The Performance of Performance
The Performance of Performance
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性能的性能
DOI：
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发表时间：
2004
期刊：
影响因子：
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通讯作者：
Jerker Denrell
中科院分区：
文献类型：
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作者：
Jerker Denrell
正如比尔·星芭儿所观察到的那样，绩效指标的表现并不理想。它们受到测量和数据错误的影响，这使统计推断复杂化。然而，业绩衡量是必要的，而且可能是指导组织变革所必需的。尽管星芭儿注意到的错误很重要，但对于大多数性能数据的使用来说，还有其他一些考虑因素可能更具破坏性。大多数性能测量的用户感兴趣的是它们揭示了什么样的行为和能力。他们使用绩效测量作为一些潜在的潜在特质的信号，如竞争优势的领导能力。从这个角度来看，除了星芭儿所讨论的那些之外，绩效测量还受到其他几个误差和偏差来源的困扰。
As Bill Starbuck observes, measures of performance do not perform very well. They are compromised by measurement and data errors, which complicates statistical inferences. Nevertheless, performance measurements are needed and may be necessary for guiding organizational changes. Although the errors that Starbuck notes are important, there are other considerations that may be more damaging for most uses of performance data. Most users of performance measurements are interested in what they reveal about behaviors and capabilities. They use performance measures as signal of some underlying latent trait, such as leadership ability of competitive advantage. Seen from this perspective, performance measures are plagued by several other sources of error and bias in addition to those discussed by Starbuck.