多层网络下企业技术创新能力影响因素及机理研究——以中国半导体行业上市公司为例

摘要/Abstract

摘要： 打通技术创新全链条中基础研究、应用研究、生产研究三个关键环节，构建企业间“知识-技术-生产”多层合作创新网络，考虑层内、层间多元关系交互作用，研究企业技术创新能力的影响因素及机理。基于负二项模型对中国半导体行业上市公司的实证研究发现：第一，PageRank中心性与企业技术创新能力呈倒U型关系；结构洞、关系广度和强度、网络嵌入水平与其正相关。第二，企业吸收能力和网络密度分别对上述关系起中介及调节作用。第三，产品复杂性指数能精确表征企业技术创新能力，并受网络嵌入水平的正向影响。第四，影响因素间形成的锁定效应、内外联动双循环效应及交互连通效应共同影响企业技术创新能力。本研究为半导体行业企业的技术创新能力提升提供决策支持。

关键词: 多层网络, 技术创新能力, 半导体, 多源异构数据, 研发合作

Abstract: This paper studies the factors that influence enterprises’ technological innovation capability by integrating the three key links of basic research, application research, and production research in the whole chain of technological innovation, building a multi-level cooperative innovation network of “knowledge-technology-production” among enterprises, and considering the interaction of multiple relationships within and between layers. Based on the empirical study of the listed companies in China’s semiconductor industry with the negative binomial model, we reach the following conclusions. First, the relationship between PageRank centrality and enterprises’ technological innovation capability takes on an inverted U shape. Structural holes, breadth and strength of relationships, and level of network embedding are positively correlated with enterprises’ technological innovation capability. Second, the absorptive capacity of enterprises and network density play a mediating and moderating role in the above relationship, respectively. Third, the product complexity index can accurately represent the technological innovation capability of enterprises. Fourth, the locking effect, internal and external linkage dual circulation effect, and interactive connectivity effect formed among the influencing factors jointly affect the technological innovation ability of enterprises. This study provides decision-making support for improving the technological innovation capabilities of enterprises in the semiconductor industry.

Key words: multilayer network, technological innovation capability, semiconductor, multi-source heterogeneous data, R&D cooperation

何喜军, 董颖, 武玉英, 杨娟. 多层网络下企业技术创新能力影响因素及机理研究——以中国半导体行业上市公司为例[J]. 管理评论, 2025, 37(4): 98-112.

He Xijun, Dong Ying, Wu Yuying, Yang Juan. Research on the Influencing Factors and Mechanism of Enterprises' Technological Innovation Capability under Multi-layer Network—Exemplified by Listed Companies in China's Semiconductor Industry[J]. Management Review, 2025, 37(4): 98-112.

