{"title":"2006年至2023年发表的创新生态系统研究:科学计量学综述","authors":"Neng Shen, Lianjun Wu, Jingwen Zhou, Jing Zhang","doi":"10.1016/j.jengtecman.2025.101916","DOIUrl":null,"url":null,"abstract":"<div><div>With the acceleration of a new round of technological revolution and industrial transformation, the innovation ecosystem has emerged as a central focus in both academic research and managerial practice. Based on a combination of bibliometric co-citation network analysis, citation relationship path analysis, and bibliographic coupling analysis, this study systematically reviews the literature on innovation ecosystem indexed in the Web of Science (WOS) database from 2006 to 2023. First, we categorize the evolution of innovation ecosystem research into distinct stages based on the screened literature and present the distribution of relevant publications across academic journals. Second, following a “point-line-surface” analytical framework, we identify ten key publications (research nodes), two historical developmental paths (evolutionary trajectories), and three major knowledge clusters (thematic areas) within the field. Finally, adhering to a logical structure of definition–structure–evaluation–optimization, we propose five potential or underexplored directions for future research on innovation ecosystem. This study offers valuable insights and guidance for policymakers, industry leaders, and business decision-makers seeking a deeper understanding of innovation ecosystem.</div></div>","PeriodicalId":50209,"journal":{"name":"Journal of Engineering and Technology Management","volume":"78 ","pages":"Article 101916"},"PeriodicalIF":3.9000,"publicationDate":"2025-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Mapping innovation ecosystem research published from 2006 to 2023: A scientometric review\",\"authors\":\"Neng Shen, Lianjun Wu, Jingwen Zhou, Jing Zhang\",\"doi\":\"10.1016/j.jengtecman.2025.101916\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>With the acceleration of a new round of technological revolution and industrial transformation, the innovation ecosystem has emerged as a central focus in both academic research and managerial practice. Based on a combination of bibliometric co-citation network analysis, citation relationship path analysis, and bibliographic coupling analysis, this study systematically reviews the literature on innovation ecosystem indexed in the Web of Science (WOS) database from 2006 to 2023. First, we categorize the evolution of innovation ecosystem research into distinct stages based on the screened literature and present the distribution of relevant publications across academic journals. Second, following a “point-line-surface” analytical framework, we identify ten key publications (research nodes), two historical developmental paths (evolutionary trajectories), and three major knowledge clusters (thematic areas) within the field. Finally, adhering to a logical structure of definition–structure–evaluation–optimization, we propose five potential or underexplored directions for future research on innovation ecosystem. This study offers valuable insights and guidance for policymakers, industry leaders, and business decision-makers seeking a deeper understanding of innovation ecosystem.</div></div>\",\"PeriodicalId\":50209,\"journal\":{\"name\":\"Journal of Engineering and Technology Management\",\"volume\":\"78 \",\"pages\":\"Article 101916\"},\"PeriodicalIF\":3.9000,\"publicationDate\":\"2025-09-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Engineering and Technology Management\",\"FirstCategoryId\":\"91\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0923474825000578\",\"RegionNum\":3,\"RegionCategory\":\"管理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"BUSINESS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Engineering and Technology Management","FirstCategoryId":"91","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0923474825000578","RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BUSINESS","Score":null,"Total":0}
引用次数: 0
摘要
随着新一轮技术革命和产业变革的加速推进,创新生态系统已成为学术界和管理实践关注的焦点。本文采用文献计量共被引网络分析、引文关系路径分析和书目耦合分析相结合的方法,对Web of Science (WOS)数据库2006 - 2023年收录的创新生态系统文献进行了系统回顾。首先,在文献筛选的基础上,将创新生态系统研究的演进划分为不同的阶段,并给出了相关文献在学术期刊上的分布情况。其次,根据“点-线-面”分析框架,我们确定了该领域内的十个关键出版物(研究节点),两条历史发展路径(进化轨迹)和三个主要知识集群(专题领域)。最后,按照“定义-结构-评价-优化”的逻辑结构,提出了创新生态系统未来研究的五个潜在或未开发的方向。本研究为寻求对创新生态系统更深入理解的政策制定者、行业领导者和商业决策者提供了有价值的见解和指导。
Mapping innovation ecosystem research published from 2006 to 2023: A scientometric review
With the acceleration of a new round of technological revolution and industrial transformation, the innovation ecosystem has emerged as a central focus in both academic research and managerial practice. Based on a combination of bibliometric co-citation network analysis, citation relationship path analysis, and bibliographic coupling analysis, this study systematically reviews the literature on innovation ecosystem indexed in the Web of Science (WOS) database from 2006 to 2023. First, we categorize the evolution of innovation ecosystem research into distinct stages based on the screened literature and present the distribution of relevant publications across academic journals. Second, following a “point-line-surface” analytical framework, we identify ten key publications (research nodes), two historical developmental paths (evolutionary trajectories), and three major knowledge clusters (thematic areas) within the field. Finally, adhering to a logical structure of definition–structure–evaluation–optimization, we propose five potential or underexplored directions for future research on innovation ecosystem. This study offers valuable insights and guidance for policymakers, industry leaders, and business decision-makers seeking a deeper understanding of innovation ecosystem.
期刊介绍:
The Journal of Engineering and Technology Management (JET-M) is an international scholarly refereed research journal which aims to promote the theory and practice of technology, innovation, and engineering management.
The journal links engineering, science, and management disciplines. It addresses the issues involved in the planning, development, and implementation of technological capabilities to shape and accomplish the strategic and operational objectives of an organization. It covers not only R&D management, but also the entire spectrum of managerial concerns in technology-based organizations. This includes issues relating to new product development, human resource management, innovation process management, project management, technological fusion, marketing, technological forecasting and strategic planning.
The journal provides an interface between technology and other corporate functions, such as R&D, marketing, manufacturing and administration. Its ultimate goal is to make a profound contribution to theory development, research and practice by serving as a leading forum for the publication of scholarly research on all aspects of technology, innovation, and engineering management.