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A Structural Approach to Handling Endogeneity in Strategic Management: The Case of RBV

机译:战略管理中处理内生性的结构方法:以RBV为例

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In this paper we posit that the lack of consensus about empirical tests of resource based view (RBV) could be the result of endogenous resource picking on the part of firms. If resources are endogenously selected, regression based methods that examine their connection to firm performance will be mis-estimated. We show that traditional remedies for endogeneity do not resolve this problem when returns to resources are heterogeneous (as theorized under RBV) and when managers act with at least partial knowledge of the expected, idiosyncratic return (as theorized under the strategic factor market hypotheses). As such, we develop a Bayesian approach that solves this endogeneity problem by directly incorporating resource picking into the modeling framework. We illustrate the validity of our approach through the use of a comprehensive simulation study and show that our proposed approach outperforms traditional linear models (including traditional cures of endogeneity and unobserved heterogeneity) under a variety of conditions. Our findings suggest that: (1) research in strategy requires a more careful and deeper understanding of potential sources of endogeneity and (2) the use of Bayesian methods in management can help develop more theoretically motivated empirical approaches to hypothesis testing.
机译:在本文中,我们认为,关于基于资源的观点(RBV)的经验测试缺乏共识可能是企业内源性资源选择的结果。如果资源是内生地选择的,则基于回归的方法来检查其与公司绩效的联系将被错误估计。我们证明,当资源回报是异质的(根据RBV理论得出)并且管理人员至少对预期的,特殊的回报(根据战略因素市场假设理论得出的结论)有所作为时,针对内生性的传统补救措施无法解决该问题。因此,我们开发了一种贝叶斯方法,通过将资源选择直接纳入建模框架来解决此内生性问题。我们通过使用全面的模拟研究来说明我们的方法的有效性,并表明我们提出的方法在各种条件下均优于传统的线性模型(包括内生性和未观察到的异质性的传统方法)。我们的发现表明:(1)策略研究需要对内生性的潜在来源有更仔细和更深入的了解,(2)在管理中使用贝叶斯方法可以帮助开发理论依据更强的假设检验方法。

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