Augmenting human innovation teams with artificial intelligence: Exploring transformer‐based language models Article Swipe
YOU?
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· 2023
· Open Access
·
· DOI: https://doi.org/10.1111/jpim.12656
The use of transformer‐based language models in artificial intelligence (AI) has increased adoption in various industries and led to significant productivity advancements in business operations. This article explores how these models can be used to augment human innovation teams in the new product development process, allowing for larger problem and solution spaces to be explored and ultimately leading to higher innovation performance. The article proposes the use of the AI‐augmented double diamond framework to structure the exploration of how these models can assist in new product development (NPD) tasks, such as text summarization, sentiment analysis, and idea generation. It also discusses the limitations of the technology and the potential impact of AI on established practices in NPD. The article establishes a research agenda for exploring the use of language models in this area and the role of humans in hybrid innovation teams. (Note: Following the idea of this article, GPT‐3 alone generated this abstract. Only minor formatting edits were performed by humans.)
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1111/jpim.12656
- https://onlinelibrary.wiley.com/doi/pdfdirect/10.1111/jpim.12656
- OA Status
- hybrid
- Cited By
- 298
- References
- 42
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4319831789
Raw OpenAlex JSON
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https://openalex.org/W4319831789Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1111/jpim.12656Digital Object Identifier
- Title
-
Augmenting human innovation teams with artificial intelligence: Exploring transformer‐based language modelsWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2023Year of publication
- Publication date
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2023-01-10Full publication date if available
- Authors
-
Sebastian Gregor Bouschery, Vera Blažević, Frank T. PillerList of authors in order
- Landing page
-
https://doi.org/10.1111/jpim.12656Publisher landing page
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https://onlinelibrary.wiley.com/doi/pdfdirect/10.1111/jpim.12656Direct link to full text PDF
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YesWhether a free full text is available
- OA status
-
hybridOpen access status per OpenAlex
- OA URL
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https://onlinelibrary.wiley.com/doi/pdfdirect/10.1111/jpim.12656Direct OA link when available
- Concepts
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Automatic summarization, Computer science, New product development, Disk formatting, Knowledge management, Artificial intelligence, Transformer, Product innovation, Business, Marketing, Engineering, Voltage, Operating system, Electrical engineeringTop concepts (fields/topics) attached by OpenAlex
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298Total citation count in OpenAlex
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2025: 147, 2024: 108, 2023: 42, 2022: 1Per-year citation counts (last 5 years)
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42Number of works referenced by this work
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-
10Other works algorithmically related by OpenAlex
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| primary_location.raw_source_name | Journal of Product Innovation Management |
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| publication_date | 2023-01-10 |
| publication_year | 2023 |
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