IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i8p4592-d792032.html
   My bibliography  Save this article

Creating Actionable and Insightful Knowledge Applying Graph-Centrality Metrics to Measure Project Collaborative Performance

Author

Listed:
  • Marco Nunes

    (Project Management Department at Tetra Pak, Wilhelm-Bergner-Straße 9c, 21509 Glinde, Germany)

  • Jelena Bagnjuk

    (Project Management Department, University Medical Center Eppendorf, Martinistraße 52, 20251 Hamburg, Germany)

  • António Abreu

    (Department of Mechanical Engineering, Polytechnic Institute of Lisbon, 1959-007 Lisbon, Portugal
    CTS Uninova, 2829-516 Caparica, Portugal)

  • Edgar Cardoso

    (Senior Data Analyst at Deutsche Bank, AG 1 Great Winchester Street, London EC2N 2DB, UK)

  • Joana Smith

    (Supply Chain Management Department at Borgwarner, 3000 University Drive, Auburn Hills, MI 48326, USA)

  • Célia Saraiva

    (Department of Informatic Engineering, UTAD-IST, Quinta de Prados, 5000-801 Vila Real, Portugal)

Abstract

Tools and techniques supported by math and statistics are often used by organizations to measure performance. These usually measure an employees’ traits and states performance. However, the third type of data usually neglected by organizations, known as relational data, can provide unique and actionable insights regarding the root causes of individual and collective performance. Relational data are best captured through the application of graph-based theory due to its ability to be easily understood and quantitatively measured, while mirroring how employees interact between them as they perform work-related tasks or activities. In this work, we propose a set of graph-based centrality metrics to measure relational data in projects by analyzing the five most voted relational dimensions ((1) communication, (2) internal and external collaboration, (3) know-how exchange and informal power, (4) team-set variability, and (5) teamwork performance), in a survey conducted to 700 international project stakeholders in eight business sectors. The aim of this research is to tackle two issues in projects: First, to understand in a quantitative way how the project’s relational data may correlate with project outputs and outcomes, and second, to create unique and actionable knowledge to help mitigate the increasing project failure rates. A case study illustrates the step-by-step application of the developed graph-based metrics as well as its benefits and limitations.

Suggested Citation

  • 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.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:8:p:4592-:d:792032
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/8/4592/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/14/8/4592/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. Marco Nunes & António Abreu, 2020. "Applying Social Network Analysis to Identify Project Critical Success Factors," Sustainability, MDPI, vol. 12(4), pages 1-32, February.
    4. 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.
    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. 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.

    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. 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.
    2. 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.
    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. 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.
    5. 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.
    6. Cricelli, Livio & Mauriello, Roberto & Strazzullo, Serena, 2023. "Preventing open innovation failures: A managerial framework," Technovation, Elsevier, vol. 127(C).
    7. 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.
    8. 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.
    9. 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.
    10. Belén Payán-Sánchez & Luis Jesús Belmonte-Ureña & José Antonio Plaza-Úbeda & Diego Vazquez-Brust & Natalia Yakovleva & Miguel Pérez-Valls, 2021. "Open Innovation for Sustainability or Not: Literature Reviews of Global Research Trends," Sustainability, MDPI, vol. 13(3), pages 1-29, January.
    11. Hong-Long Chen, 2021. "Impact of Communication on Capital Project Performance: A Mediated Moderation Model," Sustainability, MDPI, vol. 13(20), pages 1-19, October.
    12. 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.
    13. Katarina Buganova & Maria Luskova & Jozef Kubas & Michal Brutovsky & Jaroslav Slepecky, 2021. "Sustainability of Business through Project Risk Identification with Use of Expert Estimates," Sustainability, MDPI, vol. 13(11), pages 1-17, June.
    14. António Abreu, 2021. "Innovation Ecosystems: A Sustainability Perspective," Sustainability, MDPI, vol. 13(4), pages 1-3, February.
    15. Madanaguli, Arun & Dhir, Amandeep & Talwar, Shalini & Clauss, Thomas & Kraus, Sascha & Kaur, Puneet, 2023. "Diving into the uncertainties of open innovation: A systematic review of risks to uncover pertinent typologies and unexplored horizons," Technovation, Elsevier, vol. 119(C).
    16. Na Zhao & Congcong Lei & Hui Liu & Chunlin Wu, 2022. "Improving the Effectiveness of Organisational Collaborative Innovation in Megaprojects: An Agent-Based Modelling Approach," Sustainability, MDPI, vol. 14(15), pages 1-21, July.

    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:14:y:2022:i:8:p:4592-:d:792032. 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.