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Artificial intelligence and big data analytics for supply chain resilience: a systematic literature review
Annals of Operations Research, Volume: 327
Swansea University Author: Denis Dennehy
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DOI (Published version): 10.1007/s10479-022-04983-y
Abstract
Artificial intelligence and big data analytics for supply chain resilience: a systematic literature review
Published in: | Annals of Operations Research |
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ISSN: | 0254-5330 1572-9338 |
Published: |
Springer Science and Business Media LLC
2022
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URI: | https://cronfa.swan.ac.uk/Record/cronfa61155 |
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v2 61155 2022-09-07 Artificial intelligence and big data analytics for supply chain resilience: a systematic literature review ba782cbe94139075e5418dc9274e8304 0000-0001-9931-762X Denis Dennehy Denis Dennehy true false 2022-09-07 CBAE Journal Article Annals of Operations Research 327 Springer Science and Business Media LLC 0254-5330 1572-9338 Artificial intelligence; Supply chain resilience; Big data analytics; Systematic literature review; Emerging technologies; Supply chain disruptions 30 9 2022 2022-09-30 10.1007/s10479-022-04983-y COLLEGE NANME Management School COLLEGE CODE CBAE Swansea University Another institution paid the OA fee The authors have no relevant financial or non-financial interests to disclose. 2024-07-17T13:18:46.8157555 2022-09-07T10:55:50.1172302 Faculty of Humanities and Social Sciences School of Management - Business Management Efpraxia D. Zamani 0000-0003-3110-7495 1 Conn Smyth 0000-0001-7072-6606 2 Samrat Gupta 0000-0002-3999-1177 3 Denis Dennehy 0000-0001-9931-762X 4 61155__25340__477d6835c4ee483eb1a35d9ba94d490a.pdf 61155.pdf 2022-10-06T16:49:00.0170617 Output 1082266 application/pdf Accepted Manuscript true 2023-09-30T00:00:00.0000000 true eng |
title |
Artificial intelligence and big data analytics for supply chain resilience: a systematic literature review |
spellingShingle |
Artificial intelligence and big data analytics for supply chain resilience: a systematic literature review Denis Dennehy |
title_short |
Artificial intelligence and big data analytics for supply chain resilience: a systematic literature review |
title_full |
Artificial intelligence and big data analytics for supply chain resilience: a systematic literature review |
title_fullStr |
Artificial intelligence and big data analytics for supply chain resilience: a systematic literature review |
title_full_unstemmed |
Artificial intelligence and big data analytics for supply chain resilience: a systematic literature review |
title_sort |
Artificial intelligence and big data analytics for supply chain resilience: a systematic literature review |
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ba782cbe94139075e5418dc9274e8304 |
author_id_fullname_str_mv |
ba782cbe94139075e5418dc9274e8304_***_Denis Dennehy |
author |
Denis Dennehy |
author2 |
Efpraxia D. Zamani Conn Smyth Samrat Gupta Denis Dennehy |
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Journal article |
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Annals of Operations Research |
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327 |
publishDate |
2022 |
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Swansea University |
issn |
0254-5330 1572-9338 |
doi_str_mv |
10.1007/s10479-022-04983-y |
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Springer Science and Business Media LLC |
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Faculty of Humanities and Social Sciences |
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Faculty of Humanities and Social Sciences |
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School of Management - Business Management{{{_:::_}}}Faculty of Humanities and Social Sciences{{{_:::_}}}School of Management - Business Management |
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2022-09-30T13:18:45Z |
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11.036815 |