Production frontier methodologies and efficiency as a performance measure in strategic management research
指出战略管理研究常用统计方法只能识别平均效应且忽视多维度绩效，而前沿方法论（如数据包络分析和随机前沿分析）能更好衡量企业效率作为竞争优势来源，并以美日汽车制造商数据为例说明。
The measurement of corporate performance is central to strategic management research. A common objective of this research is to identify top performers in an industry and their sources of competitive advantage. Despite this focus on best firms and practices, most researchers utilize statistical methods that identify average effects in a sample, and they assess a single performance dimension while ignoring other relevant dimensions. Emphasis on purely financial measures can overlook the fact that a firm's efficiency in transforming resources has been shown as a major source of competitive advantage. In this article we demonstrate how frontier methodologies, such as D ata E nvelopment A nalysis and the S tochastic F rontier approach, can address these challenges. We provide an illustration based on longitudinal data from U.S . and J apanese automobile producers . Copyright © 2013 John Wiley & Sons, Ltd.