articleJournal of Product Innovation ManagementJan 10, 2023HYBRID OA

Augmenting human innovation teams with artificial intelligence: Exploring transformer‐based language models

SGSebastian Gregor BouscheryVBVera BlaževićFTFrank T. Piller

RWTH Aachen University · Radboud University Nijmegen

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Abstract

Abstract 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…

Citation impact

373
total citations
FWCI
162.35
Percentile
100%
References
42
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Authors

3

Topics & keywords

Topics
Keywords
  • Automatic summarization
  • Computer science
  • New product development
  • Disk formatting
  • Knowledge management
  • Artificial intelligence
  • Transformer
  • Product innovation
UN Sustainable Development Goals
  • Industry, innovation and infrastructure
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