Status and Trends of Research in the Field of Project Risk Management

Abstract

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.