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A Model to Manage Cooperative Project Risks to Create Knowledge and Drive Sustainable Business

Author

Listed:
  • Marco Nunes

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

  • António Abreu

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

  • Célia Saraiva

    (Department of Science and Technology, Universidade de Trás-os-Montes e Alto Douro, Quinta de Prados, 5000-801 Vila Real, Portugal)

Abstract

Efficient cooperation between organizations across all the phases of a project lifecycle is a critical factor to increase the chances of project success and drive sustainable business. However, and according to research, despite the large benefits that efficient organizational cooperation provides to organizations, they are still often reluctant to engage in cooperative partnerships. The reviewed literature argues that the major reason for such a trend is due to the lack of efficient and actionable supportive models to manage organizational cooperative risks. In this work we propose a model to efficiently support the management of organizational cooperative risks in project environments. The model, MCPx (management of cooperative projects), was developed based on four critical scientific pillars, (1) project risk management, (2) cooperative networks, (3) social network analysis, and (4) business intelligence architecture, and will analyze in a quantitative way how project cooperative behaviors evolve across a bounded time period, and to which extent they can turn into a cooperative project risk (essentially potential threats). For this matter, the MCPx model will quantitatively analyze five key project cooperative behavioral dimensions, (1) communication, (2) information sharing, (3) trust, (4) problem solving and (5) decision making, which show how dynamic interactions between project stakeholders evolve across time. The implementation and functioning principles of the MCPx model are illustrated with a case study.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:11:p:5798-:d:559538
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    References listed on IDEAS

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    1. William Villegas-Ch & Xavier Palacios-Pacheco & Sergio Luján-Mora, 2020. "A Business Intelligence Framework for Analyzing Educational Data," Sustainability, MDPI, vol. 12(14), pages 1-21, July.
    2. 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.
    3. Goran D. Putnik & Leonilde Varela & Vladimír Modrák, 2018. "Intelligent Collaborative Decision-Making Models, Methods, and Tools," Mathematical Problems in Engineering, Hindawi, vol. 2018, pages 1-2, July.
    4. Marco Nunes & António Abreu, 2020. "Applying Social Network Analysis to Identify Project Critical Success Factors," Sustainability, MDPI, vol. 12(4), pages 1-32, February.
    5. 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.
    6. Kostas Karantininis, 2007. "The Network Form of the Cooperative Organization," Springer Books, in: Vertical Markets and Cooperative Hierarchies, chapter 0, pages 19-34, Springer.
    7. Kostas Karantininis & Jerker Nilsson, 2007. "Vertical Markets and Cooperative Hierarchies," Springer Books, Springer, number 978-1-4020-5543-0, July.
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    Cited by:

    1. Michael Graham Parkes & Rebekah O’Rourke & Tiago Domingos & Ricardo F. M. Teixeira, 2023. "An Experimental Portuguese Social-Enterprise Project in Urban Agriculture: A Case Study on the Influence of the Interaction of Stakeholder Roles on Sustainable Governance," Sustainability, MDPI, vol. 15(4), pages 1-19, February.
    2. Andrea Senova & Alica Tobisova & Robert Rozenberg, 2023. "New Approaches to Project Risk Assessment Utilizing the Monte Carlo Method," Sustainability, MDPI, vol. 15(2), pages 1-19, January.
    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. "Identifying Project Corporate Behavioral Risks to Support Long-Term Sustainable Cooperative Partnerships," Sustainability, MDPI, vol. 13(11), pages 1-27, June.
    5. 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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