公共管理学报

随着数智技术在政务服务领域的深度嵌入，新兴风险随之伴生并日益凸显。在确保服务可及性与稳定性的前提下有效防范并化解风险已成为当前的紧迫议题。本文运用J区数智驱动营商环境优化改革案例，按照“智能情境细化-风险认知预见-组织行动机制”的解释逻辑展开深度探索。研究发现，在不同智能政务技术吸纳场景中，地方官员对新兴风险展现出较强的前瞻感知能力，并从技术风险中推演行政风险。为系统性消解上述风险，政府围绕资源编排、结构调整与制度完善三个维度展开行动，其核心机制依次表现为技术中枢承载夯实稳健性、政企责任分散彰显冗余性、人机价值共创催生学习性。据此，本文构建了“双元互馈韧性”能力生成的理论框架，将韧性内涵分别嵌入干部认知层面的“预期韧性”与组织行动层面的“演进韧性”之中，以呈现政府风险治理的完整图景。研究不仅丰富了行政组织数智风险治理的理论谱系，亦为政务服务技术吸纳与效能提升提供了可参考的学理支撑。

As digital-intelligent technologies become deeply embedded in government service delivery， emergent risks have grown increasingly salient. How to effectively prevent and mitigate such risks while preserving service accessibility and stability has emerged as a pressing concern in the field of risk governance. Drawing on the case of District J’s digital-intelligence-driven reform of the business environment， this study employs an explanatory framework of intelligent context specification - risk cognition and anticipation-organizational action mechanisms to conduct an in-depth investigation. The findings reveal that， in the course of technology-driven government service adoption， local officials demonstrate a pronounced capacity for prospective risk perception， deriving administrative risks from underlying technological risks. To systematically dissolve these risks， local governments undertook action across three dimensions “resource orchestration， structural adjustment， and institutional refinement” with the core mechanisms manifesting as: technological hub capacity consolidating robustness， government-enterprise responsibility diffusion embodying redundancy， and human-machine value co-creation generating institutional learning. On this basis， the study constructs a theoretical framework of dual-element reciprocal resilience for administrative organizations， embedding resilience into two complementary planes: anticipatory resilience at the level of officials’ cognitive capacity， and evolutionary resilience at the level of organizational action， so as to capture the full picture of governmental risk response. The findings not only enrich the theoretical spectrum of digital-intelligent risk governance in government， but also provide operationally grounded scholarly support for the sustained adoption and advancement of technology in government service delivery.Article Type: Research paper