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Integrating Artificial Intelligence with Organisational Knowledge: A Framework for Practical and Theoretical Advancement
Conference paper   Open access

Integrating Artificial Intelligence with Organisational Knowledge: A Framework for Practical and Theoretical Advancement

Hasini Balage and Darshana Sedera
pp.12-13
Australasian Conference on Information Systems, 36 (Brisbane, 01/12/2025–05/12/2025)
04/12/2025
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Integrating Artificial Intelligence with Organisational Knowledge: A Framework for Practical and Theoretical AdvancementCC BY V4.0,  Open

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Abstract

Artificial Intelligence Knowledge, Knowledge Management AI-Integration Organisation Information systems
Artificial intelligence (AI) has the capacity to fundamentally reconfigure knowledge practices. Despite significant investment in knowledge management (KM), the useful integration of AI into existing infrastructures remains complex. This paper addresses: How do organisations meaningfully integrate AI into operational practices, in light of the existing organisational knowledge? Employing grounded theory with the Gioia methodology on 1 AI success stories, an exhaustive list of 1st-order concepts was systematically abstracted into coherent 2nd-order concepts, which in turn informed our final aggregate dimensions. Findings indicate that AI integration manifests in four distinct strategic archetypes, shaped by three key organisational choices - (1) the scope of the knowledge process (horizontal vs. vertical), (2) the workflow configuration (automation vs. augmentation), and (3) the role of human verification. This yields four strategies: (1) human-verified vertical augmentation, (2) human-verified horizontal augmentation, (3) human-verified horizontal automation, and (4) non-human-verified horizontal automation.

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