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Modelling principal-agent dilemma for management of resilience in interdependent infrastructure systems

Author

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  • Izaddoost, Ali
  • Naderpajouh, Nader
  • Heravi, Gholamreza

Abstract

Temporal dilemmas are observed between the short-term incentives of the asset managers, as agents, versus the long-term resilience driven goals of the organisations, who own and operate the infrastructure systems as principals. That is, the incentive mechanisms designed based on the short-term tenure of an asset manager may structurally deprive the infrastructure owner/operator organisations from directing resources towards their long-term resilience driven goals. Lack of long-term incentives by asset managers adds another layer to managment of resilience in the context of infrastructure systems in their life cycle. We proposed a framework for integrating resilience into asset management of infrastructure systems and modelled it to explore the impact of such temporal dilemmas in principal-agent relations and potential strategic responses. The model reflects the interdependency of the sub-systems of infrastructures to assess each sub-system's periodic coupled resilience. The proposed integrated simulation reflects coupled impacts of shocks and stressors within regular asset management regimes. The simulation results provide quantitative evidence of how managerial and political dimensions can impact management of resilience in the context of infrastructure systems and open another discourse towards considering the complexities of organising for resilience in socio-technical systems.

Suggested Citation

  • Izaddoost, Ali & Naderpajouh, Nader & Heravi, Gholamreza, 2023. "Modelling principal-agent dilemma for management of resilience in interdependent infrastructure systems," Reliability Engineering and System Safety, Elsevier, vol. 238(C).
  • Handle: RePEc:eee:reensy:v:238:y:2023:i:c:s0951832023003381
    DOI: 10.1016/j.ress.2023.109424
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    Cited by:

    1. Zhou, Xinxin & Huang, Yun & Bai, Guanghan & Xu, Bei & Tao, Junyong, 2024. "The resilience evaluation of unmanned autonomous swarm with informed agents under partial failure," Reliability Engineering and System Safety, Elsevier, vol. 244(C).

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