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Using artificial intelligence to detect crisis related to events: Decision making in B2B by artificial intelligence

Aydin Farrokhi, Farid Shirazi, Nick Hajli Orcid Logo, Mina Tajvidi

Industrial Marketing Management, Volume: 91, Pages: 257 - 273

Swansea University Author: Nick Hajli Orcid Logo

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DOI (Published version): 10.1016/j.indmarman.2020.09.015

Published in: Industrial Marketing Management
ISSN: 0019-8501
Published: Elsevier BV 2020
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URI: https://cronfa.swan.ac.uk/Record/cronfa55363
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first_indexed 2020-10-07T12:18:52Z
last_indexed 2020-11-25T04:12:11Z
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spelling 2020-11-24T16:42:07.9114250 v2 55363 2020-10-07 Using artificial intelligence to detect crisis related to events: Decision making in B2B by artificial intelligence 7608daaad16c0921edd18f5ac2643553 0000-0002-9818-181X Nick Hajli Nick Hajli true false 2020-10-07 BBU Journal Article Industrial Marketing Management 91 257 273 Elsevier BV 0019-8501 Big data; Artificial intelligence; Machine learning; Data mining; Sentiment analytics 1 11 2020 2020-11-01 10.1016/j.indmarman.2020.09.015 COLLEGE NANME Business COLLEGE CODE BBU Swansea University 2020-11-24T16:42:07.9114250 2020-10-07T13:14:20.7346835 Faculty of Humanities and Social Sciences School of Management - Business Management Aydin Farrokhi 1 Farid Shirazi 2 Nick Hajli 0000-0002-9818-181X 3 Mina Tajvidi 4 55363__18738__418f9c5428d3453e97494fa1ccd9bd23.pdf 55363.pdf 2020-11-24T16:36:09.3643681 Output 1301395 application/pdf Accepted Manuscript true 2022-10-06T00:00:00.0000000 ©2020 All rights reserved. All article content, except where otherwise noted, is licensed under a Creative Commons Attribution Non-Commercial No Derivatives License (CC-BY-NC-ND) true eng https://creativecommons.org/licenses/by-nc-nd/4.0/
title Using artificial intelligence to detect crisis related to events: Decision making in B2B by artificial intelligence
spellingShingle Using artificial intelligence to detect crisis related to events: Decision making in B2B by artificial intelligence
Nick Hajli
title_short Using artificial intelligence to detect crisis related to events: Decision making in B2B by artificial intelligence
title_full Using artificial intelligence to detect crisis related to events: Decision making in B2B by artificial intelligence
title_fullStr Using artificial intelligence to detect crisis related to events: Decision making in B2B by artificial intelligence
title_full_unstemmed Using artificial intelligence to detect crisis related to events: Decision making in B2B by artificial intelligence
title_sort Using artificial intelligence to detect crisis related to events: Decision making in B2B by artificial intelligence
author_id_str_mv 7608daaad16c0921edd18f5ac2643553
author_id_fullname_str_mv 7608daaad16c0921edd18f5ac2643553_***_Nick Hajli
author Nick Hajli
author2 Aydin Farrokhi
Farid Shirazi
Nick Hajli
Mina Tajvidi
format Journal article
container_title Industrial Marketing Management
container_volume 91
container_start_page 257
publishDate 2020
institution Swansea University
issn 0019-8501
doi_str_mv 10.1016/j.indmarman.2020.09.015
publisher Elsevier BV
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
published_date 2020-11-01T04:09:30Z
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score 11.0127

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