Visualization analysis of research hotspots and development trends of  technological innovation efficiency based on COOC

Changjuan Han; Shikui Cao

doi:10.1117/12.2674799

2 May 2023 Visualization analysis of research hotspots and development trends of technological innovation efficiency based on COOC

Changjuan Han, Shikui Cao

Author Affiliations +

Proceedings Volume 12642, Second International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2023); 126422L (2023) https://doi.org/10.1117/12.2674799
Event: Second International Conference on Electronic Information Engineering, Big Data and Computer Technology (EIBDCT 2023), 2023, Xishuangbanna, China

Abstract

Objective This study analyzes, summarizes and summarizes the hotspots and trends in the research literature on technological innovation efficiency, and provides a theoretical basis for future scientific research. Methods We searched the papers on "technological innovation efficiency" from 1999 to 2022 through the database of China Knowledge Network (CNKI), and used COOC13.4 software VOSviewer1.6.13 to analyze the key words, research institutions and authors in this field. The visual scientometric analysis was conducted using COOC13.4 software VOSviewer1.6.13 to visualize key words, research institutions and authors in this field. Results A total of 1,228 papers were included. The author found that the overall trend of the number of publications was on the rise through the knowledge mapping analysis, and the cooperation between the publishing institutions was not close. Research hotspots include technological innovation efficiency, technological innovation, data envelopment analysis (DEA), high-tech industry, enterprise scale, innovation environment, and influencing factors. Conclusion The research on technological innovation efficiency in recent years is divided into three main development stages respectively, the budding exploration stage, the rapid development stage, and the stable improvement stage. Future research needs to strengthen the cooperation between different institutions and authors. This paper predicts that this research field will be broadened in the future and the research on technological innovation efficiency will develop toward a diversified trend.

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Changjuan Han and Shikui Cao "Visualization analysis of research hotspots and development trends of technological innovation efficiency based on COOC", Proc. SPIE 12642, Second International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2023), 126422L (2 May 2023); https://doi.org/10.1117/12.2674799

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KEYWORDS

Analytical research

Industry

Visualization

Data modeling

Document management

Databases

Manufacturing

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