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Paper Type
ERF
Abstract
Intelligent assistants are increasingly embedded within virtual collaboration environments, functioning as cognitive teammates in knowledge-intensive work. Yet prevailing teamwork theories assume interpersonal trust is the primary driver of knowledge sharing and performance. Drawing on transactive memory systems (TMS) theory, this study examines how TMS influences knowledge sharing and knowledge application through two parallel pathways: interpersonal trust and trust in a specific intelligent assistant. TMS theory explains how teams coordinate distributed expertise. However, integrating intelligent assistants into virtual collaboration environments alters the formation of distributed expertise. This paper frames a study to test a dual-trust mediation model using data from AI-supported virtual teams.
Paper Number
1569
Recommended Citation
McWilliams, Denise and Randolph, Adriane B., "Trust in AI-Augmented Virtual Teams: A Transactive Memory Systems Perspective" (2026). AMCIS 2026 Proceedings. 7.
https://aisel.aisnet.org/amcis2026/sigcnow/sigcnow/7
Trust in AI-Augmented Virtual Teams: A Transactive Memory Systems Perspective
Intelligent assistants are increasingly embedded within virtual collaboration environments, functioning as cognitive teammates in knowledge-intensive work. Yet prevailing teamwork theories assume interpersonal trust is the primary driver of knowledge sharing and performance. Drawing on transactive memory systems (TMS) theory, this study examines how TMS influences knowledge sharing and knowledge application through two parallel pathways: interpersonal trust and trust in a specific intelligent assistant. TMS theory explains how teams coordinate distributed expertise. However, integrating intelligent assistants into virtual collaboration environments alters the formation of distributed expertise. This paper frames a study to test a dual-trust mediation model using data from AI-supported virtual teams.
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