网络双重嵌入与数字创新搜寻战略如何二维匹配及二维匹配效应是数字创新领域亟需解决的前沿问题。基于匹配理论，本研究探索网络双重嵌入与数字创新搜寻战略二维匹配的多种模式，分析各二维匹配模式对开放式创新绩效的影响，运用独立样本T检验和ANOVA等方法进行实证检验。研究表明：网络双重嵌入与数字创新搜寻战略形成四种二维匹配模式。具体而言，R1S1（强关系，高结构）与T1E1（高利用，高探索）二维匹配，R2S2（弱关系，高结构）与T2E2（低利用，高探索）二维匹配，R3S3（强关系，低结构）与T3E3（高利用，低探索）二维匹配，R4S4（弱关系，低结构）与T4E4（低利用，低探索）二维匹配；两者二维匹配有利于提升开放式创新绩效。本文将网络嵌入与创新搜寻研究拓展到二维匹配层面，为管理者选择恰当的数字创新搜寻战略开辟了新思路，为企业实现资源优化配置和提升开放式创新绩效提供借鉴。
Abstract
With the development of digital economy, the innovation activities of enterprises have covered the external network, and the improvement of innovation performance is always the goal pursued by enterprises. The mismatching of network dual embeddedness with digital innovation search strategy is serious. There are such frontier problems as how to carry out two-dimensional matching between network dual embeddedness and digital innovation search strategy, and how the matching influences performance of open innovation in the field of innovation. The matching that is helpful to optimize and allocate resource becomes one of the important sources of open innovation performance. Under the condition of limited resources, it is urgent to solve the mismatching and improve performance of innovation.
This paper based on the perspective of two-dimensional matching, has explored two-dimensional matching between network dual embeddedness and digital innovation search strategy, and analyzed the impact of matching on open innovation performance. It constructed patterns of network dual embeddedness and digital innovation search strategies. Data were collected via questionnaire survey, and valid questionnaires were obtained from 209 enterprises. The data was analyzed with the methods of SPSS and AMOS, and it was also tested empirically with the methods of ANOVA, independent-samples T test and other methods.
Results of the research show matching of network dual embeddedness (strongly relational, highly structural) with digital innovation search strategies (highly exploitative, highly exploratory), network dual embeddedness (weakly relational, highly structural) with digital innovation search strategy (lowly exploitative, highly exploratory), network dual embeddedness (strongly relational, lowly structural) with digital innovation search strategy (high exploitative, lowly exploratory), network dual embeddedness (weakly relational, lowly structural) with digital innovation search strategy (lowly exploitative, lowly exploratory). Moreover, matching of network dual embeddedness with digital innovation search strategy positively affects open innovation performance.
It is of great significance to explore the matching of network dual embeddedness with digital innovation search strategies. Theoretically, this paper extends the study of network dual embeddedness and digital innovation search strategies to the level of two-dimensional matching. It makes up for the shortage of literatures, overcomes the limitations of matching, improves the theory, enriches the research of matching. Practically, this paper provides a basis for strategic decision-makers to choose the appropriate digital innovation search strategy, and a new direction for enterprises to improve performance of open innovation in the same cost. Enterprises can take two-dimensional matching as an effective way to improve the performance of open innovation. Managers may adopt appropriate combination of digital innovation search strategies according to the degree of network dual embeddedness.
There are still some limitations in the study. Firstly, when exploring the influence of two-dimensional matching patterns on open innovation performance, comparison of the four matching patterns is not made. Comparative studies can be carried out in the future; Secondly, although four two-dimensional matching patterns are constructed and tested, it is not explored which pattern should be adopted by enterprises in different development stages. In the future, case studies can be conducted to explore the correlation mechanism between two-dimensional match patterns and the development stage of enterprises, and reveal the matching law of enterprises in different stages.
关键词
网络双重嵌入 /
数字创新 /
二维匹配 /
开放式创新绩效
Key words
network dual embeddedness /
digital innovation /
two-dimensional matching /
open innovation performance
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基金
国家自然科学基金项目：“基于双重价值链视角的中国高技术产业竞争优势重构研究”（71972063，2020.01—2023.12）；国家自然科学基金项目：“失败学习形成机制及其对后续创新绩效的影响研究：基于复杂产品创新失败”（71902045，2020.01—2022.12）；黑龙江省社科规划基金项目：“创新驱动视角下数字经济赋能黑龙江省制造业转型升级的机制与路径研究”（22JYB227，2022.10—2025.10）。
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