The S curve: A dynamic view of in ERP evaluation

IF 1 4区 经济学 Q4 BUSINESS Engineering Economist Pub Date : 2023-05-13 DOI:10.1080/0013791X.2023.2209080
Liang-Hong Wu, Khire Rushikesh Ulhas, K. Tan, Liang-Chuan Wu
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引用次数: 0

Abstract

Abstract Previous Enterprise Resource Planning (ERP) evaluation methods using closed-form solutions have ignored the unique characteristics of ERP’s life cycle. We propose a lifecycle model based on simulation and stochastic processes to capture and evaluate ERP’s value, including additional key factors. Our results show that accounting for the life cycle, ERP value differs from traditional wisdom and supports decision making from various factors and scopes, considering ERP’s implementation’s unique characteristics.
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S曲线:ERP评价的动态视角
以往的企业资源规划(ERP)评价方法采用闭式解,忽略了ERP生命周期的独特性。我们提出了一个基于模拟和随机过程的生命周期模型来捕捉和评估ERP的价值,包括其他关键因素。我们的研究结果表明,考虑到ERP实施的独特特点,考虑到生命周期,ERP价值不同于传统的智慧,并从各个因素和范围支持决策。
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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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Introducing a real option framework for EVA/MVA analysis Avoiding momentum crashes using stochastic mean-CVaR optimization with time-varying risk aversion The S curve: A dynamic view of in ERP evaluation Optimization-based tail risk hedging of the S&P 500 index Letter from the editor
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