文献类型：期刊文献

英文题名：System optimization model of adoption of a new infrastructure with multi-resource and multi-demand sites

作者：Zhang, Yaru[1]; Chen, Huayi[1]; Ma, Tieju[1,2]

机构：[1] School of Business, East China University of Science and Technology, Shanghai, 200237, China; [2] International Institute for Applied System Analysis, Schlosplatz 1, Laxenburg, A-2361, Austria

年份：2016

卷号：25

期号：1

起止页码：62

外文期刊名：Journal of Systems Science and Systems Engineering

收录：EI(收录号：20161002049227)

语种：英文

外文关键词：Learning algorithms - Investments - Engineering education

摘要：This study develops a conceptual system optimization model of adoption of a new infrastructure technology with multiple resource sites and multiple demand sites. With the model, this paper analyzes how the distance, spillover effect, demand, initial investment cost, and learning rate influence the adoption of the new infrastructure technology and presents optimization results of the model in different scenarios. The main findings of the study are: from the perspective of system optimization, (1) different distances among different resource-demand pairs will result in different adoption time of a new infrastructure; (2) technological spillover among different resource-demand pairs will accelerate the adoption of a new infrastructure; (3) it is hard to say that higher demand will pull faster adoption of a new infrastructure, and the optimal time of adopting of a new infrastructure is very sensitive to its technological learning rate. ? 2016, Systems Engineering Society of China and Springer-Verlag Berlin Heidelberg.