Iryna O. Hubarieva, Oleksandr O. Marushchenko, Anton V. Koss
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引用次数: 0
摘要
本文的目的是利用文献计量学分析确定项目风险管理领域研究的科学文献中陈述发展的背景和时间规律。为了实现这一目标,本研究分析了以下方面:世界各国学者的出版活动趋势和结构模式;科学家隶属关系的地理结构;项目风险管理方面被引次数最多的文章的主题,并使用VOSviewer v. 1.6.10作为研究工具,对Scopus数据库中项目风险管理方面的相关文献进行文献计量分析。以“项目风险”为中心类别的文献计量分析使得有可能确定项目风险管理的八个科学研究集群:第一个集群侧重于风险管理方法,投资和创新风险,创新产品的开发和实施,创业;第二部分论述了信息技术、信息系统、软件领域的项目风险管理,风险因素的识别和项目效率的评价;第三——对风险管理的优化、建模、风险管理系统中方法和工具的运用(层次分析法、模糊逻辑法);四是对项目的风险概率、成本和复杂性进行评估;第五——对工程质量进行评估,充实管理策略;第六——关于产品生命周期的特殊性、项目基础设施、具体项目风险的管理(利益相关者、政治形势、技术发展);第七部分——关于项目风险管理标准、算法和模型的实际应用;第八个集群是基于项目的选择,设定风险限制,开发算法和使用人工智能。一个很有前途的管理领域是资讯科技领域的风险管理,即:资讯科技项目和软件的风险管理;创业公司和创新产品的开发和实施;机器学习和人工智能的使用。
Status and Trends of Research in the Field of Project Risk Management
The aim of the article is to determine the contextual and temporal regularities of the development of the presentation in the scientific literature of research in the field of project risk management using bibliometric analysis. To achieve this aim, this study analyzed the following: the trend and structural patterns of publication activity of scholars around the world; the geographical structure of affiliation of scientists; the topics of the most cited articles on project risk management, also a bibliometric analysis using the instrumentarium of VOSviewer v. 1.6.10 as the research tools for analyzing relevant literature from the Scopus database on project risk management. A bibliometric analysis with the central category of «project risk» made it possible to identify eight clusters of scientific research on project risk management: the first cluster is focused on risk management methodology, investment and innovation risk, development and implementation of an innovative product, startup; the second – on project risk management in the field of information technology, information systems, software, identification of risk factors and evaluation of project efficiency; the third – on the optimization of risk management, modeling, the use of methods and instruments in the risk management system (hierarchy analysis method, fuzzy logic method); the fourth – on the assessment of risk probability, cost and complexity of the project; the fifth – on the assessment of the quality of the project, substantiation of the management strategy; the sixth – on the peculiarities of the product life cycle, project infrastructure, management of specific project risks (stakeholders, political situation, technology development); the seventh – on the practical application of standards, algorithms, and models of project risk management; the eighth cluster is based on substantiating the choice of the project, setting risk limits, developing algorithms, and using artificial intelligence. A promising area of management is risk management in the field of information technology, namely: risk management of IT projects and software; development and implementation of startups and innovative products; the use of machine learning and artificial intelligence.