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作 者:解学梅 韩宇航 代梦鑫 Xie Xuemei;Han Yuhang;Dai Mengxin(School of Economics and Management,Tongji University,Shanghai 200092,China;School of Management,Shanghai University,Shanghai 200444,China)
机构地区:[1]同济大学经济与管理学院,上海200092 [2]上海大学管理学院,上海200444
出 处:《科技进步与对策》2022年第21期85-95,共11页Science & Technology Progress and Policy
基 金:国家自然科学基金项目(71772118,71922016);国家社会科学基金重大项目(20&ZD059);上海市“东方学者计划”项目(TP2018033)。
摘 要:创新生态系统已成为学术界研究热点。已有文献主要聚焦创新生态或开放式创新,将两者结合探讨其演化机理的研究较少。基于国内外开放式创新相关研究,结合种群生态学理论,构建开放式创新生态系统演化模型,并运用MATLAB仿真对企业开放式创新生态系统的演化规律进行深入挖掘。结果表明:企业开放式创新生态系统演化过程包括初创期、成长期和成熟期3个阶段,且演化的4个序参量呈现如下态势:生态网络规模在3个阶段呈现逐步上升趋势,在成熟期达到最大值;生态网络密度在3个阶段呈现缓慢增长的S型趋势;生态网络平均聚类系数在初创期和成熟期增长缓慢,在成长期增长迅速;核心企业在3个阶段均占据优势生态位,并在成熟期达到最高位。Research on the innovation ecosystem has become a hot topic in academia.Existing literature mainly focuses on innovation ecology or open innovation,but relatively few studies combine the two topics and explore their evolution mechanism.Furthermore,most of the literature conducts qualitative analysis on the evolution of innovation ecosystem from the theoretical perspective,while the evolution mechanism of open innovation ecosystem remain under researched.To take one step toward addressing this gap in prior research,this study brings a new perspective on the mechanism of the open innovation ecosystem by using the simulation approach.Following the theory of population ecology and the prior research on open innovation at home and abroad,this study analyzes the evolution mechanism of firms'open innovation ecosystem by constructing an evolution model of the open innovation ecosystem.According to population ecology,this study uses four order parameters to measure the evolution mechanism of the open innovation ecosystem,including eco-network size,eco-network density,eco-network clustering coefficient,and ecological niche.By using MATLAB simulation,this study adopts the BA model with the scale-free network to construct the evolution mechanisms inter-period.Moreover,each period is required to go through 90 cycles of evolution.To reduce the fluctuation and random error,this study takes the average value of the same group of parameters repeated 10 times as the final simulation result.The results of visual simulation show the process that the four parameters evolve from generation to development.The findings show that the evolution process of firms’open innovation ecosystem includes three periods:viz.,the start-up period,the growth period,and the mature period.First,there are genetic behaviors among innovation members and commensalism relationships between populations in the open innovation ecosystem.More specifically,great innovation genes(e.g.,knowledge,resources,and technology)of the core members constantly spill out and
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