社会网络分析
百万-
背景(考古学)
构造(python库)
业务
协同网络
知识管理
持续性
网络分析
溢出效应
中国
大数据
产业组织
经济地理学
生态创新
社交网络(社会语言学)
复杂网络
可持续发展
编队网络
进化动力学
特大城市
义务
可持续运输
共享经济
描述性统计
区域科学
知识溢出
创新体系
长尾
人际关系
优先依附
进化经济学
中心性
网络动力学
作者
Long Li,Meiqi Wan,Shuqi Wang,Saixing Zeng,Hanyang Ma,Mengqi Yuan
出处
期刊:International Journal of Managing Projects in Business
[Emerald Publishing Limited]
日期:2026-01-24
卷期号:: 1-24
标识
DOI:10.1108/ijmpb-06-2025-0183
摘要
Purpose Green innovation in mega transportation infrastructure projects (MTI-GI) requires balancing technological progress and economic growth with environmental protection and sustainable development. Due to the multiple participants, temporary project-based arrangements and significant spillover effects, innovation actors form highly complex and dynamic collaborative networks under the obligation of shared responsibilities. This research aims to analyze the structural characteristics and dynamic evolution of multi-actor collaborative networks of green innovation in mega transportation infrastructure projects, thereby revealing how collaborative relationships operate as a network mechanism within megaproject-based organizations. Design/methodology/approach The research compiles relevant cases from the Zhan Tianyou Award to build a database and extracts collaboration data to construct the MTI-GI collaborative network. Descriptive statistics present the temporal and spatial characteristics of the case data. Complex network modeling, including social network analysis (SNA) and the Barrat, Barthélemy and Vespignani (BBV) model, is employed to measure the static structural features and dynamic evolutionary pathways. Findings The results indicated that the past decade (i.e. 2014–2023) was pivotal for MTI-GI development. Rail transit and railway projects are the most active in implementing green innovation, and the innovation actors are distributed mainly across relatively developed regions and relatively less developed yet strategically important areas. SNA metrics revealed that the MTI-GI collaborative network remains weakly connected overall and presents a clear scale-free pattern. This underscores the dominant role of state-owned enterprises in capability-driven and responsibility-supported innovation within the temporary, multi-level and multi-stakeholder context of megaprojects. BBV evolutionary analysis further indicated that a larger evolutionary scale, preferential attachment based on comprehensive strength and fewer cooperative ties of new entrants reinforce the scale-free properties of the collaborative network. Moreover, the MTI-GI collaboration network demonstrates its dynamic feature of enabling an adaptive balance between short-term project collaboration and long-term governance capacity. Originality/value The findings of this research enhance the understanding of green innovation network governance in megaproject-based organizations and offer more refined strategies for managing multi-actor collaboration in complex systems.
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