The study analyzes the introduction of Microsoft 365 Copilot in a non-university research organization using a repeated cross-sectional employee survey. We assess usefulness, ease of use, output quality and reliability, and usefulness for typical knowledge-work activities. Administrative staff report higher usefulness and reliability, whereas scientific staff develop more positive assessments over time, especially regarding productivity and workload reduction. Copilot is widely viewed as user-friendly and technically reliable, with greatest added value for clearly structured, text-based tasks. The findings highlight learning and routinization effects when embedding generative AI into work processes and stress the need for context-sensitive implementation, role-specific training and governance to foster sustainable acceptance of generative AI in knowledge-intensive organizations.

翻译：本研究通过一项重复的横截面员工调查，分析了Microsoft 365 Copilot在一所非大学研究机构中的引入情况。我们评估了其有用性、易用性、输出质量与可靠性，以及对典型知识工作活动的实用性。行政人员报告了更高的实用性和可靠性，而科研人员随着时间的推移形成了更积极的评价，尤其在提升生产力和减轻工作负担方面。Copilot被广泛认为用户友好且技术可靠，在为结构清晰、基于文本的任务提供支持时体现出最大的附加价值。研究结果凸显了将生成式人工智能嵌入工作流程时产生的学习与常规化效应，并强调需要结合具体情境进行实施、提供针对特定角色的培训以及建立治理机制，以促进生成式人工智能在知识密集型组织中获得可持续的接受。