| 基于元分析的跨界搜索与企业创新绩效关系研究 |
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| 引用本文： | 王宛秋,龚慧敏,郭婧.基于元分析的跨界搜索与企业创新绩效关系研究[J].科研管理,2022,43(10):116-126. |
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| 作者姓名： | 王宛秋 龚慧敏 郭婧 |
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| 作者单位： | 1.北京工业大学经济与管理学院,北京100124；
2.北京现代制造业发展研究基地，北京100124 |
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| 基金项目： | 北京社会科学基金研究基地重点项目：“促进北京高端制造业跨界融合发展的技术并购路径研究”（18JDGLA042，2018.08—2020.12）。 |
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| 摘 要： | 跨界搜索在企业创新活动中的作用日益凸显，相关研究也非常活跃，但结果仍存在差异。基于此，本文对2001-2019年期间的53篇实证文献、26812个样本的55个效应值进行了元分析，证实了跨界搜索对企业创新绩效的促进作用，并且发现，企业的国别差异、行业特征、创新能力能够调节跨界搜索对其创新绩效的贡献程度，中国企业、制造业企业、非高创新能力企业的跨界搜索活动对创新绩效的积极影响更为显著；跨知识边界的搜索均对企业创新绩效存在显著的正向影响，但程度上存在差异，具体表现在，扩大搜索宽度比加强搜索深度积极影响更大，本地搜索的促进作用比非本地搜索更大，市场知识跨界搜索的积极影响比技术知识跨界搜索更大。
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| 关 键 词： | 跨界搜索 企业创新绩效 元分析 调节效应 |
| 收稿时间： | 2019-11-19 |
| 修稿时间： | 2020-06-30 |
A meta-analysis of the relationship between boundary-spanning search and firm innovation performance |
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| Wang Wanqiu,Gong Huimin,Guo Jing.A meta-analysis of the relationship between boundary-spanning search and firm innovation performance[J].Science Research Management,2022,43(10):116-126. |
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| Authors: | Wang Wanqiu Gong Huimin Guo Jing |
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| Institution: | 1.College of Economics and Management, Beijing University of Technology，Beijing 100124,China;
2.Research Base of Beijing Modern Manufacturing Development, Beijing 100124, China; |
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| Abstract: | At present, enterprises are in a dynamic environment where technologies, products and services are rapidly iterating, and the artificial intelligence technology is deeply integrated with traditional industries. It is difficult to maintain a competitive advantage by relying on existing knowledge and resources for closed innovation activities. As an important way for enterprises to obtain heterogeneous knowledge and break through the ability trap as well as the innovator′s dilemma beyond the existing knowledge boundary, boundary-spanning search has attracted extensive attention from academia and managers. Since the concept of "boundary-spanning search" was proposed by Rosenkopf et al in 2001, much more efforts have been devoted to relevant research for almost 20 years, and a large amount of literature has been accumulated.
In this study, the meta-analysis method was introduced into the quantitative integration of 53 papers, 26,812 samples, and 55 effect sizes in the field of boundary-spanning search and firm innovation performance, and the following three conclusions were drawn.
First, the boundary-spanning search behavior can promote the firm innovation performance. Second, country differences, industry characteristics, innovation ability can adjust the contribution of boundary-spanning search to the firm innovation performance. Specifically, compared with other countries, boundary-spanning search has a greater positive effect on the firm innovation performance in China; compared with non-manufacturing enterprises, boundary-spanning search is more effective in improving firm innovation performance for manufacturing enterprises; compared with high-innovation enterprises, boundary-spanning search brings a more significant improvement to the low-innovation enterprises. Third, the type of boundary-spanning search across knowledge boundaries determines the degree of improving the innovation performance. Among the various types, for different search scope, expanding the search width has a greater positive effect on innovation performance than strengthening the search depth; for different geographical boundaries, local search takes greater effect for innovation performance promotion than non-local search; in terms of knowledge types, the impact of market knowledge is more effective than technical knowledge on innovation performance in boundary-spanning search.
Theoretically, this study quantitatively integrated multiple independent studies in the field of boundary-spanning search, and concluded the positive impact of boundary-spanning search on firm innovation performance. Furthermore, differences in the impact of boundary-spanning search on innovation performance by search types and different enterprise characteristics such as industry and innovation ability are also discussed. In particular, the classification and integration of the boundary-spanning search research in the context of China, while providing theoretical reference and practical basis for boundary-spanning activities in China, has also developed a study on the mechanism of environmental factors in boundary-spanning search. Moreover, this study also found that the boundary-spanning search has a more significant positive effect on the firm innovation performance under higher economic activity and higher innovation demand.
In practice, this study provides empirical evidence and decision-making basis for enterprises to strategically arrange the focus and methods of boundary-spanning search in order to obtain sustained external heterogeneous resources, and to break through the constraints of capability potential and resource thresholds. In addition, companies should fully consider the heterogeneous impact of boundary-spanning search on firm innovation performance, and rationally allocate limited searches resources and attention based on their own industry characteristics, innovation capabilities, resource needs, etc. as well as the external conditions such as the development speed of the region. Finally, to realize the upgrade to "intelligent manufacturing" in China, enterprises need to cultivate an open culture, take the initiative to continuously learn external technology, products, and market knowledge through boundary-spanning search, and effectively integrate internal and external knowledge to promote innovation capabilities. |
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| Keywords: | boundary-spanning search firm innovation performance meta-analysis moderating effect |
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