基于SVM方法的国际工程项目风险特征分析

Di Yao, W. Zhan
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引用次数: 1

摘要

随着“一带一路”倡议的实施,中国企业经过多年的发展,积累了大量的经验和学术研究。与国内项目相比,由于外部环境的复杂性,海外项目面临着更大的风险和挑战。国际工程承包市场的整体风险特征研究较少,研究多从项目入手,多集中在单个项目或项目组合上。本文从中国知网(CNKI)上收集了8个行业的73个案例,根据《中国国际工程承包年度报告(2017-2018)》选取类别,分析不同行业的风险特征。首先,通过文献综述,建立一个完整的风险识别清单。其次,将每个项目的次级风险因素作为其所属行业的特征。然后,本文采用支持向量机方法训练分类器来区分风险身份。通过准确性证明行业间存在风险差异。最后,分析了交通运输项目、电力建设项目等项目的风险特征,为企业在各自领域的项目风险管理提供建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis on Risk Features of International Engineering Projects Based on SVM Method
With the implementation of “The Belt and Road Initiative”, Chinese companies have accumulated a lot of experience and academic researches after years of development. Compared with domestic ones, overseas projects are confronted with severer risks and challenges due to the complexity of their external environment. With considerable researches start with projects and focus on single projects or portfolio, seldom attention has been paid to overall risk features of international engineering contracting market. In this work, 73 cases of 8 industries are collected from CNKI to analyze risk features of different industries, with categories chosen based on “Annual Report on China International Project Contracting (2017-2018)”. Firstly, a thorough identified risks list is established through literature review. Secondly, secondary risk factors of each project are counted as features stand for the industry it belongs. Then, SVM method is adopted here to train classifiers for distinguishing risk identities from each other. The existence of risk differences among industries is proved through accuracy. Finally, risk characteristics of transportation projects, electric power construction projects and others are analyzed to provide companies with advices on project risk management in their fields.
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