Kybernetes ( IF 2.5 ) Pub Date : 2021-07-28 , DOI: 10.1108/k-01-2021-0074 Yue Long 1 , Lang Lu 1 , Pan Liu 2
Purpose
The purpose of this paper is to solve the problem of low efficiency on knowledge resources allocation in the strategic emerging industry (SEI), an incentive model of technology innovation based on knowledge ecological coupling is designed.
Design/methodology/approach
First, a principal–agent model of knowledge inputs and a knowledge ecological coupling model based on an improved Lotka–Volterra model are constructed. In addition, a numerical example about Chongqing Yongchuan industrial park, the emulation analysis and the associated discussions are conducted to analyze the equilibriums of principal–agent in different knowledge inputs. Further, the paper analyzes the evolutionary equilibrium in knowledge ecological coupling and reveals the dual adjustments of the node organization on knowledge inputs.
Findings
Thus, this paper shows that by establishing the relationships of knowledge ecological coupling based on “mutualism and commensalism,” node organization raises the level of knowledge inputs; an incentive mode of “knowledge ecological coupling relationship + technology innovation chain” is conductive to substantially improving the efficiency of knowledge resource allocation, and to stimulate the vitality of node organization for technology innovation in the strategic emerging industry (SEI).
Originality/value
This paper contributes to the extant researches in two ways. First, this paper reveals the dual adjustments of the node organizations in inputting knowledge, which broadens the vision and borders of the researches on traditional knowledge management. The methods of the traditional principal–agent model and the knowledge input/output profit model are also expanded. Second, this paper verifies that applying the mode of “knowledge ecological coupling relationship + technology innovation chain” in practice is conducive to enhancing the efficiency of the cross-organizational knowledge allocation in the strategic emerging industry (SEI).
中文翻译:
基于知识生态耦合的战略性新兴产业技术创新激励策略
目的
本文旨在解决战略性新兴产业(SEI)知识资源配置效率低下的问题,设计了一种基于知识生态耦合的技术创新激励模型。
设计/方法/方法
首先,构建了知识输入的委托代理模型和基于改进的 Lotka-Volterra 模型的知识生态耦合模型。此外,以重庆永川工业园区为例,通过仿真分析和相关讨论,分析了不同知识投入下的委托代理均衡。进一步分析了知识生态耦合的演化均衡,揭示了节点组织对知识输入的双重调整。
发现
因此,本文表明,通过建立基于“互利共生”的知识生态耦合关系,节点组织提高了知识输入水平;“知识生态耦合关系+技术创新链”的激励模式,有利于大幅提高知识资源配置效率,激发战略性新兴产业(SEI)技术创新节点组织的活力。
原创性/价值
本文从两个方面对现有研究做出贡献。首先,本文揭示了节点组织在知识输入方面的双重调整,拓宽了传统知识管理研究的视野和边界。传统的委托代理模型和知识输入/输出利润模型的方法也得到了扩展。其次,本文验证了在实践中应用“知识生态耦合关系+技术创新链”模式有利于提高战略性新兴产业(SEI)跨组织知识配置效率。