成果推介‖张少鹏等:Can Cross-sector Collaboration Contribute to Boundaries Reshaping of Digital Government Platforms? Empirical Evidence Based on Machine Learning and Text Analysis,2025
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发布人: 发布时间:2025-04-22 浏览次数:
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作者:张少鹏,Yinhao Yang,Huanhui Gan
题名:Can Cross-sector Collaboration Contribute to Boundaries Reshaping of Digital Government Platforms? Empirical Evidence Based on Machine Learning and Text Analysis
期刊:Pubic Administration(SSCI,JCR-Q1,ABS 4星,学院标志性期刊;公共管理学顶级期刊)
摘要: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 the 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 cross-sector collaboration based on the lead task system in digital government platforms.
作者简介:

张少鹏,男,东北林业大学副教授,硕士生导师,成栋优秀青年学者,中国知网高被引学者TOP 1%,哈尔滨工业大学管理学博士。现任教于东北林业大学经济管理学院农林经济管理学科、林业经济管理专业。主要研究方向为林业经济理论与政策、环境经济与公共政策、创新管理。在国内外SSCI/SCI/CSSCI/CSCD检索期刊发表高水平学术论文30余篇,其中,ABS 2星及以上5篇(ABS 4星1篇),中科院一区3篇,国家自然科学基金委管理学部重要期刊3篇,林业经济领域权威期刊2篇,并有1篇入选ESI高被引论文。担任《林草政策研究》等杂志青年编委;中国科学学与科技政策研究会数字创新管理专业委员会会员;多个SSCI/SCI/CSSCI/CSCD期刊以及国际会议的匿名审稿人。主持多项省部级及校级科研项目,核心参与多项国家级基金。