Production Frontier Methodologies and Efficiency as a Performance Measure in Strategic Management Research

Chien-Ming Chen, M. Delmas, M. Lieberman
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引用次数: 148

Abstract

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 Data Envelopment Analysis and the Stochastic Frontier approach, can address these challenges. We provide an illustration based on longitudinal data from U.S. and Japanese automobile producers.
生产前沿方法与战略管理中绩效衡量的效率研究
企业绩效的衡量是战略管理研究的核心。这项研究的一个共同目标是确定行业中的佼佼者及其竞争优势的来源。尽管这些研究集中在最好的公司和实践上,但大多数研究人员利用统计方法来确定样本中的平均效果,他们评估单一的绩效维度,而忽略了其他相关维度。强调纯粹的财务措施可能会忽略一个事实,即企业在资源转化方面的效率已被证明是竞争优势的主要来源。在本文中,我们将展示前沿方法,如数据包络分析和随机前沿方法,如何解决这些挑战。我们根据美国和日本汽车生产商的纵向数据提供了一个例证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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