Exploring the Curvilinear Relationship between Green Innovation Complexity and Performance: The Moderating Role of Governance Mechanisms

IRPN: Governance (Sub-Topic) Pub Date : 2021-05-27 DOI:10.2139/ssrn.3854313

Qian Li, Zuoming Liu, Huaqing Wang, M. Menon

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Abstract

Green innovation has been adopted widely by companies as a strategic tool to deal with the increasing pressure of environmental concerns as well as sustainability. Extra resources are required to reduce the uncertainties and risks involved in green innovation to improve innovation performance. Building on information-processing perspective and contingency theory, this study examines the impact of green innovation complexity on performance and how proper governance mechanisms can properly align with the complexity to improve innovation capability. Using survey data from 231 companies in China, we find the relationship between green innovation complexity and performance to be curvilinear in nature. More importantly, administrative governance mechanism does a better job in improving innovation performance for green innovation with low-level complexity. Relational governance mechanism performs well for innovation tasks with high-level complexity. Managerial implications are drawn from our study for practitioners regarding how to align proper governance mechanisms to deal with innovation tasks with different-level complexity so as to improve innovation performance.

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绿色创新复杂性与绩效的曲线关系:治理机制的调节作用

绿色创新已被公司广泛采用，作为应对日益增长的环境问题和可持续发展压力的战略工具。为了提高创新绩效，需要额外的资源来减少绿色创新中的不确定性和风险。本文基于信息处理视角和权变理论，探讨了绿色创新复杂性对绩效的影响，以及合理的治理机制如何与复杂性相适应，从而提高创新能力。利用对中国231家企业的调查数据，我们发现绿色创新复杂性与绩效之间的关系本质上是曲线关系。更重要的是，对于复杂度较低的绿色创新，行政治理机制对创新绩效的提升效果更好。关系治理机制对于复杂程度较高的创新任务表现良好。我们的研究为实践者提供了管理启示，即如何调整适当的治理机制来处理不同复杂程度的创新任务，从而提高创新绩效。

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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IRPN: Governance (Sub-Topic)

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