Using Bayesian methods in strategy research: an extension of Hansen et al .
论证贝叶斯方法不仅适用于资源基础观的战略问题，也适用于动态能力和产业与企业共同演化等扩展领域，能解决小样本、缺失数据等难题，并以进入顺序与先发优势为例展示其应用。
Abstract Hansen, Perry, and Reese () recently argued for and demonstrated the utility of Bayesian methods for research associated with the resource‐based view (RBV) of the firm. In this paper, we propose that Bayesian approaches are highly relevant not only for strategy problems based on the RBV, but also to its extensions in the areas of dynamic capabilities and co‐evolution of industries and firms. Further, we argue that Bayesian methods are equally applicable for a wide range of strategy research questions at both the micro‐ and macro‐level. Bayesian techniques are especially useful in addressing specific methodological challenges related to firm‐ and individual‐level effects, firm‐level predictive results, precision with small samples, asymmetric distributions, and the treatment of missing data. Moreover, Bayesian methods readily permit the engineering and updating of more realistic, complex models. We provide a specific illustration of the utility of Bayesian approaches in strategy research on entry order and pioneering advantage to show how they can help to inform research that integrates micro‐ and macro‐phenomena within a dynamic and interactive environment. Copyright © 2006 John Wiley & Sons, Ltd.