Artificial intelligence and big data technologies are reshaping the dynamics of social govern-ance.In the context of the"Digital Intelligence Era",the government is adapting its regulatory tools and strategies to cope with intelligent digital platforms that possess massive amounts of data.Taking the digital change of online car-hailing regulation in city A as an example,the logic of the government's regulatory change in response to the technological superiority of digital platforms is summarized as reciprocal regulation,in which the external pressure created by the technological data superiority of regulatory targets urges to be complemented by organizational learning,and the organizational culture and structure are built to enrich the structural flexibility and innovation of the digital governance ecology.This paper applies adaptive governance theory to explain government change in the digital era,expanding the inherent explanatory paths of"institu-tional invariant mechanism innovation"and pilot policy-based organizational learning to provide a more di-verse theoretical interpretation perspective for government digital transformation practices.
Peer-to-Peer RegulationAdaptive GovernanceOnline Car-HailingCase Study
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