Data literacy for improving governmental performance: A competence-based approach and multidimensional operationalization

Guido Ongena
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引用次数: 6

Abstract

Big data analytics received much attention in the last decade and is viewed as one of the next most important strategic resources for organizations. Yet, the role of employees' data literacy seems to be neglected in current literature. The aim of this study is twofold: (1) it develops data literacy as an organization competency by identifying its dimensions and measurement, and (2) it examines the relationship between data literacy and governmental performance (internal and external). Using data from a survey of 120 Dutch governmental agencies, the proposed model was tested using PLS-SEM. The results empirically support the suggested theoretical framework and corresponding measurement instrument. The results partially support the relationship of data literacy with performance as a significant effect of data literacy on internal performance. However, counter-intuitively, this significant effect is not found in relation to external performance.

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提高政府绩效的数据素养:基于能力的方法和多维操作化
大数据分析在过去十年中备受关注,被视为组织下一个最重要的战略资源之一。然而,在当前的文献中,员工数据素养的作用似乎被忽视了。本研究的目的有两个:(1)通过确定数据素养的维度和衡量标准,将其发展为一种组织能力;(2)研究数据素养与政府绩效(内部和外部)之间的关系。利用对120个荷兰政府机构的调查数据,使用PLS-SEM对所提出的模型进行了测试。实验结果支持了所提出的理论框架和相应的测量工具。研究结果部分支持数据素养与绩效的关系,认为数据素养对内部绩效有显著影响。然而,与直觉相反,这种显著的影响并没有与外部表现相关。
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