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A BAYESIAIN OPERATIONALIZATION OF THE RESOURCE-BASED VIEW

机译:基于资源的视图的贝叶斯操作

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摘要

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.
机译:本文认为,通过与彭罗斯(Penrose)的原始框架更一致地实施该理论,可以缩小基于资源的视图(RBV)的理论效用和实际效用之间的差距。这里提出的可操作性是一种双重方法。首先,可以通过明确承认彭罗斯的两类资源(即行政资源和生产性资源)来增强RBV。这种区别表明,人们关注于导致经济绩效的管理者的行政决策。其次,我们认为RBV是关于非凡业绩或非凡业绩的理论,而非平均水平。因此,用于应用该理论的统计方法必须考虑单个公司的差异,而不能基于统计上中和公司差异的手段。我们提出了一种新颖的贝叶斯分层方法,以研究行政决策与经济绩效之间的关系。我们开发并解释了一种超越经济绩效比较的竞争优势的方法。这种贝叶斯方法使我们能够对特定的,个别的公司以及本研究中研究的行政决策的效果做出有意义的概率陈述。

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