全球智库信息集成服务系统(G2TT): Optimizing systematic technology adoption with heterogeneous agents.

G2TT

来源类型	Article
规范类型	其他
DOI	10.1016/j.ejor.2016.07.007
	Optimizing systematic technology adoption with heterogeneous agents.
	Chen H; Ma T
发表日期	2017
出处	European Journal of Operational Research 257 (1): 287-296
出版年	2017
语种	英语
摘要	The traditional operational optimization models of systematic technology adoption commonly assume the existence of a global social planner and ignore the existence of heterogeneous decision makers who interact with each other. This paper develops a stylized (or conceptual) optimization model of systematic technology adoption with heterogeneous agents (i.e., decision makers) and uncertain technological learning. Each agent attempts to identify optimal solutions to adopting technologies for a portion of the entire system. The agents in the model have different foresight and different risk attitudes and interact with one another in terms of technological spillover.
主题	Transitions to New Technologies (TNT)
关键词	OR in societal problem analysis Systematic technology adoption Optimization Heterogeneous agents Uncertain technological learning
URL	http://pure.iiasa.ac.at/id/eprint/13984/
来源智库	International Institute for Applied Systems Analysis (Austria)
引用统计
资源类型	智库出版物
条目标识符	http://119.78.100.153/handle/2XGU8XDN/130871
推荐引用方式 GB/T 7714	Chen H,Ma T. Optimizing systematic technology adoption with heterogeneous agents.. 2017.