The Analysis of Knowledge Network Efficiency in Industrial Clusters

Author(s):  
Jianfeng Chen ◽  
Dewen Chen ◽  
Ze Li
Author(s):  
Lucio Biggiero ◽  
Marco Valente

In high-tech industrial clusters as the aerospace most collaborations for innovations are highly knowledge-specific and form a (relatively dense) knowledge network. With reference to the case of the aerospace industrial cluster of the Lazio Region, in this work we study the network dynamics of its core organizations (firms, universities, and research centers). By applying the methodology of NK simulation modeling, we explore what happens lacking the initial contribution of knowledge provided by universities and research centers. Further, we investigate the effects of the introduction of minimum requisites in terms of knowledge heterogeneity and knowledge amount. We show that, within a general favorable condition of activation rules, trajectories are quite short and knowledge dynamics is sensitive to the requisite of knowledge heterogeneity, when it is set-up around half of its potential range. We will conclude that, despite some interesting results like the ones we have found and many others that could be discovered, this methodology has substantial failures mostly due to its requisites of computational burden and topological and behavioral invariance, which makes it hardly applicable and scarcely informative into empirical analysis of phenomena within economics and management sciences.


2021 ◽  
Vol 16 (5) ◽  
pp. 35
Author(s):  
Dongxia Huo ◽  
Saranan Photchanachan

Despite the sharp increase in awareness of workplace knowledge networks and creativity research, no attention has been paid to objectively visualizing the evolution of this fast-growing area to complement prior qualitative reviews. This bibliometric analysis involves an examination of 341 global knowledge networks and creativity articles in management-related research in the Web of Science database. Using CiteSpace V visualization literature measurement software, the knowledge map of the knowledge networks and creativity research was drawn using the scientific metrology knowledge graph research method. We conduct Publication time analysis, country/region analysis, journal co-citation analysis, author co-citation, document co-citation, the time-zone visualization analysis on research literature in the field of knowledge networks and creativity, the major researchers and topics in the field of knowledge network, and creativity are clearly presented. Moreover, we summarize the developing trends of knowledge networks and creativity research. On this basis, our review demonstrates the systematic development of literature and identifies trends to advance knowledge networks and creativity research.


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