使用现有业务案例验证用于预测项目终止阶段的模型

IF 1 4区经济学 Q4 BUSINESS Engineering Economist Pub Date : 2019-02-03 DOI:10.1080/0013791X.2018.1555299

Nithin Saravana Marthandam, Ean H. Ng, Javier Calvo-Amodio, Chinmay Narwankar, L. A. Barroso

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引用次数: 0

摘要

摘要对项目失败及其后续终止阶段的研究很少；使用定量方法的研究几乎不存在。这很可能是因为组织通常不收集项目失败的数据，无法共享这些数据，或者两者兼而有之。本文的贡献有两方面：（1）展示一种使用实际业务案例验证模型的方法；（2）使用该方法验证项目终止阶段预测模型（PTPFM）。该模型通过四个商业案例进行了验证，将模型的结果与现实中做出的决策进行了比较。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Validating a model for forecasting the project termination phase using existing business cases

Abstract Studies on project failure and its subsequent termination phase are scarce; studies that use a quantitative approach are almost nonexistent. This is most likely because organizations usually do not collect data on project failures, are unable to share such data, or a combination of both. The contribution of this article is twofold: to (1) showcase a methodology to validate a model using actual business cases and (2) validate a project termination phase forecast model (PTPFM) using the methodology. The model is validated through four business cases, comparing the results from the model to the decisions made in reality.

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来源期刊

Engineering Economist ENGINEERING, INDUSTRIAL-OPERATIONS RESEARCH & MANAGEMENT SCIENCE

CiteScore

2.00

自引率

0.00%

发文量

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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