Scholarlink

<p>This study employs comprehensive bibliometric analysis techniques to map the related intellectual bases of Sectoral Innovation Systems (SIS) research. Analyzing a dataset of 659 scholarly articles and their 30,734 references extracted from the Web of Science Core Collection, we construct a network of 233 frequently cited references. Through co-citation analysis, burst detection, and LinLog modularity clustering, we identify five distinct intellectual bases that reveal the diverse theoretical sources SIS scholars use to understand sectoral innovation systems including: technological regimes, innovation studies, interactive learning, sustainability transitions, and technological catch-up. Using sigma scores to identify transformative works across these periods. The study also traces the evolution of research fronts in the field from 2001 to 2024: a foundational phase dominated by technological regimes literature before 2007; a transitional period (2007–2016) characterized by increased reliance on interactive learning and sustainability transitions; and the final phase since 2017, during which the field increasingly aligns with literature on technological catch-up and addresses contemporary challenges. Our findings suggest not only the growing intellectual cohesion of SIS research but also its evolution toward a more practical orientation that bridges theoretical frameworks with policy applications. This systematic mapping provides insights into future of the filed particularly investigating the public sector innovation and potential research directions within the SIS field.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Sectoral innovation systems: intellectual transformation and emerging research trajectories

  • 期刊论文

  • 发表日期：

    2026年4月25日

查看全文
  • Raheleh Fathollahi,
  • Ebrahim Souzanchi Kashani

摘要

This study employs comprehensive bibliometric analysis techniques to map the related intellectual bases of Sectoral Innovation Systems (SIS) research. Analyzing a dataset of 659 scholarly articles and their 30,734 references extracted from the Web of Science Core Collection, we construct a network of 233 frequently cited references. Through co-citation analysis, burst detection, and LinLog modularity clustering, we identify five distinct intellectual bases that reveal the diverse theoretical sources SIS scholars use to understand sectoral innovation systems including: technological regimes, innovation studies, interactive learning, sustainability transitions, and technological catch-up. Using sigma scores to identify transformative works across these periods. The study also traces the evolution of research fronts in the field from 2001 to 2024: a foundational phase dominated by technological regimes literature before 2007; a transitional period (2007–2016) characterized by increased reliance on interactive learning and sustainability transitions; and the final phase since 2017, during which the field increasingly aligns with literature on technological catch-up and addresses contemporary challenges. Our findings suggest not only the growing intellectual cohesion of SIS research but also its evolution toward a more practical orientation that bridges theoretical frameworks with policy applications. This systematic mapping provides insights into future of the filed particularly investigating the public sector innovation and potential research directions within the SIS field.