IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i7p3819-d527119.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/7/3819/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/13/7/3819/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    2. 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.
    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. da Silva, Filipa Pires & Mosquera, Pilar & Soares, Maria Eduarda, 2022. "Factors influencing knowledge sharing among IT geographically dispersed teams," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    2. Lakshmi Goyal, 2023. "Investments during institutional transitions: Driven by problems or opportunities?," Asia Pacific Journal of Management, Springer, vol. 40(4), pages 1733-1768, December.
    3. Budrytė Monika & Vainauskienė Vestina, 2023. "Virtual Communities of Practice as a Knowledge Sharing Tool: Recommendations for International Business," Management of Organizations: Systematic Research, Sciendo, vol. 89(1), pages 15-30, June.
    4. Davaei, Mahboobeh & Gunkel, Marjaana & Veglio, Valerio & Taras, Vas, 2022. "The influence of cultural intelligence and emotional intelligence on conflict occurrence and performance in global virtual teams," Journal of International Management, Elsevier, vol. 28(4).
    5. Anna Kacprzak & Marzena Kacprzak & Slawomir Jarka & Izabela Wielewska, 2022. "Building Trust in Virtual Project Teams During the Covid-19 Pandemic – The Viewpoint of Project Managers from Poland, France and Germany," European Research Studies Journal, European Research Studies Journal, vol. 0(3), pages 752-766.
    6. Janusz Rymaniak & Katarzyna Lis & Vida Davidavičienė & Manuela Pérez-Pérez & Ángel Martínez-Sánchez, 2021. "From Stationary to Remote: Employee Risks at Pandemic Migration of Workplaces," Sustainability, MDPI, vol. 13(13), pages 1-25, June.
    7. Yayla, Serdar & Kutlubay, Omer Cem & Cicek, Mesut & Yeniyurt, Sengun, 2023. "Once upon a time in a foreign market: The role of cultural distance in the economic performance of multilateral non-equity partnerships," International Business Review, Elsevier, vol. 32(4).
    8. Hao-Fan Chumg & Jia-Wen Shin & Hsiu-Yen Chiang & Man-ting Ho, 2022. "What Drives Working Habits for Sharing Knowledge in Virtual Teams? An Organizational Embeddedness Perspective," SAGE Open, , vol. 12(1), pages 21582440221, March.
    9. Kathryn Cormican & Chen Meng & Suzana Sampaio & Qiong Wu, 2021. "Towards Sustainable Knowledge Sharing Practices: An Analysis of Organizational Level Enablers," Sustainability, MDPI, vol. 13(23), pages 1-18, November.
    10. David Afandy & Agus Gunawan & Jol Stoffers & Yoke Pribadi Kornarius & Angela Caroline, 2022. "Improving Knowledge-Sharing Intentions: A Study in Indonesian Service Industries," Sustainability, MDPI, vol. 14(14), pages 1-11, July.
    11. Baltasar González-Anta & Virginia Orengo & Ana Zornoza & Vicente Peñarroja & Nuria Gamero, 2021. "Sustainable Virtual Teams: Promoting Well-Being through Affect Management Training and Openness to Experience Configurations," Sustainability, MDPI, vol. 13(6), pages 1-22, March.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:13:y:2021:i:7:p:3819-:d:527119. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.