The impact of management style and supply chain coordination on the lean projects implementation to increase the operational performanc
Bibliographic record
Abstract
The Indonesian manufacturing industry contributes significantly to economic growth in the globalization era. The capability of company leaders to manage excellently determines manufacturing's competitiveness and sustainable performance to survive in current conditions. This study examines the impact of management style and supply chain coordination on operational performance through lean project adoption. The research surveyed manufacturing companies in Indonesia by distributing questionnaires with Google form links to industry practitioners. The survey obtained 172 manufacturing companies with purposive sampling, which is at least the staff level in the company and permanent employees. Data processing is carried out by structural equation modeling and meets the goodness of fitness. The processing results showed that management style influenced internal supply chain coordination by 0.729, external supply chain coordination by 0.221, and lean project manufacture by 0.152. The company's internal supply chain coordination impacts increased external supply chain coordination by 0.512, lean project manufacture by 0.375, and operational performance by 0.405. External supply chain coordination impacted the increase in lean project manufacturing by 0.396. and operational performance of 0.234. Lean project manufacturing in the company impacts operational performance by 0.172. The practical contribution of the research provides insight into supervisors and managers always to be consistent and committed to lean manufacturing practices and build strong internal and external coordination. The theoretical contribution of research can enrich the theory of a resource-based view with sustainable supply chain and leadership transformation.
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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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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 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".