An empirical examination of the relationship between globalization, integration and sustainable innovation within manufacturing networks
Why this work is in the frame
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Bibliographic record
Abstract
Purpose While controlling for supply chain effects, the purpose of this paper is to investigate if globalization and collaborative integration within a firm-wide manufacturing network have significant implications for the adoption of sustainable production (SP) and sustainable sourcing (SS) practices at the plant level. Design/methodology/approach The authors conceptualize SP and SS as process innovations with moderate degrees of innovativeness and apply “Organizational integration and process innovation” theory to build our conceptual model. Then, the authors use primary survey data from 471 assembly manufacturing plants operating in the US, Europe and Asia to test our hypotheses rigorously. Findings This research finds that the adoption of SP practices at the plant level is significantly and positively associated with globalization and integration of the firm-wide manufacturing network. On the contrary, the adoption of SS practices is more strongly affected by integration in the external supply chain and benefits from the manufacturing network only indirectly, through the association with SP practices. Originality/value Operations management literature devoted to sustainability has studied sustainable practices mostly from a risk management angle. Also, there exists contrasting evidence in the operations strategy literature about the positive and negative effects that globalization of a manufacturing network may have on the adoption of sustainable practices at the plant level. Moreover, several studies show how integration with supply chain partners helps manufacturing plants transition into more SP and SS practices; however, related literatures have neglected that collaborative integration within a firm-wide manufacturing network may also help to develop, or adapt to, new sustainable practices. This research represents a first attempt to resolve discordance and unveil the positive effects that manufacturing networks may have on sustainable innovations at the plant level.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.001 | 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