A Bayesian operationalization of the resource‐based view
提出一种更符合彭罗斯原始框架的资源基础观操作化方法，区分行政资源与生产资源，并采用贝叶斯分层模型分析管理决策与企业绩效的关系，适用于关注企业异质性和竞争优势的研究者。
Abstract This paper argues that the gap between the theoretical utility and the practical utility of the resource‐based view (RBV) may be narrowed by operationalizing the theory more consistently with Penrose's original framework. The operationalization proposed here is a twofold approach. First, the RBV may be enhanced by the explicit recognition of Penrose's two classes of resources, namely, administrative resources and productive resources. This distinction suggests a focus on the administrative decisions of managers that lead to economic performance. Second, we argue that the RBV is a theory about extraordinary performers or outliers—not averages. Therefore, the statistical methods used in applying the theory must account for individual firm differences, and not be based on means, which statistically neutralize firm differences. We propose a novel Bayesian hierarchical methodology to examine the relationship between administrative decisions and economic performance over time. We develop and explain a measure of competitive advantage that goes beyond comparisons of economic performance. This Bayesian methodology allows us to make meaningful probability statements about specific, individual firms and the effects of the administrative decisions examined in this study. Copyright © 2004 John Wiley & Sons, Ltd.