The effect of integrated information technology on competitive advantage through supply chain integration and supply chain flexibility
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
Unlimited global competition for manufacturing companies means that companies must be efficient and effective, so implementing information technology is needed to produce fast and precise decisions. Manufacturing companies in East Java were obtained with a sample size of 89 companies as research respondents and processed using smart PLS. The research results show that the implementation of continuously adjusted information technology can provide improvements in supply chain integration, supply chain flexibility, and competitive advantage. Connections with external partners and transactions using information technology make it easier to coordinate internally and externally in decision making. Supply chain integration, which is described as collaborating with partners and involving them in decision making, can increase supply chain flexibility and competitive advantage. Manufacturing companies can increase flexibility in processes and develop new products, increasing market share and customer satisfaction compared to competitors. The company's supply chain flexibility can increase its competitive advantage. This research provides a practical contribution to company management in appropriately managing business strategy and in line with external changes. For operational practitioners, it includes enlightenment in maintaining the role and function of up-to-date information technology to make decision making easier. The theoretical contribution of the research is to enrich the theory's resources-based view on competitive advantage and operational system integration.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| 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