大數據治理評量模型與層級關鍵要素之實證研究

資料治理係為數據時代組織管理的基礎，許多國際性機構都已從不同面向進行分析與探索。鑑於近年大數據技術的蓬勃發展，組織亟需面對資料治理相關議題，大數據治理的程序、結構及重要關鍵要素因而成為組織資訊管理的重要課題。然而，多數學者之研究僅聚焦於大數據治理概念探索、框架研提、因素識別、領域應用等議題，較缺乏以實證分析方法進行大數據治理模型與關鍵因素之探索。本研究針對大數據治理相關研究，蒐集多樣化的學術文獻，彙整影響大數據治理的重要構面及要素。透過專家學者之意見調查，以修正式德菲法建構一套組織大數據治理模型，同時以層級分析法來篩選及計算各項影響構面及因素之權重，以瞭解組織面對大數據管理下的關鍵治理流程及重點。研究發現評估構面的重要性依序為安全、政策、組織、品質、標準、詮釋資料及資料生命週期；而評估模型中最為關鍵的三項要素分別為「資料安全」、「機敏資料與隱私」、「風險控管和危機處理」。本研究所建構之治理模型及關鍵要素可做為各級機關在大數據導入之參考。

關鍵字

資料治理；大數據治理；修正式德菲法；層級分析法

並列摘要

Data governance is the foundation of organizational management in the data age, and many international institutions have analyzed and explored it from different aspects. To view of the vigorous development of big data technology in recent years, the organizations need to face the data governance-related issues; the procedure, structure and critical factors of big data governance have thus become an essential topic of organizational information management. However, most big data governance studies only focus on the concept exploration, framework suggestion, factor identification, and specified field application. To the best of our knowledge, they lack the study of big data governance models and key factors by using empirical analysis methods. For the related research on big data governance, this study collects a variety of academic literature, and summarizes the essential constructs and factors that affect big data governance. Through the opinion survey of experts and scholars, a big data governance model is constructed by using the modified Delphi technique as a framework to analyze in advanced. Then the method of Analytic Hierarchy Process is adopted to screen and calculate the weights of various impact constructs and factors, so as to understand the critical organizational governance processes and priorities under the big data management. This study found that the importance of evaluation constructs is security, policy, organization, quality, standards, metadata, and data life cycle; and the three most critical factors in the evaluation model are "data security", "data privacy", and "risk control, management and crisis handling". The governance model and key factors constructed in this study can be regard as a reference when agencies have intended to implement big data governance.

並列關鍵字

Data Governance ； Big Data Governance ； Modified Delphi Method ； Analytic Hierarchy Process

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