Big Data Analytics Capability and Governmental Performance

Auteurs Guido Ongena, Arjen Davids
Gepubliceerd in International Journal of Electronic Government Research (IJEGR)
Publicatiedatum 18 april 2023
Lectoraat Procesinnovatie & informatiesystemen
Soort publicatie Artikel

Samenvatting

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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  • Guido Ongena | onderzoeker | Procesinnovatie en Informatiesystemen
    Guido Ongena
    • Lector
    • Lectoraat: Procesinnovatie & informatiesystemen

Taal Engels
Gepubliceerd in International Journal of Electronic Government Research (IJEGR)
Jaar en volume 19 1
Trefwoorden Big Data Analytics Capability, Big Data Analytics, Effectiveness, Efficiëncy, Fairness, Structural Equation Modeling, Governmental performance
Digital Object Identifier https://doi.org/10.4018/IJEGR.321638

Guido Ongena

Guido Ongena | onderzoeker | Procesinnovatie en Informatiesystemen

Guido Ongena

  • Lector
  • Lectoraat: Procesinnovatie & informatiesystemen