摘要
基于创新扩散理论分析在由线下网络与线上网络构成的双层网络效应下,众筹支持者中充当"创新代理人"的群体如何利用簇群形成帮助众筹发起者实现新产品从早期少数采纳者到早期多数者的跨越扩散过程.同时基于传染病模型,建立众筹平台的双层网络O_SCI_2R模型,并运用Matlab对"创新代理人"的数量和影响力对线上/线下创新扩散的影响、"创新代理人"对簇内创新扩散的影响以及簇对线上/线下创新扩散的影响进行模拟仿真.研究结论显示:"创新代理人"数量越多,线上/线下创新扩散越快;"创新代理人"影响力越大,线上/线下创新扩散越快;"创新代理人"不仅促进了簇内的创新扩散,也扩大了簇群间的创新扩散;围绕"创新代理人"形成的簇在最初短时间内促进了线上/线下创新扩散,但并不能决定后期的创新扩散.
Based on the innovation diffusion theory, the paper analyzes how the ＂innovation agents＂ groups in crowdfunding backers can use the cluster formation to help entrepreneurs to achieve the new products diffusion process from early adopters to early majority in crowdfunding platform, which is the 2-layer coupling network composed of online network and offline network. A 2-layer network O_SCI_2R model is established based on epidemic models, and simulations are conducted using Matlab to study the impact of the number and the influence power of ＂innovation agents＂ on innovation diffusion across online and offline, the impact of ＂innovation agents＂ on innovation diffusion within clusters, and the impact of clusters on innovation diffusion across online and offline. The research results include：（1） the more ＂innovation agents＂ participate in crowdfunding, the faster the innovation diffusion is,（2） the greater influence power the innovation agent processes, the faster the innovation diffusion spreads online and offline,（3）the ＂innovation agents＂ not only promote the innovation diffusion within the clusters, but also expand the innovation diffusion between clusters, and（4） clusters formed around the ＂innovation agents＂ can promote the innovation diffusion in the early stage and for a short term, but are not determinants for innovation diffusion over the long term.
作者
周冬梅
陈婷
赵闻文
鲁若愚
ZHOU Dong-mei, CHEN Ting2, ZHAO Wen-wen1, LU Ruo-yu1(1. School of Economics and Management, University of Electronic Science and Technology of China, Chengdu 610054, China： 2. School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 610054, Chin)
出处
《控制与决策》
EI
CSCD
北大核心
2018年第4期764-768,共5页
Control and Decision
基金
国家自然科学基金项目(71602018)
四川省软科学项目(2016ZR0121)
