Using spatial analysis for monitoring fraud in a public delivery program

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

In this article, fraud in public delivery programs is approached using spatial analysis. By examining welfare recipients' consumer behaviors in a spatial framework, it is possible to identify stores that draw an anomalous clientele, such as those who travel long distances and avoid stores in their local area, indicating that these stores may be committing fraud. This article shows how this idea can be operationalized for monitoring fraud to secure public accountability.

Original languageEnglish (US)
Pages (from-to)287-301
Number of pages15
JournalSocial Science Computer Review
Volume25
Issue number3
DOIs
StatePublished - Aug 2007
Externally publishedYes

Fingerprint

Consumer behavior
fraud
monitoring
Monitoring
long-distance travel
welfare recipient
consumption behavior
responsibility

Keywords

  • Spatial analysis
  • Store choices
  • Vendor propensity measures

ASJC Scopus subject areas

  • Computer Science Applications
  • Computational Theory and Mathematics
  • Library and Information Sciences
  • Social Sciences(all)

Cite this

Using spatial analysis for monitoring fraud in a public delivery program. / Kim, Yushim.

In: Social Science Computer Review, Vol. 25, No. 3, 08.2007, p. 287-301.

Research output: Contribution to journalArticle

@article{dea0a2593f1747549854398d6632cd7e,
title = "Using spatial analysis for monitoring fraud in a public delivery program",
abstract = "In this article, fraud in public delivery programs is approached using spatial analysis. By examining welfare recipients' consumer behaviors in a spatial framework, it is possible to identify stores that draw an anomalous clientele, such as those who travel long distances and avoid stores in their local area, indicating that these stores may be committing fraud. This article shows how this idea can be operationalized for monitoring fraud to secure public accountability.",
keywords = "Spatial analysis, Store choices, Vendor propensity measures",
author = "Yushim Kim",
year = "2007",
month = "8",
doi = "10.1177/0894439307299650",
language = "English (US)",
volume = "25",
pages = "287--301",
journal = "Social Science Computer Review",
issn = "0894-4393",
publisher = "SAGE Publications Inc.",
number = "3",

}

TY - JOUR

T1 - Using spatial analysis for monitoring fraud in a public delivery program

AU - Kim, Yushim

PY - 2007/8

Y1 - 2007/8

N2 - In this article, fraud in public delivery programs is approached using spatial analysis. By examining welfare recipients' consumer behaviors in a spatial framework, it is possible to identify stores that draw an anomalous clientele, such as those who travel long distances and avoid stores in their local area, indicating that these stores may be committing fraud. This article shows how this idea can be operationalized for monitoring fraud to secure public accountability.

AB - In this article, fraud in public delivery programs is approached using spatial analysis. By examining welfare recipients' consumer behaviors in a spatial framework, it is possible to identify stores that draw an anomalous clientele, such as those who travel long distances and avoid stores in their local area, indicating that these stores may be committing fraud. This article shows how this idea can be operationalized for monitoring fraud to secure public accountability.

KW - Spatial analysis

KW - Store choices

KW - Vendor propensity measures

UR - http://www.scopus.com/inward/record.url?scp=34548101467&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=34548101467&partnerID=8YFLogxK

U2 - 10.1177/0894439307299650

DO - 10.1177/0894439307299650

M3 - Article

AN - SCOPUS:34548101467

VL - 25

SP - 287

EP - 301

JO - Social Science Computer Review

JF - Social Science Computer Review

SN - 0894-4393

IS - 3

ER -