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Achieving Competitive Sustainable Advantages (CSAs) by Applying a Heuristic-Collaborative Risk Model

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)

  • Célia Saraiva

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

  • Edgar Nunes

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

  • Helena Viana

    (Commodity & Services Buyer—Supply Chain at Borgwarner, 4925-432 Lanheses, Portugal)

Abstract

Increasing disruption and turmoil continuously challenges organizations regarding the achievement of short- and long-term objectives. Such a hostile environment results from both the natural evolution of the business landscape complexity and the emergence of unpredictable disruptive evets such as the COVID-19 pandemic. More than ever, organizations should continuously develop business strategies that help them to become more agile, adaptative, sustainable, and effectively respond to the countless business risks (threats and opportunities). Innovation, such as the development and implementation of new technology, new ways of thinking and executing work, are just some of the major factors that can help organizations to increase their likelihood of success. In this work, is proposed the incorporation of a heuristic risk model into a typical organizational business intelligence architecture, to identify collaborative critical success factors across the different phases of a project life cycle which can be used to guide, monitor, and increase the success outcome likelihood of ongoing and upcoming projects. Some benefits of the incorporation include: a higher speed regarding the collection and treatment process of project collaborative data, the output of more accurate results with residual bias associated, a timely and efficient 360° view regarding the identification of project collaborative risks, and the impact (positive or/and negative) of these on a project’s outputs and outcomes. Finally, the model capabilities of performing descriptive, predictive, and prescriptive analysis, enables the generation of unique and actionable project’s lessons learned which can be used to make more data-informed decisions, and thus enhances the achievement of sustainable competitive advantages. The development and implementation of the proposed incorporation is illustrated with a with a real case study.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:6:p:3234-:d:767780
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    References listed on IDEAS

    as
    1. 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.
    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. Bin Xue & Bingsheng Liu & Ting Sun, 2018. "What Matters in Achieving Infrastructure Sustainability through Project Management Practices: A Preliminary Study of Critical Factors," Sustainability, MDPI, vol. 10(12), pages 1-20, November.
    4. 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.
    5. 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.
    6. Marco Nunes & António Abreu, 2020. "Applying Social Network Analysis to Identify Project Critical Success Factors," Sustainability, MDPI, vol. 12(4), pages 1-32, February.
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    Cited by:

    1. 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.
    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 & 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.

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