Research on the strategic alliance innovation system evolution mechanism: the perspective of knowledge flow

2018 ◽  
Vol 22 (S4) ◽  
pp. 9209-9227 ◽  
Author(s):  
Jianyu Zhao ◽  
Luan Dong ◽  
Xi Xi
2021 ◽  
pp. 097172182110204
Author(s):  
Yi Su ◽  
Xuesong Jiang ◽  
Zhouzhou Lin

A small-world simulation model of a regional innovation system combining the strength of the intersubject relationship of the regional innovation system with the loosely coupled system is constructed. We use a simulation to observe knowledge flow within the regional innovation system under relationships of varying strength. The results show that when the relationship between the subjects of the regional innovation system reaches a certain strength, the system will exhibit high module independence and high network integrity, forming a loosely coupled system. The knowledge flow in the system exhibits the emergence of a fast flow rate, a high mean value and little variance. When relationship strength is at other levels, the emergence of knowledge cannot be identified.


2018 ◽  
Vol 10 (11) ◽  
pp. 4221 ◽  
Author(s):  
Tao Chen ◽  
Guangqiu Huang ◽  
Ayokunle Olanipekun

The aim of this study is to simulate the self-organized evolution mechanism of inner innovation of large-scale construction enterprises (LSCE) under different contexts. Based on NK stochastic combinatorial optimization model with two parameters (N, K), this study proposes three modules—ambidexterity, punctuated equilibrium, and automation—to simulate the change behaviors of the inner innovation system. Furthermore, this study analyses the influence of factor correlation on inner innovation performance under discusses nine different combination situations. The research results show that (a) regardless of how the relationship strength changes, fitness increases with an increasing K value; and (b) the comparison of optimization modes show that the punctuated equilibrium mode can guarantee the long- and short-term inner innovation performance LSCE. This study therefore reveals the mutual effects of the factors in the inner innovation system in LSCE and provides an effective model for internal systems analyses in the construction industry and in other sectors.


2012 ◽  
Vol 452-453 ◽  
pp. 817-822
Author(s):  
Si Qi Tan ◽  
Shu Hang Guo ◽  
Yan Chao Ding

Under the innovation system integrated with production, teaching and researching, the evolution mechanism of knowledge theme becomes central point in academic fields. However, previous researches mostly focused on analyzing the tendency of academic achievements, didn’t bring the potential interaction between the production and researching into consideration. In this paper we will use the co-integration analysis and Granger causality test methods, which are prevalent in economics research, to study the evolution of specific knowledge theme – “Cloud computing”. Our main purpose is to reveal the evolution mechanism as well as general principle of popularity of one theme.


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