No Cover Image

Journal article 50 views

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

Swansea University Author: Denis Dennehy Orcid Logo

  • Accepted Manuscript under embargo until: 30th September 2023
Published in: Annals of Operations Research
ISSN: 0254-5330 1572-9338
Published: Springer Science and Business Media LLC 2022
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa61155
Tags: Add Tag
No Tags, Be the first to tag this record!
first_indexed 2022-10-06T15:37:08Z
last_indexed 2023-01-13T19:21:44Z
id cronfa61155
recordtype SURis
fullrecord <?xml version="1.0"?><rfc1807><datestamp>2023-01-12T15:42:24.7258841</datestamp><bib-version>v2</bib-version><id>61155</id><entry>2022-09-07</entry><title>Artificial intelligence and big data analytics for supply chain resilience: a systematic literature review</title><swanseaauthors><author><sid>ba782cbe94139075e5418dc9274e8304</sid><ORCID>0000-0001-9931-762X</ORCID><firstname>Denis</firstname><surname>Dennehy</surname><name>Denis Dennehy</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2022-09-07</date><deptcode>BBU</deptcode><abstract/><type>Journal Article</type><journal>Annals of Operations Research</journal><volume>0</volume><journalNumber/><paginationStart/><paginationEnd/><publisher>Springer Science and Business Media LLC</publisher><placeOfPublication/><isbnPrint/><isbnElectronic/><issnPrint>0254-5330</issnPrint><issnElectronic>1572-9338</issnElectronic><keywords>Artificial intelligence; Supply chain resilience; Big data analytics; Systematic literature review; Emerging technologies; Supply chain disruptions</keywords><publishedDay>30</publishedDay><publishedMonth>9</publishedMonth><publishedYear>2022</publishedYear><publishedDate>2022-09-30</publishedDate><doi>10.1007/s10479-022-04983-y</doi><url/><notes/><college>COLLEGE NANME</college><department>Business</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>BBU</DepartmentCode><institution>Swansea University</institution><apcterm>Another institution paid the OA fee</apcterm><funders>The authors have no relevant financial or non-financial interests to disclose.</funders><projectreference/><lastEdited>2023-01-12T15:42:24.7258841</lastEdited><Created>2022-09-07T10:55:50.1172302</Created><path><level id="1">Faculty of Humanities and Social Sciences</level><level id="2">School of Management - Business Management</level></path><authors><author><firstname>Efpraxia D.</firstname><surname>Zamani</surname><orcid>0000-0003-3110-7495</orcid><order>1</order></author><author><firstname>Conn</firstname><surname>Smyth</surname><orcid>0000-0001-7072-6606</orcid><order>2</order></author><author><firstname>Samrat</firstname><surname>Gupta</surname><orcid>0000-0002-3999-1177</orcid><order>3</order></author><author><firstname>Denis</firstname><surname>Dennehy</surname><orcid>0000-0001-9931-762X</orcid><order>4</order></author></authors><documents><document><filename>Under embargo</filename><originalFilename>Under embargo</originalFilename><uploaded>2022-10-06T16:49:00.0170617</uploaded><type>Output</type><contentLength>1082266</contentLength><contentType>application/pdf</contentType><version>Accepted Manuscript</version><cronfaStatus>true</cronfaStatus><embargoDate>2023-09-30T00:00:00.0000000</embargoDate><copyrightCorrect>true</copyrightCorrect><language>eng</language></document></documents><OutputDurs/></rfc1807>
spelling 2023-01-12T15:42:24.7258841 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 0 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. 2023-01-12T15:42:24.7258841 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 0
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 2022-09-30T04:11:51Z
_version_ 1756962815074107392
score 10.92735