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Human–machine collaboration and algorithmic decision-making: The role of organizational incentives and AI capabilities
- Truvace record
- TRV-2026-2689raw data (JSON)
- Version
- v1Published
- First published
- Evidence type
- Randomized controlled trial
- Sources
- 1 sourcePeer-reviewed
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Despite growing investment in artificial intelligence (AI), organizations have yet to realize its potential for complex decision-making. We draw on the absorptive capacity (ACAP) view to conceptualize AI systems as organizational knowledge structures and incentive policies as knowledge transfer mechanisms, examining their effects on human–machine collaboration over time. We conduct a randomized controlled experiment wherein financially incentivized participants evaluate 100 loan applications with AI assistance o…
The gain
In a randomized controlled experiment where paid participants evaluated 100 loan applications with AI assistance over 10 decision rounds, human-AI joint performance improved as experience accumulated.
Sources
1 on file- Information & Managementdoi:10.1016/j.im.2026.104384
Cite this record
v1Truvace Impact Record TRV-2026-2689, v1: “Human–machine collaboration and algorithmic decision-making: The role of organizational incentives and AI capabilities.” Truvace, 2026-11-12. /record/TRV-2026-2689 (accessed on the day you copy it). sha256 f5bb9565a4fdc6c6…
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