{"title":"How network characteristics drive multi-layer innovation networks to achieve boundary-spanning convergence","authors":"Yonghong Ma, Enjia Zhu","doi":"10.1016/j.techsoc.2025.103048","DOIUrl":null,"url":null,"abstract":"<div><div>Cross-domain knowledge integration and boundary-spanning collaboration among firms are increasingly recognized as key characteristics of vigorous development within the renewable energy sector. This paper, utilizing cooperative patent data from the new energy industry, employs Social Network Analysis (SNA) to analyze the evolutionary characteristics of multi-layer innovation networks and applies the Multilayer Exponential Random Graph Model (MERGM) to examine the driving effects of network characteristics on the boundary-spanning convergence of these innovation networks. The study's results indicate that closed triadic structures promote boundary-spanning convergence within innovation networks. Furthermore, knowledge diversity and heterogeneity facilitate boundary-spanning convergence in collaboration networks. The breadth of inter-firm cooperation also enhances boundary-spanning convergence in knowledge networks; however, the intensity of inter-firm cooperation does not necessarily promote boundary-spanning convergence in knowledge networks. This research broadens the perspective on multi-layer innovation networks and provides practical insights for fostering technological innovation and collaboration in the new energy industry.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"83 ","pages":"Article 103048"},"PeriodicalIF":12.5000,"publicationDate":"2025-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Technology in Society","FirstCategoryId":"90","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0160791X25002386","RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"SOCIAL ISSUES","Score":null,"Total":0}
引用次数: 0
Abstract
Cross-domain knowledge integration and boundary-spanning collaboration among firms are increasingly recognized as key characteristics of vigorous development within the renewable energy sector. This paper, utilizing cooperative patent data from the new energy industry, employs Social Network Analysis (SNA) to analyze the evolutionary characteristics of multi-layer innovation networks and applies the Multilayer Exponential Random Graph Model (MERGM) to examine the driving effects of network characteristics on the boundary-spanning convergence of these innovation networks. The study's results indicate that closed triadic structures promote boundary-spanning convergence within innovation networks. Furthermore, knowledge diversity and heterogeneity facilitate boundary-spanning convergence in collaboration networks. The breadth of inter-firm cooperation also enhances boundary-spanning convergence in knowledge networks; however, the intensity of inter-firm cooperation does not necessarily promote boundary-spanning convergence in knowledge networks. This research broadens the perspective on multi-layer innovation networks and provides practical insights for fostering technological innovation and collaboration in the new energy industry.
期刊介绍:
Technology in Society is a global journal dedicated to fostering discourse at the crossroads of technological change and the social, economic, business, and philosophical transformation of our world. The journal aims to provide scholarly contributions that empower decision-makers to thoughtfully and intentionally navigate the decisions shaping this dynamic landscape. A common thread across these fields is the role of technology in society, influencing economic, political, and cultural dynamics. Scholarly work in Technology in Society delves into the social forces shaping technological decisions and the societal choices regarding technology use. This encompasses scholarly and theoretical approaches (history and philosophy of science and technology, technology forecasting, economic growth, and policy, ethics), applied approaches (business innovation, technology management, legal and engineering), and developmental perspectives (technology transfer, technology assessment, and economic development). Detailed information about the journal's aims and scope on specific topics can be found in Technology in Society Briefings, accessible via our Special Issues and Article Collections.