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2020 | OriginalPaper | Buchkapitel

A Predictive Model for Citizens’ Utilization of Open Government Data Portals

verfasst von : Di Wang, Deborah Richards, Ayse Aysin Bilgin, Chuanfu Chen

Erschienen in: Digital Libraries at Times of Massive Societal Transition

Verlag: Springer International Publishing

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Abstract

Open government data (OGD) initiatives for building OGD portals have not yet delivered the expected benefits of OGD to the whole of society. Although citizens’ reluctance to use OGD has become a key problem in the present OGD development, limited studies have been carried out to investigate citizens’ actual usage of OGD and OGD portals. In order to fill this research gap, this study primarily focuses on predicting citizens’ actual utilization of OGD portals. To find features influencing citizens’ utilization of OGD portals and to predict their actual usage of OGD portals, an experiment was designed and carried out in China. A predictive model was built with C5.0 algorithm based on data collected through the experiment, with a predictive accuracy rate of 84.81%. Citizens’ monthly income, the compatibility of OGD portals, and citizens’ attentiveness regarding their interactions with OGD portals are found to be the most important factors influencing citizens’ actual utilization of OGD portals. Positive effects of compatibility, attentiveness, and perceived usefulness on citizens’ usage of OGD portals are noticed.
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Metadaten
Titel
A Predictive Model for Citizens’ Utilization of Open Government Data Portals
verfasst von
Di Wang
Deborah Richards
Ayse Aysin Bilgin
Chuanfu Chen
Copyright-Jahr
2020
DOI
https://doi.org/10.1007/978-3-030-64452-9_14

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