从同行创新失败中模仿学习：风险资本联合网络的调节作用

IF 2.5 3区经济学 Q2 ECONOMICS

Managerial and Decision Economics Pub Date : 2024-07-23 DOI:10.1002/mde.4330

Xiaohui Tao, Yitao Huang, Peifeng Guan, Yao Meng, Donald Huisingh

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引用次数: 0

摘要

企业不仅可以从自身的失败中获得启示，还可以从同行业同行的创新失败中获得启示。本研究探讨了109家中国A股上市高科技企业（2013-2022年）如何从同行的创新失败中吸取经验教训以提高创新成功率，并强调了风险投资（VC）联合网络在促进知识转移方面的关键作用。网络中的中心风险投资公司显著增强了从他人失败中学习的能力。进一步的实证分析表明，开发性创新的成功率显著提高，而对探索性创新的影响则微乎其微。

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Vicarious learning from peer innovation failures: The moderating effects of venture capital syndication networks

Firms can derive insights not only from their own failures but also from the innovation failures of counterparts in the same industry. This study investigates how 109 Chinese A-share listed high-tech firms (2013–2022) learn from counterparts' innovation failures to improve their success rate of innovation and emphasizes the crucial role of venture capital (VC) syndication networks in facilitating knowledge transfer. Central VCs within the network notably enhance vicarious learning from others' failures. Further empirical analysis shows a significant increase in the success rate of exploitative innovations, while the impact on exploratory innovations is minimal.

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来源期刊

Managerial and Decision Economics Multiple-

CiteScore

1.40

自引率

18.20%

发文量

242

期刊介绍： Managerial and Decision Economics will publish articles applying economic reasoning to managerial decision-making and management strategy.Management strategy concerns practical decisions that managers face about how to compete, how to succeed, and how to organize to achieve their goals. Economic thinking and analysis provides a critical foundation for strategic decision-making across a variety of dimensions. For example, economic insights may help in determining which activities to outsource and which to perfom internally. They can help unravel questions regarding what drives performance differences among firms and what allows these differences to persist. They can contribute to an appreciation of how industries, organizations, and capabilities evolve.