情报科学 ›› 2024, Vol. 42 ›› Issue (1): 115-121.

• 业务研究 • 上一篇    下一篇

自愿性企业数据向政府共享的影响路径研究
——基于模糊集定性比较分析

  

  • 出版日期:2024-01-05 发布日期:2024-06-03

  • Online:2024-01-05 Published:2024-06-03

摘要:

【目的/意义】探讨自愿性企业数据向政府共享意愿的影响因素及其组态路径,推动企业数据向政府共享。
【方法/过程】以网络交易监管领域中的“红盾云桥”为案例场景,以27个省、自治区为样本,构建“社会需求-市场环
境-政企关系-政府支持”四维框架。运用模糊集定性比较分析(fsQCA)方法对自愿性企业数据向政府共享意愿的
影响因素进行组态分析。【结果/结论】自愿性企业数据向政府共享受到政府、社会、市场主体的共同驱动;驱动自愿
性企业数据向政府共享共存在五条路径,市场环境和政府支持是核心条件;在市场环境较好、政府支持力度较强的
条件下,广泛的社会需求与良好的政企关系存在相互替代作用,都能够提升企业自愿向政府共享数据的意愿。【创
新/局限】构建了自愿性企业数据向政府共享影响因素的研究框架,并通过组态分析进行实证检验。研究局限在于
仅用特定的案例场景进行分析,理论框架的适用性有待更多案例场景的检验。

Abstract:

【Purpose/significance】 In order to explore the influencing factors and configuration paths of voluntary business-to
government data sharing (B2G data sharing) and to improve the data sharing.【Method/process】 Taking HongDunYunQiao in the field
of online transaction supervision as a case scenario and 27 provinces or autonomous regions as samples, this article constructs a four
dimensional framework including social needs, market environment, government-enterprise relations, government support. Use fuzzy
Set Qualitative Comparative Analysis (fsQCA) to conduct a configuration analysis of the influencing factors of voluntary B2G data shar⁃
ing.【Result/conclusion】 Voluntary B2G data sharing is driven by the joint of the government, society and market entities. There are
five paths to drive voluntary B2G data sharing, and market environment and government support are the core conditions. Under the
conditions of good market environment and strong government support, broad social needs and good government-enterprise relations
have a mutual substitution effect, either can increase the willingness of voluntary B2G data sharing.【Innovation/limitation】 A research
framework on the influencing factors of voluntary B2G data sharing was constructed and empirically tested through configuration analy⁃
sis. The limitation of this study is that only specific case scenario is used for analysis, and the applicability of the theoretical framework
needs to be tested by more case scenarios.