Predictive Model for the Factors Influencing International Project Success: A Data Mining Approach

Iulia Dumitrașcu-Băldău, Dănuț-Dumitru Dumitrașcu and Gabriela Dobrotă
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Iulia Dumitrașcu-Băldău: Business Administration Department, “Dunarea de Jos” University of Galati, 800008 Galati, Romania
Dănuț-Dumitru Dumitrașcu: Industrial Engineering and Management Department, “Lucian Blaga” University of Sibiu, 550024 Sibiu, Romania
Gabriela Dobrotă: Finance and Accounting Department, “Constantin Brancusi” University of Targu Jiu, 210152 Targu Jiu, Romania

Sustainability, 2021, vol. 13, issue 7, 1-18

Abstract: 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.

Keywords: international project management; success factors; virtual project team; neural network; data mining; sustainable development (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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