The use of variance decomposition in the investigation of CEO effects: How large must the CEO effect be to rule out chance?
指出以往用方差分解研究CEO对企业绩效影响时，错误地将随机性归因于CEO，导致CEO效应被高估，并提出修正方法。
Variance decomposition analysis is often used to examine the degree to which CEO s influence their companies' performance (the so‐called CEO effect). Such studies play an important role in a body of literature that investigates the effect of leadership on organizations. In this paper, I argue that these previous studies have an important underlying flaw. Empirically, these studies wrongly attribute the performance effect of randomness—of chance—to the CEO . I demonstrate how randomness can affect the measured effects in a variance decomposition analysis, and I show that this is especially problematic for the measurement of CEO effects. I demonstrate how this results in a greatly inflated CEO effect and develop an approach to correct for it . Copyright © 2013 John Wiley & Sons, Ltd.