Yes / Government legislation and calls for greater levels of
oversight and transparency are leading public bodies to publish
their raw datasets online. Policy makers and elected officials
anticipate that the accessibility of open data through online
Government portals for citizens will enable public engagement
in policy making through increased levels of fact based content
elicited from open data. The usability and benefits of such open
data are being argued as contributing positively towards public
sector reforms, which are under extreme pressures driven by
extended periods of austerity. However, there is very limited
scholarly studies that have attempted to empirically evaluate the
performance of government open data websites and the acceptance
and use of these data from a citizen perspective. Given
this research void, an adjusted diffusion of innovation model
based on Rogers’ diffusion of innovations theory (DOI) is proposed
and used in this paper to empirically determine the predictors
influencing the use of public sector open data. A good
understanding of these predictors affecting the acceptance and
use of open data will likely assist policy makers and public
administrations in determining the policy instruments that can
increase the acceptance and use of open data through an active
promotion campaign to engage-contribute-use.
| Identifer | oai:union.ndltd.org:BRADFORD/oai:bradscholars.brad.ac.uk:10454/11522 |
| Date | 23 July 2016 |
| Creators | Weerakkody, Vishanth J.P., Irani, Zahir, Kapoor, K., Sivarajah, Uthayasankar, Dwivedi, Y.K. |
| Source Sets | Bradford Scholars |
| Language | English |
| Detected Language | English |
| Type | Article, Published version |
| Rights | © 2017 The Authors. This is an Open Access article distributed under the Creative Commons CC-BY license (http://creativecommons.org/licenses/by/4.0/) |
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