参考文献

[1] Wang W., Zhang C. Evaluation of Relative Technological Innovation Capability: Model and Case Study for China’s Coal Mine[J]. Resources Policy, 2018, 58:144-149
[2] 邵兵, 匡贤明, 王翚. 数字化知识管理与制造业企业技术创新:基于动态能力视角[J]. 科技进步与对策， 2024，41（14）：111-121 Shao B., Kuang X. M., Wang H. Digital Knowledge Management and Technological Innovation of Manufacturing Enterprises: The Perspective of Dynamic Capabilities[J]. Science & Technology Progress and Policy， 2024，41（14）：111-121
[3] 方健. 供应商管理与企业技术创新[J]. 科研管理, 2023, 44(5):113-121 Fang J. Supplier Management and Enterprise Technological Innovation[J]. Science Research Management, 2023, 44(5):113-121
[4] Jiang Y., Yan X., Yang Z., et al. Returnee Employees or Independent Innovation? The Innovation Strategy of Latecomer Countries: Evidence from High-tech Enterprises in China[J]. Technological Forecasting and Social Change, 2023, 192:122591
[5] Gao Y., Hu Y., Liu X., et al. Can Public R&D Subsidy Facilitate Firms’ Exploratory Innovation? The Heterogeneous Effects between Central and Local Subsidy Programs[J]. Research Policy, 2021, 50(4):104221
[6] 耿红军, 王昶. 赶超型创新政策影响企业技术能力的路径研究[J]. 科学学研究， 2024，42（4）：850-862 Geng H. J., Wang C. The Study on Influence Paths of Catch-up Oriented Innovation Policy on Enterprises’ Technological Capability[J]. Studies in Science of Science， 2024，42（4）：850-862
[7] Yin L., Du S., Chen G. The Influence of the Bank-Firm Relationship on Enterprises’ Technological Innovation Efficiency: Evidence from China[J]. International Review of Economics & Finance, 2024, 89:1583-1600
[8] Pan X., Shen Z., Song M., et al. Enhancing Green Technology Innovation through Enterprise Environmental Governance: A Life Cycle Perspective with Moderator Analysis of Dynamic Innovation Capability[J]. Energy Policy, 2023, 182:113773
[9] 周常宝, 冯志红, 林润辉, 等. 从产品导向到生态导向:高科技企业创新生态系统的构建——基于大疆的纵向案例[J]. 管理评论, 2023, 35(3):337-352 Zhou C. B., Feng Z. H., Lin R. H., et al. From Product Orientation to Ecosystem Orientation: Construction of Innovation Ecosystem of High-tech Enterprises： A Longitudinal Case Study Based on Dajiang[J]. Management Review, 2023, 35(3):337-352
[10] Zhang N., You D., Tang L., et al. Knowledge Path Dependence, External Connection, and Radical Inventions: Evidence from Chinese Academy of Sciences[J]. Research Policy, 2023, 52(4):104738
[11] 杨晔, 朱晨. 合作网络可以诱发企业创新吗?——基于网络多样性与创新链视角的再审视[J]. 管理工程学报, 2019, 33(4):28-37 Yang Y., Zhu C. Could the Cooperative Network Induce Innovation of Enterprise: Under the Perspective of Network Diversity and Innovative Chain[J]. Journal of Industrial Engineering and Engineering Management, 2019, 33(4):28-37
[12] 曾德明, 赵胜超, 叶江峰, 等. 基础研究合作、应用研究合作与企业创新绩效[J]. 科学学研究, 2021, 39(8):1485-1497 Zeng D. M., Zhao S. C., Ye J. F., et al. Basic Research Cooperation, Applied Research Cooperation and Firms’ Innovation Performance[J]. Studies in Science of Science, 2021, 39(8):1485-1497
[13] Yang Z., Yang Y., Ma J., et al. Policy-induced Cooperative Knowledge Network, University-Industry Collaboration and Firm Innovation: Evidence from the Greater Bay Area[J]. Technological Forecasting and Social Change, 2024, 200:123143
[14] Potter A., Wilhelm M. Exploring Supplier-Supplier Innovations within the Toyota Supply Network: A Supply Network Perspective[J]. Journal of Operations Management, 2020, 66(7-8):797-819
[15] Palit S., Hora M., Ghosh S. Global Buyer-Supplier Networks and Innovation: The Role of Technological Distance and Technological Breadth[J]. Journal of Operations Management, 2022, 68(6-7):755-774
[16] 吕可夫, 于明洋, 阮永平. 兼听则明, 偏信则暗——供应链网络中心性与企业风险承担[J]. 管理评论, 2023, 35(7):266-280 Lv K. F., Yu M. Y., Ruan Y. P. If You Listen to Both Sides, You will Be Wise: Supply Chain Network Centrality and Enterprise Risk-taking[J]. Management Review, 2023, 35(7):266-280
