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Artificial intelligence in business-to-business marketing: a bibliometric analysis of current research status, development and future directions
Industrial Management & Data Systems, Volume: 121, Issue: 12
Swansea University Author: Yogesh Dwivedi
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DOI (Published version): 10.1108/imds-05-2021-0300
Abstract
Artificial intelligence in business-to-business marketing: a bibliometric analysis of current research status, development and future directions
Published in: | Industrial Management & Data Systems |
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ISSN: | 0263-5577 |
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Emerald
2021
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URI: | https://cronfa.swan.ac.uk/Record/cronfa57462 |
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2021-12-06T15:37:14.1914368 v2 57462 2021-07-27 Artificial intelligence in business-to-business marketing: a bibliometric analysis of current research status, development and future directions d154596e71b99ad1285563c8fdd373d7 0000-0002-5547-9990 Yogesh Dwivedi Yogesh Dwivedi true false 2021-07-27 BBU Journal Article Industrial Management & Data Systems 121 12 Emerald 0263-5577 Artificial intelligence, business-to-business marketing, innovation, systematic literature review, bibliometric analysis, content analysis 13 8 2021 2021-08-13 10.1108/imds-05-2021-0300 COLLEGE NANME Business COLLEGE CODE BBU Swansea University 2021-12-06T15:37:14.1914368 2021-07-27T22:40:14.5571276 Faculty of Humanities and Social Sciences School of Management - Business Management Runyue Han 1 Hugo K.S. Lam 2 Yuanzhu Zhan 3 Yichuan Wang 4 Yogesh Dwivedi 0000-0002-5547-9990 5 Kim Hua Tan 6 57462__20468__435a0e79b5384ab5b6ee1b5b194f2c42.pdf IMDS-revised version 14 July.pdf 2021-07-27T22:45:26.5170940 Output 1085783 application/pdf Accepted Manuscript true Released under the terms of a Creative Commons Attribution Non-commercial International Licence 4.0 (CC BY-NC 4.0) true eng https://creativecommons.org/licenses/by-nc/4.0/ |
title |
Artificial intelligence in business-to-business marketing: a bibliometric analysis of current research status, development and future directions |
spellingShingle |
Artificial intelligence in business-to-business marketing: a bibliometric analysis of current research status, development and future directions Yogesh Dwivedi |
title_short |
Artificial intelligence in business-to-business marketing: a bibliometric analysis of current research status, development and future directions |
title_full |
Artificial intelligence in business-to-business marketing: a bibliometric analysis of current research status, development and future directions |
title_fullStr |
Artificial intelligence in business-to-business marketing: a bibliometric analysis of current research status, development and future directions |
title_full_unstemmed |
Artificial intelligence in business-to-business marketing: a bibliometric analysis of current research status, development and future directions |
title_sort |
Artificial intelligence in business-to-business marketing: a bibliometric analysis of current research status, development and future directions |
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d154596e71b99ad1285563c8fdd373d7 |
author_id_fullname_str_mv |
d154596e71b99ad1285563c8fdd373d7_***_Yogesh Dwivedi |
author |
Yogesh Dwivedi |
author2 |
Runyue Han Hugo K.S. Lam Yuanzhu Zhan Yichuan Wang Yogesh Dwivedi Kim Hua Tan |
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container_title |
Industrial Management & Data Systems |
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121 |
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12 |
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2021 |
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Swansea University |
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0263-5577 |
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10.1108/imds-05-2021-0300 |
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Emerald |
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Faculty of Humanities and Social Sciences |
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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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published_date |
2021-08-13T04:13:13Z |
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11.036684 |