STRUCTURAL DETERMINANTS OF ENTERPRISE INNOVATION USING A SOCIAL NETWORK ANALYSIS APPROACH
รหัสดีโอไอ
Creator Noppadol Amdee
Title STRUCTURAL DETERMINANTS OF ENTERPRISE INNOVATION USING A SOCIAL NETWORK ANALYSIS APPROACH
Contributor Dan Zhang, Adisak Sangsongfa, Choat Inthawongse
Publisher Pibulsongkram Rajabhat University
Publication Year 2568
Journal Title Life Sciences and Environment Journal
Journal Vol. 26
Journal No. 2
Page no. 364-378
Keyword enterprise innovation performance, social network analysis, knowledge interaction network, structural embeddedness
URL Website https://ph01.tci-thaijo.org/index.php/psru/index
Website title Life Sciences and Environment Journal
ISSN 2773-9201
Abstract This study employs Social Network Analysis (SNA) to investigate the structural mechanisms that influence Enterprise Innovation Performance (EIP) within an open innovation ecosystem. Based on expert judgment data, a Knowledge Interaction Network model was constructed. The results reveal 220 edges in the network, indicating complex relationships among the 20 factors. The network density is 0.703, and the average distance between nodes is 1.468, suggesting high interconnections and a significant impact on innovation performance. Quantitative analysis of key indicators, such as degree centrality, betweenness centrality, and closeness centrality, reveals a core-periphery network topology. The study finds that critical factors, such as Knowledge Absorption Efficiency (A2) and Cross-functional Collaboration (B3), occupy central positions and play pivotal roles in knowledge diffusion and cross-boundary integration. These core nodes not only facilitate knowledge flow and coordination but also emphasize that innovation performance depends not only on the presence of specific capabilities but also on their structural embeddedness within the network. This study advances the theoretical understanding of the capability-structure-performance mechanism in innovation management, offering practical guidance to enterprises seeking to enhance their innovation capabilities through strategic network positioning.
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