Green Supply Chain Management based on Artificial Intelligence of Everything
Aim/purpose – This research aims to design an analytical framework to investigate the dimensions, factors, and key indicators affecting the green supply chain based on the innovative technology of Artificial Intelligence of Everything (AIoE). Understanding the cause-and-effect relationships of all a...
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| Format: | Article |
| Language: | English |
| Published: |
Sciendo
2024-01-01
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| Series: | Journal of Economics and Management |
| Subjects: | |
| Online Access: | https://doi.org/10.22367/jem.2024.46.07 |
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| _version_ | 1832570400630898688 |
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| author | Nozari Hamed |
| author_facet | Nozari Hamed |
| author_sort | Nozari Hamed |
| collection | DOAJ |
| description | Aim/purpose – This research aims to design an analytical framework to investigate the dimensions, factors, and key indicators affecting the green supply chain based on the innovative technology of Artificial Intelligence of Everything (AIoE). Understanding the cause-and-effect relationships of all actors in this smart and sustainable system is also one of the critical goals of this research. Also, examining the key features of AIoE technology as a new hybrid technology is one of this research’s most essential features. |
| format | Article |
| id | doaj-art-fb361d7514714b9f814897090ae14a5f |
| institution | Kabale University |
| issn | 2719-9975 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | Sciendo |
| record_format | Article |
| series | Journal of Economics and Management |
| spelling | doaj-art-fb361d7514714b9f814897090ae14a5f2025-02-02T15:47:19ZengSciendoJournal of Economics and Management2719-99752024-01-0146117118810.22367/jem.2024.46.07Green Supply Chain Management based on Artificial Intelligence of EverythingNozari Hamed01Department of Management, Azad University Dubai, United Arab EmiratesAim/purpose – This research aims to design an analytical framework to investigate the dimensions, factors, and key indicators affecting the green supply chain based on the innovative technology of Artificial Intelligence of Everything (AIoE). Understanding the cause-and-effect relationships of all actors in this smart and sustainable system is also one of the critical goals of this research. Also, examining the key features of AIoE technology as a new hybrid technology is one of this research’s most essential features.https://doi.org/10.22367/jem.2024.46.07green supply chainsustainable supply chainartificial intelligence of everything (aioe)aioe-based supply chaino32 |
| spellingShingle | Nozari Hamed Green Supply Chain Management based on Artificial Intelligence of Everything Journal of Economics and Management green supply chain sustainable supply chain artificial intelligence of everything (aioe) aioe-based supply chain o32 |
| title | Green Supply Chain Management based on Artificial Intelligence of Everything |
| title_full | Green Supply Chain Management based on Artificial Intelligence of Everything |
| title_fullStr | Green Supply Chain Management based on Artificial Intelligence of Everything |
| title_full_unstemmed | Green Supply Chain Management based on Artificial Intelligence of Everything |
| title_short | Green Supply Chain Management based on Artificial Intelligence of Everything |
| title_sort | green supply chain management based on artificial intelligence of everything |
| topic | green supply chain sustainable supply chain artificial intelligence of everything (aioe) aioe-based supply chain o32 |
| url | https://doi.org/10.22367/jem.2024.46.07 |
| work_keys_str_mv | AT nozarihamed greensupplychainmanagementbasedonartificialintelligenceofeverything |