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Applying Social Network Analysis to Identify Project Critical Success Factors

Author

Listed:
  • Marco Nunes

    (Industrial Engineering Department, University of Beira Interior, 6201-001 Covilhã, Portugal)

  • António Abreu

    (Mechanical Engineering Department, Polytechnic Institute of Lisbon and CTS Uninova, 1959-007 Lisbon, Portugal)

Abstract

A key challenge in project management is to understand to which extent the dynamic interactions between the different project people—through formal and informal networks of collaboration that temporarily emerge across a project´s lifecycle—throughout all the phases of a project lifecycle, influence a project’s outcome. This challenge has been a growing concern to organizations that deliver projects, due their huge impact in economic, environmental, and social sustainability. In this work, a heuristic two-part model, supported with three scientific fields—project management, risk management, and social network analysis—is proposed, to uncover and measure the extent to which the dynamic interactions of project people—as they work through networks of collaboration—across all the phases of a project lifecycle, influence a project‘s outcome, by first identifying critical success factors regarding five general project collaboration types ((1) communication and insight, (2) internal and cross collaboration, (3) know-how and power sharing, (4) clustering, and (5) teamwork efficiency) by analyzing delivered projects, and second, using those identified critical success factors to provide guidance in upcoming projects regarding the five project collaboration types.

Suggested Citation

  • Marco Nunes & António Abreu, 2020. "Applying Social Network Analysis to Identify Project Critical Success Factors," Sustainability, MDPI, vol. 12(4), pages 1-32, February.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:4:p:1503-:d:321880
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    References listed on IDEAS

    as
    1. Lee, Kyootai & Woo, Han-Gyun & Joshi, Kailash, 2017. "Pro-innovation culture, ambidexterity and new product development performance: Polynomial regression and response surface analysis," European Management Journal, Elsevier, vol. 35(2), pages 249-260.
    2. Faulkner, William N. & Nkwake, Apollo M., 2017. "The potential of Social Network Analysis as a tool for monitoring and evaluation of capacity building interventions," Journal of Gender, Agriculture and Food Security (Agri-Gender), Africa Centre for Gender, Social Research and Impact Assessment, vol. 2(1), April.
    3. Slobodan Kacanski & Dean Lusher, 2017. "The Application of Social Network Analysis to Accounting and Auditing," International Journal of Academic Research in Accounting, Finance and Management Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Accounting, Finance and Management Sciences, vol. 7(3), pages 182-197, July.
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    Citations

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    Cited by:

    1. Luis A. Salazar & Paz Arroyo & Luis F. Alarcón, 2020. "Key Indicators for Linguistic Action Perspective in the Last Planner ® System," Sustainability, MDPI, vol. 12(20), pages 1-29, October.
    2. Marco Nunes & Jelena Bagnjuk & António Abreu & Edgar Cardoso & Joana Smith & Célia Saraiva, 2022. "Creating Actionable and Insightful Knowledge Applying Graph-Centrality Metrics to Measure Project Collaborative Performance," Sustainability, MDPI, vol. 14(8), pages 1-25, April.
    3. Marco Nunes & Jelena Bagnjuk & António Abreu & Célia Saraiva & Edgar Nunes & Helena Viana, 2022. "Achieving Competitive Sustainable Advantages (CSAs) by Applying a Heuristic-Collaborative Risk Model," Sustainability, MDPI, vol. 14(6), pages 1-24, March.
    4. Hong-Long Chen, 2021. "Impact of Communication on Capital Project Performance: A Mediated Moderation Model," Sustainability, MDPI, vol. 13(20), pages 1-19, October.
    5. Marco Nunes & Jelena Bagnjuk & António Abreu & Edgar Cardoso & Joane Smith & Célia Saraiva, 2023. "Managing Collaborative Risks of Integrated Open-Innovation and Hybrid Stage-Gate Model by Applying Social Network Analysis—A Case Study," Sustainability, MDPI, vol. 15(6), pages 1-33, March.
    6. Marco Nunes & António Abreu & Célia Saraiva, 2021. "A Model to Manage Cooperative Project Risks to Create Knowledge and Drive Sustainable Business," Sustainability, MDPI, vol. 13(11), pages 1-28, May.
    7. Marco Nunes & António Abreu & Célia Saraiva, 2021. "Identifying Project Corporate Behavioral Risks to Support Long-Term Sustainable Cooperative Partnerships," Sustainability, MDPI, vol. 13(11), pages 1-27, June.
    8. Marco Nunes & António Abreu, 2020. "Managing Open Innovation Project Risks Based on a Social Network Analysis Perspective," Sustainability, MDPI, vol. 12(8), pages 1-31, April.
    9. Marco Nunes & António Abreu & Jelena Bagnjuk & Edgar Nunes & Célia Saraiva, 2022. "A Strategic Process to Manage Collaborative Risks in Supply Chain Networks (SCN) to Improve Resilience and Sustainability," Sustainability, MDPI, vol. 14(9), pages 1-33, April.
    10. Qi Rong & Liangfeng Shen, 2022. "Study on the Ecological Operation Model of Settlements Based on Social Network Analysis: Stakeholder Perspective," Sustainability, MDPI, vol. 14(21), pages 1-17, October.
    11. Alessio Paolucci & Sergio Sangiorgi & Marco Giovanni Mariani, 2021. "Non-Technical Skills in Social Networks: The Spread of Safety Communication and Teamwork in a Warehouse," IJERPH, MDPI, vol. 18(2), pages 1-13, January.

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