Big data and the measurement of public organizations' performance and efficiency: The state-of-the-art

N. Rogge; T. Agasisti; K. De Witte

doi:10.1177/0952076716687355

Big data and the measurement of public organizations' performance and efficiency: The state-of-the-art

N. Rogge, T. Agasisti^*, K. De Witte

^*Corresponding author for this work

Teachers Academy

Research output: Contribution to journal › Article › Academic › peer-review

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Abstract

The increasing availability of statistical data raises opportunities for big' data and learning analytics. Here, we review the academic literature and research relating to the use of big data analytics in the public sector, and its contribution to public organizations' performance and efficiency. We outline the advantages as well as the limitations of using big data in public sector organizations and identify research gaps in recent studies and interesting areas for future research.

Original language	English
Pages (from-to)	263-281
Number of pages	19
Journal	Public Policy and Administration
Volume	32
Issue number	4
DOIs	https://doi.org/10.1177/0952076716687355
Publication status	Published - 1 Oct 2017

Keywords

Big data
efficiency analysis
learning analytics
performance analysis
public sector performance
SOCIAL MEDIA USE
LOCAL-GOVERNMENTS
EMPIRICAL-ANALYSIS
ADOPTION
CHALLENGES
MANAGEMENT
POLICY
USAGE
COMPETITION
INNOVATION

Access to Document

10.1177/0952076716687355

Full TextFinal published version, 151 KBLicence: Taverne

Cite this

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abstract = "The increasing availability of statistical data raises opportunities for big' data and learning analytics. Here, we review the academic literature and research relating to the use of big data analytics in the public sector, and its contribution to public organizations' performance and efficiency. We outline the advantages as well as the limitations of using big data in public sector organizations and identify research gaps in recent studies and interesting areas for future research.",

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