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

Author

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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)

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.

Suggested Citation

  • Iulia Dumitrașcu-Băldău & Dănuț-Dumitru Dumitrașcu & Gabriela Dobrotă, 2021. "Predictive Model for the Factors Influencing International Project Success: A Data Mining Approach," Sustainability, MDPI, vol. 13(7), pages 1-18, March.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:7:p:3819-:d:527119
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    References listed on IDEAS

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    1. Somnath Lahiri & Karthik Dhandapani, 2021. "Project performance in emerging market: The influence of cultural distance and business group affiliation," Asia Pacific Journal of Management, Springer, vol. 38(1), pages 179-207, March.
    2. Vida Davidavičienė & Khaled Al Majzoub & Ieva Meidute-Kavaliauskiene, 2020. "Factors Affecting Knowledge Sharing in Virtual Teams," Sustainability, MDPI, vol. 12(17), pages 1-16, August.
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    Cited by:

    1. Xingwei Li & Jinrong He & Yicheng Huang & Jingru Li & Xiang Liu & Jiachi Dai, 2022. "Predicting the factors influencing construction enterprises’ adoption of green development behaviors using artificial neural network," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-12, December.
    2. Gisele Blak Bernat & Eduardo Linhares Qualharini & Marcela Souto Castro, 2023. "Enhancing Sustainability in Project Management: The Role of Stakeholder Engagement and Knowledge Management in Virtual Team Environments," Sustainability, MDPI, vol. 15(6), pages 1-26, March.
    3. Gisele Blak Bernat & Eduardo Linhares Qualharini & Marcela Souto Castro & André Baptista Barcaui & Raquel Reis Soares, 2023. "Sustainability in Project Management and Project Success with Virtual Teams: A Quantitative Analysis Considering Stakeholder Engagement and Knowledge Management," Sustainability, MDPI, vol. 15(12), pages 1-38, June.

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