Sensemaking in AI-based Digital Innovations: Insights from a Manufacturing Case Study
Journal
Proceedings of the European Conference on Information Systems
Type
conference keynote
Date Issued
2023
Author(s)
Abstract
Organizations strive to innovate with Artificial Intelligence (AI) to tap new value potentials and outperform their competition. However, despite the enormous expectations associated with AI, incorporating the latter induces novel uncertainties and can even result in business value destruction. Therefore, organizations innovating with AI must manage these AI-induced uncertainties in their sensemaking process. Drawing on an exploratory case study, we investigate organizational sensemaking in two AI-based digital innovation projects at a globally leading automotive manufacturer. We account for the properties by which AI differs from traditional information systems and carve out how distinct AI properties unfold in AI-based digital innovations. We deduce four AI sensemaking mechanisms (i.e., cognition, interaction, regulation, and concretization) to understand better how AI challenges digital innovation endeavors in organizations.
Language
English (United States)
Keywords
Artificial Intelligence
Organizational Sensemaking
Digital Innovation
Case Study
Publisher
Association for Information Systems (AIS)
Official URL
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Name
SENSEMAKING IN AI-BASED DIGITAL INNOVATIONS_ INSIGHTS FROM A MANU.pdf
Size
481.34 KB
Format
Adobe PDF
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