德国企业用AI提升人力管理效率，但更多为降本增效而非战略赋能。
AI-Augmented Human Resource Management? Insights from German companies
- 通过生成式AI与预测分析重构传统人力资源流程
- 410家受访企业中，87%用于提升分析效率和简化事务性工作
- 适合关注数字化转型与人机协同的HR从业者参考
本研究探讨德国企业将AI融入人力资源管理的现状。通过410份问卷调查、访谈及小组讨论发现，企业主要利用生成式AI或预测分析技术，以提升人力资源分析能力并简化日常事务。尽管具备优化人才发展的潜力，当前应用仍以效率提升与流程理性化为核心目标。组织变革因素如数字基础设施、共同决策机制及伦理考量显著影响AI采纳。研究揭示了技术变革在人力资源领域兼具赋能与工具化的双重属性：虽承诺增强预测能力，实际却多服务于运营效率提升。该研究深化了对技术变革在人力资源中模糊角色的理解。
原文摘要 · Abstract (English)
This study examines the integration of AI into Human Resource Management in German companies. We ask if and how AI-based technologies are \enquote{augmenting} human resource management. Organisations employ generative AI or predictive analytics to transform traditional human resource functions, to streamline routine tasks and to reallocate resources toward strategic, people-centred activities. Our findings from interviews and group discussions and a survey (N=410) reveal that while AI tools enhance HR analytics capabilities, their adoption mainly serves efficiency and rationalising goals. The introduction of AI tools is shaped by organisational transformation factors such as digital infrastructure, co-determination frameworks, and ethical implications. The research highlights both the strategic potential for improved talent development and the challenges posed by data governance and algorithmic transparency. Overall, this work contributes to understanding the ambiguous role of technological change in HR, which promises to augment predictive capabilities yet serves the ends of efficiency and rationalisation.
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