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OPEN DATA FOR ACCOUNTABILITY AT TIMES OF EXCEPTION: AN EXPLORATORY ANALYSIS DURING THE COVID-19 PANDEMIC
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Purpose – At exceptional times, governments are entrusted with greater authority. This creates significant
concerns over governments’ transparency and accountability. This paper aims to pursue a twofold objective:
assessing the patterns of open government data during the extraordinary time initiated by the COVID-19
pandemic drawing relevant policy and managerial implications regarding the future development of open
data as a mechanism of accountability at times of exception.
Design/methodology/approach – The study follows exploratory research, relying on a web content
analysis. The empirical setting is provided by 20 Italian regional governments during the COVID-19
pandemic as a shock that has triggered an exceptional time for governments.
Findings – Results on the desirable (extrinsic and intrinsic) characteristics of the data analyzed show that in
the empirical setting investigated, open data does not enable to properly address the accountability concerns
of a demanding forum at times of exception.
Research limitations/implications – The paper enriches the state of the art on accountability and
provides both scholars and practitioners (e.g. policymakers, managers, etc.) a current reading of data-driven
orientation as a stimulus to the accountability of public administrations during exceptional times.
Originality/value – The paper investigates open data as a condition of public accountability, assessing
whether and how Italian regional governments have concretely opened their data to enable their forums to
elaboration of an informed opinion about their conduct during the ongoing pandemic. This fosters the
understanding of how accountability is deployed in times of exception in light of the possibilities offered by
the availability of online platforms.
Gennaro Maione, Daniela Sorrentino, Alba Demneri Kruja - Personal Name
NONE
Text
ENGLISH
EMERALD INSIGHT
2022
ENGLAND
JURNAL ILMU PEMERINTAHAN
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APA Citation
Gennaro Maione, Daniela Sorrentino, Alba Demneri Kruja. (2022).OPEN DATA FOR ACCOUNTABILITY AT TIMES OF EXCEPTION: AN EXPLORATORY ANALYSIS DURING THE COVID-19 PANDEMIC.(Electronic Thesis or Dissertation). Retrieved from https://localhost/etd