The DOI matches its Crossref record; 64 of the 64 references it cites were found in a registry or an index.
Data-Driven Innovation through Open Government Data
Open accessAbstract
The exponentially growing production of data and the social trend towards openness and sharing are power-ful forces that are changing the global economy and society. Governments around the world have become active participants in this evolution, opening up their data for access and reuse by public and private agents alike. The phenomenon of Open Government Data has spread around the world in the last four years, driven by the widely held belief that use of Open Government Data has the ability to generate both economic and social value. However, a cursory review of the popular press, as well as an investigation of academic research and empirical data, reveals the need to further understand the relationship between Open Government Data and value. In this paper, we focus on how use of Open Government Data can bring about new innovative solutions that can generate social and economic value. We apply a critical realist approach to a case study analysis to uncover the mechanisms that can explain how data is transformed to value. We explore the case of Opower, a pioneer in using and transforming data to induce a behavioral change that has resulted in a considerable reduction in energy use over the last six years.
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Cites
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Cited by
Data-driven optimal dynamic pricing strategy for reducing perishable food waste at retailers
Kayikci, Y., Demir, S., Mangla, S. K., Subramanian, N., & Koc, B. (2022) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2022.131068 · Cited by 125
Generating Value from Government Data Using AI: An Exploratory Study
Gao, Y., & Janssen, M. (2020) · Lecture Notes in Computer Science · doi:10.1007/978-3-030-57599-1_24 · Cited by 34
Valli Buttow, C., & Weerts, S. (2022) · Big Data & Society · doi:10.1177/20539517221124587 · Cited by 19
Luthfi, A., & Janssen, M. (2019) · International Journal on Advanced Science, Engineering and Information Technology · doi:10.18517/ijaseit.9.3.8846 · Cited by 22
“Some prospect innovations and added values from the extension of opening data might have significant impacts [21].”
Background
Metadata
- Authors
- Jetzek, T., Avital, M., & Bjorn-Andersen, N.
- Venue
- Journal of theoretical and applied electronic commerce research
- Publisher
- MDPI AG
- Published
- 2014-08
- Volume
- 9
- Issue
- 2
- Pages
- 15-16
- ISSN
- 0718-1876 (ISSN-L)
- OpenAlex
- W2142565310
- Cited by
- 295
- References
- 64
- FWCI
- 87.00
- Type
- journal article
- Language
- en
- Open access
- gold
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- Jetzek, T., Avital, M., & Bjorn-Andersen, N. (2014). Data-Driven Innovation through Open Government Data. Journal of theoretical and applied electronic commerce research. https://doi.org/10.4067/s0718-18762014000200008
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
