Big Data Analytics Capability and Governmental Performance

Authors Guido Ongena, Arjen Davids
Published in International Journal of Electronic Government Research (IJEGR)
Publication date 18 April 2023
Research groups Process Innovation and Information Systems
Type Article

Summary

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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On this publication contributed

  • Guido Ongena | Researcher | Process Innovation and Information Systems
    Guido Ongena
    • Professor
    • Research group: Process Innovation and Information Systems

Language English
Published in International Journal of Electronic Government Research (IJEGR)
Year and volume 19 1
Key words Big Data Analytics Capability, Big Data Analytics, Effectiveness, Efficiëncy, Fairness, Structural Equation Modeling, Governmental performance
Digital Object Identifier 10.4018/IJEGR.321638

Guido Ongena

Guido Ongena | Researcher | Process Innovation and Information Systems

Guido Ongena

  • Professor
  • Research group: Process Innovation and Information Systems