工程建设技术创新合作关系的结构特征及演化机制——基于动态网络模型的实证研究
Structural Characteristics and Evolution Mechanism of the Technological Innovation Partnerships in Engineering Construction—An Empirical Study Based on Dynamic Network Models
DOI: 10.12677/mm.2025.154100, PDF,   
作者: 李子伦：同济大学经济与管理学院，上海
关键词: 工程建设；创新网络；合作网络；Project Construction； Innovative Network； Collaborative Network
摘要: 在工程建设领域，各类行业组织基于各类长期及短期关系不断进行各类创新性技术的合作研发及应用，行业组织围绕各类创新性技术的合作关系形成了具有高度动态特征的合作网络。本研究采用随机行动者导向模型的方法和2000~2020年国家科技进步奖工程建设领域获奖项目的纵向数据，研究工程建设技术创新的合作网络的结构特征及其演化机制。结果表明，网络随时间推移会越来越密集，但其特征始终表现为网络节点间平均路径长度相对较短、聚类系数高，网络结构有围绕某些主要组织发展的趋势。结果还进一步表明，宏观层面的网络动态特征与微观层面上基于结构的偏好连接效应、反孤立效应和基于属性的所有制相似性效应、技术能力相似性效应呈显著正相关，与组织类型相似性效应呈显著负相关。结果还表明，与组织所有制类型和技术能力相关的个体协变量效应对合作网络的动态有显著影响。本研究有助于政府部门及行业组织更好把握工程建设行业技术发展趋势与合作特征优化相关创新战略。
Abstract: In the field of project construction, various industry organizations have been carrying out cooperative R&D and application of various innovative technologies based on various long-term and short-term relationships. Industry organizations have formed a highly dynamic cooperation network around the cooperative relationships of various innovative technologies. Using the method of stochastic actor-oriented models and longitudinal data of award-winning projects in the construction industry of the national science and technology progress award from 2000 to 2020, this study examines the structural characteristics and evolution mechanism of the cooperation network of construction technological innovation. The results provide evidence that the network becomes increasingly dense over time but persistently exhibits the average path length between network nodes is relatively short, the clustering coefficient is high. And the network structure tends to develop around some main organizations. The results further reveal that these macrolevel characteristics of network dynamics significantly positively correlated with the structure-based preferential attachment effect, anti in-isolates effect, attribute-based ownership similarity effect and technical capability similarity effect at the micro level, while they are significantly negatively correlated with the organization type similarity effect. The results also suggest that the individual covariate effects related to organizational ownership type and technical capability significantly influence the dynamics of the collaborative network. This study will assist the government departments and industry organizations to better grasp the technology development trend and cooperation characteristics of the construction industry and optimize relevant innovation strategies.
文章引用：李子伦. 工程建设技术创新合作关系的结构特征及演化机制——基于动态网络模型的实证研究[J]. 现代管理, 2025, 15(4): 176-186. https://doi.org/10.12677/mm.2025.154100

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