宽带技术选择决策的实物期权方法

Q4 Business, Management and Accounting International Journal of Multicriteria Decision Making Pub Date : 2019-01-01 DOI:10.1504/IJMCDM.2019.106917
Marco Araújo, L. Ekenberg, J. Confraria, M. Danielson
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引用次数: 1

摘要

欧盟最近启动了一项雄心勃勃的计划,通过补贴农村地区网络基础设施的部署,到2025年大幅减少无法获得100mbps宽带连接的家庭数量。因此,政府和监管机构等决策者必须在一堆备选方案中选择一种能够大规模提供所需吞吐量的技术,这是基于基础设施成本和用户对每种备选方案的感知效用之间的权衡。这种权衡并不简单,因为没有一种直接的方法来将用户的感知效用与网络基础设施成本进行排序。在本文中,我们提出了一种基于实物期权的方法,该方法使用多属性价值理论作为输入,输出每种技术的价值,以及项目的风险和成本。
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A real options approach to decision making in broadband technology selection
The European Union has recently launched an ambitious plan to mitigate drastically, by 2025, the number of households lacking access to a 100 Mbps broadband connection through the subsidisation of the deployment of network infrastructure in rural areas. Decision makers such as governments and regulatory authorities therefore have to choose, among a pool of alternatives, a technology capable of delivering the required throughput on a large scale, based on a trade-off between the infrastructure costs and the subscribers' perceived utility for each alternative. Such a trade-off is not simple, since there is no straightforward manner to rank the subscribers' perceived utility against the network infrastructure cost. In this article, we propose a methodology based on real options, which outputs the value of each technology using multi-attribute value theory as an input, alongside the project's risk and its costs.
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来源期刊
International Journal of Multicriteria Decision Making
International Journal of Multicriteria Decision Making Business, Management and Accounting-Strategy and Management
CiteScore
0.70
自引率
0.00%
发文量
9
期刊介绍: IJMCDM is a scholarly journal that publishes high quality research contributing to the theory and practice of decision making in ill-structured problems involving multiple criteria, goals and objectives. The journal publishes papers concerning all aspects of multicriteria decision making (MCDM), including theoretical studies, empirical investigations, comparisons and real-world applications. Papers exploring the connections with other disciplines in operations research and management science are particularly welcome. Topics covered include: -Artificial intelligence, evolutionary computation, soft computing in MCDM -Conjoint/performance measurement -Decision making under uncertainty -Disaggregation analysis, preference learning/elicitation -Group decision making, multicriteria games -Multi-attribute utility/value theory -Multi-criteria decision support systems and knowledge-based systems -Multi-objective mathematical programming -Outranking relations theory -Preference modelling -Problem structuring with multiple criteria -Risk analysis/modelling, sensitivity/robustness analysis -Social choice models -Theoretical foundations of MCDM, rough set theory -Innovative applied research in relevant fields
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