Beyond the creativity paradox: a theory-informed framework for role-based integration of generative AI in organisational creativity

Article


Choi, Y.T., Park, C.W., Turan, C.P. and Lee, H. 2026. Beyond the creativity paradox: a theory-informed framework for role-based integration of generative AI in organisational creativity. Information Systems Frontiers. https://doi.org/10.1007/s10796-026-10746-y
TypeArticle
TitleBeyond the creativity paradox: a theory-informed framework for role-based integration of generative AI in organisational creativity
AuthorsChoi, Y.T., Park, C.W., Turan, C.P. and Lee, H.
Abstract

Generative Artificial Intelligence (GenAI) is reshaping organisational creativity by emulating cognitive processes traditionally associated with human innovation. This study revisits foundational creativity theories to develop a framework for integrating GenAI into creative workflows. Drawing on structural parallels between GenAI architectures and human cognition - such as heuristic search, divergent thinking, and iterative refinement - the paper repositions GenAI as a cognitive collaborator rather than merely a productivity tool. A role-based integration model aligns GenAI capabilities with key creative functions: idea generation, synthesis, strategic framing, and facilitation. The framework also addresses emerging tensions captured in the Creativity Paradox, whereby GenAI may weaken intrinsic motivation, conceptual risk-taking, and evaluative depth. The study contributes by reinterpreting process-oriented creativity theories through structural parallels with GenAI, proposing a role-based framework for organisational use, and extending paradox theory to conceptualise the Creativity Paradox in this context. Together, these insights provide theoretical clarity and practical guidance for responsible GenAI integration.

Sustainable Development Goals9 Industry, innovation and infrastructure
Middlesex University ThemeCreativity, Culture & Enterprise
PublisherSpringer
JournalInformation Systems Frontiers
ISSN1387-3326
Electronic1572-9419
Publication dates
Online25 Apr 2026
Publication process dates
Submitted06 May 2026
Accepted15 Apr 2026
Deposited30 Apr 2026
Output statusPublished
Publisher's version
License
File Access Level
Open
Copyright Statement

This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

Digital Object Identifier (DOI)https://doi.org/10.1007/s10796-026-10746-y
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