• [口頭報告]Exploring the Determinants of Smart Government Service Capability at the Provincial Level: A Fuzzy-Set Qualitative Comparative Analysis
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    [口頭報告]Exploring the Determinants of Smart Government Service Capability at the Provincial Level: A Fuzzy-Set Qualitative Comparative Analysis

    Exploring the Determinants of Smart Government Service Capability at the Provincial Level: A Fuzzy-Set Qualitative Comparative Analysis
    編號:127 稿件編號:206 訪問權限:僅限參會人 更新:2024-04-08 10:05:34 瀏覽:130次 口頭報告

    報告開始:暫無開始時間 (Asia/Shanghai)

    報告時間:暫無持續時間

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    摘要
    In the digital era, enhancing the level of intelligentization of government administrative services has become a hot topic of concern for government departments. This paper utilizes the Technology-Organization-Environment (TOE) framework to conduct a qualitative comparative analysis of case studies from 31 provinces in China, exploring the influence and improvement pathways of technology, organization, and environmental conditions on the level of intelligentization of provincial government administrative services. The research findings indicate that a single condition does not constitute a necessary condition for high intelligence service capability in government; rather, technological, organizational, and environmental conditions interact in a "multiple and concurrent" manner, forming diverse configurations that influence the high intelligence service capability of provincial governments. Specifically, four types can be distinguished, technology-driven, environment-driven, organization-environment, and technology-environment. The conclusions of this study contribute to a deeper understanding of the rational recognition of the complex interactions among multiple factors behind the high intelligence service capability of provincial governments in China, and provide valuable practical insights for enhancing the transformation of government administrative intelligentization.
     
    關鍵字
    Digital government,Provincial governament,smart governance,Configuration analysis
    報告人
    萌瀟 丁
    中國礦業大學公共管理學院

    稿件作者
    萌瀟 丁 中國礦業大學公共管理學院
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