最佳实践、性能优势和权衡:来自前沿分析的新见解

IF 2.3 4区 经济学 Q3 BUSINESS
Rui Sousa, Ana S. Camanho, Maria Conceição Silva, Giovani J. C. da Silveira, Behrouz Arabi
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引用次数: 0

摘要

在理解最佳实践(bp)(如质量管理、精益和新产品开发)在产生公司绩效优势和克服不同绩效维度之间的权衡方面的作用方面,仍然存在重要的理论和经验差距。我们通过绩效前沿的视角来研究这些问题,以新颖的方式将基于资源的理论与新兴的基于实践的观点结合起来。对bp、绩效优势和权衡之间关系的假设进行了开发,并使用来自全球制造企业调查的平稳和纵向(召回)数据进行了测试。我们使用数据包络分析,克服了基于集中趋势的主流方法的局限性。我们的研究结果支持这样一种观点,即bp可能是持久竞争优势的来源,这是基于它们能够导致异质性的主导和难以模仿的竞争地位。该研究为当前关于bp在产生绩效优势中的作用以及从业者如何维持内部支持并从中获取利益的争论提供了新的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Best practices, performance advantage and trade-offs: new insights from frontier analysis

There are still important theoretical and empirical gaps in understanding the role of best practices (BPs), such as quality management, lean and new product development, in generating firm’s performance advantage and overcoming trade-offs across distinct performance dimensions. We examine these issues through the perspective of performance frontiers, integrating in novel ways the resource-based theory with the emergent practice-based view. Hypotheses on relationships between BPs, performance advantage, and trade-offs are developed and tested with stationary and longitudinal (recall) data from a global survey of manufacturing firms. We use data envelopment analysis, which overcomes limitations of mainstream methods based on central tendency. Our findings support the view that BPs may serve as a source of enduring competitive advantage, based on their ability to lead to a heterogeneous range of dominant and difficult-to-imitate competitive positions. The study provides new insights on contemporary debates about the role of BPs in generating performance advantage and how practitioners can sustain internal support and extract benefits from them.

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来源期刊
CiteScore
3.10
自引率
6.20%
发文量
30
期刊介绍: The Journal of Productivity Analysis publishes theoretical and applied research that addresses issues involving the measurement, explanation, and improvement of productivity. The broad scope of the journal encompasses productivity-related developments spanning the disciplines of economics, the management sciences, operations research, and business and public administration. Topics covered in the journal include, but are not limited to, productivity theory, organizational design, index number theory, and related foundations of productivity analysis. The journal also publishes research on computational methods that are employed in productivity analysis, including econometric and mathematical programming techniques, and empirical research based on data at all levels of aggregation, ranging from aggregate macroeconomic data to disaggregate microeconomic data. The empirical research illustrates the application of theory and techniques to the measurement of productivity, and develops implications for the design of managerial strategies and public policy to enhance productivity. Officially cited as: J Prod Anal
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