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Generative artificial intelligence in innovation management: A preview of future research developments

Marcello Mariani Orcid Logo, Yogesh Dwivedi Orcid Logo

Journal of Business Research, Volume: 175

Swansea University Author: Yogesh Dwivedi Orcid Logo

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DOI (Published version): 10.1016/j.jbusres.2024.114542

Abstract

This study outlines the future research opportunities related to Generative Artificial Intelligence (GenAI) in innovation management. To this end, it combines a review of the academic literature with the results of a Delphi study involving leading innovation management scholars. Ten major research t...

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Published in: Journal of Business Research
ISSN: 0148-2963
Published: Elsevier BV 2024
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URI: https://cronfa.swan.ac.uk/Record/cronfa65569
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first_indexed 2024-02-05T09:46:50Z
last_indexed 2024-02-05T09:46:50Z
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spelling v2 65569 2024-02-05 Generative artificial intelligence in innovation management: A preview of future research developments d154596e71b99ad1285563c8fdd373d7 0000-0002-5547-9990 Yogesh Dwivedi Yogesh Dwivedi true false 2024-02-05 BBU This study outlines the future research opportunities related to Generative Artificial Intelligence (GenAI) in innovation management. To this end, it combines a review of the academic literature with the results of a Delphi study involving leading innovation management scholars. Ten major research themes emerged that can guide future research developments at the intersection of GenAI and innovation management: 1) Gen AI and innovation types; 2) GenAI, dominant designs and technology evolution; 3) Scientific and artistic creativity and GenAI-enabled innovations; 4) GenAI-enabled innovations and intellectual property; 5) GenAI and new product development; 6) Multimodal/unimodal GenAI and innovation outcomes; 7) GenAI, agency and ecosystems; 8) Policymakers, lawmakers and anti-trust authorities in the regulation of GenAI-enabled innovation; 9) Misuse and unethical use of GenAI leading to biased innovation; and 10) Organizational design and boundaries for GenAI-enabled innovation. The paper concludes by discussing how these themes can inform theoretical development in innovation management studies. Journal Article Journal of Business Research 175 Elsevier BV 0148-2963 Generative artificial intelligence; Delphi study; Management; Innovation 1 3 2024 2024-03-01 10.1016/j.jbusres.2024.114542 COLLEGE NANME Business COLLEGE CODE BBU Swansea University 2024-04-07T11:53:07.2737787 2024-02-05T09:45:11.9438773 Faculty of Humanities and Social Sciences School of Management - Business Management Marcello Mariani 0000-0002-7916-2576 1 Yogesh Dwivedi 0000-0002-5547-9990 2 65569__29935__b9de2c7cabe845179fbb92dca0b9310f.pdf 65569.VOR.pdf 2024-04-07T11:51:31.8015875 Output 2052581 application/pdf Version of Record true © 2024 The Author(s). This is an open access article under the CC BY license. true eng http://creativecommons.org/licenses/by/4.0/
title Generative artificial intelligence in innovation management: A preview of future research developments
spellingShingle Generative artificial intelligence in innovation management: A preview of future research developments
Yogesh Dwivedi
title_short Generative artificial intelligence in innovation management: A preview of future research developments
title_full Generative artificial intelligence in innovation management: A preview of future research developments
title_fullStr Generative artificial intelligence in innovation management: A preview of future research developments
title_full_unstemmed Generative artificial intelligence in innovation management: A preview of future research developments
title_sort Generative artificial intelligence in innovation management: A preview of future research developments
author_id_str_mv d154596e71b99ad1285563c8fdd373d7
author_id_fullname_str_mv d154596e71b99ad1285563c8fdd373d7_***_Yogesh Dwivedi
author Yogesh Dwivedi
author2 Marcello Mariani
Yogesh Dwivedi
format Journal article
container_title Journal of Business Research
container_volume 175
publishDate 2024
institution Swansea University
issn 0148-2963
doi_str_mv 10.1016/j.jbusres.2024.114542
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
description This study outlines the future research opportunities related to Generative Artificial Intelligence (GenAI) in innovation management. To this end, it combines a review of the academic literature with the results of a Delphi study involving leading innovation management scholars. Ten major research themes emerged that can guide future research developments at the intersection of GenAI and innovation management: 1) Gen AI and innovation types; 2) GenAI, dominant designs and technology evolution; 3) Scientific and artistic creativity and GenAI-enabled innovations; 4) GenAI-enabled innovations and intellectual property; 5) GenAI and new product development; 6) Multimodal/unimodal GenAI and innovation outcomes; 7) GenAI, agency and ecosystems; 8) Policymakers, lawmakers and anti-trust authorities in the regulation of GenAI-enabled innovation; 9) Misuse and unethical use of GenAI leading to biased innovation; and 10) Organizational design and boundaries for GenAI-enabled innovation. The paper concludes by discussing how these themes can inform theoretical development in innovation management studies.
published_date 2024-03-01T11:53:04Z
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score 11.012678

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