Businesses are under pressure to identify and control risks affecting profitability, including the risk of fraud. Identity theft, a type of fraud, costs businesses, governments, and individuals in excess of $56 billion a year. In order to develop good internal controls to help prevent and detect fraud, it is necessary to identify the risks to the business, but business owners are not always aware of what risk factors relate to identity theft. A nonexperimental research design formed the basis of this research study. The population for this study was data from all 50 U.S. states, represented via government databases maintained by the Federal Trade Commission, the U.S. Census Bureau, and the Department of Labor from all 50 U.S. states from 2008 until 2014. The fraud triangle theory formed the theoretical framework for this study. Regression analysis determined the significance of relationships between state-specific instances of international immigration, state-specific unemployment rates, and state-specific instances of identity theft. Both state-specific instances of international immigration and state-specific unemployment rates demonstrated a significant and positive relationship with instances of identity theft. The implications for positive social change include improved understanding of risk factors for identity theft, which could lead to lower costs of operation for businesses and lower prices for consumers.
| Identifer | oai:union.ndltd.org:waldenu.edu/oai:scholarworks.waldenu.edu:dissertations-4038 |
| Date | 01 January 2016 |
| Creators | Minniti, Robert K. |
| Publisher | ScholarWorks |
| Source Sets | Walden University |
| Language | English |
| Detected Language | English |
| Type | text |
| Format | application/pdf |
| Source | Walden Dissertations and Doctoral Studies |
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