Project Ranking in Petroleum Exploration

IF 1 4区 经济学 Q4 BUSINESS Engineering Economist Pub Date : 2020-01-02 DOI:10.1080/0013791X.2019.1593570
I. Szilágyi, Z. Sebestyén, T. Tóth
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引用次数: 9

Abstract

Abstract Project ranking based on project value is an essential management task for organizations that face resource bottlenecks. Project value focuses on the hard elements of projects that can be expressed in monetary terms. In the petroleum exploration business, however, there is also soft information, like effects on corporate liquidity, advantages of compliance with the strategic goals, or learning potential and organizational development, which may change the ranking hierarchy. The aim of this research is to provide a solution for incorporating industry-based selected soft data in the project ranking process. The process is illustrated with a case study. We took the structured system of criteria identified from the petroleum industry.
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石油勘探项目排名
摘要基于项目价值的项目排名是面临资源瓶颈的组织的一项重要管理任务。项目价值侧重于项目中可以用货币表示的硬要素。然而,在石油勘探业务中,也存在软信息,如对公司流动性的影响、遵守战略目标的优势,或学习潜力和组织发展,这些信息可能会改变排名层次。本研究的目的是提供一种解决方案,将基于行业的选定软数据纳入项目排名过程。通过案例研究说明了这一过程。我们采用了从石油行业确定的结构化标准体系。
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来源期刊
Engineering Economist
Engineering Economist ENGINEERING, INDUSTRIAL-OPERATIONS RESEARCH & MANAGEMENT SCIENCE
CiteScore
2.00
自引率
0.00%
发文量
14
审稿时长
>12 weeks
期刊介绍: The Engineering Economist is a refereed journal published jointly by the Engineering Economy Division of the American Society of Engineering Education (ASEE) and the Institute of Industrial and Systems Engineers (IISE). The journal publishes articles, case studies, surveys, and book and software reviews that represent original research, current practice, and teaching involving problems of capital investment. The journal seeks submissions in a number of areas, including, but not limited to: capital investment analysis, financial risk management, cost estimation and accounting, cost of capital, design economics, economic decision analysis, engineering economy education, research and development, and the analysis of public policy when it is relevant to the economic investment decisions made by engineers and technology managers.
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