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Are artificial intelligence and machine learning suitable to tackle the COVID-19 impacts? : an agriculture supply chain perspective
Nayal, Kirti; Raut, Rakesh D.; Queiroz, Maciel M.; … - In: The international journal of logistics management 34 (2023) 2, pp. 304-335
Persistent link: https://www.econbiz.de/10014281119
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Analyzing the enablers of circular supply chain using Neutrosophic-ISM method : lessons from the Indian apparel industry
Dohale, Vishwas; Ambilkar, Priya; Kumar, Ashwani; … - In: The international journal of logistics management 34 (2023) 3, pp. 611-643
Persistent link: https://www.econbiz.de/10014281180
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An examination of drivers and barriers to reducing carbon emissions in China's manufacturing sector
Subramanian, Nachiappan; Abdulrahman, Muhammad - In: The international journal of logistics management 28 (2017) 4, pp. 1168-1196
Persistent link: https://www.econbiz.de/10011751504
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Greening warehouses through energy efficiency and environmental impact reduction : a conceptual framework based on a systematic literature review
Perotti, Sara; Colicchia, Claudia - In: The international journal of logistics management 34 (2023) 7, pp. 199-234
Persistent link: https://www.econbiz.de/10014484501
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Logistics 4.0 in warehousing : a conceptual framework of influencing factors, benefits and barriers
Perotti, Sara; Bastidas Santacruz, Roman Felipe; … - In: The international journal of logistics management 33 (2022) 5, pp. 193-220
Persistent link: https://www.econbiz.de/10013552740