380.256 PEOPLE
| People | Locations | Statistics |
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| Seuring, Stefan |
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| Nor Azizi, S. |
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| Pato, Margarida Vaz |
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| Kölker, Katrin |
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| Huber, Oliver |
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| Király, Tamás |
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| Spengler, Thomas Stefan |
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| Al-Ammar, Essam A. |
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| Dargahi, Fatemeh |
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| Mota, Rui |
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| Mazalan, Nurul Aliah Amirah |
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| Macharis, Cathy | Brussels |
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| Arunasari, Yova Tri |
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| Nunez, Alfredo | Delft |
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| Bouhorma, Mohammed |
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| Bonato, Matteo |
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| Fitriani, Ira |
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| Autor Correspondente Coelho, Sílvia. |
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| Pond, Stephen |
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| Okwara, Ukoha Kalu |
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| Toufigh, Vahid |
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| Campisi, Tiziana | Enna |
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| Ermolieva, Tatiana |
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| Sánchez-Cambronero, Santos |
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| Agzamov, Akhror |
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Kamble, Sachin S.
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (10/10 displayed)
- 2024A deep learning-based approach for performance assessment and prediction: A case study of pulp and paper industriescitations
- 2024Artificial intelligence-driven innovation for enhancing supply chain resilience and performance under the effect of supply chain dynamism: an empirical investigationcitations
- 2023A prescriptive analytics approach to solve the continuous berth allocation and yard assignment problem using integrated carbon emissions policiescitations
- 2023Blockchain technology’s impact on supply chain integration and sustainable supply chain performance: evidence from the automotive industrycitations
- 2023Responsive strategies for new normal cold supply chain using greenfield, network optimization, and simulation analysiscitations
- 2022Blockchain Technology for Enhancing Sustainability in Agricultural Supply Chainscitations
- 2021Blockchain technology's impact on supply chain integration and sustainable supply chain performance: evidence from the automotive industrycitations
- 2021Blockchain technology’s impact on supply chain integration and sustainable supply chain performance: Evidence from the automotive industrycitations
- 2021Internet of things for perishable inventory management systems: an application and managerial insights for micro, small and medium enterprisescitations
- 2021An ensemble machine learning approach for forecasting credit risk of agricultural SMEs’ investments in agriculture 4.0 through supply chain financecitations
Places of action
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