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Pattern and trend of scientific knowledge production in North Korea by a semantic network analysis of papers in journal titled technological innovation

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  • Jungwon Yoon

    (Hanyang University)

  • Han Woo Park

    (Yeungnam University)

Abstract

This study aims to examine current trends and patterns of North Korea’s knowledge production in science and technology (S&T) by employing scientometrics analysis. In order to capture the distinctive nature and characteristics of S&T activities in the Global South, this study analyzes co-occurring keywords of papers in the North Korean journal titled Technological Innovation to construct and visualize semantic and network structure of scientific knowledge. Although S&T has long been emphasized as an important means of rebuilding the economy and society in the country, research and development (R&D) activities have been veiled in the shadows, mainly due to difficulties in accessing adequate data and information. The results found that the terms “use” and “method” are predominately associated with a variety of keywords concerning urgent domestic issues regarding energy resources, agriculture, virus, and industrial automation. This pattern of knowledge production is manifested in the national S&T policy framework that has primarily focused on applied and problem-solving knowledge and techniques responding to social and economic needs. While North Korea has embraced S&T as a strategic means to cope with challenges encountered in its autarkic economy, a close and interactive relationship has established between science, technology and society.

Suggested Citation

  • Jungwon Yoon & Han Woo Park, 2020. "Pattern and trend of scientific knowledge production in North Korea by a semantic network analysis of papers in journal titled technological innovation," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(2), pages 1421-1438, August.
    • Handle: RePEc:spr:scient:v:124:y:2020:i:2:d:10.1007_s11192-020-03497-3
    DOI: 10.1007/s11192-020-03497-3
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    References listed on IDEAS

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    1. Han Woo Park & Jungwon Yoon, 2019. "Structural characteristics of institutional collaboration in North Korea analyzed through domestic publications," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(2), pages 771-787, May.
    2. Gohar Feroz Khan & Jacob Wood, 2015. "Information technology management domain: emerging themes and keyword analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(2), pages 959-972, November.
    3. Uddin, Shahadat & Khan, Arif, 2016. "The impact of author-selected keywords on citation counts," Journal of Informetrics, Elsevier, vol. 10(4), pages 1166-1177.
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    Cited by:

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    2. Abderahman Rejeb & Karim Rejeb & Steve Simske & Horst Treiblmaier, 2021. "Blockchain Technologies in Logistics and Supply Chain Management: A Bibliometric Review," Logistics, MDPI, vol. 5(4), pages 1-28, October.
    3. Yu-Peng Zhu & Han-Woo Park, 2022. "Use of Triangulation in Comparing the Blockchain Knowledge Structure between China and South Korea: Scientometric Network, Topic Modeling, and Prediction Technique," Sustainability, MDPI, vol. 14(4), pages 1-16, February.
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