Putting Big Data to Work in Government
The Case of the United States Border Patrol
Bibliographic Data
| ID | 6360928 |
|---|---|
| Authors | Stephen Coulthart (University at Albany, State University of New York, corresponding author), Ryan Riccucci (University of Arizona) |
| Year | 2021 |
| Volume | 82 |
| Issue | 2 |
| Pages | 280-289 |
| Publication date | 2021-09-18 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Public Administration Review (JOURNAL) |
| Journal identifiers | ISSN: 0033-3352 • E-ISSN: 1540-6210 |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1111/puar.13431 |
| OpenAlex | W3199195911 |
| Language | EN |
| Citations received | 13 |
| References cited | 34 |
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
Agency (philosophy · Analytics · Big data · Business · Corporate governance · Data governance · Data quality · Data science · Front line · General partnership · Government (linguistics · Knowledge management · Leverage (statistics · Political science · Process (computing · Public relations · Public sector · Sociology · Work (physics · Big Data and Business Intelligence · Computer Science · Data Quality and Management · E-Government and Public Services · Engineering · Marketing
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Public value misalignment and adoption of algorithmic tools
Disruptive technologies and intelligence services
Data in Policing
The future of public administration research
A New Era and New Concepts in the Study of Race in Public Administration
Leading digital transformation
Nursery City Innovation
Explaining Why the Computer Says No
Making governance agile
Smart Interaction vs. Face-to-Face? Evidence from a Survey Experiment on Perceived Government Responsiveness in China
The Discovery of Grounded Theory
Data sovereignty
Innovation in the Public Sector
Are We There Yet? Data Saturation in Qualitative Research
Big Data in the Public Sector
Big Data in Public Affairs
Effective Practitioner–Scholar Relationships
Assessing Qualitative Studies in Public Administration Research
Doing What Works
We All Need Help
Public Administration Scholarship and the Politics of Coproducing Academic–Practitioner Research
Rediscovering Defense Policy
Leveraging Technologies in Public Agencies
Patrolling Chaos
Efforts to Improve Public Policy and Programs through Data Practice
Big Data and AI – A transformational shift for government
Big Data in the workplace
Beyond the buzzword
The rugged border
| Unique citing works | 13 |
|---|---|
| Citations per year | 3,25 |
| Citation span | 2022 - 2026 (5) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 13 |