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| Main Authors: | , , , , |
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| Format: | Preprint |
| Published: |
2026
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2602.18576 |
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| _version_ | 1866908846042120192 |
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| author | Schmidt, Carsten F. Petzolt, Sophie Beinhauer, Wolfgang Weber, Ingo Langer, Stefan |
| author_facet | Schmidt, Carsten F. Petzolt, Sophie Beinhauer, Wolfgang Weber, Ingo Langer, Stefan |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2602_18576 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Generative AI in Knowledge Work: Perception, Usefulness, and Acceptance of Microsoft 365 Copilot Schmidt, Carsten F. Petzolt, Sophie Beinhauer, Wolfgang Weber, Ingo Langer, Stefan Computers and Society 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. |
| title | Generative AI in Knowledge Work: Perception, Usefulness, and Acceptance of Microsoft 365 Copilot |
| topic | Computers and Society |
| url | https://arxiv.org/abs/2602.18576 |