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作 者:齐廉文 吴洁[2] 庄蕾[1] 陈宇 夏磊[1] 卢冬冬 QI Lianwen;WU Jie;ZHUANG Lei;CHEN Yu;XIA Lei;LU Dongdong(School of Chemistry and Chemical Engineering,Jiangsu University,Zhenjiang 212001,China;School of Economics and Management,Jiangsu University of Science and Technology,Zhenjiang 212003,China;Big Data Management Center of Jiangsu Province,Nanjing 210036,China)
机构地区:[1]江苏大学化学化工学院,江苏镇江212001 [2]江苏科技大学经济管理学院,江苏镇江212003 [3]江苏省大数据管理中心,南京210036
出 处:《复杂系统与复杂性科学》2021年第4期74-83,共10页Complex Systems and Complexity Science
基 金:国家自然科学基金(71771161);江苏大学大学生思想政治教育专项课题(JDXGCB202002)。
摘 要:知识转移对企业知识积累和知识创造具有积极促进作用,也是塑造创业生态系统竞争优势的关键路径之一。根据生态学理论将创业生态系统内企业划分为共生型和竞争型两类异质企业,构建异质企业间知识转移模型,通过模型推导得到知识再生数的一般表达式,并对知识转移平衡点的存在性与稳定性进行了验证。结合数值仿真发现:企业间接触频率、知识整合时间、两类企业比例均会影响知识再生数的大小,进而影响知识转移的平衡点,且在知识再生数大于1的情况下,共生型企业占比上升会带来知识再生数的增加,系统内知识转移的活跃性也将得到增强;系统开放程度的增加能够显著促进知识转移。Knowledge transfer has a positive role in promoting the accumulation and creation of enterprise knowledge,and it is also one of the key ways to shape the competitive advantage of the entrepreneurial ecosystem.According to ecological theory,the enterprises in the entrepreneurial ecosystem are divided into two types of heterogeneous enterprises,symbiosis and competition,and a knowledge transfer model between heterogeneous enterprises is constructed.The general expression of the number of knowledge regeneration is derived from the model,and the balance point of knowledge transfer is obtained.The existence and stability of the system have been verified.Combined with numerical simulation,it is found that the frequency of inter-firm contact,the time of knowledge integration,and the proportion of the two types of enterprises will all affect the number of knowledge regeneration,which in turn affects the balance of knowledge transfer,and when the number of knowledge regeneration is greater than 1,the proportion of symbiotic enterprises will increase.As the number of knowledge reproduction increases,the activity of knowledge transfer within the system will also be enhanced;the increase in the degree of openness of the system can significantly promote knowledge transfer.
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