| 基于Meta分析的供应链网络嵌入性与协同创新绩效关系研究 |
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| 引用本文： | 王金凤,朱雅婕,冯立杰,朱磊. 基于Meta分析的供应链网络嵌入性与协同创新绩效关系研究[J]. 技术经济, 2023, 42(6): 47-59 |
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| 作者姓名： | 王金凤 朱雅婕 冯立杰 朱磊 |
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| 作者单位： | 上海海事大学,上海海事大学,上海海事大学,上海海事大学 |
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| 基金项目： | 国家科技部创新方法工作专项“中国情境下的创新方法研究与工具开发”（项目编号：2018IM020300）、国家科技部创新方法工作专项“端端驱动，融合赋能”创新方法新系统研究与应用示范（项目编号：2019IM020200）、上海市科技计划项目“元易创新方法在港航物流工程与海洋装备关键技术领域的应用研究”（项目编号：20040501300） |
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| 摘 要： | 供应链企业在合作中相互产生嵌入行为对高效整合链上资源以提高协同创新绩效至关重要，然而，两者之间的关系至今尚未形成一致性研究结论。本文利用Meta分析方法，以60篇相关文献、118个效应值、17911个独立样本作为研究对象，探究了网络嵌入性及各维度与协同创新绩效的整体效应，并运用亚组分析明晰了调节变量在两者关系中的调节作用。研究表明：网络嵌入性及其子维与协同创新绩效具有显著的正相关关系。另外，行业类型、区位因素、绩效类型及实证研究方法的不同均会导致研究结果不一致。本研究结论在一定程度上为网络嵌入性与协同创新绩效的关系研究提供了理论依据，同时也为供应链企业通过网络嵌入性提高创新能力提供了可资借鉴的参考思路。
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| 关 键 词： | 供应链 网络嵌入性；协同创新绩效；Meta分析；调节效应 |
| 收稿时间： | 2023-03-03 |
| 修稿时间： | 2023-06-06 |
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| Affiliation: | Shanghai Maritime University,Shanghai Maritime University,Shanghai Maritime University,Shanghai Maritime University |
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| Abstract: | The embedding behavior of supply chain enterprises in cooperation is crucial to efficiently integrate on-chain resources to improve collaborative innovation performance, however, the relationship between the two has not yet reached a consistent research conclusion. In this paper, 60 related literatures, 118 effect sizes and 17911 independent samples were used as research objects to explore the overall effect of network embedding (including relational embedding and structural embedding) and collaborative innovation performance, and subgroup analysis was used to clarify the moderating effect of moderating variables in the relationship between the two. The results show that network embedding and its sub-dimensions have a significant positive correlation with collaborative innovation performance. In addition, differences in industry type, location factors, performance type, and empirical research methods all lead to inconsistent research results. To a certain extent, this study provides a theoretical basis for the research on the relationship between network embedding and collaborative innovation performance, and also provides reference ideas for supply chain enterprises to improve their innovation ability through network embedding. |
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| Keywords: | Supply chain Network embedding Collaborative innovation performance Meta-analysis Regulatory effects |
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