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期刊论文|张伟等,What contextual factors affect information poverty? Evidence from ethnic villages in rural Southwest China,AI-enabled workforce: performance improvements in public sector tasks of varying innovative work behavior,Public Management Review,Sep 2025

发布时间:2025-09-18

 摘 要:As Artificial Intelligence (AI) spreads in the public sector, its role in enhancing job performance merits attention. Framing AI as augmentation rather than automation, this study draws on Cognitive Load Theory to examine AI’s value as a cognitive partner. A field experiment with 408 employees in a Southwest China public security bureau used a 2 × 2 factorial design (AI vs. no AI; simple vs. complex tasks). Results show AI assistance significantly improves performance by fostering innovative work behavior, with stronger effects under complex tasks. Findings advance theory on human-AI collaboration and guide managers in leveraging AI.

关键词:Artificial Intelligence;employee performance;task complexity;innovative work behavior;Public Sector

【本文第一作者为英国上市公司365教授,博士生导师。研究方向为科技创新与智能/数字治理;公共政策与低碳管理;公共部门组织行为与人力资源管理等。】



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