Title
Open data innovation capabilities: Towards a framework of how to innovate with open data
Author
Eckartz, S.
van den Broek, T.
Ooms, M.
Contributor
Wimmer, M.A. (editor)
Tambouris, E. (editor)
Glassey, O. (editor)
Parycek, P. (editor)
Janssen, M. (editor)
Klievink, B. (editor)
Lindgren, I. (editor)
Soares, D.S. (editor)
Scholl, H.J. (editor)
Janowski, T. (editor)
Publication year
2016
Abstract
Innovation based on open data lags behind the high expectations of policy makers. Hence, open data researchers have investigated the barriers of open data publication and adoption. This paper contributes to this literature by taking a capabilities perspective on how successful open data re-users create value out of the available data sources. First, a framework of IT, organization and skills capabilities required to innovate with data is derived from literature. Second, a case study including a survey and interview with managers from 12 frontrunners in the Netherlands was conducted. The analysis reveals that skills are valued the highest closely followed by organizational capabilities. Setting up a multi-disciplinary team with motivated employees and giving this team the mandate to experiment with data, is essential when innovating with open data. Theoretically, this study contributes to open data research by offering a new capabilities perspective on the organizational level. Our results highlight the importance of entrepreneurship theories to explain value creation with open data. Practically, our study suggests that digital skills and start-ups are important to the open government data policies. © IFIP International Federation for Information Processing 2016.
Subject
2015 Urban Mobility & Environment
SP2 - Strategy & Policy 2
ELSS - Earth, Life and Social Sciences
Smart Cities
Urbanisation
Capabilities
Open data
Public sector innovation
Re-use
Value of data and apps
Artificial intelligence
Computer science
Computers
Capabilities
Innovation capability
Motivated employees
Multi-disciplinary teams
Open datum
Organizational capabilities
Organizational levels
Public sector
Government data processing
To reference this document use:
http://resolver.tudelft.nl/uuid:ae8f6a2d-ef27-4461-8d67-eec1480af336
DOI
https://doi.org/10.1007/978-3-319-44421-5_4
TNO identifier
572409
Publisher
Springer Verlag
ISBN
9783319444208
ISSN
0302-9743
Source
15th IFIP WG 8.5 International Conference on Electronic Government, EGOV 2016, 5 September 2016 through 8 September 2016, 9820, 47-60
Series
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Document type
conference paper