Putting Big Data to Work in Government: The Case of the United States Border Patrol.
Investigating how the public sector adopts technologies to process and analyze very large datasets is crucial for understanding governance in the digital age. The authors of this article examine a large government agency, the United States Border Patrol (USBP), an organization that is in the early p...
| Publicado en: | Public Administration Review Vol. 82; no. 2; pp. 280 - 290 |
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| Autores principales: | , |
| Formato: | Artículo |
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Wiley-Blackwell
Mar2022
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=155809181&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 155809181 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00333352 PBA jtl: Public Administration Review issn: 00333352 maglogo: Y pubinfo: dt: Mar2022 vid: 82 iid: 2 pid: 480 pub: Wiley-Blackwell artinfo: ui: 155809181 10.1111/puar.13431 ppf: 280 ppct: 10 formats: fmt: – @attributes: type: T – @attributes: type: P size: 325KB tig: atl: Putting Big Data to Work in Government: The Case of the United States Border Patrol. aug: au: Coulthart, Stephen Riccucci, Ryan affil: University at Albany (SUNY) University of Arizona su: U.S. Border Patrol Leadership Public administration Big data sug: subj: Leadership Public administration U.S. Border Patrol Other General Government Support Big data ab: Investigating how the public sector adopts technologies to process and analyze very large datasets is crucial for understanding governance in the digital age. The authors of this article examine a large government agency, the United States Border Patrol (USBP), an organization that is in the early phases of building big data capabilities. They argue the wide‐scale adoption of big data analytics will require trial‐and‐error processes coordinated by organizational leadership in partnership with front‐line employees who make the technology relevant to their needs in the field. Absent engagement from both levels, organizations like USBP that face significant barriers to adoption (e.g., limited data science expertise) will struggle to leverage data at scale. The authors also extend the literature on big data in the public sector and provide a rich description of how factors, such as organizational leadership and resources, impact the innovation process. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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