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知识搜索路径的多样性和突破性的技术创新:来自新能源汽车公司的证据
Xiao Yin1, Le Song2, Ying Pan1
1School of Business Administration, South China University of Technology, Guangzhou, China.
探索汽车行业的知识搜索多样性揭示了与突破性创新的反向U形关系. 对于新能源汽车制造商来说,基本知识搜索多样性显示出更的曲线,以组织的接近为调节.
科学领域:
- 汽车行业创新 汽车行业创新
- 组织知识管理组织知识管理
- 技术的进步技术的进步
背景情况:
- 突破性的技术创新正在改变汽车行业.
- 知识搜索多样性对于获取创新资源至关重要.
- 企业利用知识搜索来克服限制并加速创新.
研究的目的:
- 研究知识搜索多样性与突破性技术创新之间的关系.
- 区分基础知识和应用知识,寻找多样性.
- 检查组织近距离对这种关系的温和效应.
主要方法:
- 整合组织搜索和知识重组理论.
- 研究假设的发展.
- 在280家中国新能源汽车 (NEV) 制造商的数据上使用负二项式固定效应回归模型进行实证测试.
主要成果:
- 知识搜索多样性表明了与突破性技术创新的反向U形关系.
- 逆转的U形关系在基础知识搜索多样性方面比应用知识搜索多样性更加明显.
- 组织的近距离积极地缓和了反转的U形关系.
结论:
- 优化知识搜索策略是汽车行业技术融合的关键.
- 通过寻求战略知识来内部化外部资源,可以促进创新和升级.
- 了解基本与应用知识搜索的细微差别对于最大限度地提高创新成果至关重要.
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