Abstract
This study develops a formal model to examine how immersive digital technologies (IDTs) facilitate tacit knowledge transfer and generate value in complex task environments. Centered on task complexity, the model identifies conditions under which IDT investments mitigate error costs and augment human expertise. It reveals nonlinear trade-offs between complexity, error sensitivity, and investment effectiveness, offering threshold conditions for strategic technology adoption. Tacit knowledge transfer is conceptualized not merely as a social process but as an engineerable optimization problem. We also suggest future research to investigate the dynamic interplay between team learning processes and the evolving nature of tacit knowledge.
| Original language | English |
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| Title of host publication | Proceedings of the Decision Sciences Institute 56th Annual Conference |
| Pages | 1309-1325 |
| State | Published - Nov 23 2025 |