[17] MartíNez-Noya A., GarcíA-Canal E. Innovation Performance Feedback and Technological Alliance Portfolio Diversity: The Moderating Role of Firms’ R&D Intensity[J]. Research Policy, 2021, 50(9):104321
[18] 许冠南, 胡伟婕, 周源, 等. 创新生态系统双重网络嵌入对企业创新的影响机制[J]. 管理科学, 2022, 35(3):73-86 Xu G. N., Hu W. J., Zhou Y., et al. Impact Mechanism of Dual-network Embeddedness in Innovation Ecosystem on Firm’s Innovation[J]. Journal of Management Science, 2022, 35(3):73-86
[19] Sime S., Hagedoorn J., Tan H. Innovation Performance and Licensing: The Effect of the Compositional Quality of Direct and Indirect Network Ties[J]. Technovation, 2023, 127:102826
[20] 赵炎, 齐念念. 中心性、技术影响力与企业持续性创新——环境责任和企业韧性的调节作用[J]. 管理评论, 2023, 35(10):105-117 Zhao Y., Qi N. N. Centrality, Technical Influence and Firms’ Sustainable Innovation—The Moderating Role of Environmental Responsibility and Corporate Resilience[J]. Management Review, 2023, 35(10):105-117
[21] 孙笑明, 刘偲, 苏屹, 等. 预研情境下关键研发者创新绩效提升——知识网络与合作网络的组合视角[J]. 管理评论, 2023, 35(2):135-146 Sun X. M., Liu C., Su Y., et al. The Improvement of Key Inventor Innovation Performance under the Pre-research Context: A Combined Perspective of Knowledge Network and Collaboration Network[J]. Management Review, 2023, 35(2):135-146
[22] Luo T., Zhang Z. Multi-network Embeddedness and Innovation Performance of R&D Employees[J]. Scientometrics, 2021, 126(9):8091-8107
[23] 王海花, 周洁, 郭建杰, 等. 区域创新生态系统适宜度、双元网络与创新绩效——一个有调节的中介[J]. 管理评论, 2023, 35(3):83-91 Wang H. H., Zhou J., Guo J. J., et al. Regional Innovation Ecosystem Suitability, Dual Network and Innovation Performance—A Moderated Mediator Model[J]. Management Review, 2023, 35(3):83-91
[24] Óskarsdóttir M., Bravo C. Multilayer Network Analysis for Improved Credit Risk Prediction[J]. Omega, 2021, 105:102520
[25] Najafi-Tavani S., Najafi-Tavani Z., Naudé P., et al. How Collaborative Innovation Networks Affect New Product Performance: Product Innovation Capability, Process Innovation Capability, and Absorptive Capacity[J]. Industrial Marketing Management, 2018, 73:193-205
[26] Kim D. Y., Zhu P. Supplier Dependence and R&D Intensity: The Moderating Role of Network Centrality and Interconnectedness[J]. Journal of Operations Management, 2018, 64:7-18
[27] 霍国庆, 李捷, 张古鹏. 我国战略性新兴产业技术创新理论模型与经典模式[J]. 科学学研究, 2017, 35(11):1623-1630 Huo G. Q., Li J., Zhang G. P. Theoretical Model and Classic Mode of Technological Innovation in Chinese Strategic Emerging Industries[J]. Studies in Science of Science, 2017, 35(11):1623-1630
[28] Park H., Bellamy M. A., Basole R. C. Structural Anatomy and Evolution of Supply Chain Alliance Networks: A Multi-method Approach[J]. Journal of Operations Management, 2018, 63:79-96
[29] Ba Z., Liang Z. A Novel Approach to Measuring Science-Technology Linkage: From the Perspective of Knowledge Network Coupling[J]. Journal of Informetrics, 2021, 15(3):101167
[30] Granovetter M. Economic Action and Social Structure: The Problem of Embeddedness[J]. American Journal of Sociology, 1985, 91(3):481-510
[31] Guan J., Liu N. Exploitative and Exploratory Innovations in Knowledge Network and Collaboration Network: A Patent Analysis in the Technological Field of Nano-Energy[J]. Research Policy, 2016, 45(1):97-112
[32] 张娜, 刘凤朝. 双层次合作网络构建对企业探索性创新绩效的影响[J]. 管理工程学报, 2021, 35(1):1-11 Zhang N., Liu F. C. The Impact of Two-level Collaboration Network Construction on Firms’ Exploratory Innovation Performance[J]. Journal of Industrial Engineering and Engineering Management, 2021, 35(1):1-11
[33] Burt R. S., Reagans R. E., Volvovsky H. C. Network Brokerage and the Perception of Leadership[J]. Social Networks, 2021, 65(1):33-50
[34] Guo M., Yang N., Wang J., et al. How do Structural Holes Promote Network Expansion?[J]. Technological Forecasting and Social Change, 2021, 173:121129
