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The impending disruption of creative industries by generative AI: Opportunities, challenges, and research agenda
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“Moreover, Amankwah-Amoah et al. (2024) explored the impact of generative AI models on creative industries, emphasising the prospective adverse consequences of such technologies on the labour market and the facilitation of creative procedures.”
From Development of the Artificial Intelligence Perception and Attitude Scale (AIPAS) (2025) · cites this paper as Amankwah-Amoah et al. (2024)
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Metadata
- Authors
- Amankwah-Amoah, J., Abdalla, S., Mogaji, E., Elbanna, A., & Dwivedi, Y. K.
- Affiliations
- Canterbury Christ Church University (GB)
- Keele University (GB)
- Royal Holloway University of London (GB)
- Symbiosis International University (IN)
- Corresponding author
- Abdalla, Samar
- Mogaji, Emmanuel
- Elbanna, Amany
- Dwivedi, Yogesh K.
- Venue
- International Journal of Information Management
- Publisher
- Elsevier BV
- Published
- 2024-12
- Volume
- 79
- Pages
- 102759
- ISSN
- 0268-4012 (ISSN-L)
- OpenAlex
- W4391644905
- Cited by
- 305
- References
- 66
- Citations by year
- 2026: 115 · 2025: 143 · 2024: 44
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- International Journal of Information Management (publishedVersion)
- Durham Research Online (Durham University) (submittedVersion)
- Topics
- Social Sciences › Urban Studies › Cultural Industries and Urban Development
- Physical Sciences › Computer Science › Artificial Intelligence › Artificial Intelligence Applications
- Social Sciences › Communication › Technology's Impact on Media
- Keywords
- generative AI, creative industries, artificial intelligence adoption, human creativity, human-AI collaboration, authenticity, workflow automation, creative process, research agenda
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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