@inproceedings{7c6d39d0e625400fa9a6dab070068f74,
title = "A predictive model for citizens’ utilization of open government data portals",
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.",
keywords = "Open data utilization, Open government data portal, Predictive model",
author = "Di Wang and Deborah Richards and Bilgin, {Ayse Aysin} and Chuanfu Chen",
year = "2020",
doi = "10.1007/978-3-030-64452-9_14",
language = "English",
isbn = "9783030644512",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer, Springer Nature",
pages = "159--175",
editor = "Emi Ishita and Pang, {Natalie Lee} and Lihong Zhou",
booktitle = "Digital Libraries at Times of Massive Societal Transition",
address = "United States",
}