天津行政学院学报2026，Vol.28Issue(1)：29-40,12.DOI:10.16326/j.cnki.1008-7168.2026.01.003
以场景为牵引的政务大模型应用:范式转型、实践分野与能力生成
Scene-Driven Applications of Government Large Language Models:Paradigm Shift,Practical Differentiation and Capacity Formation
摘要
Abstract
With the accelerated embedding of generative artificial intelligence in the public sector,the application of government large language models(LLMs)is shifting from technological experi-mentation toward governance practice.The central issue has accordingly moved beyond technical feasibility to how intelligent capabilities can be institutionally absorbed and transformed into gov-ernance capacity.From a scenario-driven analytical perspective,the application of government LLMs can be typologically differentiated into several representative scenarios,including public serv-ice and hotline services,administrative procedures and one-stop government services,internal ad-ministrative operations,and urban governance and platform-based applications.These scenarios ex-hibit substantial variation in governance targets,modes of institutional embedding,and operational logic.Through scenario-based embedding,government LLMs primarily contribute to the gradual formation of governance capacity in areas such as information processing,administrative process op-eration,and the refinement of public service delivery and policy implementation,with their capacity effects displaying processual,structural,and cumulative characteristics.However,government LLMs should not be regarded as universally applicable governance tools.Scenario-driven application represents a governance-oriented pathway centered on institutional stability and endogenous capacity formation,the institutionalization of which depends on the clarification of scenario boundaries,the coordination of rules and procedures,and the sustained development of organizational learning mechanisms.关键词
政务大模型/场景牵引/数字政府/治理能力/范式转型Key words
government large language models/scenario-driven approach/digital government/gov-ernance capacity/paradigm shift分类
社会科学引用本文复制引用
董昌其..以场景为牵引的政务大模型应用:范式转型、实践分野与能力生成[J].天津行政学院学报,2026,28(1):29-40,12.基金项目
深圳市哲学社会科学规划课题"数智驱动的深圳市公共服务能力提升研究"(SZ2025B011) （SZ2025B011）
国家社会科学基金重大项目"因地制宜发展新质生产力的案例比较研究"(25&ZD091). （25&ZD091）
