G2TT
来源类型Article
规范类型其他
DOI10.1016/j.ejor.2017.09.012
Scenario-based portfolio model for building robust and proactive strategies.
Vilkkumaa E; Liesiö J; Salo A; Ilmola-Sheppard L
发表日期2018
出处European Journal of Operational Research 266 (1): 205-220
出版年2018
语种英语
摘要In order to address major changes in the operational environment, companies can (i) define scenarios that characterize different alternatives for this environment, (ii) assign probabilities to these scenarios, (iii) evaluate the performance of strategic actions across the scenarios, and (iv) choose those actions that are expected to perform best. In this paper, we develop a portfolio model to support the selection of such strategic actions when the information about scenario probabilities is possibly incomplete and may depend on the selected actions. This model helps build a strategy that is robust in that it performs relatively well in view of all available probability information, and proactive in that it can help steer the future as reflected by the scenarios toward the desired direction. We also report a case study in which the model helped a group of Nordic, globally operating steel and engineering companies build a platform ecosystem strategy that accounts for uncertainties related to markets, politics, and technological development.
主题Advanced Systems Analysis (ASA)
关键词Decision support systems Portfolio selection Scenarios Incomplete probabilities
URLhttp://pure.iiasa.ac.at/id/eprint/14832/
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/131190
推荐引用方式
GB/T 7714
Vilkkumaa E,Liesiö J,Salo A,et al. Scenario-based portfolio model for building robust and proactive strategies.. 2018.
条目包含的文件
文件名称/大小 资源类型 版本类型 开放类型 使用许可
1-s2.0-S037722171730(3946KB)智库出版物 限制开放CC BY-NC-SA浏览
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
[Vilkkumaa E]的文章
[Liesiö J]的文章
[Salo A]的文章
百度学术
百度学术中相似的文章
[Vilkkumaa E]的文章
[Liesiö J]的文章
[Salo A]的文章
必应学术
必应学术中相似的文章
[Vilkkumaa E]的文章
[Liesiö J]的文章
[Salo A]的文章
相关权益政策
暂无数据
收藏/分享
文件名: 1-s2.0-S0377221717308020-main.pdf
格式: Adobe PDF
此文件暂不支持浏览

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。