Geopolitical disruptions in global supply chains: a state-of-the-art literature review
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
This paper systematically reviews the literature on the impact of geopolitical disruptions on supply chains to identify primary discourses, emergent themes and key gaps to set a future research agenda. The guiding research question is ‘how do geopolitical disruptions affect the configuration, flow, and management of global supply chains?’. The study applies a systematic literature review of 50 papers from the Association of Business Schools’ (ABS) ranked academic journals in the fields of operations, production, and supply chain management published between 1995 and 2022. Through an in-depth literature analysis, this paper demarcates geopolitical disruptions and the resulting impact on supply chains as a new subfield of research. The results indicate that the impact of geopolitical disruptions on supply chains can be mitigated through: (1) supply chain re-design including regionalisation, back-shoring, and moving away from just-in-time delivery models as well as (2) the implementation of emerging technologies, such as blockchain, 3D printing and artificial intelligence, to improve supply chain transparency and the development of modularised manufacturing. This paper is one of the first to define the current state of research and thinking on the impact of geopolitical disruptions on supply chains, laying a firm foundation for future research by setting a detailed research agenda based on identified gaps.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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