Ripples of Change – An AI Job Crafting Model for Human-in-Control

Date
2022-01-04
Authors
Afiouni, Rania
Pinsonneault, Alain
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Abstract
Introducing a new Artificial Intelligence (AI) system disrupts workers’ sense of control. To restore it, individual workers are likely to engage in self-initiated changes to their jobs. We build on job crafting theory and extend it to propose a theoretical model explaining the ripple effect of changes from tasks to skills, relationships, and finally job cognition. We introduce the concept of human-in-control (one’s perception of their ability to deliver desired work outcomes in a work context involving AI) as the goal of the job crafting process. Our work provides a novel and important perspective on job transformation with AI. As such, it opens numerous avenues for research in this nascent stream.
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Design and Appropriation of Knowledge and AI Systems, adaptation, artificial intelligence, future of work, job crafting, ripple effect
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10 pages
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Proceedings of the 55th Hawaii International Conference on System Sciences
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Attribution-NonCommercial-NoDerivatives 4.0 International
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