Journal article 865 views 206 downloads
Understanding the influential and mediating role of cultural enablers of AI integration to supply chain
International Journal of Production Research, Volume: 60 (2022), Issue: 14 (Special Issue), Pages: 1 - 29
Swansea University Author: Denis Dennehy
-
PDF | Version of Record
© 2021 The Author(s). This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License
Download (3.2MB)
DOI (Published version): 10.1080/00207543.2021.1946614
Abstract
Artificial Intelligence (AI) has been claimed to offer transformational power across industries and sectors. To date, research has largely focused on the technical characteristics of AI and its influence on organisational capabilities. Despite the hype surrounding AI, there is a scarcity of rigorous...
Published in: | International Journal of Production Research |
---|---|
ISSN: | 0020-7543 1366-588X |
Published: |
Informa UK Limited
2021
|
Online Access: |
Check full text
|
URI: | https://cronfa.swan.ac.uk/Record/cronfa59603 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
first_indexed |
2022-03-14T14:39:56Z |
---|---|
last_indexed |
2023-01-11T14:41:00Z |
id |
cronfa59603 |
recordtype |
SURis |
fullrecord |
<?xml version="1.0"?><rfc1807><datestamp>2023-01-04T11:03:42.6642986</datestamp><bib-version>v2</bib-version><id>59603</id><entry>2022-03-14</entry><title>Understanding the influential and mediating role of cultural enablers of AI integration to supply chain</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>2022-03-14</date><deptcode>BBU</deptcode><abstract>Artificial Intelligence (AI) has been claimed to offer transformational power across industries and sectors. To date, research has largely focused on the technical characteristics of AI and its influence on organisational capabilities. Despite the hype surrounding AI, there is a scarcity of rigorous research that examines the organisational and behavioural factors that foster AI integration in supply chains is lacking. This quantitative study addresses this gap in knowledge by developing a research hypothesis that examines the relationships between supply chain culture and AI. We extend the generalisability of culture to provide novel insights about AI-driven supply chains that have not been reported in previous studies. The findings demonstrate the influential role that cultural enablers have on the successful integration of AI technologies in supply chains, which has implications for operations and supply chain management.</abstract><type>Journal Article</type><journal>International Journal of Production Research</journal><volume>60 (2022)</volume><journalNumber>14 (Special Issue)</journalNumber><paginationStart>1</paginationStart><paginationEnd>29</paginationEnd><publisher>Informa UK Limited</publisher><placeOfPublication/><isbnPrint/><isbnElectronic/><issnPrint>0020-7543</issnPrint><issnElectronic>1366-588X</issnElectronic><keywords>Artificial intelligence; AI; supply chains; culture; operations management</keywords><publishedDay>13</publishedDay><publishedMonth>7</publishedMonth><publishedYear>2021</publishedYear><publishedDate>2021-07-13</publishedDate><doi>10.1080/00207543.2021.1946614</doi><url/><notes/><college>COLLEGE NANME</college><department>Business</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>BBU</DepartmentCode><institution>Swansea University</institution><apcterm/><funders/><projectreference/><lastEdited>2023-01-04T11:03:42.6642986</lastEdited><Created>2022-03-14T14:39:35.9791036</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>Trevor</firstname><surname>Cadden</surname><order>1</order></author><author><firstname>Denis</firstname><surname>Dennehy</surname><orcid>0000-0001-9931-762X</orcid><order>2</order></author><author><firstname>Matti</firstname><surname>Mantymaki</surname><orcid>0000-0002-1981-566x</orcid><order>3</order></author><author><firstname>Raymond</firstname><surname>Treacy</surname><order>4</order></author></authors><documents><document><filename>59603__23674__6934f411de7c4cc9aa5163f462d83b8b.pdf</filename><originalFilename>59603.pdf</originalFilename><uploaded>2022-03-25T16:54:04.7184179</uploaded><type>Output</type><contentLength>3355602</contentLength><contentType>application/pdf</contentType><version>Version of Record</version><cronfaStatus>true</cronfaStatus><documentNotes>© 2021 The Author(s). This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License</documentNotes><copyrightCorrect>true</copyrightCorrect><language>eng</language><licence>http://creativecommons.org/licenses/by-nc-nd/4.0/</licence></document></documents><OutputDurs/></rfc1807> |
