Open Source Innovation—— A Research Review and Prospects
Year: 2025
Type: conference-paper
Abstract: Against the backdrop of the Fourth Industrial Revolution and the advancement of technologies such as big data and artificial intelligence, the strategic value of open-source technology has become increasingly prominent, making relevant research particularly urgent. This paper aims to sort out the current research status, hotspots, and trends in the field of open-source innovation, so as to provide references for both practical applications and academic research. This study extracted 308 international journal articles on open-source innovation (2001–2025) from the Web of Science database, and used CiteSpace to conduct bibliometric analyses, including those of literature publication trends, keyword co-occurrence, keyword frequency, keyword clustering, and citation burst dynamics. The results show that the literature presents a three-stage evolutionary trajectory of “steady incubation-stable adjustment-rapid growth” (with growth driven by AI after 2020); “open-source software” serves as the core of the field, while “knowledge-performance-model” form the key research dimensions and form a virtuous cycle; a multi-dimensional research framework centered on “model-organization-technology-methodology” and covering 10 sub-directions has been established; and the research trends advance along the path of “theoretical exploration-technological application-frontier integration”. This study outlines the knowledge map of this field, verifies the consistency of its theoretical framework, and provides support for research on the integration of AI and open-source innovation as well as practices related to digital transformation.
Authors: Yu Ren, Zhongying Yang
Institution: Shandong Institute of Commerce & Technology
Language: English
Subfield: Computer Science Applications
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W7127650859