Towards Data-Driven Decision-Making in Government: Identifying Opportunities and Challenges for Data Use and Analytics

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dc.contributor.authorChoi, Yongjin
dc.contributor.authorGil-Garcia, J.
dc.contributor.authorBurke, G Brian
dc.contributor.authorCostello, Jim
dc.contributor.authorWerthmuller, Derek
dc.contributor.authorAranay, Oguz
dc.date.accessioned2020-12-24T19:26:27Z
dc.date.available2020-12-24T19:26:27Z
dc.date.issued2021-01-05
dc.description.abstractDespite the growing body of literature on data-driven decision-making (DDDM) and, more recently, big data, empirical analyses on processes and strategies of government agencies toward DDDM are still scarce. To mitigate this gap in the literature, this study identifies and explains opportunities and challenges of data use and analytics found in a case of a U.S. state-government agency that is in charge of water quality management and has started to implement Evidence-Based Policy Making (EBPM). By drawing on four dimensions, data, technology, organization, and institutions, the results show how the organization’s DDDM practices are enabled or constrained by nine types of determinants: data quality/coverage, compatibility/interoperability, external data, information technologies/software, analytical techniques, cooperation, culture, privacy/confidentiality, and public procurement. Overall, the findings imply that either quality data or advanced analytic techniques alone do not guarantee effective DDDM; organizational and institutional support is also needed for successful implementation.
dc.format.extent10 pages
dc.identifier.doi10.24251/HICSS.2021.268
dc.identifier.isbn978-0-9981331-4-0
dc.identifier.urihttp://hdl.handle.net/10125/70881
dc.language.isoEnglish
dc.relation.ispartofProceedings of the 54th Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectDigital Transformation and Government: Barriers to and Enablers of Change
dc.subjectdata analysis
dc.subjectdata-driven decision-making
dc.subjectelectronic government
dc.subjectevidence-based policy making
dc.subjectwater quality management
dc.titleTowards Data-Driven Decision-Making in Government: Identifying Opportunities and Challenges for Data Use and Analytics
prism.startingpage2183

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Digital Transformation and Government: Barriers to and Enablers of Change