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DC Field | Value | Language |
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dc.contributor.author | Dora, M | - |
dc.contributor.author | Kumar, A | - |
dc.contributor.author | Mangla, SK | - |
dc.contributor.author | Pant, A | - |
dc.contributor.author | Kamal, MM | - |
dc.date.accessioned | 2021-07-27T16:28:55Z | - |
dc.date.available | 2021-07-27T16:28:55Z | - |
dc.date.issued | 2021-08-10 | - |
dc.identifier.citation | Dora, M., Kumar, A., Mangla, S.K., Pant, A. and Kamal, M.M. (2021) 'Critical success factors influencing artificial intelligence adoption in food supply chains', International Journal of Production Research, 60 (in press), pp. 4621 - 4640. doi: 10.1080/00207543.2021.1959665. | en_US |
dc.identifier.issn | 0020-7543 | - |
dc.identifier.uri | https://bura.brunel.ac.uk/handle/2438/22997 | - |
dc.format.extent | 4621 - 4640 (20) | - |
dc.format.medium | Print-Electronic | - |
dc.language.iso | en | en_US |
dc.publisher | Taylor & Francis | en_US |
dc.rights | This is an Accepted Manuscript of an article published by Taylor & Francis in International Journal of Production Research on 10 Aug 2021, available online: https://www.tandfonline.com/doi/full/10.1080/00207543.2021.1959665 | - |
dc.rights.uri | https://creativecommons.org/licenses/by-nc/4.0/ | - |
dc.subject | food supply chain | en_US |
dc.subject | critical success factors | en_US |
dc.subject | artificial intelligence | en_US |
dc.subject | sustainability | en_US |
dc.subject | TOEH (Technology–Organisation–Environment–Human) | en_US |
dc.subject | rough theory | en_US |
dc.title | Critical Success Factors Influencing Artificial Intelligence Adoption in the Food Supply Chains | en_US |
dc.type | Article | en_US |
dc.identifier.doi | https://doi.org/10.1080/00207543.2021.1959665 | - |
dc.relation.isPartOf | International Journal of Production Research | - |
pubs.issue | 14 | - |
pubs.publication-status | Published | - |
pubs.volume | 60 | - |
dc.identifier.eissn | 1366-588X | - |
dc.rights.holder | Informa UK Limited | - |
Appears in Collections: | Brunel Business School Research Papers |
Files in This Item:
File | Description | Size | Format | |
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FullText.pdf | This is an Accepted Manuscript of an article published by Taylor & Francis in International Journal of Production Research on 10 Aug 2021, available online: https://www.tandfonline.com/doi/full/10.1080/00207543.2021.1959665 | 670.85 kB | Adobe PDF | View/Open |
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