文章基本信息

标题：Predictive Model for the Factors Influencing International Project Success: A Data Mining Approach
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作者：Iulia Dumitrașcu-Băldău ; Dănuț-Dumitru Dumitrașcu ; Gabriela Dobrotă 等
期刊名称：Sustainability
印刷版ISSN：2071-1050
出版年度：2021
卷号：13
期号：7
页码：3819
DOI：10.3390/su13073819
语种：English
出版社：MDPI, Open Access Journal
摘要：Considering that international projects with teams in the virtual environment (IPTVEs) contribute to the reduction in the carbon footprint and, at the same time, become life-saving solutions in extreme global situations, such as the COVID-19 pandemic, organizations familiar with this type of project will have a substantial advantage in their ability to operate efficiently and to achieve their sustainable goals. An important aspect of project management is to identify the factors that influence the success of an international project, increasing its performance. Our first research hypothesis was that the decision to create a project team in the virtual environment is a factor with a major influence on international project success. Data collection was performed through an online survey conducted within international project team members and managers. The success factors were explained through factorial analysis which revealed two main factors and the neural network algorithm on a dataset through IBM SPSS Modeler software. The predictive model revealed that the most important field is setting up a virtual team, followed by organizational culture. These results support our hypothesis.
关键词：international project management; success factors; virtual project team; neural network; data mining; sustainable development