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The effects of OGD-based accounting practices on perceived accountability of public administrations

Authors: Del Bene Luca; Tommasetti Aurelio; Maione Gennaro; Leoni Giulia;

The effects of OGD-based accounting practices on perceived accountability of public administrations

Abstract

Accountability can be considered as neutral and sterile without a governance of public administration that has therefore progressively led to overcoming the limits linked to the excessive rigidity and bureaucracy of traditional accounting practices. This paper focuses on the main themes of Open Government Data (transparency, collaboration and participation) and analyzes through a quantitative approach, based on Structural Equation Model (SEM), their main impacts on perceived accountability. The aim is to verify the suitability of OGD-based accounting practices to improve citizens’ perception of the accountability of the public administration. The research makes an empirical contribution to the literature on accounting through the analysis of a management approach within a sector where studies are still fragmented.

Country
Italy
Keywords

Open Government Data (OGD), transparency, collaboration, participation, accounting practices, public administration, Structural Equation Model (SEM)

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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