摘要
近年来,数字平台已成为政府提高治理效能的重要手段,如何提升政府数字平台的治理绩效是学术界和实务界共同关注的热点问题。基于技术、组织与环境(TOE)的框架,本文以35个典型政府数字平台为案例进行模糊集定性比较分析,探讨政府数字平台治理绩效的影响因素和条件组态。研究发现,政府数字平台的治理绩效受到多重因素影响,其中数据共享是政府数字平台发挥高治理效能的必要条件,低技术管理能力和低行政压力很可能造成低治理绩效。探究组态后发现,政府数字平台生成高治理绩效存在技术主导型、需求主导型和任务主导型三条路径。不同类型的政府数字平台治理偏好不同,法治类数字平台需要在确保公平正义的前提下,厘清业务条线,着力提高技术管理能力,而社会生活类数字平台多为需求主导型,需要切实解决民情诉求,这些都为不同情景下的政府数字平台提高治理绩效提供理论依据和实践启示。
In recent years,digital platforms become an important method to improve the governance efficiency.How to improve the governance efficiency of digital platforms is a focus issue of the government and academic circles.Based on TOE framework,this thesis attempt to apply the fuzzy-set qualitative comparative analysis into 35 typical digital platform cases,in order to explore the influencing factors and conditional configuration of digital platform performance.Previous research indicates that the digital platform performance is influenced by various factors.Data sharing is a necessary condition for the digital platform.Low technical management capacity and low administrative pressure can cause the low performance.Three paths could be utilized to achieve high performance of digital platform,namely,technology-oriented path,demand-oriented path and task-oriented path.Furthermore,different types of digital platforms have different governance preferences,the juridical digital platform needs to improve technical management capabilities on the premise of ensuring fairness and justice,whereas social digital platforms need to satisfy the demands of public sentiments.This research provides the theoretical bases and practical inspirations for digital platforms to improve the governance efficiency in different scenarios.
作者
汪世超
WANG Shi-chao(School of Event and Communication,Shanghai University of International Business and Economics,Shanghai 201620,China)
出处
《上海对外经贸大学学报》
CSSCI
北大核心
2023年第6期93-106,共14页
Journal of Shanghai University of International Business and Economics
关键词
政府数字平台
治理绩效
模糊集定性比较
TOE框架
government digital platform
governance efficiency of digital platforms
fsQCA
TOE framework