The Development and Challenges of Digital Government in the Intelligent Era

Abstract

With the advent of the intelligent era, there is a need to leverage the empowering effects of data and construct a digital government governance system. Currently, driven by a reform mindset, innovative concepts, robust resource integration and implementation capabilities, as well as complementary technological advancements and innovative practices, the digital government exhibits governance characteristics of infrastructure cloudification, full-touchpoint digitization, online business processes, and data-driven operations. Its transformation logic reflects the interactive philosophy of flat communication, collaborative sharing of government data, optimization of precise service delivery, and the effective output of scientific decision-making. Despite its powerful governance effectiveness, digital government governance still faces challenges such as slow response to departmental needs, data silos, poor service collaboration, and weak business consistency. A comprehensive deepening of government digital transformation in the future requires innovative concepts, transitioning from information dissemination to intelligent applications, data innovation transitioning from data silos to data circulation and sharing, service innovation transitioning from function-driven to demand-driven by society, and decision-making innovation transitioning from unilateral decisions to collaborative, participatory, and shared decision-making. This will ultimately enhance the governance effectiveness of digital government.