Big Data Analytics Capability and Governmental Performance: An Empirical Examination

被引:1
|
作者
Ongena, Guido [1 ]
Davids, Arjen [1 ]
机构
[1] HU Univ Appl Sci, Utrecht, Netherlands
关键词
Big Data Analytics Capability; Effectiveness; Efficiency; Fairness; Governmental Performance; Structural Equation Modeling; ORGANIZATIONAL PERFORMANCE; FIRM PERFORMANCE; BIAS;
D O I
10.4018/IJEGR.321638
中图分类号
G25 [图书馆学、图书馆事业]; G35 [情报学、情报工作];
学科分类号
1205 ; 120501 ;
摘要
Although governments are investing heavily in big data analytics, reports show mixed results in terms of performance. Whilst big data analytics capability provided a valuable lens in business and seems useful for the public sector, there is little knowledge of its relationship with governmental performance. This study aims to explain how big data analytics capability led to governmental performance. Using a survey research methodology, an integrated conceptual model is proposed highlighting a comprehensive set of big data analytics resources influencing governmental performance. The conceptual model was developed based on prior literature. Using a PLS-SEM approach, the results strongly support the posited hypotheses. Big data analytics capability has a strong impact on governmental efficiency, effectiveness, and fairness. The findings of this paper confirmed the imperative role of big data analytics capability in governmental performance in the public sector, which earlier studies found in the private sector. This study also validated measures of governmental performance.
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页数:18
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