Paper Type
Short
Paper Number
PACIS2025-1260
Description
This study investigates how Human-AI Collaboration (HAIC) transforms organizational innovation from a practice perspective. Drawing on empirical data from a cross-functional e-commerce team, we reveal how AI as a collaborative partner fundamentally alters innovation's temporal dynamics (shifting from discrete projects to continuous engagement), knowledge integration patterns (enabling immediate access to diverse perspectives), and adaptive responses (facilitating dynamic market responsiveness). Notably, our findings identify validating as an emergent central practice—absent from existing frameworks yet critical in our data—where continuous verification becomes the coordinating mechanism for AI-human collaborative innovation networks. Our findings contribute to Information Systems (IS) research by revealing how HAIC reconfigures individual innovation practices and interdependencies, challenging traditional assumptions about technology’s role in organizational work and offering practical insights for integrating AI-driven collaboration into innovation processes.
Recommended Citation
Zheng, Jingyu; Richter, Alexander; and Hong, Yvonne, "From Tool to Teammate: AI as Co-Innovator" (2025). PACIS 2025 Proceedings. 10.
https://aisel.aisnet.org/pacis2025/aiandml/aiandml/10
From Tool to Teammate: AI as Co-Innovator
This study investigates how Human-AI Collaboration (HAIC) transforms organizational innovation from a practice perspective. Drawing on empirical data from a cross-functional e-commerce team, we reveal how AI as a collaborative partner fundamentally alters innovation's temporal dynamics (shifting from discrete projects to continuous engagement), knowledge integration patterns (enabling immediate access to diverse perspectives), and adaptive responses (facilitating dynamic market responsiveness). Notably, our findings identify validating as an emergent central practice—absent from existing frameworks yet critical in our data—where continuous verification becomes the coordinating mechanism for AI-human collaborative innovation networks. Our findings contribute to Information Systems (IS) research by revealing how HAIC reconfigures individual innovation practices and interdependencies, challenging traditional assumptions about technology’s role in organizational work and offering practical insights for integrating AI-driven collaboration into innovation processes.
Comments
AI ML