摘要
人工智能和大数据技术正在重新塑造社会治理的态势。在“数智时代”背景下,政府正在调试监管手段和监管策略,以应对掌握了海量数据的智能化数字平台。以A市网约车监管数字化变革为例,将政府为了应对数字平台的技术优势而做出监管变革的逻辑概括为对等监管,即监管对象的技术数据优势所形成的外部压力,敦促监管主体以组织学习的方式补足,并配合组织文化、组织结构建设以丰富数字治理生态的结构弹性和创新度。本文将适应性治理理论用于解释数字化场域中的政府变革,拓展了以“体制不变机制创新”和政策试点式组织学习等固有的解释路径,为政府数字化转型实践提供更多元的理论阐释视角。
Artificial intelligence and big data technologies are reshaping the dynamics of social governance.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"institutional invariant mechanism innovation"and pilot policy-based organizational learning to provide a more diverse theoretical interpretation perspective for government digital transformation practices.
作者
魏巍
潘婷
WEI Wei;PAN Ting
出处
《信息技术与管理应用》
2024年第2期109-120,共12页
Information Technology and Management Application
基金
国家社会科学基金一般项目““互联网+监管”对营商环境的影响研究”(23BZZ039)。
关键词
对等监管
适应性治理
网约车
案例研究
Peer-to-Peer Regulation
Adaptive Governance
Online Car-Hailing
Case Study
