A model to manage cooperative projects risks to create knowledge and drive sustainable business

Marco Nunes, António Abreu, Célia Saraiva

Research output: Contribution to journalArticlepeer-review

8 Citations (Scopus)
3 Downloads (Pure)


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 pro-vides to organizations, they are still often reluctant to engage in cooperative partnerships. The re-viewed 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 envi-ronments. 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 func-tioning principles of the MCPx model are illustrated with a case study.

Original languageEnglish
Article number5798
Issue number11
Publication statusPublished - 1 Jun 2021


  • Business intelligence
  • Cooperative networks
  • Knowledge creation
  • Project cooperative risks
  • Project management
  • Risk management
  • Social network analysis
  • Sustainable business


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