Method for promoting ICT engineering safety learning from crisis management


  • Takafumi Nakamura
  • Kyoichi Kijima


Risk management, Crisis management, Normal accident theory (NAT), High Reliability Organization (HRO), Information and Communication Technology (ICT)


In this paper, a method is proposed for promoting ICT engineering safety learning from crisis management. The current majority of methodologies for ICT target ICT reliability. However, safety is the upper layer of reliability in terms of a system hierarchy. Therefore, we need more holistic methodologies to realize system safety, and system safety should include human factors. In particular, ICT engineering arena human factors play a crucial role in promoting ICT system safety. The Tokyo stock exchange was crushed on 1st of November 2005 by an operation error, which had a severe impact on the global . The human factors (operator error, maintenance engineers' error, etc.) cause severe impact to not only ICT systems but also social systems (nuclear plant systems, transportation systems, etc.). A JR West train derailed and overturned on 25th April 2005 due to driver misconduct caused the loss of 106 passengers' lives at Kyoto in Japan. The progress of ICT technologies (i.e., cloud, virtual and network technology) inevitably shifts ICT systems into complexity with tightly interacting domains. This trend places the human factors above other elements to promote safety more than ever. The emergent property interacting between ICT and human conduct should be dealt with in order to promote system safety. Crisis management treats holistic property over partial component. We introduce a risk management framework to promote a holistic view to manage system failures. An application example of ICT human error exhibits the effectiveness of this methodology. 



How to Cite

Nakamura, T., & Kijima, K. (2014). Method for promoting ICT engineering safety learning from crisis management. Proceedings of the 57th Annual Meeting of the ISSS - 2013 HaiPhong, Vietnam, 1(1). Retrieved from



Translational Systems Science