The impact of industry 5.0 on supply chain performance
Bibliographic record
Abstract
The transformative potential of Industry 5.0 (I5.0) to enhance supply chain performance (SCP) has become a compelling focus for numerous supply chain (SC) managers. This research explores the profound impact of I5.0 on SCP, highlighting three key dimensions: Efficiency, Visibility, and Responsiveness. It illuminates the dynamic interplay among these dimensions, demonstrating that improved visibility leads to heightened responsiveness and efficiency. While the enabling technologies of I5.0 hold significant potential for diverse applications, this study zeroes in on seven I5.0 technologies identified as highly impactful within the SC context. A closed-ended questionnaire was employed to collect 105 valid responses from managers, experts, and practitioners who are well-versed in I5.0 within the SC domain. Data analysis was performed using Partial Least Squares-Structural Equation Modeling (PLS-SEM) with SmartPLS 4. The findings reveal both positive direct and indirect relationships between I5.0 and SCP, emphasizing how I5.0 reshapes performance dynamics and can expedite the adoption of I5.0.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.008 | 0.019 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 source (direct Gemma or distilled Codex), 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".