政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/151515

政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/151515

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题名:	政府資料治理的知與行：內部觀點評估架構之建構與驗證 An Assessment Framework of Government Data Governance from the Perspective of Internal Stakeholders
作者:	李洛維 Lee, Lo-Wei
贡献者:	朱斌妤 Chu, Pin-Yu 李洛維 Lee, Lo-Wei
关键词:	資料治理智慧政府資料生命週期資料治理成熟度資料治理評估架構 data governance smart government data lifecycle government data governance maturity model government data governance assessment framework
日期:	2024
上传时间:	2024-06-03 11:46:38 (UTC+8)
摘要:	在以智慧政府為施政主軸的今日，各國政府數位服務的觸角已延伸至政治、經濟、社會等多元面向，同時也對民眾造成更深遠的影響。在這些智慧科技背後，資料居於關鍵核心地位，藉由一套完整的資料治理策略、標準化作業程序以及評估架構，將可更有效協助政府機關提升智慧政府的成效，以在未來面對更多挑戰。政府推動資料治理成效的良窳，除應於資料層面了解資料治理的內涵之外，在組織層面應探究機關本身的立場與其他機關的互動，在個人層面則應分析公務同仁對資料治理的知覺與行為等因素。基此，本研究首先於資料層面，透過文獻回顧建構「政府機關資料生命週期導向之資料治理成熟度評估架構」，以幫助政府機關更深入分析其資料治理在應然面與實然面的落差，並兼採組織與個人的觀點，建構出「政府機關資料治理知覺與行為理論模型」；其次，本研究依據上述架構與模型，透過問卷調查法針對個人層面進行資料治理知覺與行為之量化資料蒐集，並透過偏最小平方法進行實證，試圖辨明影響內部利害關係人推動資料治理的關鍵因素；第三，本研究選定重要智慧政府個案，以深度訪談進行質化資料蒐集，從組織層面探究由於政府機關資料治理成熟度與業務屬性之落差所導致推展資料治理行動的差異，以及隨之而來所面臨的困難、挑戰與解決方案。基對我國內政部及所屬機關蒐集彙整而得之研究成果，本研究分別回應了資料、個人、組織三個層面的研究問題，並與前期相關研究做出對話，呈現出因時空背景變遷對我國政府資料治理所造成的變化。最後，本研究提出三點實務建議與未來研究方向，除補足當前之研究缺口，亦期望藉由探明政府內部資料治理知覺與行為等變數間的關聯性，以有助於智慧政府成效提升及公共價值之實現。 Smart government is currently the main focus of governance, with digital services of various governments touching upon multiple aspects such as politics, economy, and society, causing a profound impact on the public. Because data plays a crucial role, establishing a comprehensive data governance strategy, standard operating procedures, and evaluation framework can effectively help government agencies enhance the effectiveness of smart government, enabling them to face future challenges. The effectiveness of government data governance relies on understanding the essence of data governance at the data level, exploring the interaction with other agencies at the organizational level, and analyzing the factors of public servants' perception and behavior towards data governance at the individual level. Based on the above, firstly, this study constructs a “government data governance maturity model” through literature review at the data level, which helps government agencies to deeply analyze the gap between the normative and actual aspects of data governance. Additionally, this study also builds a “government data governance perception and behavior model” based on organizational and individual perspectives. Secondly, based on the aforementioned framework and model, this study employs a questionnaire survey method at the individual level to collect quantitative data on data governance perception and behavior. The partial least squares method is then utilized for validation, aiming to elucidate the key factors influencing internal stakeholders in promoting data governance. Thirdly, this study selects significant smart government cases and utilizes in-depth interviews at the organizational level for qualitative data collection, aims to explore the differences in data governance behaviors resulting from the gap between government agency data governance maturity level. Furthermore, this study investigates the difficulties, challenges, and potential solutions faced in this context. Based on the research outcomes, this study addresses research questions at the data, individual, and organizational levels. Also, this study engages in dialogue with prior relevant studies, illustrating the changes in government data governance in our country due to temporal and spatial background variations. Finally, this study presents three practical recommendations and future research directions to address current research gaps, aims to understand the relationship between variables such as government internal data governance perception and behavior, with the goal of enhancing the effectiveness of smart government and achieving public value.
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