Examining the Characteristics and Influencing Factors of Collaborative Innovation in the Shanghai Cooperation Organization: A Network Perspective DOI Creative Commons
C. Zhang, Jinying Wang,

Liangzhe Xu

et al.

SAGE Open, Journal Year: 2025, Volume and Issue: 15(2)

Published: April 1, 2025

Against the backdrop of intensifying anti-globalisation, scientific and technological cooperation among regional international organisations plays an increasingly significant role. Cooperation Shanghai Organization (SCO) countries has continued deepening—expanding from security domain to include education, science, technology, other areas—and become important aspect cooperation. This study uses Web Science core collection co-publications construct a collaborative network explore characteristics influencing factors SCO. The main findings are as follows. (a) amount notably increased after 2015. Chemistry, physics, engineering, computing, application-oriented subjects, research areas collaboration. (b) Major differences exist in linkages institutions between SCO member states network, based on Social Network Analysis. (c) A Quadratic Assignment Procedure regression analysis reveals that academic size social proximity key promoting Further, geographical distance, economic proximity, language similarity, university were heterogeneous certain years.

Language: Английский

Examining the Characteristics and Influencing Factors of Collaborative Innovation in the Shanghai Cooperation Organization: A Network Perspective DOI Creative Commons
C. Zhang, Jinying Wang,

Liangzhe Xu

et al.

SAGE Open, Journal Year: 2025, Volume and Issue: 15(2)

Published: April 1, 2025

Against the backdrop of intensifying anti-globalisation, scientific and technological cooperation among regional international organisations plays an increasingly significant role. Cooperation Shanghai Organization (SCO) countries has continued deepening—expanding from security domain to include education, science, technology, other areas—and become important aspect cooperation. This study uses Web Science core collection co-publications construct a collaborative network explore characteristics influencing factors SCO. The main findings are as follows. (a) amount notably increased after 2015. Chemistry, physics, engineering, computing, application-oriented subjects, research areas collaboration. (b) Major differences exist in linkages institutions between SCO member states network, based on Social Network Analysis. (c) A Quadratic Assignment Procedure regression analysis reveals that academic size social proximity key promoting Further, geographical distance, economic proximity, language similarity, university were heterogeneous certain years.

Language: Английский

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