Analysis of scientific productions regarding knowledge management with the open innovation approach

Noruzi, Alireza, Nazeri, Najmeh, Jafari Baghiabadi, Somayeh, Farshid, Razieh, Aghaei Mirkabad, Azam Sadat and Asnafi, Amirreza Analysis of scientific productions regarding knowledge management with the open innovation approach. COLLNET Journal of Scientometrics and Information Management, 2025, vol. 19, n. 2, pp. 229-253. [Journal article (Paginated)]

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English abstract

Societal and governmental evolution is strongly influenced by knowledge, information and communication technologies, innovation, and globalization. This study explores knowledge management through the lens of open innovation, using scientometric analysis and systematic review. It examines scholarly literature indexed in the Web of Science to uncover the critical dimensions and components of knowledge management within an open innovation framework. This descriptive-applied research utilized both scientometric and systematic review approaches. In the scientometric phase, methods such as co-occurrence analysis, social network analysis, hierarchical clustering, and strategic diagram were applied. The systematic review employed PRISMA guidelines, content analysis, and coding strategies. Analytical tools included Excel, VOSviewer, UCINET, BIBExcel, and SPSS. The initial corpus comprised studies on knowledge management and open innovation (KMOI) indexed in Web of Science between 2006 and 2022. A total of 1,218 records were retrieved, from which 32 English articles and 29 Persian-language theses and papers were selected for review. The mean growth rate of scientific productions during 2006 to 2022 was 24.829%, indicating a positive trend in scientific productions associated with KMOI. The keywords “performance, research and development, and absorptive capacity” had the most frequency and links and the keywords “manufacturing companies, open innovation methods and open source software” had the most citations; Following the co-occurrence analysis of 4187 keywords extracted from scientific publications by applying a co-occurrence threshold of 5, 8 clusters containing 367 topics and keywords were formed and identified. Hierarchical clustering resulted in the formation of 5 clusters. Clusters of Knowledge management based on innovation and open innovation, and the requirements and consequences of open innovation are among mature clusters, clusters of innovation based on ecology and organizational performance based on knowledge and innovation are among developed clusters, and the cluster of knowledge management practices and processes with an open innovation approach has not yet reached maturity. The systematic review results led to the identification of 4 themes, 17 main categories and 316 subcategories. Among the identified codes, the codes “internal knowledge management capacity”, “innovation capacity”, “knowledge management capabilities”, “information technology infrastructures”, “innovative performance”, “diversity in openness”, “willingness to collaborate”, and “ Cooperation with suppliers and competitors” had the highest frequency, respectively. This research has provided an overview of the important and growing issues in this field by drawing on the existing knowledge related to knowledge management and open innovation. While creating a comprehensive perspective through the identification of the main topics and clusters discussed in this field, the research will be useful for those involved in the fields of research, education, and organizational managers. In other words, knowledge-based societies and organizations will be able to improve the level of learning, productivity, and create value by considering the concepts, themes, and categories identified in today’s competitive environment.

Item type: Journal article (Paginated)
Keywords: Knowledge management, Open innovation, Open science, Scientometrics, Systematic review
Subjects: B. Information use and sociology of information > BB. Bibliometric methods
F. Management. > FJ. Knowledge management
Depositing user: Dr. Alireza Noruzi
Date deposited: 25 Dec 2025 04:00
Last modified: 25 Dec 2025 04:00
URI: http://hdl.handle.net/10760/47423

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