Toward a predictive model of human resource requirements for white collar crime investigations.

摘要

This research is an empirical examination of two characteristics ascribed to a white collar crime case evaluation model, the Complexity Rating Scheme, used by the Royal Canadian Mounted Policc (hereafter referred to as the RCMP) to assess the attributes of field investigations. First, the Complexity Rating Scheme reportedly predicts the amount of time, in hours, an investigator will require to complete a white collar crime investigation. Second, the scheme reportedly classifies white collar crimes on the basis of Complexity.;The analysis undertaken in this research confirms that a relationship does exist between complexity, as measured by the Complexity Rating Scheme, and investigative time. Unfortunately, the strength of that relationship precludes the Complexity Rating Scheme from being a basis for predicting investigative time. The Complexity Rating Scheme, in the limited context in which complexity was defined, does reliably classify white collar crimes.;Further, the results of exploratory analysis, designed to extend this research beyond the original research questions, suggests it may be possible to enhance the capabilities of the Complexity Rating Scheme.