摘要
知识转移模式是保证企业跨产业知识转移并实现产业转型成功的关键。以跨产业转型企业的产业特征为研究对象,基于原产业生命周期、新产业生命周期和产业知识特征建立知识转移模式选择关系模型,同时利用BP神经网络构建跨产业转型企业知识转移模式选择仿真模型,并对样本企业进行仿真训练、测试及验证。研究结果表明:仿真模型具有良好的信度、效度以及泛化能力,可为跨产业转型企业根据产业特征选择知识转移模式提供借鉴。
Selecting knowledge transfer mode is the key to achieve enterprises＇ industry knowledge transfer and industry transformation successfully.This paper regards the industry characteristics of industry transformed enterprises as the research object,based on the original industry lifecycle,new industry lifecycle and industry knowledge characteristics,the relationship model of knowledge transfer mode selection is built,and the simulation model of knowledge transfer mode selection of industry transformed enterprise is established by applying the BP neural network.Through the simulation training,test and verification of the sample enterprises,the results show that the simulation model has good reliability,validity and high generalization ability,and can provide some references for industry transformed enterprises to select reasonable knowledge transfer mode according to the industry characteristics.
出处
《科技进步与对策》
CSSCI
北大核心
2015年第19期136-141,共6页
Science & Technology Progress and Policy
基金
国家自然科学基金项目(71273085)
教育部人文社会科学研究规划基金项目(12YJA630189)
关键词
产业转型
知识转移模式
产业生命周期
产业知识特征
BP神经网络
Industry Transformation
Knowledge Transfer Mode
Industry Lifecycle
Industry Knowledge Characteristics
BP Neural Network