[35] van Osch W., Bulgurcu B. Idea Generation in Enterprise Social Media: Open versus Closed Groups and Their Network Structures[J]. Journal of Management Information Systems, 2020, 37(4):904-932
[36] 郭强, 张婷, 李增禄, 等. 网络外部性对供应链创新技术投资策略的影响[J]. 管理工程学报, 2020, 34(4):79-88 Guo Q., Zhang T., Li Z. L., et al. Impact of Network Externalities on Supply Chain Innovation Technology Investment Strategy[J]. Journal of Industrial Engineering and Engineering Management, 2020, 34(4):79-88
[37] Albis N., Álvarez I., García A. The Impact of External, Internal, and Dual Relational Embeddedness on the Innovation Performance of Foreign Subsidiaries: Evidence from a Developing Country[J]. Journal of International Management, 2021, 27(4):100854
[38] 杨靓, 曾德明, 邹思明, 等. 科学合作网络、知识多样性与企业技术创新绩效[J]. 科学学研究, 2021, 39(5):867-875 Yang J., Zeng D. M., Zou S. M., et al. A Study of Scientific Collaboration Network, Knowledge Diversity and Firm Innovation[J]. Studies in Science of Science, 2021, 39(5):867-875
[39] Liu T., Tang L. Open Innovation from the Perspective of Network Embedding: Knowledge Evolution and Development Trend[J]. Scientometrics, 2020, 124(2):1053-1080
[40] Varshney M. Learning-by-Hiring: How do Rival Firms Learn from Focal Firm’s Hiring[J]. Research Policy, 2023, 52(2):104664
[41] 孙骞, 欧光军. 双重网络嵌入与企业创新绩效——基于吸收能力的机制研究[J]. 科研管理, 2018, 39(5):67-76 Sun Q., Ou G. J. Double Network Embeddedness and Enterprise Innovation Performance—A Mechanism Study Based on Absorptive Capacity[J]. Science Research Management, 2018, 39(5):67-76
[42] Potter A., Paulraj A. Unravelling Supplier-Laboratory Knowledge Spillovers: Evidence from Toyota’s Central R&D Laboratory and Subsidiary R&D Centers[J]. Research Policy, 2021, 50(4):104200
[43] Xu L. Y., Li J., Zhou X. Exploring New Knowledge through Research Collaboration: The Moderation of the Global and Local Cohesion of Knowledge Networks[J]. The Journal of Technology Transfer, 2019, 44(3):822-849
[44] Xu L., Ding R., Wang L. How to Facilitate Knowledge Diffusion in Collaborative Innovation Projects by Adjusting Network Density and Project Roles[J]. Scientometrics, 2022, 127(3):1353-1379
[45] 于飞, 袁胜军, 胡泽民, 等. 网络密度、高管注意力配置与制造企业服务创新:知识基础的调节作用[J]. 管理评论, 2022, 34(10):158-169 Yu F., Yuan S. J., Hu Z. M., et al. Network Density, Attention Allocation of TM and Manufacturing Firms’ Service Innovation: The Moderating Effect of Knowledge Base[J]. Management Review, 2022, 34(10):158-169
[46] 吴晓波, 张馨月, 沈华杰. 商业模式创新视角下我国半导体产业“突围”之路[J]. 管理世界, 2021, 37(3):123-136 Wu X. B., Zhang X. Y., Shen H. J. Business Model Innovation Perspective on How could China’s Semiconductor Industry to Break out the Blocks[J]. Journal of Management World, 2021, 37(3):123-136
[47] Yang X. T. Vertical Coopetition: Effect of Supplier Relationship Management Strategies on Supplier Involvement in New Product Development[J]. IEEE Transactions on Engineering Management, 2022, 71:2911-2920
[48] 宋砚秋, 胡军, 齐永欣. 创新价值转化时滞效应模型构建及实证研究[J]. 科研管理, 2022, 43(3):192-200 Song Y. Q., Hu J., Qi Y. X. An Empirical Study of Establishment of the Time-lag Effect Model of Innovation Value Transformation[J]. Science Research Management, 2022, 43(3):192-200
[49] Hausmann R., Hwang J., Rodrik D. What You Export Matters[J]. Journal of Economic Growth, 2007, 12(1):1-25
[50] Masuda N., Porter M. A., Lambiotte R. Random Walks and Diffusion on Networks[J]. Physics Reports, 2017, 716:1-58
[51] Huberman B. A., Pirolli P. L. T., Pitkow J. E., et al. Strong Regularities in World Wide Web Surfing[J]. Science, 1998, 280（5360）:95-97
[52] 邓峰, 王一飞. 技术锁定对创新绩效的影响:创新模式的调节作用[J]. 科技进步与对策, 2022, 39(14):1-11 Deng F., Wang Y. F. The Impact of Technology Lock-in on Innovation Performance: The Moderating Role of Innovation Models[J]. Science & Technology Progress and Policy, 2022, 39(14):1-11