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

Marcello Mariani Orcid Logo, Yogesh Dwivedi

Journal of Business Research, Volume: 175

Swansea University Author: Yogesh Dwivedi

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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
first_indexed 2024-02-05T09:46:50Z
last_indexed 2024-11-25T14:16:22Z
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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 2024-03-01T05:14:36Z
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score 11.090091

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