Diagnosing the Experience Curve
指出经验曲线常被误用导致误导性结论，但若正确测量和解释，仍是分析规模、技术和学习效应的有用框架，适合战略研究者参考。
Few strategy concepts are more likely to give misleading insights than the experience curve. As a result there is considerable disenchantment with the simplistic market share prescriptions that marked the early applications. Nonetheless, the experience curve remains an extremely useful organizing framework when scale, technology and learning effects are influential forces in the environment. This article reviews the measurement and interpretation problems that have to be overcome before the experience curve can be productively applied. Conclusions provide rewarding topics for further research.