政府(语言学)
数字政府
计算机科学
经验证据
数据科学
知识管理
万维网
业务
自然语言处理
人工智能
语言学
认识论
数字化转型
哲学
作者
Shaopeng Zhang,Yinhao Yang,Huanhui Gan
摘要
ABSTRACT Cross‐sector collaboration is regarded as an effective institution for the fragmentation of government organizations, but it is still unknown which organizational form can effectively promote the holistic governance of digital government platforms. We construct an attention‐based behavioral model according to behavior theory and then explore the impact and mechanism of cross‐sector collaboration on the holistic governance of digital government platforms. We show that cross‐sector collaboration has a negative effect on digital government platform governance. Mechanism analysis results show that cross‐sector collaboration based on the lead task system can enhance digital government platform governance through two pathways: the performance‐driven path of cross‐sector collaboration and the vertical intervention path steered by the leader's attention allocation. This study contributes both theoretical and empirical evidence to enhance the understanding of the micro‐operational mechanisms of cross‐sector collaboration based on the lead task system in digital government platforms.
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