인공지능 활용이 의사결정 속도에 미치는 영향에 대한 탐색적 연구

초록

This study investigates the impact of human–AI collaboration on individual decision-making speed and the psychological traits that govern this relationship. Through a controlled experiment based on 2,046 individual observations nested within 233 participants, we find that AI collaboration significantly accelerates decision-making, highlighting its potential to enhance cognitive efficiency. However, this efficiency gain is not uniform; indecisiveness significantly moderates the effect by attenuating the acceleration gain. Specifically, highly indecisive individuals perceive AI suggestions as additional information requiring repetitive verification, thereby offsetting the time-saving benefits. In contrast, while performance expectancy directly influences speed, it does not yield a significant moderating role. These findings identify indecisiveness as a critical boundary condition and underscore the importance of accounting for psychological heterogeneity in AI-enabled organizational workflows.

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