands, while other companies not related to covid experienced a decrease even in cancellation of orders. Order changes determine the company's performance. This research is related to the effect of order changes on firm resilience through supply chain coordination. The distribution of questionnaires to manufacturing companies in Indonesia is done by sending a google form link in the social media group. Data obtained as many as 446 questionnaires and analyzed using the partial least square technique. The study results showed that amended orders positively impacted 0.728 to the internal operational coordination, the positive influence of 0.201 to coordinate with the supplier, and positive effect with a coefficient of 0.213 to coordination with the customer. Internal operational coordinated influence coordinated with the customer of 0.593 and coordinated with the customer of 0.515. Supply chain coordinated impact on the company's supply chain resilience determined by internal operational coordination by 0.371, coordinated with the supplier of 0.183 and coordinated with the customer of 0.199. The practical contribution of the research is to make managers able to build a coordinated Supply chain to overcome amended orders and increase supply chain deficiencies.
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.
How this classification was reachedexpand
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| 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 teacher head, 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".