spelling |
2023-01-04T11:03:42.6642986 v2 59603 2022-03-14 Understanding the influential and mediating role of cultural enablers of AI integration to supply chain ba782cbe94139075e5418dc9274e8304 0000-0001-9931-762X Denis Dennehy Denis Dennehy true false 2022-03-14 BBU Artificial Intelligence (AI) has been claimed to offer transformational power across industries and sectors. To date, research has largely focused on the technical characteristics of AI and its influence on organisational capabilities. Despite the hype surrounding AI, there is a scarcity of rigorous research that examines the organisational and behavioural factors that foster AI integration in supply chains is lacking. This quantitative study addresses this gap in knowledge by developing a research hypothesis that examines the relationships between supply chain culture and AI. We extend the generalisability of culture to provide novel insights about AI-driven supply chains that have not been reported in previous studies. The findings demonstrate the influential role that cultural enablers have on the successful integration of AI technologies in supply chains, which has implications for operations and supply chain management. Journal Article International Journal of Production Research 60 (2022) 14 (Special Issue) 1 29 Informa UK Limited 0020-7543 1366-588X Artificial intelligence; AI; supply chains; culture; operations management 13 7 2021 2021-07-13 10.1080/00207543.2021.1946614 COLLEGE NANME Business COLLEGE CODE BBU Swansea University 2023-01-04T11:03:42.6642986 2022-03-14T14:39:35.9791036 Faculty of Humanities and Social Sciences School of Management - Business Management Trevor Cadden 1 Denis Dennehy 0000-0001-9931-762X 2 Matti Mantymaki 0000-0002-1981-566x 3 Raymond Treacy 4 59603__23674__6934f411de7c4cc9aa5163f462d83b8b.pdf 59603.pdf 2022-03-25T16:54:04.7184179 Output 3355602 application/pdf Version of Record true © 2021 The Author(s). This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License true eng http://creativecommons.org/licenses/by-nc-nd/4.0/ |
title |
Understanding the influential and mediating role of cultural enablers of AI integration to supply chain |
spellingShingle |
Understanding the influential and mediating role of cultural enablers of AI integration to supply chain Denis Dennehy |
title_short |
Understanding the influential and mediating role of cultural enablers of AI integration to supply chain |
title_full |
Understanding the influential and mediating role of cultural enablers of AI integration to supply chain |
title_fullStr |
Understanding the influential and mediating role of cultural enablers of AI integration to supply chain |
title_full_unstemmed |
Understanding the influential and mediating role of cultural enablers of AI integration to supply chain |
title_sort |
Understanding the influential and mediating role of cultural enablers of AI integration to supply chain |
author_id_str_mv |
ba782cbe94139075e5418dc9274e8304 |
author_id_fullname_str_mv |
ba782cbe94139075e5418dc9274e8304_***_Denis Dennehy |
author |
Denis Dennehy |
author2 |
Trevor Cadden Denis Dennehy Matti Mantymaki Raymond Treacy |
format |
Journal article |
container_title |
International Journal of Production Research |
container_volume |
60 (2022) |
container_issue |
14 (Special Issue) |
container_start_page |
1 |
publishDate |
2021 |
institution |
Swansea University |
issn |
0020-7543 1366-588X |
doi_str_mv |
10.1080/00207543.2021.1946614 |
publisher |
Informa UK Limited |
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 |
1 |
active_str |
0 |
description |
Artificial Intelligence (AI) has been claimed to offer transformational power across industries and sectors. To date, research has largely focused on the technical characteristics of AI and its influence on organisational capabilities. Despite the hype surrounding AI, there is a scarcity of rigorous research that examines the organisational and behavioural factors that foster AI integration in supply chains is lacking. This quantitative study addresses this gap in knowledge by developing a research hypothesis that examines the relationships between supply chain culture and AI. We extend the generalisability of culture to provide novel insights about AI-driven supply chains that have not been reported in previous studies. The findings demonstrate the influential role that cultural enablers have on the successful integration of AI technologies in supply chains, which has implications for operations and supply chain management. |
published_date |
2021-07-13T04:17:03Z |
_version_ |
1763754139381137408 |
score |
11.037297 |