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Generative artificial intelligence in innovation management: A preview of future research developments
Open accessAbstract
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.
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Iqbal, J., Hashmi, Z. F., Asghar, M. Z., & Abid, M. N. (2025) · Scientific Reports · doi:10.1038/s41598-025-01676-x · Cited by 82
Zhang, W., Zhang, W., Daim, T., & Yalçın, H. (2025) · Journal of Knowledge Management · doi:10.1108/jkm-02-2024-0203 · Cited by 66
Generative AI for Consumer Behavior Prediction: Techniques and Applications
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AI and sustainable business model innovation: A systematic literature review
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Cyber-Creativity: A Decalogue of Research Challenges
Corazza, G. E., Agnoli, S., Jorge Artigau, A., Beghetto, R. A., Bonnardel, N., Coletto, I., Faiella, A., Gerardini, K., Gilhooly, K., Glăveanu, V. P., et al. (2025) · Journal of Intelligence · doi:10.3390/jintelligence13080103 · Cited by 14
Metadata
- Authors
- Mariani, M., & Dwivedi, Y. K.
- Venue
- Journal of Business Research
- Publisher
- Elsevier BV
- Published
- 2024-03
- Volume
- 175
- Pages
- 114542
- ISSN
- 0148-2963 (ISSN-L)
- OpenAlex
- W4391830676
- Cited by
- 409
- References
- 123
- FWCI
- 60.87
- Type
- journal article
- Language
- en
- Open access
- hybrid
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/legal/tdmrep-license (tdm)
- creativecommons.org/licenses/by/4.0/ (vor)
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