用大模型模拟高管人格，为组织研究提供可信赖的虚拟实验对象
Using Large Language Models to Construct Virtual Top Managers: A Method for Organizational Research
- 基于真实高管发言和道德基础理论构建虚拟高管
- 三阶段验证显示虚拟高管与真人决策高度一致
- 适合无法接触真实高管时的组织行为研究
本研究提出一种利用大语言模型构建真实高管虚拟人格的方法论框架。结合真实CEO言论与道德基础理论，我们生成了模拟个体领导者决策的LLM角色。通过三个阶段评估其构念效度、信度与行为真实性，将这些虚拟首席执行官与真人参与者进行对比。结果表明，经过理论支撑的虚拟人格能有效逼近人类样本中的道德判断，说明基于LLM的虚拟角色在难以直接获取高管数据的研究情境中，可作为可信且互补的研究工具。最后，论文展望了未来在组织研究中使用此类虚拟角色的潜力。
原文摘要 · Abstract (English)
This study introduces a methodological framework that uses large language models to create virtual personas of real top managers. Drawing on real CEO communications and Moral Foundations Theory, we construct LLM-based participants that simulate the decision-making of individual leaders. Across three phases, we assess construct validity, reliability, and behavioral fidelity by benchmarking these virtual CEOs against human participants. Our results indicate that theoretically scaffolded personas approximate the moral judgements observed in human samples, suggesting that LLM-based personas can serve as credible and complementary tools for organizational research in contexts where direct access to executives is limited. We conclude by outlining implications for future research using LLM-based personas in organizational settings.
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