Zeleti, Fatemeh Ahmadi and Ojo, Adegboyega (2018) Capability model for open data: An empirical analysis. In: ICEGOV '18: Proceedings of the 11th International Conference on Theory and Practice of Electronic Governance. Association for Computing Machinery (ACM), pp. 403-411. ISBN 9781450354219
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Abstract
Creating superior competitiveness is central to open data
organization’s survivability in the fast changing and competitive
open data market. In their quest to develop and increase
competitiveness and survivability, many of these organizations
are moving towards developing open data capabilities. Researchbased knowledge on open data capabilities and how they relate to
each other remains sparse, however, with most of the open data
literature focusing on social and economic value of open data, not
capabilities required. By exploring the related literature on
business and organizational capabilities and linking the findings
to the empirical evidence collected through the survey of 49 open
data organizations around the world, this study develops an open
data capability model. The model emerged from our deductive
research process improves both theoretical and practical
understanding of open data capabilities and their relationships
required to help increase competitiveness and survivability of
these types of organizations.
Item Type: | Book Section |
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Additional Information: | Cite as: F. Zeleti, A. Ojo. 2018. Capability Model for Open Data: An Empirical Analysis. In Proceedings of the 11th International Conference on Theory and Practice of Electronic Governance, Galway, Ireland, April 2018 (ICEGOV’18), 9 pages. DOI: 10.1145/3209415.3209492 |
Keywords: | Open Data Organizations; Big Data Capability Model; Value Capability; Dynamic Capability; Competitive Capability; Types of Capabilities; |
Academic Unit: | Faculty of Social Sciences > School of Business |
Item ID: | 13378 |
Identification Number: | 10.1145/3209415.3209492 |
Depositing User: | Adegboyega Ojo |
Date Deposited: | 02 Oct 2020 16:10 |
Publisher: | Association for Computing Machinery (ACM) |
Refereed: | Yes |
Related URLs: | |
URI: | https://mural.maynoothuniversity.ie/id/eprint/13378 |
Use Licence: | This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here |
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