Industrial projects can be viewed as complex sociotechnical systems(e.g.,human agents interacting with technology)where cause-and-effect relationships do not necessarily occur in time-and-space proximity.For this work...Industrial projects can be viewed as complex sociotechnical systems(e.g.,human agents interacting with technology)where cause-and-effect relationships do not necessarily occur in time-and-space proximity.For this work,metanetwork(e.g.,a network of networks)analysis was applied to emergent behavior-centric intangible risks(BCIRs)in a portfolio of projects in the energy sector.A user-friendly framework is proposed to identify and quantitatively assess BCIRs,along with the conditions that initiate them throughout the project development cycle.The underlying hypothesis is a structured approach to identifying,assessing,and proactively addressing BCIRs that have the potential to improve a project team’s ability to meet its objectives.While we build upon Rasmussen’s dynamic safety model and address the need for a framework to assess causal factors that influence behaviors in the context of an energy-sector project,we do this with a view to a future where technology(e.g.,artificial intelligence(AI),automation,robotics,etc.)will play an ever-increasing role.The proposed framework is presented as tested in a live project portfolio setting where organizational modifications were identified,simulated,and implemented.One particular dimension of the analysis,the issue of authority without responsibility,is also discussed.The results of this empirical assessment were further validated by an industry panel of subject-matter experts(SMEs).展开更多
文摘Industrial projects can be viewed as complex sociotechnical systems(e.g.,human agents interacting with technology)where cause-and-effect relationships do not necessarily occur in time-and-space proximity.For this work,metanetwork(e.g.,a network of networks)analysis was applied to emergent behavior-centric intangible risks(BCIRs)in a portfolio of projects in the energy sector.A user-friendly framework is proposed to identify and quantitatively assess BCIRs,along with the conditions that initiate them throughout the project development cycle.The underlying hypothesis is a structured approach to identifying,assessing,and proactively addressing BCIRs that have the potential to improve a project team’s ability to meet its objectives.While we build upon Rasmussen’s dynamic safety model and address the need for a framework to assess causal factors that influence behaviors in the context of an energy-sector project,we do this with a view to a future where technology(e.g.,artificial intelligence(AI),automation,robotics,etc.)will play an ever-increasing role.The proposed framework is presented as tested in a live project portfolio setting where organizational modifications were identified,simulated,and implemented.One particular dimension of the analysis,the issue of authority without responsibility,is also discussed.The results of this empirical assessment were further validated by an industry panel of subject-matter experts(SMEs).
