知识创新视角下知识链中知识协同风险评价与管控模型研究

Research on Risk Assessment and Control Model of Knowledge Collaboration in Knowledge Chain from the Perspective of Knowledge Innovation

摘要:

知识链是以实现知识创造与知识协同为目的，知识链在知识协同时存在一定风险，为了降低知识链中知识协同风险，构建了知识链中知识协同风险评价与控制模型。首先在知识创新视角下确定知识链中知识协同风险评价体系，主要分为知识本身风险、技术风险、组织合作风险、人员风险四大类风险，然后利用改进直觉模糊评价方法和熵权法、变异系数相整合的组合赋权法，得出了知识链中知识协同风险最终组合权重系数，再运用改进的DEMATEL方法对网络舆情风险因素进行分析，通过综合影响度计算，得出知识链中知识协同各风险因素综合影响度，并构建基于激励机制、知识共享程度、知识联盟的知识链中知识协同风险管控模型。结果表明，知识共享能力、知识内隐性与转移能力、知识协同意愿、利益分配的明确性、知识学习能力是知识创新视角下知识链中进行知识协同的重要风险指标，该评价与管控模型有效减少了知识协同风险，具有一定的参考价值与实用价值。

关键词:改进直觉模糊;熵权法;知识创新;知识链;知识协同风险

Abstract:

The purpose of knowledge chain is to realize knowledge creation and knowledge collaboration. There are certain risks in knowledge chain. In order to reduce the risk of knowledge collaboration in knowledge chain, the risk evaluation and control model of knowledge collaboration in knowledge chain is constructed. Firstly, the risk evaluation system of knowledge collaboration in knowledge chain is determined from the perspective of knowledge innovation, which is mainly divided into four kinds of risks: knowledge itself risk, technology risk, organization cooperation risk and personnel risk. Then, the final combination weight coefficient of knowledge collaboration risk in knowledge chain is obtained by using the combination weight method of improved intuitionistic fuzzy evaluation method, entropy weight method and variation coefficient integration The improved DEMATEL method is used to analyze the risk factors of network public opinion. Through the calculation of the comprehensive influence degree, the comprehensive influence degree of each risk factor of knowledge collaboration in knowledge chain is obtained, and the risk management and control model of knowledge collaboration in knowledge chain based on incentive mechanism, knowledge sharing degree and knowledge alliance is constructed. The results show that knowledge sharing ability, tacit and transfer ability within knowledge, willingness of knowledge collaboration, clarity of benefit distribution and knowledge learning ability are important risk indicators of knowledge collaboration in knowledge chain from the perspective of knowledge innovation. The evaluation and control model effectively reduces the risk of knowledge collaboration, which has certain reference value and practical value.

Key words:improving intuitive fuzzy;entropy weight method;knowledge Innovation;knowledge chain;knowledge collaboration risk