Top-Down Influence? Predicting CEO Personality and Risk Impact from Speech Transcripts
Data and Web Science Group, University of Mannheim（曼海姆大学数据与网络科学组）；MilaNLP, Bocconi University（博科尼大学MilaNLP）
英文摘要：
How much does a CEO's personality impact the performance of their company? Management theory posits a great influence, but it is difficult to show empirically -- there is a lack of publicly available self-reported personality data of top managers. Instead, we propose a text-based personality regressor using crowd-sourced Myers--Briggs Type Indicator (MBTI) assessments. The ratings have a high internal and external validity and can be predicted with moderate to strong correlations for three out of four dimensions. Providing evidence for the upper echelons theory, we demonstrate that the predicted CEO personalities have explanatory power of financial risk.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
