Reconstruction of Lean Path in Governance System in Emergency Crisis

Long Yuan & Jun Zhang, Hunan University China

The governance system is a systemic issue that reflects the overall capabilities, preparations, and system flexibility of a country or organization in crisis response. The validity of governance in an emergency crisis (such as COVID-19 pandemic) depends on their own experience of governance participants, and it is necessary for the governors to effectively iterate its governance measures and achieve good governance effects. “Agile” focuses on the response speed of governance measures, while “lean” focuses on pertinence, effectiveness, and low-consumption. “Agile and Lean Governance” are flexible governance processes when the governors quickly respond, make decisions, implement, and effectively iterate.

This research aims at the current governance system in China in COVID-19 pandemic. We adopt giga-mapping and other system design methods, combined with qualitative research of front-line workers, deconstructs and understands the entire complex governance system. We find some reasons hindering the lean process of governance have caused problems of inefficient governance and low transparency. It is believed that this kind of organizational culture that needs to be iterated urgently needs a modern governance solution.  

This research attempts to design a set of agile and lean governance tools to deal with COVID-19 epidemic crisis. From the perspective of the governor, with the governance-audience centered, we bring in lean thinking and build a measure formulation and decision system and governance measures database by combining cloud services. On the one hand, it improves the experience of the governance tools, on the other hand, it realizes the semi-openness of the governance system in the form of mixed-cloud, and improves the flexibility and agility of the governance system. It is expected to promote the transformation of the existing governance system to a lean government to adapt to the system complexity and randomness in the crisis.

Posted: Oct-2020

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