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Qualitative comparative analysis: Configurational paths to innovation performance

机译：定性比较分析：创新性能的配置路径

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摘要

Although innovation research has received considerable attention in recent decades, the main focus has been on net effects analysis derived from symmetric thinking. Few studies have taken a holistic approach by investigating causal combinations of antecedent conditions. In addressing the question of how to promote firms' innovation performance, we propose six antecedents from the internal, interfirm, and external contexts. These antecedents are knowledge stock, absorptive capacity, knowledge depth, knowledge breadth, government support, and the business environment. We apply fuzzy-set qualitative comparative analysis (fsQCA) to identify alternative configurations leading to high innovation performance from the perspective of knowledge management and innovation ecosystems. Data from 253 listed Chinese manufacturing firms form the basis of the analysis. The findings reveal seven configurational paths that explain high innovation performance and three paths to the absence of high innovation performance. This study provides new insight for innovation research. The paper concludes by discussing the implications for managers and policymakers.
机译：虽然近几十年来创新研究受到了相当大的关注，但主要关注于源自对称思维的净效应分析。通过调查先行条件的因果组合，少数研究采取了整体方法。在解决如何促进企业的创新绩效的问题时，我们提出了六个前所未有的内部，并对外部背景。这些前言是知识股票，吸收能力，知识深度，知识广度，政府支持和商业环境。我们应用模糊定性比较分析（FSQCA），以确定从知识管理和创新生态系统的角度来识别导致高创新性能的替代配置。来自253个上市的中国制造公司的数据构成了分析的基础。调查结果揭示了七条配置路径，解释了高创新性能和缺乏高创新性能的三条路径。本研究为创新研究提供了新的洞察力。本文通过讨论对管理人员和政策制定者的影响。

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