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Reconstruction of lean path in governance system in emergency crisis

Yuan, Long and Zhang, Jun (2020) Reconstruction of lean path in governance system in emergency crisis. In: Proceedings of Relating Systems Thinking and Design (RSD9) 2020 Symposium., 9-17 Oct 2020, Ahmedabad, India.

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Abstract

In the context of public emergency crisis, how to quickly improve the efficiency of problem- solving with minimal system cost has become an increasingly important governance system
issue. This paper is a system design research project for the novel coronavirus outbreak in
2020, focusing on how to find problem entry points and propose effective design solutions for
rapid response to public emergency crisis events from an interdisciplinary perspective of
design and management disciplines. This paper presents that applying Lean & Agile thinking to
the rapid iteration and testing of practical knowledge can improve the quality of decisions and
save more resources. This study attempts to combine Lean and Agile thinking to propose a
series of systematic principles that help grassroots organisations to produce systematic
principles of governance knowledge and iteration rapidly and the Lean & Agile Governing
System framework. And the system mechanisms are further clarified through problem-specific
prototyping solutions by providing reference solutions that can be applied. The study uses a
non-standardised Gigamapping analysis and visualisation method to sort out and analyse the
elements and relationships in the system, trying to propose some system problems based on
the whole governance cycle, and then construct a new system model. At present, this study
still lacks enough validation, but it is expected to provide a constructive idea and basis for the
modernisation and systematisation of governance tools design to deal with public emergency
crisis.

Item Type: Conference/Workshop Item (Paper)
Divisions: Faculty of Design
Date Deposited: 09 May 2022 18:22
Last Modified: 09 May 2022 18:30
URI: http://openresearch.ocadu.ca/id/eprint/3679

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