G2TT
来源类型Article
规范类型其他
DOI10.1016/j.ejor.2014.03.031
Technology adoption with limited foresight and uncertain technological learning.
Chen H; Ma T
发表日期2014
出处European Journal of Operational Research 239 (1): 266-275
出版年2014
语种英语
摘要Most previous optimization models on technology adoption assume perfect foresight over the long term. In reality, decision-makers do not have perfect foresight, and the endogenous driving force of technology adoption is uncertain. With a stylized optimization model, this paper explores the adoption of a new technology, its associated cost dynamics, and technological bifurcations with limited foresight and uncertain technological learning. The study shows that when modeling with limited foresight and technological learning, (1) the longer the length of the decision period, the earlier the adoption of a new technology, and the value of a foresight can be amplified with a high learning rate. However, when the decision period is beyond a certain length, further extending its length has little influence on adopting the new technology; (2) with limited foresight, decisions aiming at minimizing the total cost of each decision period will commonly result in a non-optimal solution from the perspective of the entire decision horizon; and (3) the range of technological bifurcation is much larger than that with perfect foresight, but uncertainty in technological learning tends to reduce the range by removing the early adoption paths of a new technology.
主题Transitions to New Technologies (TNT)
关键词OR in societal problem analysis Technology adoption Optimization Limited foresight Endogenous technological change Uncertain technological learning
URLhttp://pure.iiasa.ac.at/id/eprint/10904/
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/130029
推荐引用方式
GB/T 7714
Chen H,Ma T. Technology adoption with limited foresight and uncertain technological learning.. 2014.
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Chen H]的文章
[Ma T]的文章
百度学术
百度学术中相似的文章
[Chen H]的文章
[Ma T]的文章
必应学术
必应学术中相似的文章
[Chen H]的文章
[Ma T]的文章
相关权益政策
暂无数据
收藏/分享

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。