Maturity Model for Cognitive Computing Systems in the Public Sector
dc.contributor.author | Desouza, Kevin | |
dc.contributor.author | Götz, Franziska | |
dc.contributor.author | Dawson, Gregory S. | |
dc.date.accessioned | 2020-12-24T19:26:20Z | |
dc.date.available | 2020-12-24T19:26:20Z | |
dc.date.issued | 2021-01-05 | |
dc.description.abstract | Thanks to their enormous potential for creating more efficient processes and solving vexing problem, cognitive computing systems (CCSs) are increasingly prevalent in the public sector. However, their full deployment is stymied by all of the problems faced by private firms (e.g. organizational issues, people issues and technology issues) as well as problems that are unique to the public sector including stakeholder groups with conflicting goals and a demand for full transparency. In this study, we develop a public-sector centric maturity model approach to CCSs that acknowledges and addresses these problems while providing a path to evaluate, assess and guide CCS initiatives. By following this model, the public sector can reap the rewards of CCS deployment and provide better outcomes for its citizenry. | |
dc.format.extent | 10 pages | |
dc.identifier.doi | 10.24251/HICSS.2021.267 | |
dc.identifier.isbn | 978-0-9981331-4-0 | |
dc.identifier.uri | http://hdl.handle.net/10125/70880 | |
dc.language.iso | English | |
dc.relation.ispartof | Proceedings of the 54th Hawaii International Conference on System Sciences | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 International | |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/4.0/ | |
dc.subject | Digital Transformation and Government: Barriers to and Enablers of Change | |
dc.subject | cognitive computing systems | |
dc.subject | artificial intelligence | |
dc.subject | maturity models | |
dc.subject | public sector | |
dc.subject | public agencies | |
dc.title | Maturity Model for Cognitive Computing Systems in the Public Sector | |
prism.startingpage | 2173 |
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