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Artificial intelligence and big data analytics for supply chain resilience: a systematic literature review

Efpraxia D. Zamani Orcid Logo, Conn Smyth Orcid Logo, Samrat Gupta Orcid Logo, Denis Dennehy Orcid Logo

Annals of Operations Research, Volume: 327

Swansea University Author: Denis Dennehy Orcid Logo

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DOI (Published version): 10.1007/s10479-022-04983-y

Published in: Annals of Operations Research
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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first_indexed 2022-10-06T15:37:08Z
last_indexed 2023-01-13T19:21:44Z
id cronfa61155
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spelling 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 BBU 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 Business COLLEGE CODE BBU Swansea University Another institution paid the OA fee The authors have no relevant financial or non-financial interests to disclose. 2023-09-04T16:57:28.5415026 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 Under embargo Under embargo 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
author_id_str_mv ba782cbe94139075e5418dc9274e8304
author_id_fullname_str_mv ba782cbe94139075e5418dc9274e8304_***_Denis Dennehy
author Denis Dennehy
author2 Efpraxia D. Zamani
Conn Smyth
Samrat Gupta
Denis Dennehy
format Journal article
container_title Annals of Operations Research
container_volume 327
publishDate 2022
institution Swansea University
issn 0254-5330
1572-9338
doi_str_mv 10.1007/s10479-022-04983-y
publisher Springer Science and Business Media LLC
college_str Faculty of Humanities and Social Sciences
hierarchytype
hierarchy_top_id facultyofhumanitiesandsocialsciences
hierarchy_top_title Faculty of Humanities and Social Sciences
hierarchy_parent_id facultyofhumanitiesandsocialsciences
hierarchy_parent_title Faculty of Humanities and Social Sciences
department_str School of Management - Business Management{{{_:::_}}}Faculty of Humanities and Social Sciences{{{_:::_}}}School of Management - Business Management
document_store_str 0
active_str 0
published_date 2022-09-30T16:57:30Z
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score 11.012924

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